Bump fastjson from 1.2.78 to 1.2.83 in /tdenginewriter

Bumps [fastjson](https://github.com/alibaba/fastjson) from 1.2.78 to 1.2.83.
- [Release notes](https://github.com/alibaba/fastjson/releases)
- [Commits](https://github.com/alibaba/fastjson/compare/1.2.78...1.2.83)

---
updated-dependencies:
- dependency-name: com.alibaba:fastjson
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

NOTICE

@@ -0,0 +1,39 @@
+========================================================
+DataX 是阿里云 DataWorks数据集成 的开源版本，在阿里巴巴集团内被广泛使用的离线数据同步工具/平台。DataX 实现了包括 MySQL、Oracle、OceanBase、SqlServer、Postgre、HDFS、Hive、ADS、HBase、TableStore(OTS)、MaxCompute(ODPS)、Hologres、DRDS 等各种异构数据源之间高效的数据同步功能。
+
+DataX is an open source offline data synchronization tool / platform widely used in Alibaba group and other companies. DataX implements efficient data synchronization between heterogeneous data sources including mysql, Oracle, oceanbase, sqlserver, postgre, HDFS, hive, ads, HBase, tablestore (OTS), maxcompute (ODPs), hologres, DRDS, etc.
+
+Copyright 1999-2022 Alibaba Group Holding Ltd.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+     http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+===================================================================
+文级别引用，按许可证
+This product contains various third-party components under other open source licenses.
+This section summarizes those components and their licenses. 
+GNU Lesser General Public License
+--------------------------------------
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/conn/CliQuery.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/conn/Connection4TSDB.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/conn/DataPoint4TSDB.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/conn/DumpSeries.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/conn/OpenTSDBConnection.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/conn/OpenTSDBDump.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/opentsdbreader/Constant.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/opentsdbreader/Key.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/opentsdbreader/OpenTSDBReader.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/opentsdbreader/OpenTSDBReaderErrorCode.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/util/HttpUtils.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/util/TSDBUtils.java
+opentsdbreader/src/main/java/com/alibaba/datax/plugin/reader/util/TimeUtils.java
+===================================================================

README.md

@@ -1,11 +1,14 @@
 ![Datax-logo](https://github.com/alibaba/DataX/blob/master/images/DataX-logo.jpg)
 
 
-
 # DataX
 
-DataX 是阿里巴巴集团内被广泛使用的离线数据同步工具/平台，实现包括 MySQL、Oracle、SqlServer、Postgre、HDFS、Hive、ADS、HBase、TableStore(OTS)、MaxCompute(ODPS)、DRDS 等各种异构数据源之间高效的数据同步功能。
+DataX 是阿里云 [DataWorks数据集成](https://www.aliyun.com/product/bigdata/ide) 的开源版本，在阿里巴巴集团内被广泛使用的离线数据同步工具/平台。DataX 实现了包括 MySQL、Oracle、OceanBase、SqlServer、Postgre、HDFS、Hive、ADS、HBase、TableStore(OTS)、MaxCompute(ODPS)、Hologres、DRDS 等各种异构数据源之间高效的数据同步功能。
 
+# DataX 商业版本
+阿里云DataWorks数据集成是DataX团队在阿里云上的商业化产品，致力于提供复杂网络环境下、丰富的异构数据源之间高速稳定的数据移动能力，以及繁杂业务背景下的数据同步解决方案。目前已经支持云上近3000家客户，单日同步数据超过3万亿条。DataWorks数据集成目前支持离线50+种数据源，可以进行整库迁移、批量上云、增量同步、分库分表等各类同步解决方案。2020年更新实时同步能力，2020年更新实时同步能力，支持10+种数据源的读写任意组合。提供MySQL，Oracle等多种数据源到阿里云MaxCompute，Hologres等大数据引擎的一键全增量同步解决方案。
+
+商业版本参见：  https://www.aliyun.com/product/bigdata/ide
 
 
 # Features
@@ -22,7 +25,8 @@ DataX本身作为数据同步框架，将不同数据源的同步抽象为从源
 
 # Quick Start
 
-##### Download [DataX下载地址](http://datax-opensource.oss-cn-hangzhou.aliyuncs.com/datax.tar.gz)
+##### Download [DataX下载地址](https://datax-opensource.oss-cn-hangzhou.aliyuncs.com/20220530/datax.tar.gz)
+
 
 ##### 请点击：[Quick Start](https://github.com/alibaba/DataX/blob/master/userGuid.md)
 
@@ -36,6 +40,7 @@ DataX目前已经有了比较全面的插件体系，主流的RDBMS数据库、N
 | ------------ | ---------- | :-------: | :-------: |:-------: |
 | RDBMS 关系型数据库 | MySQL      |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/mysqlreader/doc/mysqlreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/mysqlwriter/doc/mysqlwriter.md)|
 |              | Oracle     |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/oraclereader/doc/oraclereader.md) 、[写](https://github.com/alibaba/DataX/blob/master/oraclewriter/doc/oraclewriter.md)|
+|              | OceanBase  |     √     |     √     |[读](https://open.oceanbase.com/docs/community/oceanbase-database/V3.1.0/use-datax-to-full-migration-data-to-oceanbase) 、[写](https://open.oceanbase.com/docs/community/oceanbase-database/V3.1.0/use-datax-to-full-migration-data-to-oceanbase)|
 |              | SQLServer  |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/sqlserverreader/doc/sqlserverreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/sqlserverwriter/doc/sqlserverwriter.md)|
 |              | PostgreSQL |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/postgresqlreader/doc/postgresqlreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/postgresqlwriter/doc/postgresqlwriter.md)|
 |              | DRDS |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/drdsreader/doc/drdsreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/drdswriter/doc/drdswriter.md)|
@@ -43,13 +48,13 @@ DataX目前已经有了比较全面的插件体系，主流的RDBMS数据库、N
 | 阿里云数仓数据存储    | ODPS       |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/odpsreader/doc/odpsreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/odpswriter/doc/odpswriter.md)|
 |              | ADS        |           |     √     |[写](https://github.com/alibaba/DataX/blob/master/adswriter/doc/adswriter.md)|
 |              | OSS        |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/ossreader/doc/ossreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/osswriter/doc/osswriter.md)|
-|              | OCS        |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/ocsreader/doc/ocsreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/ocswriter/doc/ocswriter.md)|
+|              | OCS        |           |     √     |[写](https://github.com/alibaba/DataX/blob/master/ocswriter/doc/ocswriter.md)|
 | NoSQL数据存储    | OTS        |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/otsreader/doc/otsreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/otswriter/doc/otswriter.md)|
 |              | Hbase0.94  |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/hbase094xreader/doc/hbase094xreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/hbase094xwriter/doc/hbase094xwriter.md)|
 |              | Hbase1.1   |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/hbase11xreader/doc/hbase11xreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/hbase11xwriter/doc/hbase11xwriter.md)|
 |              | Phoenix4.x   |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/hbase11xsqlreader/doc/hbase11xsqlreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/hbase11xsqlwriter/doc/hbase11xsqlwriter.md)|
 |              | Phoenix5.x   |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/hbase20xsqlreader/doc/hbase20xsqlreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/hbase20xsqlwriter/doc/hbase20xsqlwriter.md)|
-|              | MongoDB    |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/mongoreader/doc/mongoreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/mongowriter/doc/mongowriter.md)|
+|              | MongoDB    |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/mongodbreader/doc/mongodbreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/mongodbwriter/doc/mongodbwriter.md)|
 |              | Hive       |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/hdfsreader/doc/hdfsreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/hdfswriter/doc/hdfswriter.md)|
 |              | Cassandra       |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/cassandrareader/doc/cassandrareader.md) 、[写](https://github.com/alibaba/DataX/blob/master/cassandrawriter/doc/cassandrawriter.md)|
 | 无结构化数据存储     | TxtFile    |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/txtfilereader/doc/txtfilereader.md) 、[写](https://github.com/alibaba/DataX/blob/master/txtfilewriter/doc/txtfilewriter.md)|
@@ -58,10 +63,42 @@ DataX目前已经有了比较全面的插件体系，主流的RDBMS数据库、N
 |              | Elasticsearch       |         |     √     |[写](https://github.com/alibaba/DataX/blob/master/elasticsearchwriter/doc/elasticsearchwriter.md)|
 | 时间序列数据库 | OpenTSDB | √ |  |[读](https://github.com/alibaba/DataX/blob/master/opentsdbreader/doc/opentsdbreader.md)|
 |  | TSDB | √ | √ |[读](https://github.com/alibaba/DataX/blob/master/tsdbreader/doc/tsdbreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/tsdbwriter/doc/tsdbhttpwriter.md)|
+|  | TDengine | √ | √ |[读](https://github.com/alibaba/DataX/blob/master/tdenginereader/doc/tdenginereader-CN.md) 、[写](https://github.com/alibaba/DataX/blob/master/tdenginewriter/doc/tdenginewriter-CN.md)|
+
+# 阿里云DataWorks数据集成
+
+目前DataX的已有能力已经全部融和进阿里云的数据集成，并且比DataX更加高效、安全，同时数据集成具备DataX不具备的其它高级特性和功能。可以理解为数据集成是DataX的全面升级的商业化用版本，为企业可以提供稳定、可靠、安全的数据传输服务。与DataX相比，数据集成主要有以下几大突出特点：
+
+支持实时同步：
+
+- 功能简介：https://help.aliyun.com/document_detail/181912.html
+- 支持的数据源：https://help.aliyun.com/document_detail/146778.html
+- 支持数据处理：https://help.aliyun.com/document_detail/146777.html
+
+离线同步数据源种类大幅度扩充：
+
+- 新增比如：DB2、Kafka、Hologres、MetaQ、SAPHANA、达梦等等，持续扩充中
+- 离线同步支持的数据源：https://help.aliyun.com/document_detail/137670.html
+- 具备同步解决方案：
+    - 解决方案系统：https://help.aliyun.com/document_detail/171765.html
+    - 一键全增量：https://help.aliyun.com/document_detail/175676.html
+    - 整库迁移：https://help.aliyun.com/document_detail/137809.html
+    - 批量上云：https://help.aliyun.com/document_detail/146671.html
+    - 更新更多能力请访问：https://help.aliyun.com/document_detail/137663.html
+
 
 # 我要开发新的插件
+
 请点击：[DataX插件开发宝典](https://github.com/alibaba/DataX/blob/master/dataxPluginDev.md)
 
+# 重要版本更新说明
+
+DataX 后续计划月度迭代更新，也欢迎感兴趣的同学提交 Pull requests，月度更新内容会介绍介绍如下。
+
+- [datax_v202205]（https://github.com/alibaba/DataX/releases/tag/datax_v202205)
+    - 涉及通道能力更新（MaxCompute、Hologres、OSS、Tdengine等）、安全漏洞更新、通用打包更新等
+
+
 # 项目成员
 
 核心Contributions: 言柏 、枕水、秋奇、青砾、一斅、云时
@@ -108,20 +145,10 @@ This software is free to use under the Apache License [Apache license](https://g
     8. 对高并发、高稳定可用性、高性能、大数据处理有过实际项目及产品经验者优先考虑；
     9. 有大数据产品、云产品、中间件技术解决方案者优先考虑。
 ````
-钉钉用户群：
 
-- DataX开源用户交流群
-    - <img src="https://github.com/alibaba/DataX/blob/master/images/DataX%E5%BC%80%E6%BA%90%E7%94%A8%E6%88%B7%E4%BA%A4%E6%B5%81%E7%BE%A4.jpg" width="20%" height="20%">
+用户咨询支持：
 
-- DataX开源用户交流群2
-    - <img src="https://github.com/alibaba/DataX/blob/master/images/DataX%E5%BC%80%E6%BA%90%E7%94%A8%E6%88%B7%E4%BA%A4%E6%B5%81%E7%BE%A42.jpg" width="20%" height="20%">
+钉钉群目前暂时受到了一些管控策略影响，建议大家有问题优先在这里提交问题 Issue，DataX研发和社区会定期回答Issue中的问题，知识库丰富后也能帮助到后来的使用者。
 
-- DataX开源用户交流群3
-    - <img src="https://github.com/alibaba/DataX/blob/master/images/DataX%E5%BC%80%E6%BA%90%E7%94%A8%E6%88%B7%E4%BA%A4%E6%B5%81%E7%BE%A43.jpg" width="20%" height="20%">
 
-- DataX开源用户交流群4
-    - <img src="https://github.com/alibaba/DataX/blob/master/images/DataX%E5%BC%80%E6%BA%90%E7%94%A8%E6%88%B7%E4%BA%A4%E6%B5%81%E7%BE%A44.jpg" width="20%" height="20%">
-
-- DataX开源用户交流群5
-    - <img src="https://github.com/alibaba/DataX/blob/master/images/DataX%E5%BC%80%E6%BA%90%E7%94%A8%E6%88%B7%E4%BA%A4%E6%B5%81%E7%BE%A45.jpg" width="20%" height="20%">
 

adbpgwriter/src/main/doc/adbpgwriter.md

@@ -65,9 +65,9 @@ COPY命令将数据写入ADB PG数据库中。
             "writer": {
               "name": "adbpgwriter",
               "parameter": {
-                  "username": "username",
-                  "password": "password",
-                  "host": "host",
+                  "username": "",
+                  "password": "",
+                  "host": "127.0.0.1",
                   "port": "1234",
                   "database": "database",
                   "schema": "schema",

common/pom.xml

@@ -61,6 +61,14 @@
     </dependencies>
 
     <build>
+        <resources>
+          <resource>
+            <directory>src/main/java</directory>
+            <includes>
+              <include>**/*.properties</include>
+            </includes>
+          </resource>
+        </resources>
         <plugins>
             <plugin>
                 <artifactId>maven-compiler-plugin</artifactId>

common/src/main/java/com/alibaba/datax/common/element/BoolColumn.java

@@ -92,7 +92,13 @@ public class BoolColumn extends Column {
 		throw DataXException.asDataXException(
 				CommonErrorCode.CONVERT_NOT_SUPPORT, "Bool类型不能转为Date .");
 	}
-
+	
+	@Override
+	public Date asDate(String dateFormat) {
+		throw DataXException.asDataXException(
+				CommonErrorCode.CONVERT_NOT_SUPPORT, "Bool类型不能转为Date .");
+	}
+	
 	@Override
 	public byte[] asBytes() {
 		throw DataXException.asDataXException(

common/src/main/java/com/alibaba/datax/common/element/BytesColumn.java

@@ -75,6 +75,12 @@ public class BytesColumn extends Column {
 		throw DataXException.asDataXException(
 				CommonErrorCode.CONVERT_NOT_SUPPORT, "Bytes类型不能转为Date .");
 	}
+	
+	@Override
+	public Date asDate(String dateFormat) {
+		throw DataXException.asDataXException(
+				CommonErrorCode.CONVERT_NOT_SUPPORT, "Bytes类型不能转为Date .");
+	}
 
 	@Override
 	public Boolean asBoolean() {

common/src/main/java/com/alibaba/datax/common/element/Column.java

@@ -55,6 +55,8 @@ public abstract class Column {
 	public abstract String asString();
 
 	public abstract Date asDate();
+	
+	public abstract Date asDate(String dateFormat);
 
 	public abstract byte[] asBytes();
 

common/src/main/java/com/alibaba/datax/common/element/ColumnCast.java

@@ -22,6 +22,11 @@ public final class ColumnCast {
 			throws ParseException {
 		return StringCast.asDate(column);
 	}
+	
+	public static Date string2Date(final StringColumn column, String dateFormat)
+			throws ParseException {
+		return StringCast.asDate(column, dateFormat);
+	}
 
 	public static byte[] string2Bytes(final StringColumn column)
 			throws UnsupportedEncodingException {
@@ -115,6 +120,16 @@ class StringCast {
 		}
 		throw e;
 	}
+	
+	static Date asDate(final StringColumn column, String dateFormat) throws ParseException {
+		ParseException e;
+		try {
+			return FastDateFormat.getInstance(dateFormat, StringCast.timeZoner).parse(column.asString());
+		} catch (ParseException ignored) {
+			e = ignored;
+		}
+		throw e;
+	}
 
 	static byte[] asBytes(final StringColumn column)
 			throws UnsupportedEncodingException {

common/src/main/java/com/alibaba/datax/common/element/DateColumn.java

@@ -89,6 +89,11 @@ public class DateColumn extends Column {
 
 		return new Date((Long)this.getRawData());
 	}
+	
+	@Override
+	public Date asDate(String dateFormat) {
+		return asDate();
+	}
 
 	@Override
 	public byte[] asBytes() {

common/src/main/java/com/alibaba/datax/common/element/DoubleColumn.java

@@ -132,6 +132,12 @@ public class DoubleColumn extends Column {
 		throw DataXException.asDataXException(
 				CommonErrorCode.CONVERT_NOT_SUPPORT, "Double类型无法转为Date类型 .");
 	}
+	
+	@Override
+	public Date asDate(String dateFormat) {
+		throw DataXException.asDataXException(
+				CommonErrorCode.CONVERT_NOT_SUPPORT, "Double类型无法转为Date类型 .");
+	}
 
 	@Override
 	public byte[] asBytes() {

common/src/main/java/com/alibaba/datax/common/element/LongColumn.java

@@ -125,6 +125,11 @@ public class LongColumn extends Column {
 		}
 		return new Date(this.asLong());
 	}
+	
+	@Override
+	public Date asDate(String dateFormat) {
+		return this.asDate();
+	}
 
 	@Override
 	public byte[] asBytes() {

common/src/main/java/com/alibaba/datax/common/element/Record.java

@@ -1,5 +1,7 @@
 package com.alibaba.datax.common.element;
 
+import java.util.Map;
+
 /**
  * Created by jingxing on 14-8-24.
  */
@@ -20,4 +22,8 @@ public interface Record {
 
 	public int getMemorySize();
 
+	public void setMeta(Map<String, String> meta);
+
+	public Map<String, String> getMeta();
+
 }

common/src/main/java/com/alibaba/datax/common/element/StringColumn.java

@@ -149,6 +149,16 @@ public class StringColumn extends Column {
 					String.format("String[\"%s\"]不能转为Date .", this.asString()));
 		}
 	}
+	
+	@Override
+	public Date asDate(String dateFormat) {
+		try {
+			return ColumnCast.string2Date(this, dateFormat);
+		} catch (Exception e) {
+			throw DataXException.asDataXException(CommonErrorCode.CONVERT_NOT_SUPPORT,
+					String.format("String[\"%s\"]不能转为Date .", this.asString()));
+		}
+	}
 
 	@Override
 	public byte[] asBytes() {

common/src/main/java/com/alibaba/datax/common/exception/DataXException.java

@@ -16,6 +16,10 @@ public class DataXException extends RuntimeException {
         this.errorCode = errorCode;
     }
 
+    public DataXException(String errorMessage) {
+        super(errorMessage);
+    }
+
     private DataXException(ErrorCode errorCode, String errorMessage, Throwable cause) {
         super(errorCode.toString() + " - " + getMessage(errorMessage) + " - " + getMessage(cause), cause);
 
@@ -26,6 +30,10 @@ public class DataXException extends RuntimeException {
         return new DataXException(errorCode, message);
     }
 
+    public static DataXException asDataXException(String message) {
+        return new DataXException(message);
+    }
+
     public static DataXException asDataXException(ErrorCode errorCode, String message, Throwable cause) {
         if (cause instanceof DataXException) {
             return (DataXException) cause;

common/src/main/java/com/alibaba/datax/common/plugin/AbstractPlugin.java

@@ -3,6 +3,8 @@ package com.alibaba.datax.common.plugin;
 import com.alibaba.datax.common.base.BaseObject;
 import com.alibaba.datax.common.util.Configuration;
 
+import java.util.List;
+
 public abstract class AbstractPlugin extends BaseObject implements Pluginable {
 	//作业的config
     private Configuration pluginJobConf;
@@ -15,6 +17,8 @@ public abstract class AbstractPlugin extends BaseObject implements Pluginable {
 
     private String peerPluginName;
 
+    private List<Configuration> readerPluginSplitConf;
+
     @Override
 	public String getPluginName() {
 		assert null != this.pluginConf;
@@ -84,4 +88,12 @@ public abstract class AbstractPlugin extends BaseObject implements Pluginable {
     public void postHandler(Configuration jobConfiguration){
 
     }
+
+    public List<Configuration> getReaderPluginSplitConf(){
+        return this.readerPluginSplitConf;
+    }
+
+    public void setReaderPluginSplitConf(List<Configuration> readerPluginSplitConf){
+        this.readerPluginSplitConf = readerPluginSplitConf;
+    }
 }

common/src/main/java/com/alibaba/datax/common/util/ConfigurationUtil.java

@@ -0,0 +1,37 @@
+package com.alibaba.datax.common.util;
+
+import java.util.Arrays;
+import java.util.List;
+import java.util.Set;
+
+import org.apache.commons.lang3.StringUtils;
+
+public class ConfigurationUtil {
+    private static final List<String> SENSITIVE_KEYS = Arrays.asList("password", "accessKey", "securityToken",
+        "AccessKeyId", "AccessKeySecert", "AccessKeySecret", "clientPassword");
+
+    public static Configuration filterSensitive(Configuration origin) {
+        // shell 任务configuration metric 可能为null。
+        if (origin == null) {
+            return origin;
+        }
+        // 确保不影响入参的对象
+        Configuration configuration = origin.clone();
+        Set<String> keys = configuration.getKeys();
+        for (final String key : keys) {
+            boolean isSensitive = false;
+            for (String sensitiveKey : SENSITIVE_KEYS) {
+                if (StringUtils.endsWithIgnoreCase(key, sensitiveKey)) {
+                    isSensitive = true;
+                    break;
+                }
+            }
+
+            if (isSensitive && configuration.get(key) instanceof String) {
+                configuration.set(key, configuration.getString(key).replaceAll(".", "*"));
+            }
+
+        }
+        return configuration;
+    }
+}

common/src/main/java/com/alibaba/datax/common/util/DESCipher.java

@@ -1,5 +1,5 @@
 /**
- *  (C) 2010-2014 Alibaba Group Holding Limited.
+ *  (C) 2010-2022 Alibaba Group Holding Limited.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -14,342 +14,216 @@
  * limitations under the License.
  */
 
-package com.alibaba.datax.plugin.reader.odpsreader.util;
+package com.alibaba.datax.common.util;
 
 import javax.crypto.Cipher;
 import javax.crypto.SecretKey;
 import javax.crypto.SecretKeyFactory;
 import javax.crypto.spec.DESKeySpec;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
 import java.security.SecureRandom;
 
 /**
- * 　　* DES加解密,支持与delphi交互(字符串编码需统一为UTF-8)
- *
- * 　　*
- *
- * 　　* @author wym
- *
- * 　　
+ * DES加解密,支持与delphi交互(字符串编码需统一为UTF-8)
+ * 将这个工具类抽取到 common 中，方便后续代码复用
  */
-
 public class DESCipher {
-
+	private static Logger LOGGER = LoggerFactory.getLogger(DESCipher.class);
 	/**
-	 * 　　* 密钥
-	 *
-	 * 　　
+	 * 密钥
 	 */
-
-	public static final String KEY = "u4Gqu4Z8";
-
+	public static final String KEY = "";
 	private final static String DES = "DES";
 
 	/**
-	 * 　　* 加密
-	 *
-	 * 　　*
-	 *
-	 * 　　* @param src
-	 *
-	 * 　　* 明文(字节)
-	 *
-	 * 　　* @param key
-	 *
-	 * 　　* 密钥，长度必须是8的倍数
-	 *
-	 * 　　* @return 密文(字节)
-	 *
-	 * 　　* @throws Exception
-	 *
-	 * 　　
+	 * 加密
+	 * @param src 明文(字节) 
+	 * @param key 密钥，长度必须是8的倍数
+	 * @return 密文(字节)
+	 * @throws Exception
 	 */
-
 	public static byte[] encrypt(byte[] src, byte[] key) throws Exception {
-
 		// DES算法要求有一个可信任的随机数源
-
 		SecureRandom sr = new SecureRandom();
-
+		
 		// 从原始密匙数据创建DESKeySpec对象
-
 		DESKeySpec dks = new DESKeySpec(key);
-
+		
 		// 创建一个密匙工厂，然后用它把DESKeySpec转换成
-
 		// 一个SecretKey对象
-
 		SecretKeyFactory keyFactory = SecretKeyFactory.getInstance(DES);
-
 		SecretKey securekey = keyFactory.generateSecret(dks);
-
+		
 		// Cipher对象实际完成加密操作
-
 		Cipher cipher = Cipher.getInstance(DES);
 
 		// 用密匙初始化Cipher对象
-
 		cipher.init(Cipher.ENCRYPT_MODE, securekey, sr);
 
 		// 现在，获取数据并加密
-
 		// 正式执行加密操作
-
 		return cipher.doFinal(src);
-
 	}
 
 	/**
-	 * 　　* 解密
-	 *
-	 * 　　*
-	 *
-	 * 　　* @param src
-	 *
-	 * 　　* 密文(字节)
-	 *
-	 * 　　* @param key
-	 *
-	 * 　　* 密钥，长度必须是8的倍数
-	 *
-	 * 　　* @return 明文(字节)
-	 *
-	 * 　　* @throws Exception
-	 *
-	 * 　　
+	 * * 解密
+	 * * @param src
+	 * * 密文(字节)
+	 * * @param key
+	 * * 密钥，长度必须是8的倍数
+	 * * @return 明文(字节)
+	 * * @throws Exception
 	 */
-
 	public static byte[] decrypt(byte[] src, byte[] key) throws Exception {
-
 		// DES算法要求有一个可信任的随机数源
-
 		SecureRandom sr = new SecureRandom();
 
 		// 从原始密匙数据创建一个DESKeySpec对象
-
 		DESKeySpec dks = new DESKeySpec(key);
 
 		// 创建一个密匙工厂，然后用它把DESKeySpec对象转换成
-
 		// 一个SecretKey对象
-
 		SecretKeyFactory keyFactory = SecretKeyFactory.getInstance(DES);
-
 		SecretKey securekey = keyFactory.generateSecret(dks);
 
 		// Cipher对象实际完成解密操作
-
 		Cipher cipher = Cipher.getInstance(DES);
 
 		// 用密匙初始化Cipher对象
-
 		cipher.init(Cipher.DECRYPT_MODE, securekey, sr);
 
 		// 现在，获取数据并解密
-
 		// 正式执行解密操作
-
 		return cipher.doFinal(src);
-
 	}
 
 	/**
-	 * 　　* 加密
-	 *
-	 * 　　*
-	 *
-	 * 　　* @param src
-	 *
-	 * 　　* 明文(字节)
-	 *
-	 * 　　* @return 密文(字节)
-	 *
-	 * 　　* @throws Exception
-	 *
-	 * 　　
+	 * 加密
+	 * @param src * 明文(字节)
+	 * @return 密文(字节)
+	 * @throws Exception
 	 */
-
 	public static byte[] encrypt(byte[] src) throws Exception {
-
 		return encrypt(src, KEY.getBytes());
-
 	}
 
 	/**
-	 * 　　* 解密
-	 *
-	 * 　　*
-	 *
-	 * 　　* @param src
-	 *
-	 * 　　* 密文(字节)
-	 *
-	 * 　　* @return 明文(字节)
-	 *
-	 * 　　* @throws Exception
-	 *
-	 * 　　
+	 * 解密
+	 * @param src 密文(字节)
+	 * @return 明文(字节)
+	 * @throws Exception
 	 */
-
 	public static byte[] decrypt(byte[] src) throws Exception {
-
 		return decrypt(src, KEY.getBytes());
-
 	}
 
 	/**
-	 * 　　* 加密
-	 *
-	 * 　　*
-	 *
-	 * 　　* @param src
-	 *
-	 * 　　* 明文(字符串)
-	 *
-	 * 　　* @return 密文(16进制字符串)
-	 *
-	 * 　　* @throws Exception
-	 *
-	 * 　　
+	 * 加密
+	 * @param src 明文(字符串)
+	 * @return 密文(16进制字符串)
+	 * @throws Exception
 	 */
-
 	public final static String encrypt(String src) {
-
 		try {
-
 			return byte2hex(encrypt(src.getBytes(), KEY.getBytes()));
-
 		} catch (Exception e) {
-
-			e.printStackTrace();
-
+			LOGGER.warn(e.getMessage(), e);
+		}
+		return null;
+	}
+	
+	/**
+	 * 加密
+	 * @param src 明文(字符串)
+	 * @param encryptKey 加密用的秘钥
+	 * @return 密文(16进制字符串)
+	 * @throws Exception
+	 */
+	public final static String encrypt(String src, String encryptKey) {
+		try {
+			return byte2hex(encrypt(src.getBytes(), encryptKey.getBytes()));
+		} catch (Exception e) {
+			LOGGER.warn(e.getMessage(), e);
 		}
-
 		return null;
-
 	}
 
 	/**
-	 * 　　* 解密
-	 *
-	 * 　　*
-	 *
-	 * 　　* @param src
-	 *
-	 * 　　* 密文(字符串)
-	 *
-	 * 　　* @return 明文(字符串)
-	 *
-	 * 　　* @throws Exception
-	 *
-	 * 　　
+	 * 解密
+	 * @param src 密文(字符串)
+	 * @return 明文(字符串)
+	 * @throws Exception
 	 */
-
 	public final static String decrypt(String src) {
 		try {
-
 			return new String(decrypt(hex2byte(src.getBytes()), KEY.getBytes()));
-
 		} catch (Exception e) {
-
-			e.printStackTrace();
-
+			LOGGER.warn(e.getMessage(), e);
+		}
+		return null;
+	}
+	
+	/**
+	 * 解密
+	 * @param src 密文(字符串)
+	 * @param decryptKey 解密用的秘钥
+	 * @return 明文(字符串)
+	 * @throws Exception
+	 */
+	public final static String decrypt(String src, String decryptKey) {
+		try {
+			return new String(decrypt(hex2byte(src.getBytes()), decryptKey.getBytes()));
+		} catch (Exception e) {
+			LOGGER.warn(e.getMessage(), e);
 		}
-
 		return null;
-
 	}
 
 	/**
-	 * 　　* 加密
-	 *
-	 * 　　*
-	 *
-	 * 　　* @param src
-	 *
-	 * 　　* 明文(字节)
-	 *
-	 * 　　* @return 密文(16进制字符串)
-	 *
-	 * 　　* @throws Exception
-	 *
-	 * 　　
+	 * 加密
+	 * @param src
+	 * 明文(字节)
+	 * @return 密文(16进制字符串)
+	 * @throws Exception
 	 */
-
 	public static String encryptToString(byte[] src) throws Exception {
-
 		return encrypt(new String(src));
-
 	}
 
 	/**
-	 * 　　* 解密
-	 *
-	 * 　　*
-	 *
-	 * 　　* @param src
-	 *
-	 * 　　* 密文(字节)
-	 *
-	 * 　　* @return 明文(字符串)
-	 *
-	 * 　　* @throws Exception
-	 *
-	 * 　　
+	 * 解密
+	 * @param src 密文(字节)
+	 * @return 明文(字符串)
+	 * @throws Exception
 	 */
-
 	public static String decryptToString(byte[] src) throws Exception {
-
 		return decrypt(new String(src));
-
 	}
 
 	public static String byte2hex(byte[] b) {
-
 		String hs = "";
-
 		String stmp = "";
-
 		for (int n = 0; n < b.length; n++) {
-
 			stmp = (Integer.toHexString(b[n] & 0XFF));
-
 			if (stmp.length() == 1)
-
 				hs = hs + "0" + stmp;
-
 			else
-
 				hs = hs + stmp;
-
 		}
-
 		return hs.toUpperCase();
-
 	}
 
 	public static byte[] hex2byte(byte[] b) {
-
 		if ((b.length % 2) != 0)
-
-			throw new IllegalArgumentException("长度不是偶数");
-
+			throw new IllegalArgumentException("The length is not an even number");
 		byte[] b2 = new byte[b.length / 2];
-
 		for (int n = 0; n < b.length; n += 2) {
-
 			String item = new String(b, n, 2);
-
 			b2[n / 2] = (byte) Integer.parseInt(item, 16);
-
 		}
 		return b2;
-
 	}
-
-	/*
-	 * public static void main(String[] args) { try { String src = "cheetah";
-	 * String crypto = DESCipher.encrypt(src); System.out.println("密文[" + src +
-	 * "]:" + crypto); System.out.println("解密后:" + DESCipher.decrypt(crypto)); }
-	 * catch (Exception e) { e.printStackTrace(); } }
-	 */
 }

common/src/main/java/com/alibaba/datax/common/util/DataXCaseEnvUtil.java

@@ -0,0 +1,33 @@
+package com.alibaba.datax.common.util;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+
+public class DataXCaseEnvUtil {
+
+    private static final Logger LOGGER = LoggerFactory.getLogger(DataXCaseEnvUtil.class);
+
+    // datax回归测试效率提升
+    private static String DATAX_AUTOTEST_RETRY_TIME = System.getenv("DATAX_AUTOTEST_RETRY_TIME");
+    private static String DATAX_AUTOTEST_RETRY_INTERVAL = System.getenv("DATAX_AUTOTEST_RETRY_INTERVAL");
+    private static String DATAX_AUTOTEST_RETRY_EXPONENTIAL = System.getenv("DATAX_AUTOTEST_RETRY_EXPONENTIAL");
+
+    public static int getRetryTimes(int retryTimes) {
+        int actualRetryTimes = DATAX_AUTOTEST_RETRY_TIME != null ? Integer.valueOf(DATAX_AUTOTEST_RETRY_TIME) : retryTimes;
+       // LOGGER.info("The actualRetryTimes is {}", actualRetryTimes);
+        return actualRetryTimes;
+    }
+
+    public static long getRetryInterval(long retryInterval) {
+        long actualRetryInterval = DATAX_AUTOTEST_RETRY_INTERVAL != null ? Long.valueOf(DATAX_AUTOTEST_RETRY_INTERVAL) : retryInterval;
+       // LOGGER.info("The actualRetryInterval is {}", actualRetryInterval);
+        return actualRetryInterval;
+    }
+
+    public static boolean getRetryExponential(boolean retryExponential) {
+        boolean actualRetryExponential = DATAX_AUTOTEST_RETRY_EXPONENTIAL != null ? Boolean.valueOf(DATAX_AUTOTEST_RETRY_EXPONENTIAL) : retryExponential;
+       // LOGGER.info("The actualRetryExponential is {}", actualRetryExponential);
+        return actualRetryExponential;
+    }
+}

common/src/main/java/com/alibaba/datax/common/util/IdAndKeyRollingUtil.java

@@ -0,0 +1,62 @@
+package com.alibaba.datax.common.util;
+
+import java.util.Map;
+
+import org.apache.commons.lang3.StringUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import com.alibaba.datax.common.exception.DataXException;
+
+public class IdAndKeyRollingUtil {
+	private static Logger LOGGER = LoggerFactory.getLogger(IdAndKeyRollingUtil.class);
+	public static final String SKYNET_ACCESSID = "SKYNET_ACCESSID";
+	public static final String SKYNET_ACCESSKEY = "SKYNET_ACCESSKEY";
+
+	public final static String ACCESS_ID = "accessId";
+	public final static String ACCESS_KEY = "accessKey";
+
+	public static String parseAkFromSkynetAccessKey() {
+		Map<String, String> envProp = System.getenv();
+		String skynetAccessID = envProp.get(IdAndKeyRollingUtil.SKYNET_ACCESSID);
+		String skynetAccessKey = envProp.get(IdAndKeyRollingUtil.SKYNET_ACCESSKEY);
+		String accessKey = null;
+		// follow 原有的判断条件
+		// 环境变量中，如果存在SKYNET_ACCESSID/SKYNET_ACCESSKEy（只要有其中一个变量，则认为一定是两个都存在的！
+		// if (StringUtils.isNotBlank(skynetAccessID) ||
+		// StringUtils.isNotBlank(skynetAccessKey)) {
+		// 检查严格，只有加密串不为空的时候才进去，不过 之前能跑的加密串都不应该为空
+		if (StringUtils.isNotBlank(skynetAccessKey)) {
+			LOGGER.info("Try to get accessId/accessKey from environment SKYNET_ACCESSKEY.");
+			accessKey = DESCipher.decrypt(skynetAccessKey);
+			if (StringUtils.isBlank(accessKey)) {
+				// 环境变量里面有，但是解析不到
+				throw DataXException.asDataXException(String.format(
+						"Failed to get the [accessId]/[accessKey] from the environment variable. The [accessId]=[%s]",
+						skynetAccessID));
+			}
+		}
+		if (StringUtils.isNotBlank(accessKey)) {
+			LOGGER.info("Get accessId/accessKey from environment variables SKYNET_ACCESSKEY successfully.");
+		}
+		return accessKey;
+	}
+
+	public static String getAccessIdAndKeyFromEnv(Configuration originalConfig) {
+		String accessId = null;
+		Map<String, String> envProp = System.getenv();
+		accessId = envProp.get(IdAndKeyRollingUtil.SKYNET_ACCESSID);
+		String accessKey = null;
+		if (StringUtils.isBlank(accessKey)) {
+			// 老的没有出异常，只是获取不到ak
+			accessKey = IdAndKeyRollingUtil.parseAkFromSkynetAccessKey();
+		}
+
+		if (StringUtils.isNotBlank(accessKey)) {
+			// 确认使用这个的都是 accessId、accessKey的命名习惯
+			originalConfig.set(IdAndKeyRollingUtil.ACCESS_ID, accessId);
+			originalConfig.set(IdAndKeyRollingUtil.ACCESS_KEY, accessKey);
+		}
+		return accessKey;
+	}
+}

common/src/main/java/com/alibaba/datax/common/util/ListUtil.java

@@ -6,6 +6,7 @@ import org.apache.commons.lang3.StringUtils;
 
 import java.util.ArrayList;
 import java.util.Collections;
+import java.util.HashSet;
 import java.util.List;
 
 /**
@@ -136,4 +137,25 @@ public final class ListUtil {
 
         return result;
     }
+    
+    public static Boolean checkIfHasSameValue(List<String> listA, List<String> listB) {
+        if (null == listA || listA.isEmpty() || null == listB || listB.isEmpty()) {
+            return false;
+        }
+
+        for (String oneValue : listA) {
+            if (listB.contains(oneValue)) {
+                return true;
+            }
+        }
+
+        return false;
+    }
+    
+    public static boolean checkIfAllSameValue(List<String> listA, List<String> listB) {
+        if (null == listA || listA.isEmpty() || null == listB || listB.isEmpty() || listA.size() != listB.size()) {
+            return false;
+        }
+        return new HashSet<>(listA).containsAll(new HashSet<>(listB));
+    }
 }

common/src/main/java/com/alibaba/datax/common/util/LocalStrings.properties

@@ -0,0 +1,54 @@
+very_like_yixiao=\u4e00{0}\u4e8c{1}\u4e09
+
+
+configuration.1=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef\uff0c\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6[{0}]\u4e0d\u5b58\u5728. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6.
+configuration.2=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6[{0}]\u8bfb\u53d6\u5931\u8d25\uff0c\u9519\u8bef\u539f\u56e0: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6\u7684\u6743\u9650\u8bbe\u7f6e.
+configuration.3=\u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6. \u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u8bfb\u53d6\u5931\u8d25\uff0c\u9519\u8bef\u539f\u56e0: {0}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6\u7684\u6743\u9650\u8bbe\u7f6e.
+configuration.4=\u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6\u6709\u8bef\uff0c[{0}]\u662f\u5fc5\u586b\u53c2\u6570\uff0c\u4e0d\u5141\u8bb8\u4e3a\u7a7a\u6216\u8005\u7559\u767d .
+configuration.5=\u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6\u6709\u8bef\uff0c[{0}]\u662f\u5fc5\u586b\u53c2\u6570\uff0c\u4e0d\u5141\u8bb8\u4e3a\u7a7a\u6216\u8005\u7559\u767d .
+configuration.6=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u56e0\u4e3a\u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5\uff0c\u671f\u671b\u662f\u5b57\u7b26\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.7=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u6709\u8bef\uff0c\u56e0\u4e3a\u4ece[{0}]\u83b7\u53d6\u7684\u503c[{1}]\u65e0\u6cd5\u8f6c\u6362\u4e3abool\u7c7b\u578b. \u8bf7\u68c0\u67e5\u6e90\u8868\u7684\u914d\u7f6e\u5e76\u4e14\u505a\u51fa\u76f8\u5e94\u7684\u4fee\u6539.
+configuration.8=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6574\u6570\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.9=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6574\u6570\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.10=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6d6e\u70b9\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.11=\u914d\u7f6e\u6587\u4ef6\u5bf9\u5e94Key[{0}]\u5e76\u4e0d\u5b58\u5728\uff0c\u8be5\u60c5\u51b5\u662f\u4ee3\u7801\u7f16\u7a0b\u9519\u8bef. \u8bf7\u8054\u7cfbDataX\u56e2\u961f\u7684\u540c\u5b66.
+configuration.12=\u503c[{0}]\u65e0\u6cd5\u9002\u914d\u60a8\u63d0\u4f9b[{1}]\uff0c \u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f!
+configuration.13=Path\u4e0d\u80fd\u4e3anull\uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.14=\u8def\u5f84[{0}]\u51fa\u73b0\u975e\u6cd5\u503c\u7c7b\u578b[{1}]\uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f! .
+configuration.15=\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.16=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u9700\u8981\u914d\u7f6eJson\u683c\u5f0f\u7684Map\u5bf9\u8c61\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{1}]. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.17=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u503c\u4e3anull\uff0cdatax\u65e0\u6cd5\u8bc6\u522b\u8be5\u914d\u7f6e. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.18=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u9700\u8981\u914d\u7f6eJson\u683c\u5f0f\u7684Map\u5bf9\u8c61\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{1}]. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.19=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef\uff0c\u5217\u8868\u4e0b\u6807\u5fc5\u987b\u4e3a\u6570\u5b57\u7c7b\u578b\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{0}] \uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.20=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f!.
+configuration.21=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8def\u5f84[{0}]\u4e0d\u5408\u6cd5, \u8def\u5f84\u5c42\u6b21\u4e4b\u95f4\u4e0d\u80fd\u51fa\u73b0\u7a7a\u767d\u5b57\u7b26 .
+configuration.22=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u56e0\u4e3a\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u4e0d\u662f\u5408\u6cd5\u7684JSON\u683c\u5f0f, JSON\u4e0d\u80fd\u4e3a\u7a7a\u767d. \u8bf7\u6309\u7167\u6807\u51c6json\u683c\u5f0f\u63d0\u4f9b\u914d\u7f6e\u4fe1\u606f.
+configuration.23=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u4e0d\u662f\u5408\u6cd5\u7684JSON\u683c\u5f0f: {0} . \u8bf7\u6309\u7167\u6807\u51c6json\u683c\u5f0f\u63d0\u4f9b\u914d\u7f6e\u4fe1\u606f. 
+
+
+listutil.1=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef\uff0cList\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.2=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.3=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u4fe1\u606f\u6709\u8bef, String:[{0}] \u4e0d\u5141\u8bb8\u91cd\u590d\u51fa\u73b0\u5728\u5217\u8868\u4e2d: [{1}].
+listutil.4=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.5=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.6=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u4fe1\u606f\u6709\u8bef, String:[{0}] \u4e0d\u5b58\u5728\u4e8e\u5217\u8868\u4e2d:[{1}].
+listutil.7=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.8=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+
+
+rangesplitutil.1=\u5207\u5206\u4efd\u6570\u4e0d\u80fd\u5c0f\u4e8e1. \u6b64\u5904:expectSliceNumber=[{0}].
+rangesplitutil.2=\u5bf9 BigInteger \u8fdb\u884c\u5207\u5206\u65f6\uff0c\u5176\u5de6\u53f3\u533a\u95f4\u4e0d\u80fd\u4e3a null. \u6b64\u5904:left=[{0}],right=[{1}].
+rangesplitutil.3=\u53c2\u6570 bigInteger \u4e0d\u80fd\u4e3a\u7a7a.
+rangesplitutil.4=\u6839\u636e\u5b57\u7b26\u4e32\u8fdb\u884c\u5207\u5206\u65f6\u4ec5\u652f\u6301 ASCII \u5b57\u7b26\u4e32\uff0c\u800c\u5b57\u7b26\u4e32:[{0}]\u975e ASCII \u5b57\u7b26\u4e32.
+rangesplitutil.5=\u53c2\u6570 bigInteger \u4e0d\u80fd\u4e3a\u7a7a.
+rangesplitutil.6=\u6839\u636e\u5b57\u7b26\u4e32\u8fdb\u884c\u5207\u5206\u65f6\u4ec5\u652f\u6301 ASCII \u5b57\u7b26\u4e32\uff0c\u800c\u5b57\u7b26\u4e32:[{0}]\u975e ASCII \u5b57\u7b26\u4e32.
+
+
+retryutil.1=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u5165\u53c2callable\u4e0d\u80fd\u4e3a\u7a7a !
+retryutil.2=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u5165\u53c2retrytime[%d]\u4e0d\u80fd\u5c0f\u4e8e1 !
+retryutil.3=Exception when calling callable, \u5f02\u5e38Msg:{0}
+retryutil.4=Exception when calling callable, \u5373\u5c06\u5c1d\u8bd5\u6267\u884c\u7b2c{0}\u6b21\u91cd\u8bd5,\u5171\u8ba1\u91cd\u8bd5{1}\u6b21.\u672c\u6b21\u91cd\u8bd5\u8ba1\u5212\u7b49\u5f85[{2}]ms,\u5b9e\u9645\u7b49\u5f85[{3}]ms, \u5f02\u5e38Msg:[{4}]
+
+
+httpclientutil.1=\u8BF7\u6C42\u5730\u5740\uFF1A{0}, \u8BF7\u6C42\u65B9\u6CD5\uFF1A{1}, STATUS CODE = {2}, Response Entity: {3} 
+httpclientutil.2=\u8FDC\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C06\u91CD\u8BD5

common/src/main/java/com/alibaba/datax/common/util/LocalStrings_en_US.properties

@@ -0,0 +1,53 @@
+very_like_yixiao=1{0}2{1}3
+
+
+configuration.1=Configuration information error. The configuration file [{0}] you provided does not exist. Please check your configuration files. 
+configuration.2=Configuration information error. Failed to read the configuration file [{0}] you provided. Error reason: {1}. Please check the permission settings of your configuration files. 
+configuration.3=Please check your configuration files. Failed to read the configuration file you provided. Error reason: {0}. Please check the permission settings of your configuration files.
+configuration.4=The configuration file you provided contains errors. [{0}] is a required parameter and cannot be empty or blank. 
+configuration.5=The configuration file you provided contains errors. [{0}] is a required parameter and cannot be empty or blank.
+configuration.6=Task reading configuration file error. Invalid configuration file path [{0}] value. The expected value should be of the character type: {1}. Please check your configuration and make corrections.
+configuration.7=The configuration information you provided contains errors. The value [{1}] obtained from [{0}] cannot be converted to the Bool type. Please check the source table configuration and make corrections. 
+configuration.8=Task reading configuration file error. Invalid configuration file path [{0}] value. The expected value should be of the integer type: {1}. Please check your configuration and make corrections.
+configuration.9=Task reading configuration file error. Invalid configuration file path [{0}] value. The expected value should be of the integer type: {1}. Please check your configuration and make corrections.
+configuration.10=Task reading configuration file error. Invalid configuration file path [{0}] value. The expected value should be of the floating-point type: {1}. Please check your configuration and make corrections.
+configuration.11=The Key [{0}] for the configuration file does not exist. This is a code programming error. Please contact the DataX team. 
+configuration.12=The value [{0}] cannot adapt to the [{1}] you provided. This exception represents a system programming error. Please contact the DataX developer team. 
+configuration.13=The path cannot be null. This exception represents a system programming error. Please contact the DataX developer team. 
+configuration.14=The path [{0}] has an invalid value type [{1}]. This exception represents a system programming error. Please contact the DataX developer team. 
+configuration.15=This exception represents a system programming error. Please contact the DataX developer team. 
+configuration.16=The configuration file you provided contains errors. The path [{0}] requires you to configure a Map object in JSON format, but the actual type found on the node is [{1}]. Please check your configuration and make corrections. 
+configuration.17=The configuration file you provided contains errors. The value of the path [{0}] is null and DataX cannot recognize the configuration. Please check your configuration and make corrections. 
+configuration.18=The configuration file you provided contains errors. The path [{0}] requires you to configure a Map object in JSON format, but the actual type found on the node is [{1}]. Please check your configuration and make corrections.
+configuration.19=System programming error. The list subscript must be of the numeric type, but the actual type found on this node is [{0}]. This exception represents a system programming error. Please contact the DataX developer team. 
+configuration.20=System programming error. This exception represents a system programming error. Please contact the DataX developer team. 
+configuration.21=System programming error. Invalid path [{0}]. No spaces are allowed between path layers. 
+configuration.22=Configuration information error. The configuration information you provided is not in a legal JSON format. JSON cannot be blank. Please provide the configuration information in the standard JSON format. 
+configuration.23=Configuration information error. The configuration information you provided is not in a valid JSON format: {0}. Please provide the configuration information in the standard JSON format.  
+
+
+listutil.1=The job configuration you provided contains errors. The list cannot be empty. 
+listutil.2=The job configuration you provided contains errors. The list cannot be empty.
+listutil.3=The job configuration information you provided contains errors. String: [{0}] is not allowed to be repeated in the list: [{1}]. 
+listutil.4=The job configuration you provided contains errors. The list cannot be empty.
+listutil.5=The job configuration you provided contains errors. The list cannot be empty.
+listutil.6=The job configuration information you provided contains errors. String: [{0}] does not exist in the list: [{1}]. 
+listutil.7=The job configuration you provided contains errors. The list cannot be empty.
+listutil.8=The job configuration you provided contains errors. The list cannot be empty.
+
+
+rangesplitutil.1=The slice number cannot be less than 1. Here: [expectSliceNumber]=[{0}].
+rangesplitutil.2=The left or right intervals of BigInteger character strings cannot be null when they are sliced. Here: [left]=[{0}], [right]=[{1}]. 
+rangesplitutil.3=The [bigInteger] parameter cannot be null.
+rangesplitutil.4=Only ASCII character strings are supported for character string slicing, but the [{0}] character string is not of the ASCII type. 
+rangesplitutil.5=The [bigInteger] parameter cannot be null.
+rangesplitutil.6=Only ASCII character strings are supported for character string slicing, but the [{0}] character string is not of the ASCII type.
+
+
+retryutil.1=System programming error. The “callable” input parameter cannot be null. 
+retryutil.2=System programming error. The “retrytime[%d]” input parameter cannot be less than 1. 
+retryutil.3=Exception when calling callable. Exception Msg: {0}
+retryutil.4=Exception when calling callable. Retry Attempt: {0} will start soon. {1} attempts in total. This attempt planned to wait for [{2}]ms, and actually waited for [{3}]ms. Exception Msg: [{4}].
+
+httpclientutil.1=Request address: {0}. Request method: {1}. STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=The remote interface returns -1. We will try again

common/src/main/java/com/alibaba/datax/common/util/LocalStrings_ja_JP.properties

@@ -0,0 +1,53 @@
+very_like_yixiao=1{0}2{1}3
+
+
+configuration.1=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef\uff0c\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6[{0}]\u4e0d\u5b58\u5728. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6.
+configuration.2=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6[{0}]\u8bfb\u53d6\u5931\u8d25\uff0c\u9519\u8bef\u539f\u56e0: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6\u7684\u6743\u9650\u8bbe\u7f6e.
+configuration.3=\u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6. \u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u8bfb\u53d6\u5931\u8d25\uff0c\u9519\u8bef\u539f\u56e0: {0}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6\u7684\u6743\u9650\u8bbe\u7f6e.
+configuration.4=\u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6\u6709\u8bef\uff0c[{0}]\u662f\u5fc5\u586b\u53c2\u6570\uff0c\u4e0d\u5141\u8bb8\u4e3a\u7a7a\u6216\u8005\u7559\u767d .
+configuration.5=\u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6\u6709\u8bef\uff0c[{0}]\u662f\u5fc5\u586b\u53c2\u6570\uff0c\u4e0d\u5141\u8bb8\u4e3a\u7a7a\u6216\u8005\u7559\u767d .
+configuration.6=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u56e0\u4e3a\u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5\uff0c\u671f\u671b\u662f\u5b57\u7b26\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.7=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u6709\u8bef\uff0c\u56e0\u4e3a\u4ece[{0}]\u83b7\u53d6\u7684\u503c[{1}]\u65e0\u6cd5\u8f6c\u6362\u4e3abool\u7c7b\u578b. \u8bf7\u68c0\u67e5\u6e90\u8868\u7684\u914d\u7f6e\u5e76\u4e14\u505a\u51fa\u76f8\u5e94\u7684\u4fee\u6539.
+configuration.8=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6574\u6570\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.9=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6574\u6570\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.10=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6d6e\u70b9\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.11=\u914d\u7f6e\u6587\u4ef6\u5bf9\u5e94Key[{0}]\u5e76\u4e0d\u5b58\u5728\uff0c\u8be5\u60c5\u51b5\u662f\u4ee3\u7801\u7f16\u7a0b\u9519\u8bef. \u8bf7\u8054\u7cfbDataX\u56e2\u961f\u7684\u540c\u5b66.
+configuration.12=\u503c[{0}]\u65e0\u6cd5\u9002\u914d\u60a8\u63d0\u4f9b[{1}]\uff0c \u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f!
+configuration.13=Path\u4e0d\u80fd\u4e3anull\uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.14=\u8def\u5f84[{0}]\u51fa\u73b0\u975e\u6cd5\u503c\u7c7b\u578b[{1}]\uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f! .
+configuration.15=\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.16=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u9700\u8981\u914d\u7f6eJson\u683c\u5f0f\u7684Map\u5bf9\u8c61\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{1}]. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.17=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u503c\u4e3anull\uff0cdatax\u65e0\u6cd5\u8bc6\u522b\u8be5\u914d\u7f6e. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.18=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u9700\u8981\u914d\u7f6eJson\u683c\u5f0f\u7684Map\u5bf9\u8c61\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{1}]. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.19=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef\uff0c\u5217\u8868\u4e0b\u6807\u5fc5\u987b\u4e3a\u6570\u5b57\u7c7b\u578b\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{0}] \uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.20=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f!.
+configuration.21=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8def\u5f84[{0}]\u4e0d\u5408\u6cd5, \u8def\u5f84\u5c42\u6b21\u4e4b\u95f4\u4e0d\u80fd\u51fa\u73b0\u7a7a\u767d\u5b57\u7b26 .
+configuration.22=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u56e0\u4e3a\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u4e0d\u662f\u5408\u6cd5\u7684JSON\u683c\u5f0f, JSON\u4e0d\u80fd\u4e3a\u7a7a\u767d. \u8bf7\u6309\u7167\u6807\u51c6json\u683c\u5f0f\u63d0\u4f9b\u914d\u7f6e\u4fe1\u606f.
+configuration.23=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u4e0d\u662f\u5408\u6cd5\u7684JSON\u683c\u5f0f: {0} . \u8bf7\u6309\u7167\u6807\u51c6json\u683c\u5f0f\u63d0\u4f9b\u914d\u7f6e\u4fe1\u606f. 
+
+
+listutil.1=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef\uff0cList\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.2=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.3=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u4fe1\u606f\u6709\u8bef, String:[{0}] \u4e0d\u5141\u8bb8\u91cd\u590d\u51fa\u73b0\u5728\u5217\u8868\u4e2d: [{1}].
+listutil.4=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.5=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.6=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u4fe1\u606f\u6709\u8bef, String:[{0}] \u4e0d\u5b58\u5728\u4e8e\u5217\u8868\u4e2d:[{1}].
+listutil.7=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.8=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+
+
+rangesplitutil.1=\u5207\u5206\u4efd\u6570\u4e0d\u80fd\u5c0f\u4e8e1. \u6b64\u5904:expectSliceNumber=[{0}].
+rangesplitutil.2=\u5bf9 BigInteger \u8fdb\u884c\u5207\u5206\u65f6\uff0c\u5176\u5de6\u53f3\u533a\u95f4\u4e0d\u80fd\u4e3a null. \u6b64\u5904:left=[{0}],right=[{1}].
+rangesplitutil.3=\u53c2\u6570 bigInteger \u4e0d\u80fd\u4e3a\u7a7a.
+rangesplitutil.4=\u6839\u636e\u5b57\u7b26\u4e32\u8fdb\u884c\u5207\u5206\u65f6\u4ec5\u652f\u6301 ASCII \u5b57\u7b26\u4e32\uff0c\u800c\u5b57\u7b26\u4e32:[{0}]\u975e ASCII \u5b57\u7b26\u4e32.
+rangesplitutil.5=\u53c2\u6570 bigInteger \u4e0d\u80fd\u4e3a\u7a7a.
+rangesplitutil.6=\u6839\u636e\u5b57\u7b26\u4e32\u8fdb\u884c\u5207\u5206\u65f6\u4ec5\u652f\u6301 ASCII \u5b57\u7b26\u4e32\uff0c\u800c\u5b57\u7b26\u4e32:[{0}]\u975e ASCII \u5b57\u7b26\u4e32.
+
+
+retryutil.1=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u5165\u53c2callable\u4e0d\u80fd\u4e3a\u7a7a !
+retryutil.2=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u5165\u53c2retrytime[%d]\u4e0d\u80fd\u5c0f\u4e8e1 !
+retryutil.3=Exception when calling callable, \u5f02\u5e38Msg:{0}
+retryutil.4=Exception when calling callable, \u5373\u5c06\u5c1d\u8bd5\u6267\u884c\u7b2c{0}\u6b21\u91cd\u8bd5,\u5171\u8ba1\u91cd\u8bd5{1}\u6b21.\u672c\u6b21\u91cd\u8bd5\u8ba1\u5212\u7b49\u5f85[{2}]ms,\u5b9e\u9645\u7b49\u5f85[{3}]ms, \u5f02\u5e38Msg:[{4}]
+
+httpclientutil.1=\u8BF7\u6C42\u5730\u5740\uFF1A{0}, \u8BF7\u6C42\u65B9\u6CD5\uFF1A{1},STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=\u8FDC\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C06\u91CD\u8BD5

common/src/main/java/com/alibaba/datax/common/util/LocalStrings_zh_CN.properties

@@ -0,0 +1,54 @@
+very_like_yixiao=\u4e00{0}\u4e8c{1}\u4e09
+
+
+configuration.1=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef\uff0c\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6[{0}]\u4e0d\u5b58\u5728. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6.
+configuration.2=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6[{0}]\u8bfb\u53d6\u5931\u8d25\uff0c\u9519\u8bef\u539f\u56e0: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6\u7684\u6743\u9650\u8bbe\u7f6e.
+configuration.3=\u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6. \u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u8bfb\u53d6\u5931\u8d25\uff0c\u9519\u8bef\u539f\u56e0: {0}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6\u7684\u6743\u9650\u8bbe\u7f6e.
+configuration.4=\u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6\u6709\u8bef\uff0c[{0}]\u662f\u5fc5\u586b\u53c2\u6570\uff0c\u4e0d\u5141\u8bb8\u4e3a\u7a7a\u6216\u8005\u7559\u767d .
+configuration.5=\u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6\u6709\u8bef\uff0c[{0}]\u662f\u5fc5\u586b\u53c2\u6570\uff0c\u4e0d\u5141\u8bb8\u4e3a\u7a7a\u6216\u8005\u7559\u767d .
+configuration.6=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u56e0\u4e3a\u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5\uff0c\u671f\u671b\u662f\u5b57\u7b26\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.7=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u6709\u8bef\uff0c\u56e0\u4e3a\u4ece[{0}]\u83b7\u53d6\u7684\u503c[{1}]\u65e0\u6cd5\u8f6c\u6362\u4e3abool\u7c7b\u578b. \u8bf7\u68c0\u67e5\u6e90\u8868\u7684\u914d\u7f6e\u5e76\u4e14\u505a\u51fa\u76f8\u5e94\u7684\u4fee\u6539.
+configuration.8=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6574\u6570\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.9=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6574\u6570\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.10=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6d6e\u70b9\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.11=\u914d\u7f6e\u6587\u4ef6\u5bf9\u5e94Key[{0}]\u5e76\u4e0d\u5b58\u5728\uff0c\u8be5\u60c5\u51b5\u662f\u4ee3\u7801\u7f16\u7a0b\u9519\u8bef. \u8bf7\u8054\u7cfbDataX\u56e2\u961f\u7684\u540c\u5b66.
+configuration.12=\u503c[{0}]\u65e0\u6cd5\u9002\u914d\u60a8\u63d0\u4f9b[{1}]\uff0c \u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f!
+configuration.13=Path\u4e0d\u80fd\u4e3anull\uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.14=\u8def\u5f84[{0}]\u51fa\u73b0\u975e\u6cd5\u503c\u7c7b\u578b[{1}]\uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f! .
+configuration.15=\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.16=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u9700\u8981\u914d\u7f6eJson\u683c\u5f0f\u7684Map\u5bf9\u8c61\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{1}]. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.17=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u503c\u4e3anull\uff0cdatax\u65e0\u6cd5\u8bc6\u522b\u8be5\u914d\u7f6e. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.18=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u9700\u8981\u914d\u7f6eJson\u683c\u5f0f\u7684Map\u5bf9\u8c61\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{1}]. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.19=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef\uff0c\u5217\u8868\u4e0b\u6807\u5fc5\u987b\u4e3a\u6570\u5b57\u7c7b\u578b\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{0}] \uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.20=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f!.
+configuration.21=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8def\u5f84[{0}]\u4e0d\u5408\u6cd5, \u8def\u5f84\u5c42\u6b21\u4e4b\u95f4\u4e0d\u80fd\u51fa\u73b0\u7a7a\u767d\u5b57\u7b26 .
+configuration.22=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u56e0\u4e3a\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u4e0d\u662f\u5408\u6cd5\u7684JSON\u683c\u5f0f, JSON\u4e0d\u80fd\u4e3a\u7a7a\u767d. \u8bf7\u6309\u7167\u6807\u51c6json\u683c\u5f0f\u63d0\u4f9b\u914d\u7f6e\u4fe1\u606f.
+configuration.23=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u4e0d\u662f\u5408\u6cd5\u7684JSON\u683c\u5f0f: {0} . \u8bf7\u6309\u7167\u6807\u51c6json\u683c\u5f0f\u63d0\u4f9b\u914d\u7f6e\u4fe1\u606f. 
+
+
+listutil.1=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef\uff0cList\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.2=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.3=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u4fe1\u606f\u6709\u8bef, String:[{0}] \u4e0d\u5141\u8bb8\u91cd\u590d\u51fa\u73b0\u5728\u5217\u8868\u4e2d: [{1}].
+listutil.4=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.5=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.6=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u4fe1\u606f\u6709\u8bef, String:[{0}] \u4e0d\u5b58\u5728\u4e8e\u5217\u8868\u4e2d:[{1}].
+listutil.7=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.8=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+
+
+rangesplitutil.1=\u5207\u5206\u4efd\u6570\u4e0d\u80fd\u5c0f\u4e8e1. \u6b64\u5904:expectSliceNumber=[{0}].
+rangesplitutil.2=\u5bf9 BigInteger \u8fdb\u884c\u5207\u5206\u65f6\uff0c\u5176\u5de6\u53f3\u533a\u95f4\u4e0d\u80fd\u4e3a null. \u6b64\u5904:left=[{0}],right=[{1}].
+rangesplitutil.3=\u53c2\u6570 bigInteger \u4e0d\u80fd\u4e3a\u7a7a.
+rangesplitutil.4=\u6839\u636e\u5b57\u7b26\u4e32\u8fdb\u884c\u5207\u5206\u65f6\u4ec5\u652f\u6301 ASCII \u5b57\u7b26\u4e32\uff0c\u800c\u5b57\u7b26\u4e32:[{0}]\u975e ASCII \u5b57\u7b26\u4e32.
+rangesplitutil.5=\u53c2\u6570 bigInteger \u4e0d\u80fd\u4e3a\u7a7a.
+rangesplitutil.6=\u6839\u636e\u5b57\u7b26\u4e32\u8fdb\u884c\u5207\u5206\u65f6\u4ec5\u652f\u6301 ASCII \u5b57\u7b26\u4e32\uff0c\u800c\u5b57\u7b26\u4e32:[{0}]\u975e ASCII \u5b57\u7b26\u4e32.
+
+
+retryutil.1=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u5165\u53c2callable\u4e0d\u80fd\u4e3a\u7a7a !
+retryutil.2=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u5165\u53c2retrytime[%d]\u4e0d\u80fd\u5c0f\u4e8e1 !
+retryutil.3=Exception when calling callable, \u5f02\u5e38Msg:{0}
+retryutil.4=Exception when calling callable, \u5373\u5c06\u5c1d\u8bd5\u6267\u884c\u7b2c{0}\u6b21\u91cd\u8bd5,\u5171\u8ba1\u91cd\u8bd5{1}\u6b21.\u672c\u6b21\u91cd\u8bd5\u8ba1\u5212\u7b49\u5f85[{2}]ms,\u5b9e\u9645\u7b49\u5f85[{3}]ms, \u5f02\u5e38Msg:[{4}]
+
+
+httpclientutil.1=\u8BF7\u6C42\u5730\u5740\uFF1A{0}, \u8BF7\u6C42\u65B9\u6CD5\uFF1A{1},STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=\u8FDC\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C06\u91CD\u8BD5

common/src/main/java/com/alibaba/datax/common/util/LocalStrings_zh_HK.properties

@@ -0,0 +1,104 @@
+very_like_yixiao=\u4e00{0}\u4e8c{1}\u4e09
+
+
+configuration.1=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef\uff0c\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6[{0}]\u4e0d\u5b58\u5728. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6.
+configuration.2=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6[{0}]\u8bfb\u53d6\u5931\u8d25\uff0c\u9519\u8bef\u539f\u56e0: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6\u7684\u6743\u9650\u8bbe\u7f6e.
+configuration.3=\u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6. \u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u8bfb\u53d6\u5931\u8d25\uff0c\u9519\u8bef\u539f\u56e0: {0}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6\u7684\u6743\u9650\u8bbe\u7f6e.
+configuration.4=\u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6\u6709\u8bef\uff0c[{0}]\u662f\u5fc5\u586b\u53c2\u6570\uff0c\u4e0d\u5141\u8bb8\u4e3a\u7a7a\u6216\u8005\u7559\u767d .
+configuration.5=\u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6\u6709\u8bef\uff0c[{0}]\u662f\u5fc5\u586b\u53c2\u6570\uff0c\u4e0d\u5141\u8bb8\u4e3a\u7a7a\u6216\u8005\u7559\u767d .
+configuration.6=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u56e0\u4e3a\u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5\uff0c\u671f\u671b\u662f\u5b57\u7b26\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.7=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u6709\u8bef\uff0c\u56e0\u4e3a\u4ece[{0}]\u83b7\u53d6\u7684\u503c[{1}]\u65e0\u6cd5\u8f6c\u6362\u4e3abool\u7c7b\u578b. \u8bf7\u68c0\u67e5\u6e90\u8868\u7684\u914d\u7f6e\u5e76\u4e14\u505a\u51fa\u76f8\u5e94\u7684\u4fee\u6539.
+configuration.8=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6574\u6570\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.9=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6574\u6570\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.10=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6d6e\u70b9\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.11=\u914d\u7f6e\u6587\u4ef6\u5bf9\u5e94Key[{0}]\u5e76\u4e0d\u5b58\u5728\uff0c\u8be5\u60c5\u51b5\u662f\u4ee3\u7801\u7f16\u7a0b\u9519\u8bef. \u8bf7\u8054\u7cfbDataX\u56e2\u961f\u7684\u540c\u5b66.
+configuration.12=\u503c[{0}]\u65e0\u6cd5\u9002\u914d\u60a8\u63d0\u4f9b[{1}]\uff0c \u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f!
+configuration.13=Path\u4e0d\u80fd\u4e3anull\uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.14=\u8def\u5f84[{0}]\u51fa\u73b0\u975e\u6cd5\u503c\u7c7b\u578b[{1}]\uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f! .
+configuration.15=\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.16=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u9700\u8981\u914d\u7f6eJson\u683c\u5f0f\u7684Map\u5bf9\u8c61\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{1}]. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.17=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u503c\u4e3anull\uff0cdatax\u65e0\u6cd5\u8bc6\u522b\u8be5\u914d\u7f6e. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.18=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u9700\u8981\u914d\u7f6eJson\u683c\u5f0f\u7684Map\u5bf9\u8c61\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{1}]. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.19=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef\uff0c\u5217\u8868\u4e0b\u6807\u5fc5\u987b\u4e3a\u6570\u5b57\u7c7b\u578b\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{0}] \uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.20=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f!.
+configuration.21=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8def\u5f84[{0}]\u4e0d\u5408\u6cd5, \u8def\u5f84\u5c42\u6b21\u4e4b\u95f4\u4e0d\u80fd\u51fa\u73b0\u7a7a\u767d\u5b57\u7b26 .
+configuration.22=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u56e0\u4e3a\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u4e0d\u662f\u5408\u6cd5\u7684JSON\u683c\u5f0f, JSON\u4e0d\u80fd\u4e3a\u7a7a\u767d. \u8bf7\u6309\u7167\u6807\u51c6json\u683c\u5f0f\u63d0\u4f9b\u914d\u7f6e\u4fe1\u606f.
+configuration.23=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u4e0d\u662f\u5408\u6cd5\u7684JSON\u683c\u5f0f: {0} . \u8bf7\u6309\u7167\u6807\u51c6json\u683c\u5f0f\u63d0\u4f9b\u914d\u7f6e\u4fe1\u606f. 
+
+
+listutil.1=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef\uff0cList\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.2=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.3=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u4fe1\u606f\u6709\u8bef, String:[{0}] \u4e0d\u5141\u8bb8\u91cd\u590d\u51fa\u73b0\u5728\u5217\u8868\u4e2d: [{1}].
+listutil.4=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.5=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.6=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u4fe1\u606f\u6709\u8bef, String:[{0}] \u4e0d\u5b58\u5728\u4e8e\u5217\u8868\u4e2d:[{1}].
+listutil.7=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.8=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+
+
+rangesplitutil.1=\u5207\u5206\u4efd\u6570\u4e0d\u80fd\u5c0f\u4e8e1. \u6b64\u5904:expectSliceNumber=[{0}].
+rangesplitutil.2=\u5bf9 BigInteger \u8fdb\u884c\u5207\u5206\u65f6\uff0c\u5176\u5de6\u53f3\u533a\u95f4\u4e0d\u80fd\u4e3a null. \u6b64\u5904:left=[{0}],right=[{1}].
+rangesplitutil.3=\u53c2\u6570 bigInteger \u4e0d\u80fd\u4e3a\u7a7a.
+rangesplitutil.4=\u6839\u636e\u5b57\u7b26\u4e32\u8fdb\u884c\u5207\u5206\u65f6\u4ec5\u652f\u6301 ASCII \u5b57\u7b26\u4e32\uff0c\u800c\u5b57\u7b26\u4e32:[{0}]\u975e ASCII \u5b57\u7b26\u4e32.
+rangesplitutil.5=\u53c2\u6570 bigInteger \u4e0d\u80fd\u4e3a\u7a7a.
+rangesplitutil.6=\u6839\u636e\u5b57\u7b26\u4e32\u8fdb\u884c\u5207\u5206\u65f6\u4ec5\u652f\u6301 ASCII \u5b57\u7b26\u4e32\uff0c\u800c\u5b57\u7b26\u4e32:[{0}]\u975e ASCII \u5b57\u7b26\u4e32.
+
+
+retryutil.1=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u5165\u53c2callable\u4e0d\u80fd\u4e3a\u7a7a !
+retryutil.2=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u5165\u53c2retrytime[%d]\u4e0d\u80fd\u5c0f\u4e8e1 !
+retryutil.3=Exception when calling callable, \u5f02\u5e38Msg:{0}
+retryutil.4=Exception when calling callable, \u5373\u5c06\u5c1d\u8bd5\u6267\u884c\u7b2c{0}\u6b21\u91cd\u8bd5,\u5171\u8ba1\u91cd\u8bd5{1}\u6b21.\u672c\u6b21\u91cd\u8bd5\u8ba1\u5212\u7b49\u5f85[{2}]ms,\u5b9e\u9645\u7b49\u5f85[{3}]ms, \u5f02\u5e38Msg:[{4}]
+
+very_like_yixiao=一{0}二{1}三
+
+
+configuration.1=配置資訊錯誤，您提供的配置檔案[{0}]不存在. 請檢查您的配置檔案.
+configuration.2=配置資訊錯誤. 您提供配置檔案[{0}]讀取失敗，錯誤原因: {1}. 請檢查您的配置檔案的權限設定.
+configuration.3=請檢查您的配置檔案. 您提供的配置檔案讀取失敗，錯誤原因: {0}. 請檢查您的配置檔案的權限設定.
+configuration.4=您提供配置檔案有誤，[{0}]是必填參數，不允許為空或者留白 .
+configuration.5=您提供配置檔案有誤，[{0}]是必填參數，不允許為空或者留白 .
+configuration.6=任務讀取配置檔案出錯. 因為配置檔案路徑[{0}] 值不合法，期望是字符類型: {1}. 請檢查您的配置並作出修改.
+configuration.7=您提供的配置資訊有誤，因為從[{0}]獲取的值[{1}]無法轉換為bool類型. 請檢查源表的配置並且做出相應的修改.
+configuration.8=任務讀取配置檔案出錯. 配置檔案路徑[{0}] 值不合法, 期望是整數類型: {1}. 請檢查您的配置並作出修改.
+configuration.9=任務讀取配置檔案出錯. 配置檔案路徑[{0}] 值不合法, 期望是整數類型: {1}. 請檢查您的配置並作出修改.
+configuration.10=任務讀取配置檔案出錯. 配置檔案路徑[{0}] 值不合法, 期望是浮點類型: {1}. 請檢查您的配置並作出修改.
+configuration.11=配置檔案對應Key[{0}]並不存在，該情況是代碼編程錯誤. 請聯絡DataX團隊的同學.
+configuration.12=值[{0}]無法適配您提供[{1}]， 該異常代表系統編程錯誤, 請聯絡DataX開發團隊!
+configuration.13=Path不能為null，該異常代表系統編程錯誤, 請聯絡DataX開發團隊 !
+configuration.14=路徑[{0}]出現不合法值類型[{1}]，該異常代表系統編程錯誤, 請聯絡DataX開發團隊! .
+configuration.15=該異常代表系統編程錯誤, 請聯絡DataX開發團隊 !
+configuration.16=您提供的配置檔案有誤. 路徑[{0}]需要配置Json格式的Map對象，但該節點發現實際類型是[{1}]. 請檢查您的配置並作出修改.
+configuration.17=您提供的配置檔案有誤. 路徑[{0}]值為null，datax無法識別該配置. 請檢查您的配置並作出修改.
+configuration.18=您提供的配置檔案有誤. 路徑[{0}]需要配置Json格式的Map對象，但該節點發現實際類型是[{1}]. 請檢查您的配置並作出修改.
+configuration.19=系統編程錯誤，清單下標必須為數字類型，但該節點發現實際類型是[{0}] ，該異常代表系統編程錯誤, 請聯絡DataX開發團隊 !
+configuration.20=系統編程錯誤, 該異常代表系統編程錯誤, 請聯絡DataX開發團隊!.
+configuration.21=系統編程錯誤, 路徑[{0}]不合法, 路徑層次之間不能出現空白字符 .
+configuration.22=配置資訊錯誤. 因為您提供的配置資訊不是合法的JSON格式, JSON不能為空白. 請按照標準json格式提供配置資訊.
+configuration.23=配置資訊錯誤. 您提供的配置資訊不是合法的JSON格式: {0}. 請按照標準json格式提供配置資訊. 
+
+
+listutil.1=您提供的作業配置有誤，List不能為空.
+listutil.2=您提供的作業配置有誤, List不能為空.
+listutil.3=您提供的作業配置資訊有誤, String:[{0}]不允許重複出現在清單中: [{1}].
+listutil.4=您提供的作業配置有誤, List不能為空.
+listutil.5=您提供的作業配置有誤, List不能為空.
+listutil.6=您提供的作業配置資訊有誤, String:[{0}]不存在於清單中:[{1}].
+listutil.7=您提供的作業配置有誤, List不能為空.
+listutil.8=您提供的作業配置有誤, List不能為空.
+
+
+rangesplitutil.1=切分份數不能小於1. 此處:expectSliceNumber=[{0}].
+rangesplitutil.2=對 BigInteger 進行切分時，其左右區間不能為 null. 此處:left=[{0}],right=[{1}].
+rangesplitutil.3=參數 bigInteger 不能為空.
+rangesplitutil.4=根據字符串進行切分時僅支援 ASCII 字符串，而字符串:[{0}]非 ASCII 字符串.
+rangesplitutil.5=參數 bigInteger 不能為空.
+rangesplitutil.6=根據字符串進行切分時僅支援 ASCII 字符串，而字符串:[{0}]非 ASCII 字符串.
+
+
+retryutil.1=系統編程錯誤, 入參callable不能為空 !
+retryutil.2=系統編程錯誤, 入參retrytime[%d]不能小於1 !
+retryutil.3=Exception when calling callable, 異常Msg:{0}
+retryutil.4=Exception when calling callable, 即將嘗試執行第{0}次重試,共計重試{1}次.本次重試計劃等待[{2}]ms,實際等待[{3}]ms, 異常Msg:[{4}]
+
+httpclientutil.1=\u8ACB\u6C42\u5730\u5740\uFF1A{0}, \u8ACB\u6C42\u65B9\u6CD5\uFF1A{1},STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=\u9060\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C07\u91CD\u8A66

common/src/main/java/com/alibaba/datax/common/util/LocalStrings_zh_TW.properties

@@ -0,0 +1,104 @@
+very_like_yixiao=\u4e00{0}\u4e8c{1}\u4e09
+
+
+configuration.1=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef\uff0c\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6[{0}]\u4e0d\u5b58\u5728. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6.
+configuration.2=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6[{0}]\u8bfb\u53d6\u5931\u8d25\uff0c\u9519\u8bef\u539f\u56e0: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6\u7684\u6743\u9650\u8bbe\u7f6e.
+configuration.3=\u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6. \u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u8bfb\u53d6\u5931\u8d25\uff0c\u9519\u8bef\u539f\u56e0: {0}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u6587\u4ef6\u7684\u6743\u9650\u8bbe\u7f6e.
+configuration.4=\u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6\u6709\u8bef\uff0c[{0}]\u662f\u5fc5\u586b\u53c2\u6570\uff0c\u4e0d\u5141\u8bb8\u4e3a\u7a7a\u6216\u8005\u7559\u767d .
+configuration.5=\u60a8\u63d0\u4f9b\u914d\u7f6e\u6587\u4ef6\u6709\u8bef\uff0c[{0}]\u662f\u5fc5\u586b\u53c2\u6570\uff0c\u4e0d\u5141\u8bb8\u4e3a\u7a7a\u6216\u8005\u7559\u767d .
+configuration.6=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u56e0\u4e3a\u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5\uff0c\u671f\u671b\u662f\u5b57\u7b26\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.7=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u6709\u8bef\uff0c\u56e0\u4e3a\u4ece[{0}]\u83b7\u53d6\u7684\u503c[{1}]\u65e0\u6cd5\u8f6c\u6362\u4e3abool\u7c7b\u578b. \u8bf7\u68c0\u67e5\u6e90\u8868\u7684\u914d\u7f6e\u5e76\u4e14\u505a\u51fa\u76f8\u5e94\u7684\u4fee\u6539.
+configuration.8=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6574\u6570\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.9=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6574\u6570\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.10=\u4efb\u52a1\u8bfb\u53d6\u914d\u7f6e\u6587\u4ef6\u51fa\u9519. \u914d\u7f6e\u6587\u4ef6\u8def\u5f84[{0}] \u503c\u975e\u6cd5, \u671f\u671b\u662f\u6d6e\u70b9\u7c7b\u578b: {1}. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.11=\u914d\u7f6e\u6587\u4ef6\u5bf9\u5e94Key[{0}]\u5e76\u4e0d\u5b58\u5728\uff0c\u8be5\u60c5\u51b5\u662f\u4ee3\u7801\u7f16\u7a0b\u9519\u8bef. \u8bf7\u8054\u7cfbDataX\u56e2\u961f\u7684\u540c\u5b66.
+configuration.12=\u503c[{0}]\u65e0\u6cd5\u9002\u914d\u60a8\u63d0\u4f9b[{1}]\uff0c \u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f!
+configuration.13=Path\u4e0d\u80fd\u4e3anull\uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.14=\u8def\u5f84[{0}]\u51fa\u73b0\u975e\u6cd5\u503c\u7c7b\u578b[{1}]\uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f! .
+configuration.15=\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.16=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u9700\u8981\u914d\u7f6eJson\u683c\u5f0f\u7684Map\u5bf9\u8c61\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{1}]. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.17=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u503c\u4e3anull\uff0cdatax\u65e0\u6cd5\u8bc6\u522b\u8be5\u914d\u7f6e. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.18=\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u6587\u4ef6\u6709\u8bef. \u8def\u5f84[{0}]\u9700\u8981\u914d\u7f6eJson\u683c\u5f0f\u7684Map\u5bf9\u8c61\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{1}]. \u8bf7\u68c0\u67e5\u60a8\u7684\u914d\u7f6e\u5e76\u4f5c\u51fa\u4fee\u6539.
+configuration.19=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef\uff0c\u5217\u8868\u4e0b\u6807\u5fc5\u987b\u4e3a\u6570\u5b57\u7c7b\u578b\uff0c\u4f46\u8be5\u8282\u70b9\u53d1\u73b0\u5b9e\u9645\u7c7b\u578b\u662f[{0}] \uff0c\u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f !
+configuration.20=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8be5\u5f02\u5e38\u4ee3\u8868\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8bf7\u8054\u7cfbDataX\u5f00\u53d1\u56e2\u961f!.
+configuration.21=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u8def\u5f84[{0}]\u4e0d\u5408\u6cd5, \u8def\u5f84\u5c42\u6b21\u4e4b\u95f4\u4e0d\u80fd\u51fa\u73b0\u7a7a\u767d\u5b57\u7b26 .
+configuration.22=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u56e0\u4e3a\u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u4e0d\u662f\u5408\u6cd5\u7684JSON\u683c\u5f0f, JSON\u4e0d\u80fd\u4e3a\u7a7a\u767d. \u8bf7\u6309\u7167\u6807\u51c6json\u683c\u5f0f\u63d0\u4f9b\u914d\u7f6e\u4fe1\u606f.
+configuration.23=\u914d\u7f6e\u4fe1\u606f\u9519\u8bef. \u60a8\u63d0\u4f9b\u7684\u914d\u7f6e\u4fe1\u606f\u4e0d\u662f\u5408\u6cd5\u7684JSON\u683c\u5f0f: {0} . \u8bf7\u6309\u7167\u6807\u51c6json\u683c\u5f0f\u63d0\u4f9b\u914d\u7f6e\u4fe1\u606f. 
+
+
+listutil.1=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef\uff0cList\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.2=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.3=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u4fe1\u606f\u6709\u8bef, String:[{0}] \u4e0d\u5141\u8bb8\u91cd\u590d\u51fa\u73b0\u5728\u5217\u8868\u4e2d: [{1}].
+listutil.4=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.5=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.6=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u4fe1\u606f\u6709\u8bef, String:[{0}] \u4e0d\u5b58\u5728\u4e8e\u5217\u8868\u4e2d:[{1}].
+listutil.7=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+listutil.8=\u60a8\u63d0\u4f9b\u7684\u4f5c\u4e1a\u914d\u7f6e\u6709\u8bef, List\u4e0d\u80fd\u4e3a\u7a7a.
+
+
+rangesplitutil.1=\u5207\u5206\u4efd\u6570\u4e0d\u80fd\u5c0f\u4e8e1. \u6b64\u5904:expectSliceNumber=[{0}].
+rangesplitutil.2=\u5bf9 BigInteger \u8fdb\u884c\u5207\u5206\u65f6\uff0c\u5176\u5de6\u53f3\u533a\u95f4\u4e0d\u80fd\u4e3a null. \u6b64\u5904:left=[{0}],right=[{1}].
+rangesplitutil.3=\u53c2\u6570 bigInteger \u4e0d\u80fd\u4e3a\u7a7a.
+rangesplitutil.4=\u6839\u636e\u5b57\u7b26\u4e32\u8fdb\u884c\u5207\u5206\u65f6\u4ec5\u652f\u6301 ASCII \u5b57\u7b26\u4e32\uff0c\u800c\u5b57\u7b26\u4e32:[{0}]\u975e ASCII \u5b57\u7b26\u4e32.
+rangesplitutil.5=\u53c2\u6570 bigInteger \u4e0d\u80fd\u4e3a\u7a7a.
+rangesplitutil.6=\u6839\u636e\u5b57\u7b26\u4e32\u8fdb\u884c\u5207\u5206\u65f6\u4ec5\u652f\u6301 ASCII \u5b57\u7b26\u4e32\uff0c\u800c\u5b57\u7b26\u4e32:[{0}]\u975e ASCII \u5b57\u7b26\u4e32.
+
+
+retryutil.1=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u5165\u53c2callable\u4e0d\u80fd\u4e3a\u7a7a !
+retryutil.2=\u7cfb\u7edf\u7f16\u7a0b\u9519\u8bef, \u5165\u53c2retrytime[%d]\u4e0d\u80fd\u5c0f\u4e8e1 !
+retryutil.3=Exception when calling callable, \u5f02\u5e38Msg:{0}
+retryutil.4=Exception when calling callable, \u5373\u5c06\u5c1d\u8bd5\u6267\u884c\u7b2c{0}\u6b21\u91cd\u8bd5,\u5171\u8ba1\u91cd\u8bd5{1}\u6b21.\u672c\u6b21\u91cd\u8bd5\u8ba1\u5212\u7b49\u5f85[{2}]ms,\u5b9e\u9645\u7b49\u5f85[{3}]ms, \u5f02\u5e38Msg:[{4}]
+
+very_like_yixiao=一{0}二{1}三
+
+
+configuration.1=配置資訊錯誤，您提供的配置檔案[{0}]不存在. 請檢查您的配置檔案.
+configuration.2=配置資訊錯誤. 您提供配置檔案[{0}]讀取失敗，錯誤原因: {1}. 請檢查您的配置檔案的權限設定.
+configuration.3=請檢查您的配置檔案. 您提供的配置檔案讀取失敗，錯誤原因: {0}. 請檢查您的配置檔案的權限設定.
+configuration.4=您提供配置檔案有誤，[{0}]是必填參數，不允許為空或者留白 .
+configuration.5=您提供配置檔案有誤，[{0}]是必填參數，不允許為空或者留白 .
+configuration.6=任務讀取配置檔案出錯. 因為配置檔案路徑[{0}] 值不合法，期望是字符類型: {1}. 請檢查您的配置並作出修改.
+configuration.7=您提供的配置資訊有誤，因為從[{0}]獲取的值[{1}]無法轉換為bool類型. 請檢查源表的配置並且做出相應的修改.
+configuration.8=任務讀取配置檔案出錯. 配置檔案路徑[{0}] 值不合法, 期望是整數類型: {1}. 請檢查您的配置並作出修改.
+configuration.9=任務讀取配置檔案出錯. 配置檔案路徑[{0}] 值不合法, 期望是整數類型: {1}. 請檢查您的配置並作出修改.
+configuration.10=任務讀取配置檔案出錯. 配置檔案路徑[{0}] 值不合法, 期望是浮點類型: {1}. 請檢查您的配置並作出修改.
+configuration.11=配置檔案對應Key[{0}]並不存在，該情況是代碼編程錯誤. 請聯絡DataX團隊的同學.
+configuration.12=值[{0}]無法適配您提供[{1}]， 該異常代表系統編程錯誤, 請聯絡DataX開發團隊!
+configuration.13=Path不能為null，該異常代表系統編程錯誤, 請聯絡DataX開發團隊 !
+configuration.14=路徑[{0}]出現不合法值類型[{1}]，該異常代表系統編程錯誤, 請聯絡DataX開發團隊! .
+configuration.15=該異常代表系統編程錯誤, 請聯絡DataX開發團隊 !
+configuration.16=您提供的配置檔案有誤. 路徑[{0}]需要配置Json格式的Map對象，但該節點發現實際類型是[{1}]. 請檢查您的配置並作出修改.
+configuration.17=您提供的配置檔案有誤. 路徑[{0}]值為null，datax無法識別該配置. 請檢查您的配置並作出修改.
+configuration.18=您提供的配置檔案有誤. 路徑[{0}]需要配置Json格式的Map對象，但該節點發現實際類型是[{1}]. 請檢查您的配置並作出修改.
+configuration.19=系統編程錯誤，清單下標必須為數字類型，但該節點發現實際類型是[{0}] ，該異常代表系統編程錯誤, 請聯絡DataX開發團隊 !
+configuration.20=系統編程錯誤, 該異常代表系統編程錯誤, 請聯絡DataX開發團隊!.
+configuration.21=系統編程錯誤, 路徑[{0}]不合法, 路徑層次之間不能出現空白字符 .
+configuration.22=配置資訊錯誤. 因為您提供的配置資訊不是合法的JSON格式, JSON不能為空白. 請按照標準json格式提供配置資訊.
+configuration.23=配置資訊錯誤. 您提供的配置資訊不是合法的JSON格式: {0}. 請按照標準json格式提供配置資訊. 
+
+
+listutil.1=您提供的作業配置有誤，List不能為空.
+listutil.2=您提供的作業配置有誤, List不能為空.
+listutil.3=您提供的作業配置資訊有誤, String:[{0}]不允許重複出現在清單中: [{1}].
+listutil.4=您提供的作業配置有誤, List不能為空.
+listutil.5=您提供的作業配置有誤, List不能為空.
+listutil.6=您提供的作業配置資訊有誤, String:[{0}]不存在於清單中:[{1}].
+listutil.7=您提供的作業配置有誤, List不能為空.
+listutil.8=您提供的作業配置有誤, List不能為空.
+
+
+rangesplitutil.1=切分份數不能小於1. 此處:expectSliceNumber=[{0}].
+rangesplitutil.2=對 BigInteger 進行切分時，其左右區間不能為 null. 此處:left=[{0}],right=[{1}].
+rangesplitutil.3=參數 bigInteger 不能為空.
+rangesplitutil.4=根據字符串進行切分時僅支援 ASCII 字符串，而字符串:[{0}]非 ASCII 字符串.
+rangesplitutil.5=參數 bigInteger 不能為空.
+rangesplitutil.6=根據字符串進行切分時僅支援 ASCII 字符串，而字符串:[{0}]非 ASCII 字符串.
+
+
+retryutil.1=系統編程錯誤, 入參callable不能為空 !
+retryutil.2=系統編程錯誤, 入參retrytime[%d]不能小於1 !
+retryutil.3=Exception when calling callable, 異常Msg:{0}
+retryutil.4=Exception when calling callable, 即將嘗試執行第{0}次重試,共計重試{1}次.本次重試計劃等待[{2}]ms,實際等待[{3}]ms, 異常Msg:[{4}]
+
+httpclientutil.1=\u8BF7\u6C42\u5730\u5740\uFF1A{0}, \u8BF7\u6C42\u65B9\u6CD5\uFF1A{1},STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=\u8FDC\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C06\u91CD\u8BD5

common/src/main/java/com/alibaba/datax/common/util/MessageSource.java

@@ -0,0 +1,207 @@
+package com.alibaba.datax.common.util;
+
+import java.text.MessageFormat;
+import java.util.HashMap;
+import java.util.Locale;
+import java.util.Map;
+import java.util.MissingResourceException;
+import java.util.ResourceBundle;
+import java.util.TimeZone;
+
+import org.apache.commons.lang3.LocaleUtils;
+import org.apache.commons.lang3.StringUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+
+public class MessageSource {
+    private static final Logger LOG = LoggerFactory.getLogger(MessageSource.class);
+    private static Map<String, ResourceBundle> resourceBundleCache = new HashMap<String, ResourceBundle>();
+    public static Locale locale = null;
+    public static TimeZone timeZone = null;
+    private ResourceBundle resourceBundle = null;
+
+    private MessageSource(ResourceBundle resourceBundle) {
+        this.resourceBundle = resourceBundle;
+    }
+
+    /**
+     * @param baseName
+     *            demo: javax.servlet.http.LocalStrings
+     * 
+     * @throws MissingResourceException
+     *             - if no resource bundle for the specified base name can be
+     *             found
+     * */
+    public static MessageSource loadResourceBundle(String baseName) {
+        return loadResourceBundle(baseName, MessageSource.locale,
+                MessageSource.timeZone);
+    }
+
+    /**
+     * @param clazz
+     *            根据其获取package name
+     * */
+    public static <T> MessageSource loadResourceBundle(Class<T> clazz) {
+        return loadResourceBundle(clazz.getPackage().getName());
+    }
+
+    /**
+     * @param clazz
+     *            根据其获取package name
+     * */
+    public static <T> MessageSource loadResourceBundle(Class<T> clazz,
+            Locale locale, TimeZone timeZone) {
+        return loadResourceBundle(clazz.getPackage().getName(), locale,
+                timeZone);
+    }
+
+    /**
+     * warn: 
+     *   ok: ResourceBundle.getBundle("xxx.LocalStrings", Locale.getDefault(), LoadUtil.getJarLoader(PluginType.WRITER, "odpswriter"))
+     *   error: ResourceBundle.getBundle("xxx.LocalStrings", Locale.getDefault(), LoadUtil.getJarLoader(PluginType.WRITER, "odpswriter"))
+     * @param baseName
+     *            demo: javax.servlet.http.LocalStrings
+     * 
+     * @throws MissingResourceException
+     *             - if no resource bundle for the specified base name can be
+     *             found
+     *             
+     * */
+    public static MessageSource loadResourceBundle(String baseName,
+            Locale locale, TimeZone timeZone) {
+        ResourceBundle resourceBundle = null;
+        if (null == locale) {
+            locale = LocaleUtils.toLocale("en_US");
+        }
+        if (null == timeZone) {
+            timeZone = TimeZone.getDefault();
+        }
+        String resourceBaseName = String.format("%s.LocalStrings", baseName);
+        LOG.debug(
+                "initEnvironment MessageSource.locale[{}], MessageSource.timeZone[{}]",
+                MessageSource.locale, MessageSource.timeZone);
+        LOG.debug(
+                "loadResourceBundle with locale[{}], timeZone[{}], baseName[{}]",
+                locale, timeZone, resourceBaseName);
+        // warn: 这个map的维护需要考虑Local吗, no?
+        if (!MessageSource.resourceBundleCache.containsKey(resourceBaseName)) {
+            ClassLoader clazzLoader = Thread.currentThread()
+                    .getContextClassLoader();
+            LOG.debug("loadResourceBundle classLoader:{}", clazzLoader);
+            resourceBundle = ResourceBundle.getBundle(resourceBaseName, locale,
+                    clazzLoader);
+            MessageSource.resourceBundleCache.put(resourceBaseName,
+                    resourceBundle);
+        } else {
+            resourceBundle = MessageSource.resourceBundleCache
+                    .get(resourceBaseName);
+        }
+
+        return new MessageSource(resourceBundle);
+    }
+    
+    public static <T> boolean unloadResourceBundle(Class<T> clazz) {
+        String baseName = clazz.getPackage().getName();
+        String resourceBaseName = String.format("%s.LocalStrings", baseName);
+        if (!MessageSource.resourceBundleCache.containsKey(resourceBaseName)) {
+            return false;
+        } else {
+            MessageSource.resourceBundleCache.remove(resourceBaseName);
+            return true;
+        }
+    }
+    
+    public static <T> MessageSource reloadResourceBundle(Class<T> clazz) {
+        MessageSource.unloadResourceBundle(clazz);
+        return MessageSource.loadResourceBundle(clazz);
+    }
+
+    public static void setEnvironment(Locale locale, TimeZone timeZone) {
+        // warn: 设置默认?  @2018.03.21 将此处注释移除，否则在国际化多时区下会遇到问题
+        Locale.setDefault(locale);
+        TimeZone.setDefault(timeZone);
+        MessageSource.locale = locale;
+        MessageSource.timeZone = timeZone;
+        LOG.info("use Locale: {} timeZone: {}", locale, timeZone);
+    }
+
+    public static void init(final Configuration configuration) {
+        Locale locale2Set = Locale.getDefault();
+        String localeStr = configuration.getString("common.column.locale", "zh_CN");// 默认操作系统的
+        if (StringUtils.isNotBlank(localeStr)) {
+            try {
+                locale2Set = LocaleUtils.toLocale(localeStr);
+            } catch (Exception e) {
+                LOG.warn("ignored locale parse exception: {}", e.getMessage());
+            }
+        }
+
+        TimeZone timeZone2Set = TimeZone.getDefault();
+        String timeZoneStr = configuration.getString("common.column.timeZone");// 默认操作系统的
+        if (StringUtils.isNotBlank(timeZoneStr)) {
+            try {
+                timeZone2Set = TimeZone.getTimeZone(timeZoneStr);
+            } catch (Exception e) {
+                LOG.warn("ignored timezone parse exception: {}", e.getMessage());
+            }
+        }
+
+        LOG.info("JVM TimeZone: {}, Locale: {}", timeZone2Set.getID(), locale2Set);
+        MessageSource.setEnvironment(locale2Set, timeZone2Set);
+    }
+
+    public static void clearCache() {
+        MessageSource.resourceBundleCache.clear();
+    }
+
+    public String message(String code) {
+        return this.messageWithDefaultMessage(code, null);
+    }
+
+    public String message(String code, String args1) {
+        return this.messageWithDefaultMessage(code, null,
+                new Object[] { args1 });
+    }
+
+    public String message(String code, String args1, String args2) {
+        return this.messageWithDefaultMessage(code, null, new Object[] { args1,
+                args2 });
+    }
+
+    public String message(String code, String args1, String args2, String args3) {
+        return this.messageWithDefaultMessage(code, null, new Object[] { args1,
+                args2, args3 });
+    }
+
+    // 上面几个重载可以应对大多数情况, 避免使用这个可以提高性能的
+    public String message(String code, Object... args) {
+        return this.messageWithDefaultMessage(code, null, args);
+    }
+
+    public String messageWithDefaultMessage(String code, String defaultMessage) {
+        return this.messageWithDefaultMessage(code, defaultMessage,
+                new Object[] {});
+    }
+
+    /**
+     * @param args
+     *            MessageFormat会依次调用对应对象的toString方法
+     * */
+    public String messageWithDefaultMessage(String code, String defaultMessage,
+            Object... args) {
+        String messageStr = null;
+        try {
+            messageStr = this.resourceBundle.getString(code);
+        } catch (MissingResourceException e) {
+            messageStr = defaultMessage;
+        }
+        if (null != messageStr && null != args && args.length > 0) {
+            // warn: see loadResourceBundle set default locale
+            return MessageFormat.format(messageStr, args);
+        } else {
+            return messageStr;
+        }
+
+    }
+}

common/src/main/java/com/alibaba/datax/common/util/RangeSplitUtil.java

@@ -206,4 +206,27 @@ public final class RangeSplitUtil {
         return true;
     }
 
+
+    /**
+     * List拆分工具函数，主要用于reader插件的split拆分逻辑
+     * */
+    public static <T> List<List<T>> doListSplit(List<T> objects, int adviceNumber) {
+        List<List<T>> splitLists = new ArrayList<List<T>>();
+        if (null == objects) {
+            return splitLists;
+        }
+        long[] splitPoint = RangeSplitUtil.doLongSplit(0, objects.size(), adviceNumber);
+        for (int startIndex = 0; startIndex < splitPoint.length - 1; startIndex++) {
+            List<T> objectsForTask = new ArrayList<T>();
+            int endIndex = startIndex + 1;
+            for (long i = splitPoint[startIndex]; i < splitPoint[endIndex]; i++) {
+                objectsForTask.add(objects.get((int) i));
+            }
+            if (!objectsForTask.isEmpty()) {
+                splitLists.add(objectsForTask);
+            }
+        }
+        return splitLists;
+    }
+
 }

core/pom.xml

@@ -41,12 +41,12 @@
         <dependency>
             <groupId>org.apache.httpcomponents</groupId>
             <artifactId>httpclient</artifactId>
-            <version>4.4</version>
+            <version>4.5</version>
         </dependency>
         <dependency>
             <groupId>org.apache.httpcomponents</groupId>
             <artifactId>fluent-hc</artifactId>
-            <version>4.4</version>
+            <version>4.5</version>
         </dependency>
         <dependency>
             <groupId>org.slf4j</groupId>
@@ -100,6 +100,14 @@
     </dependencies>
 
     <build>
+        <resources>
+          <resource>
+            <directory>src/main/java</directory>
+            <includes>
+              <include>**/*.properties</include>
+            </includes>
+          </resource>
+        </resources>
         <plugins>
             <plugin>
                 <groupId>org.apache.maven.plugins</groupId>

core/src/main/bin/datax.py

@@ -1,23 +1,26 @@
 #!/usr/bin/env python
 # -*- coding:utf-8 -*-
 
-import sys
-import os
-import signal
-import subprocess
-import time
-import re
-import socket
-import json
-from optparse import OptionParser
-from optparse import OptionGroup
-from string import Template
 import codecs
+import json
+import os
 import platform
+import re
+import signal
+import socket
+import subprocess
+import sys
+import time
+from optparse import OptionGroup
+from optparse import OptionParser
+from string import Template
+
+ispy2 = sys.version_info.major == 2
 
 def isWindows():
     return platform.system() == 'Windows'
 
+
 DATAX_HOME = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
 
 DATAX_VERSION = 'DATAX-OPENSOURCE-3.0'
@@ -52,13 +55,19 @@ def getLocalIp():
 
 def suicide(signum, e):
     global child_process
-    print >> sys.stderr, "[Error] DataX receive unexpected signal %d, starts to suicide." % (signum)
+    if ispy2:
+        print >> sys.stderr, "[Error] DataX receive unexpected signal %d, starts to suicide." % (signum)
+    else:
+        print("[Error] DataX receive unexpected signal %d, starts to suicide." % (signum), sys.stderr)
 
     if child_process:
         child_process.send_signal(signal.SIGQUIT)
         time.sleep(1)
         child_process.kill()
-    print >> sys.stderr, "DataX Process was killed ! you did ?"
+    if ispy2:
+        print >> sys.stderr, "DataX Process was killed ! you did ?"
+    else:
+        print("DataX Process was killed ! you did ?", sys.stderr)
     sys.exit(RET_STATE["KILL"])
 
 
@@ -92,10 +101,10 @@ def getOptionParser():
                                        'if you have mutiple parameters: -p"-DtableName=your-table-name -DcolumnName=your-column-name".'
                                        'Note: you should config in you job tableName with ${tableName}.')
     prodEnvOptionGroup.add_option("-r", "--reader", metavar="<parameter used in view job config[reader] template>",
-                                  action="store", dest="reader",type="string",
+                                  action="store", dest="reader", type="string",
                                   help='View job config[reader] template, eg: mysqlreader,streamreader')
     prodEnvOptionGroup.add_option("-w", "--writer", metavar="<parameter used in view job config[writer] template>",
-                                  action="store", dest="writer",type="string",
+                                  action="store", dest="writer", type="string",
                                   help='View job config[writer] template, eg: mysqlwriter,streamwriter')
     parser.add_option_group(prodEnvOptionGroup)
 
@@ -108,45 +117,50 @@ def getOptionParser():
     parser.add_option_group(devEnvOptionGroup)
     return parser
 
+
 def generateJobConfigTemplate(reader, writer):
-    readerRef = "Please refer to the %s document:\n     https://github.com/alibaba/DataX/blob/master/%s/doc/%s.md \n" % (reader,reader,reader)
-    writerRef = "Please refer to the %s document:\n     https://github.com/alibaba/DataX/blob/master/%s/doc/%s.md \n " % (writer,writer,writer)
-    print readerRef
-    print writerRef
+    readerRef = "Please refer to the %s document:\n     https://github.com/alibaba/DataX/blob/master/%s/doc/%s.md \n" % (
+        reader, reader, reader)
+    writerRef = "Please refer to the %s document:\n     https://github.com/alibaba/DataX/blob/master/%s/doc/%s.md \n " % (
+        writer, writer, writer)
+    print(readerRef)
+    print(writerRef)
     jobGuid = 'Please save the following configuration as a json file and  use\n     python {DATAX_HOME}/bin/datax.py {JSON_FILE_NAME}.json \nto run the job.\n'
-    print jobGuid
-    jobTemplate={
-      "job": {
-        "setting": {
-          "speed": {
-            "channel": ""
-          }
-        },
-        "content": [
-          {
-            "reader": {},
-            "writer": {}
-          }
-        ]
-      }
+    print(jobGuid)
+    jobTemplate = {
+        "job": {
+            "setting": {
+                "speed": {
+                    "channel": ""
+                }
+            },
+            "content": [
+                {
+                    "reader": {},
+                    "writer": {}
+                }
+            ]
+        }
     }
-    readerTemplatePath = "%s/plugin/reader/%s/plugin_job_template.json" % (DATAX_HOME,reader)
-    writerTemplatePath = "%s/plugin/writer/%s/plugin_job_template.json" % (DATAX_HOME,writer)
+    readerTemplatePath = "%s/plugin/reader/%s/plugin_job_template.json" % (DATAX_HOME, reader)
+    writerTemplatePath = "%s/plugin/writer/%s/plugin_job_template.json" % (DATAX_HOME, writer)
     try:
-      readerPar = readPluginTemplate(readerTemplatePath);
-    except Exception, e:
-       print "Read reader[%s] template error: can\'t find file %s" % (reader,readerTemplatePath)
+        readerPar = readPluginTemplate(readerTemplatePath)
+    except:
+        print("Read reader[%s] template error: can\'t find file %s" % (reader, readerTemplatePath))
     try:
-      writerPar = readPluginTemplate(writerTemplatePath);
-    except Exception, e:
-      print "Read writer[%s] template error: : can\'t find file %s" % (writer,writerTemplatePath)
-    jobTemplate['job']['content'][0]['reader'] = readerPar;
-    jobTemplate['job']['content'][0]['writer'] = writerPar;
-    print json.dumps(jobTemplate, indent=4, sort_keys=True)
+        writerPar = readPluginTemplate(writerTemplatePath)
+    except:
+        print("Read writer[%s] template error: : can\'t find file %s" % (writer, writerTemplatePath))
+    jobTemplate['job']['content'][0]['reader'] = readerPar
+    jobTemplate['job']['content'][0]['writer'] = writerPar
+    print(json.dumps(jobTemplate, indent=4, sort_keys=True))
+
 
 def readPluginTemplate(plugin):
     with open(plugin, 'r') as f:
-            return json.load(f)
+        return json.load(f)
+
 
 def isUrl(path):
     if not path:
@@ -168,7 +182,7 @@ def buildStartCommand(options, args):
 
     if options.remoteDebug:
         tempJVMCommand = tempJVMCommand + " " + REMOTE_DEBUG_CONFIG
-        print 'local ip: ', getLocalIp()
+        print('local ip: ', getLocalIp())
 
     if options.loglevel:
         tempJVMCommand = tempJVMCommand + " " + ("-Dloglevel=%s" % (options.loglevel))
@@ -198,11 +212,11 @@ def buildStartCommand(options, args):
 
 
 def printCopyright():
-    print '''
+    print('''
 DataX (%s), From Alibaba !
 Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
 
-''' % DATAX_VERSION
+''' % DATAX_VERSION)
     sys.stdout.flush()
 
 
@@ -211,7 +225,7 @@ if __name__ == "__main__":
     parser = getOptionParser()
     options, args = parser.parse_args(sys.argv[1:])
     if options.reader is not None and options.writer is not None:
-        generateJobConfigTemplate(options.reader,options.writer)
+        generateJobConfigTemplate(options.reader, options.writer)
         sys.exit(RET_STATE['OK'])
     if len(args) != 1:
         parser.print_help()

core/src/main/bin/perftrace.py

@@ -174,6 +174,9 @@ def parsePluginName(jdbcUrl, pluginType):
     db2Regex = re.compile('jdbc:(db2)://.*')
     if (db2Regex.match(jdbcUrl)):
         name = 'db2'
+    kingbaseesRegex = re.compile('jdbc:(kingbase8)://.*')
+    if (kingbaseesRegex.match(jdbcUrl)):
+        name = 'kingbasees'
     return "%s%s" % (name, pluginType)
 
 def renderDataXJson(paramsDict, readerOrWriter = 'reader', channel = 1):

core/src/main/java/com/alibaba/datax/core/Engine.java

@@ -6,6 +6,7 @@ import com.alibaba.datax.common.spi.ErrorCode;
 import com.alibaba.datax.common.statistics.PerfTrace;
 import com.alibaba.datax.common.statistics.VMInfo;
 import com.alibaba.datax.common.util.Configuration;
+import com.alibaba.datax.common.util.MessageSource;
 import com.alibaba.datax.core.job.JobContainer;
 import com.alibaba.datax.core.taskgroup.TaskGroupContainer;
 import com.alibaba.datax.core.util.ConfigParser;
@@ -73,7 +74,7 @@ public class Engine {
         boolean traceEnable = allConf.getBool(CoreConstant.DATAX_CORE_CONTAINER_TRACE_ENABLE, true);
         boolean perfReportEnable = allConf.getBool(CoreConstant.DATAX_CORE_REPORT_DATAX_PERFLOG, true);
 
-        //standlone模式的datax shell任务不进行汇报
+        //standalone模式的 datax shell任务不进行汇报
         if(instanceId == -1){
             perfReportEnable = false;
         }
@@ -135,6 +136,9 @@ public class Engine {
         RUNTIME_MODE = cl.getOptionValue("mode");
 
         Configuration configuration = ConfigParser.parse(jobPath);
+        // 绑定i18n信息
+        MessageSource.init(configuration);
+        MessageSource.reloadResourceBundle(Configuration.class);
 
         long jobId;
         if (!"-1".equalsIgnoreCase(jobIdString)) {

core/src/main/java/com/alibaba/datax/core/LocalStrings.properties

@@ -0,0 +1,5 @@
+very_like_yixiao=\u4e00{0}\u4e8c{1}\u4e09
+
+engine.1=\u975e standalone \u6a21\u5f0f\u5fc5\u987b\u5728 URL \u4e2d\u63d0\u4f9b\u6709\u6548\u7684 jobId.    
+engine.2=\n\n\u7ecfDataX\u667a\u80fd\u5206\u6790,\u8be5\u4efb\u52a1\u6700\u53ef\u80fd\u7684\u9519\u8bef\u539f\u56e0\u662f:\n{0}
+

core/src/main/java/com/alibaba/datax/core/LocalStrings_en_US.properties

@@ -0,0 +1,5 @@
+very_like_yixiao=1{0}2{1}3
+
+engine.1=A valid job ID must be provided in the URL for the non-standalone mode.    
+engine.2=\n\nThrough the intelligent analysis by DataX, the most likely error reason of this task is: \n{0}
+

core/src/main/java/com/alibaba/datax/core/LocalStrings_ja_JP.properties

@@ -0,0 +1,5 @@
+very_like_yixiao=1{0}2{1}3
+
+engine.1=\u975e standalone \u6a21\u5f0f\u5fc5\u987b\u5728 URL \u4e2d\u63d0\u4f9b\u6709\u6548\u7684 jobId.    
+engine.2=\n\n\u7ecfDataX\u667a\u80fd\u5206\u6790,\u8be5\u4efb\u52a1\u6700\u53ef\u80fd\u7684\u9519\u8bef\u539f\u56e0\u662f:\n{0}
+

core/src/main/java/com/alibaba/datax/core/LocalStrings_zh_CN.properties

@@ -0,0 +1,5 @@
+very_like_yixiao=\u4e00{0}\u4e8c{1}\u4e09
+
+engine.1=\u975e standalone \u6a21\u5f0f\u5fc5\u987b\u5728 URL \u4e2d\u63d0\u4f9b\u6709\u6548\u7684 jobId.    
+engine.2=\n\n\u7ecfDataX\u667a\u80fd\u5206\u6790,\u8be5\u4efb\u52a1\u6700\u53ef\u80fd\u7684\u9519\u8bef\u539f\u56e0\u662f:\n{0}
+

core/src/main/java/com/alibaba/datax/core/LocalStrings_zh_HK.properties

@@ -0,0 +1,10 @@
+very_like_yixiao=\u4e00{0}\u4e8c{1}\u4e09
+
+engine.1=\u975e standalone \u6a21\u5f0f\u5fc5\u987b\u5728 URL \u4e2d\u63d0\u4f9b\u6709\u6548\u7684 jobId.    
+engine.2=\n\n\u7ecfDataX\u667a\u80fd\u5206\u6790,\u8be5\u4efb\u52a1\u6700\u53ef\u80fd\u7684\u9519\u8bef\u539f\u56e0\u662f:\n{0}
+
+very_like_yixiao=一{0}二{1}三
+
+engine.1=非 standalone 模式必須在 URL 中提供有效的 jobId.    
+engine.2=\n\n經DataX智能分析,該任務最可能的錯誤原因是:\n{0}
+

core/src/main/java/com/alibaba/datax/core/LocalStrings_zh_TW.properties

@@ -0,0 +1,10 @@
+very_like_yixiao=\u4e00{0}\u4e8c{1}\u4e09
+
+engine.1=\u975e standalone \u6a21\u5f0f\u5fc5\u987b\u5728 URL \u4e2d\u63d0\u4f9b\u6709\u6548\u7684 jobId.    
+engine.2=\n\n\u7ecfDataX\u667a\u80fd\u5206\u6790,\u8be5\u4efb\u52a1\u6700\u53ef\u80fd\u7684\u9519\u8bef\u539f\u56e0\u662f:\n{0}
+
+very_like_yixiao=一{0}二{1}三
+
+engine.1=非 standalone 模式必須在 URL 中提供有效的 jobId.    
+engine.2=\n\n經DataX智能分析,該任務最可能的錯誤原因是:\n{0}
+

core/src/main/java/com/alibaba/datax/core/statistics/plugin/task/util/DirtyRecord.java

@@ -11,15 +11,18 @@ import java.math.BigInteger;
 import java.util.ArrayList;
 import java.util.Date;
 import java.util.List;
+import java.util.Map;
 
 public class DirtyRecord implements Record {
 	private List<Column> columns = new ArrayList<Column>();
+	private Map<String, String> meta;
 
 	public static DirtyRecord asDirtyRecord(final Record record) {
 		DirtyRecord result = new DirtyRecord();
 		for (int i = 0; i < record.getColumnNumber(); i++) {
 			result.addColumn(record.getColumn(i));
 		}
+		result.setMeta(record.getMeta());
 
 		return result;
 	}
@@ -65,6 +68,16 @@ public class DirtyRecord implements Record {
 				"该方法不支持!");
 	}
 
+	@Override
+	public void setMeta(Map<String, String> meta) {
+		this.meta = meta;
+	}
+
+	@Override
+	public Map<String, String> getMeta() {
+		return this.meta;
+	}
+
 	public List<Column> getColumns() {
 		return columns;
 	}
@@ -119,6 +132,12 @@ class DirtyColumn extends Column {
 		throw DataXException.asDataXException(FrameworkErrorCode.RUNTIME_ERROR,
 				"该方法不支持!");
 	}
+	
+	@Override
+	public Date asDate(String dateFormat) {
+		throw DataXException.asDataXException(FrameworkErrorCode.RUNTIME_ERROR,
+				"该方法不支持!");
+	}
 
 	@Override
 	public byte[] asBytes() {

core/src/main/java/com/alibaba/datax/core/transport/record/DefaultRecord.java

@@ -27,6 +27,8 @@ public class DefaultRecord implements Record {
 	// 首先是Record本身需要的内存
 	private int memorySize = ClassSize.DefaultRecordHead;
 
+	private Map<String, String> meta;
+
 	public DefaultRecord() {
 		this.columns = new ArrayList<Column>(RECORD_AVERGAE_COLUMN_NUMBER);
 	}
@@ -83,6 +85,16 @@ public class DefaultRecord implements Record {
 		return memorySize;
 	}
 
+	@Override
+	public void setMeta(Map<String, String> meta) {
+		this.meta = meta;
+	}
+
+	@Override
+	public Map<String, String> getMeta() {
+		return this.meta;
+	}
+
 	private void decrByteSize(final Column column) {
 		if (null == column) {
 			return;

core/src/main/java/com/alibaba/datax/core/transport/record/TerminateRecord.java

@@ -3,6 +3,8 @@ package com.alibaba.datax.core.transport.record;
 import com.alibaba.datax.common.element.Column;
 import com.alibaba.datax.common.element.Record;
 
+import java.util.Map;
+
 /**
  * 作为标示 生产者已经完成生产的标志
  * 
@@ -41,6 +43,16 @@ public class TerminateRecord implements Record {
 		return 0;
 	}
 
+	@Override
+	public void setMeta(Map<String, String> meta) {
+
+	}
+
+	@Override
+	public Map<String, String> getMeta() {
+		return null;
+	}
+
 	@Override
 	public void setColumn(int i, Column column) {
 		return;

core/src/main/java/com/alibaba/datax/core/util/LocalStrings.properties

@@ -0,0 +1,58 @@
+configparser.1=\u63D2\u4EF6[{0},{1}]\u52A0\u8F7D\u5931\u8D25\uFF0C1s\u540E\u91CD\u8BD5... Exception:{2}
+configparser.2=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.3=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.4=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.5=\u63D2\u4EF6\u52A0\u8F7D\u5931\u8D25\uFF0C\u672A\u5B8C\u6210\u6307\u5B9A\u63D2\u4EF6\u52A0\u8F7D:{0}
+configparser.6=\u63D2\u4EF6\u52A0\u8F7D\u5931\u8D25,\u5B58\u5728\u91CD\u590D\u63D2\u4EF6:{0}
+
+dataxserviceutil.1=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38NoSuchAlgorithmException, [{0}]
+dataxserviceutil.2=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38InvalidKeyException, [{0}]
+dataxserviceutil.3=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38UnsupportedEncodingException, [{0}]
+
+errorrecordchecker.1=\u810F\u6570\u636E\u767E\u5206\u6BD4\u9650\u5236\u5E94\u8BE5\u5728[0.0, 1.0]\u4E4B\u95F4
+errorrecordchecker.2=\u810F\u6570\u636E\u6761\u6570\u73B0\u5728\u5E94\u8BE5\u4E3A\u975E\u8D1F\u6574\u6570
+errorrecordchecker.3=\u810F\u6570\u636E\u6761\u6570\u68C0\u67E5\u4E0D\u901A\u8FC7\uFF0C\u9650\u5236\u662F[{0}]\u6761\uFF0C\u4F46\u5B9E\u9645\u4E0A\u6355\u83B7\u4E86[{1}]\u6761.
+errorrecordchecker.4=\u810F\u6570\u636E\u767E\u5206\u6BD4\u68C0\u67E5\u4E0D\u901A\u8FC7\uFF0C\u9650\u5236\u662F[{0}]\uFF0C\u4F46\u5B9E\u9645\u4E0A\u6355\u83B7\u5230[{1}].
+
+
+errorcode.install_error=DataX\u5F15\u64CE\u5B89\u88C5\u9519\u8BEF, \u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.argument_error=DataX\u5F15\u64CE\u8FD0\u884C\u9519\u8BEF\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8E\u5185\u90E8\u7F16\u7A0B\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3 .
+errorcode.runtime_error=DataX\u5F15\u64CE\u8FD0\u884C\u8FC7\u7A0B\u51FA\u9519\uFF0C\u5177\u4F53\u539F\u56E0\u8BF7\u53C2\u770BDataX\u8FD0\u884C\u7ED3\u675F\u65F6\u7684\u9519\u8BEF\u8BCA\u65AD\u4FE1\u606F  .
+errorcode.config_error=DataX\u5F15\u64CE\u914D\u7F6E\u9519\u8BEF\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.secret_error=DataX\u5F15\u64CE\u52A0\u89E3\u5BC6\u51FA\u9519\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.hook_load_error=\u52A0\u8F7D\u5916\u90E8Hook\u51FA\u73B0\u9519\u8BEF\uFF0C\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u5F15\u8D77\u7684
+errorcode.hook_fail_error=\u6267\u884C\u5916\u90E8Hook\u51FA\u73B0\u9519\u8BEF
+errorcode.plugin_install_error=DataX\u63D2\u4EF6\u5B89\u88C5\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_not_found=DataX\u63D2\u4EF6\u914D\u7F6E\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_init_error=DataX\u63D2\u4EF6\u521D\u59CB\u5316\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_runtime_error=DataX\u63D2\u4EF6\u8FD0\u884C\u65F6\u51FA\u9519, \u5177\u4F53\u539F\u56E0\u8BF7\u53C2\u770BDataX\u8FD0\u884C\u7ED3\u675F\u65F6\u7684\u9519\u8BEF\u8BCA\u65AD\u4FE1\u606F .
+errorcode.plugin_dirty_data_limit_exceed=DataX\u4F20\u8F93\u810F\u6570\u636E\u8D85\u8FC7\u7528\u6237\u9884\u671F\uFF0C\u8BE5\u9519\u8BEF\u901A\u5E38\u662F\u7531\u4E8E\u6E90\u7AEF\u6570\u636E\u5B58\u5728\u8F83\u591A\u4E1A\u52A1\u810F\u6570\u636E\u5BFC\u81F4\uFF0C\u8BF7\u4ED4\u7EC6\u68C0\u67E5DataX\u6C47\u62A5\u7684\u810F\u6570\u636E\u65E5\u5FD7\u4FE1\u606F, \u6216\u8005\u60A8\u53EF\u4EE5\u9002\u5F53\u8C03\u5927\u810F\u6570\u636E\u9608\u503C .
+errorcode.plugin_split_error=DataX\u63D2\u4EF6\u5207\u5206\u51FA\u9519, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5404\u4E2A\u63D2\u4EF6\u7F16\u7A0B\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3
+errorcode.kill_job_timeout_error=kill \u4EFB\u52A1\u8D85\u65F6\uFF0C\u8BF7\u8054\u7CFBPE\u89E3\u51B3
+errorcode.start_taskgroup_error=taskGroup\u542F\u52A8\u5931\u8D25,\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3
+errorcode.call_datax_service_failed=\u8BF7\u6C42 DataX Service \u51FA\u9519.
+errorcode.call_remote_failed=\u8FDC\u7A0B\u8C03\u7528\u5931\u8D25
+errorcode.killed_exit_value=Job \u6536\u5230\u4E86 Kill \u547D\u4EE4.
+
+
+httpclientutil.1=\u8BF7\u6C42\u5730\u5740\uFF1A{0}, \u8BF7\u6C42\u65B9\u6CD5\uFF1A{1}, STATUS CODE = {2}, Response Entity: {3} 
+httpclientutil.2=\u8FDC\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C06\u91CD\u8BD5
+
+
+secretutil.1=\u7CFB\u7EDF\u7F16\u7A0B\u9519\u8BEF,\u4E0D\u652F\u6301\u7684\u52A0\u5BC6\u7C7B\u578B
+secretutil.2=\u7CFB\u7EDF\u7F16\u7A0B\u9519\u8BEF,\u4E0D\u652F\u6301\u7684\u52A0\u5BC6\u7C7B\u578B
+secretutil.3=rsa\u52A0\u5BC6\u51FA\u9519
+secretutil.4=rsa\u89E3\u5BC6\u51FA\u9519
+secretutil.5=3\u91CDDES\u52A0\u5BC6\u51FA\u9519
+secretutil.6=rsa\u89E3\u5BC6\u51FA\u9519
+secretutil.7=\u6784\u5EFA\u4E09\u91CDDES\u5BC6\u5319\u51FA\u9519
+secretutil.8=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u65E0\u6CD5\u627E\u5230\u5BC6\u94A5\u7684\u914D\u7F6E\u6587\u4EF6
+secretutil.9=\u8BFB\u53D6\u52A0\u89E3\u5BC6\u914D\u7F6E\u6587\u4EF6\u51FA\u9519
+secretutil.10=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C
+secretutil.11=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7EDF\u7EF4\u62A4\u95EE\u9898
+secretutil.12=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C
+secretutil.13=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7EDF\u7EF4\u62A4\u95EE\u9898
+secretutil.14=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C[{0}]\u5B58\u5728\u5BC6\u94A5\u4E3A\u7A7A\u7684\u60C5\u51B5
+secretutil.15=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u516C\u79C1\u94A5\u5BF9\u5B58\u5728\u4E3A\u7A7A\u7684\u60C5\u51B5\uFF0C\u7248\u672C[{0}]
+secretutil.16=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u65E0\u6CD5\u627E\u5230\u52A0\u89E3\u5BC6\u914D\u7F6E
+

core/src/main/java/com/alibaba/datax/core/util/LocalStrings_en_US.properties

@@ -0,0 +1,58 @@
+configparser.1=Failed to load the plug-in [{0},{1}]. We will retry in 1s... Exception: {2}
+configparser.2=Failed to obtain the job configuration information: {0}
+configparser.3=Failed to obtain the job configuration information: {0}
+configparser.4=Failed to obtain the job configuration information: {0}
+configparser.5=Failed to load the plug-in. Loading of the specific plug-in:{0} is not completed
+configparser.6=Failed to load the plug-in. A duplicate plug-in: {0} exists
+
+dataxserviceutil.1=Exception in creating signature. NoSuchAlgorithmException, [{0}]
+dataxserviceutil.2=Exception in creating signature. InvalidKeyException, [{0}]
+dataxserviceutil.3=Exception in creating signature. UnsupportedEncodingException, [{0}]
+
+errorrecordchecker.1=The percentage of dirty data should be limited to within [0.0, 1.0]
+errorrecordchecker.2=The number of dirty data entries should now be a nonnegative integer
+errorrecordchecker.3=Check for the number of dirty data entries has not passed. The limit is [{0}] entries, but [{1}] entries have been captured. 
+errorrecordchecker.4=Check for the percentage of dirty data has not passed. The limit is [{0}], but [{1}] of dirty data has been captured. 
+
+
+errorcode.install_error=Error in installing DataX engine. Please contact your O&M team to solve the problem.
+errorcode.argument_error=Error in running DataX engine. This problem is generally caused by an internal programming error. Please contact the DataX developer team to solve the problem. 
+errorcode.runtime_error=The DataX engine encountered an error during running. For the specific cause, refer to the error diagnosis after DataX stops running. 
+errorcode.config_error=Error in DataX engine configuration. This problem is generally caused by a DataX installation error. Please contact your O&M team to solve the problem. 
+errorcode.secret_error=Error in DataX engine encryption or decryption. This problem is generally caused by a DataX key configuration error. Please contact your O&M team to solve the problem. 
+errorcode.hook_load_error=Error in loading the external hook. This problem is generally caused by the DataX installation. 
+errorcode.hook_fail_error=Error in executing the external hook
+errorcode.plugin_install_error=Error in installing DataX plug-in. This problem is generally caused by a DataX installation error. Please contact your O&M team to solve the problem. 
+errorcode.plugin_not_found=Error in DataX plug-in configuration. This problem is generally caused by a DataX installation error. Please contact your O&M team to solve the problem. 
+errorcode.plugin_init_error=Error in DataX plug-in initialization. This problem is generally caused by a DataX installation error. Please contact your O&M team to solve the problem. 
+errorcode.plugin_runtime_error=The DataX plug-in encountered an error during running. For the specific cause, refer to the error diagnosis after DataX stops running. 
+errorcode.plugin_dirty_data_limit_exceed=The dirty data transmitted by DataX exceeds user expectations. This error often occurs when a lot dirty data exists in the source data. Please carefully check the dirty data log information reported by DataX, or you can tune up the dirty data threshold value. 
+errorcode.plugin_split_error=Error in DataX plug-in slicing. This problem is generally caused by a programming error in some DataX plug-in. Please contact the DataX developer team to solve the problem. 
+errorcode.kill_job_timeout_error=The kill task times out. Please contact the PE to solve the problem
+errorcode.start_taskgroup_error=Failed to start the task group. Please contact the DataX developer team to solve the problem
+errorcode.call_datax_service_failed=Error in requesting DataX Service.
+errorcode.call_remote_failed=Remote call failure
+errorcode.killed_exit_value=The job has received a Kill command.
+
+
+httpclientutil.1=Request address: {0}. Request method: {1}. STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=The remote interface returns -1. We will try again
+
+
+secretutil.1=System programing error. Unsupported encryption type
+secretutil.2=System programing error. Unsupported encryption type
+secretutil.3=RSA encryption error
+secretutil.4=RSA decryption error
+secretutil.5=Triple DES encryption error
+secretutil.6=RSA decryption error
+secretutil.7=Error in building Triple DES key
+secretutil.8=DataX configuration requires encryption and decryption, but unable to find the key configuration file
+secretutil.9=Error in reading the encryption and decryption configuration file
+secretutil.10=The version of the DataX-configured key is [{0}], but there is no configuration in the system. Error in task key configuration. The key version you configured does not exist
+secretutil.11=The version of the DataX-configured key is [{0}], but there is no configuration in the system. There may be an error in task key configuration, or a problem in system maintenance
+secretutil.12=The version of the DataX-configured key is [{0}], but there is no configuration in the system. Error in task key configuration. The key version you configured does not exist
+secretutil.13=The version of the DataX-configured key is [{0}], but there is no configuration in the system. There may be an error in task key configuration, or a problem in system maintenance
+secretutil.14=DataX configuration requires encryption and decryption, but some key in the configured key version [{0}] is empty
+secretutil.15=DataX configuration requires encryption and decryption, but some configured public/private key pairs are empty and the version is [{0}]
+secretutil.16=DataX configuration requires encryption and decryption, but the encryption and decryption configuration cannot be found
+

core/src/main/java/com/alibaba/datax/core/util/LocalStrings_ja_JP.properties

@@ -0,0 +1,58 @@
+configparser.1=\u63D2\u4EF6[{0},{1}]\u52A0\u8F7D\u5931\u8D25\uFF0C1s\u540E\u91CD\u8BD5... Exception:{2}
+configparser.2=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.3=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.4=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.5=\u63D2\u4EF6\u52A0\u8F7D\u5931\u8D25\uFF0C\u672A\u5B8C\u6210\u6307\u5B9A\u63D2\u4EF6\u52A0\u8F7D:{0}
+configparser.6=\u63D2\u4EF6\u52A0\u8F7D\u5931\u8D25,\u5B58\u5728\u91CD\u590D\u63D2\u4EF6:{0}
+
+dataxserviceutil.1=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38NoSuchAlgorithmException, [{0}]
+dataxserviceutil.2=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38InvalidKeyException, [{0}]
+dataxserviceutil.3=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38UnsupportedEncodingException, [{0}]
+
+errorrecordchecker.1=\u810F\u6570\u636E\u767E\u5206\u6BD4\u9650\u5236\u5E94\u8BE5\u5728[0.0, 1.0]\u4E4B\u95F4
+errorrecordchecker.2=\u810F\u6570\u636E\u6761\u6570\u73B0\u5728\u5E94\u8BE5\u4E3A\u975E\u8D1F\u6574\u6570
+errorrecordchecker.3=\u810F\u6570\u636E\u6761\u6570\u68C0\u67E5\u4E0D\u901A\u8FC7\uFF0C\u9650\u5236\u662F[{0}]\u6761\uFF0C\u4F46\u5B9E\u9645\u4E0A\u6355\u83B7\u4E86[{1}]\u6761.
+errorrecordchecker.4=\u810F\u6570\u636E\u767E\u5206\u6BD4\u68C0\u67E5\u4E0D\u901A\u8FC7\uFF0C\u9650\u5236\u662F[{0}]\uFF0C\u4F46\u5B9E\u9645\u4E0A\u6355\u83B7\u5230[{1}].
+
+
+errorcode.install_error=DataX\u5F15\u64CE\u5B89\u88C5\u9519\u8BEF, \u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.argument_error=DataX\u5F15\u64CE\u8FD0\u884C\u9519\u8BEF\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8E\u5185\u90E8\u7F16\u7A0B\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3 .
+errorcode.runtime_error=DataX\u5F15\u64CE\u8FD0\u884C\u8FC7\u7A0B\u51FA\u9519\uFF0C\u5177\u4F53\u539F\u56E0\u8BF7\u53C2\u770BDataX\u8FD0\u884C\u7ED3\u675F\u65F6\u7684\u9519\u8BEF\u8BCA\u65AD\u4FE1\u606F  .
+errorcode.config_error=DataX\u5F15\u64CE\u914D\u7F6E\u9519\u8BEF\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.secret_error=DataX\u5F15\u64CE\u52A0\u89E3\u5BC6\u51FA\u9519\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.hook_load_error=\u52A0\u8F7D\u5916\u90E8Hook\u51FA\u73B0\u9519\u8BEF\uFF0C\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u5F15\u8D77\u7684
+errorcode.hook_fail_error=\u6267\u884C\u5916\u90E8Hook\u51FA\u73B0\u9519\u8BEF
+errorcode.plugin_install_error=DataX\u63D2\u4EF6\u5B89\u88C5\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_not_found=DataX\u63D2\u4EF6\u914D\u7F6E\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_init_error=DataX\u63D2\u4EF6\u521D\u59CB\u5316\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_runtime_error=DataX\u63D2\u4EF6\u8FD0\u884C\u65F6\u51FA\u9519, \u5177\u4F53\u539F\u56E0\u8BF7\u53C2\u770BDataX\u8FD0\u884C\u7ED3\u675F\u65F6\u7684\u9519\u8BEF\u8BCA\u65AD\u4FE1\u606F .
+errorcode.plugin_dirty_data_limit_exceed=DataX\u4F20\u8F93\u810F\u6570\u636E\u8D85\u8FC7\u7528\u6237\u9884\u671F\uFF0C\u8BE5\u9519\u8BEF\u901A\u5E38\u662F\u7531\u4E8E\u6E90\u7AEF\u6570\u636E\u5B58\u5728\u8F83\u591A\u4E1A\u52A1\u810F\u6570\u636E\u5BFC\u81F4\uFF0C\u8BF7\u4ED4\u7EC6\u68C0\u67E5DataX\u6C47\u62A5\u7684\u810F\u6570\u636E\u65E5\u5FD7\u4FE1\u606F, \u6216\u8005\u60A8\u53EF\u4EE5\u9002\u5F53\u8C03\u5927\u810F\u6570\u636E\u9608\u503C .
+errorcode.plugin_split_error=DataX\u63D2\u4EF6\u5207\u5206\u51FA\u9519, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5404\u4E2A\u63D2\u4EF6\u7F16\u7A0B\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3
+errorcode.kill_job_timeout_error=kill \u4EFB\u52A1\u8D85\u65F6\uFF0C\u8BF7\u8054\u7CFBPE\u89E3\u51B3
+errorcode.start_taskgroup_error=taskGroup\u542F\u52A8\u5931\u8D25,\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3
+errorcode.call_datax_service_failed=\u8BF7\u6C42 DataX Service \u51FA\u9519.
+errorcode.call_remote_failed=\u8FDC\u7A0B\u8C03\u7528\u5931\u8D25
+errorcode.killed_exit_value=Job \u6536\u5230\u4E86 Kill \u547D\u4EE4.
+
+
+httpclientutil.1=\u8BF7\u6C42\u5730\u5740\uFF1A{0}, \u8BF7\u6C42\u65B9\u6CD5\uFF1A{1},STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=\u8FDC\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C06\u91CD\u8BD5
+
+
+secretutil.1=\u7CFB\u7EDF\u7F16\u7A0B\u9519\u8BEF,\u4E0D\u652F\u6301\u7684\u52A0\u5BC6\u7C7B\u578B
+secretutil.2=\u7CFB\u7EDF\u7F16\u7A0B\u9519\u8BEF,\u4E0D\u652F\u6301\u7684\u52A0\u5BC6\u7C7B\u578B
+secretutil.3=rsa\u52A0\u5BC6\u51FA\u9519
+secretutil.4=rsa\u89E3\u5BC6\u51FA\u9519
+secretutil.5=3\u91CDDES\u52A0\u5BC6\u51FA\u9519
+secretutil.6=rsa\u89E3\u5BC6\u51FA\u9519
+secretutil.7=\u6784\u5EFA\u4E09\u91CDDES\u5BC6\u5319\u51FA\u9519
+secretutil.8=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u65E0\u6CD5\u627E\u5230\u5BC6\u94A5\u7684\u914D\u7F6E\u6587\u4EF6
+secretutil.9=\u8BFB\u53D6\u52A0\u89E3\u5BC6\u914D\u7F6E\u6587\u4EF6\u51FA\u9519
+secretutil.10=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C
+secretutil.11=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7EDF\u7EF4\u62A4\u95EE\u9898
+secretutil.12=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C
+secretutil.13=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7EDF\u7EF4\u62A4\u95EE\u9898
+secretutil.14=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C[{0}]\u5B58\u5728\u5BC6\u94A5\u4E3A\u7A7A\u7684\u60C5\u51B5
+secretutil.15=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u516C\u79C1\u94A5\u5BF9\u5B58\u5728\u4E3A\u7A7A\u7684\u60C5\u51B5\uFF0C\u7248\u672C[{0}]
+secretutil.16=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u65E0\u6CD5\u627E\u5230\u52A0\u89E3\u5BC6\u914D\u7F6E
+

core/src/main/java/com/alibaba/datax/core/util/LocalStrings_zh_CN.properties

@@ -0,0 +1,58 @@
+configparser.1=\u63D2\u4EF6[{0},{1}]\u52A0\u8F7D\u5931\u8D25\uFF0C1s\u540E\u91CD\u8BD5... Exception:{2}
+configparser.2=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.3=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.4=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.5=\u63D2\u4EF6\u52A0\u8F7D\u5931\u8D25\uFF0C\u672A\u5B8C\u6210\u6307\u5B9A\u63D2\u4EF6\u52A0\u8F7D:{0}
+configparser.6=\u63D2\u4EF6\u52A0\u8F7D\u5931\u8D25,\u5B58\u5728\u91CD\u590D\u63D2\u4EF6:{0}
+
+dataxserviceutil.1=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38NoSuchAlgorithmException, [{0}]
+dataxserviceutil.2=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38InvalidKeyException, [{0}]
+dataxserviceutil.3=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38UnsupportedEncodingException, [{0}]
+
+errorrecordchecker.1=\u810F\u6570\u636E\u767E\u5206\u6BD4\u9650\u5236\u5E94\u8BE5\u5728[0.0, 1.0]\u4E4B\u95F4
+errorrecordchecker.2=\u810F\u6570\u636E\u6761\u6570\u73B0\u5728\u5E94\u8BE5\u4E3A\u975E\u8D1F\u6574\u6570
+errorrecordchecker.3=\u810F\u6570\u636E\u6761\u6570\u68C0\u67E5\u4E0D\u901A\u8FC7\uFF0C\u9650\u5236\u662F[{0}]\u6761\uFF0C\u4F46\u5B9E\u9645\u4E0A\u6355\u83B7\u4E86[{1}]\u6761.
+errorrecordchecker.4=\u810F\u6570\u636E\u767E\u5206\u6BD4\u68C0\u67E5\u4E0D\u901A\u8FC7\uFF0C\u9650\u5236\u662F[{0}]\uFF0C\u4F46\u5B9E\u9645\u4E0A\u6355\u83B7\u5230[{1}].
+
+
+errorcode.install_error=DataX\u5F15\u64CE\u5B89\u88C5\u9519\u8BEF, \u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.argument_error=DataX\u5F15\u64CE\u8FD0\u884C\u9519\u8BEF\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8E\u5185\u90E8\u7F16\u7A0B\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3 .
+errorcode.runtime_error=DataX\u5F15\u64CE\u8FD0\u884C\u8FC7\u7A0B\u51FA\u9519\uFF0C\u5177\u4F53\u539F\u56E0\u8BF7\u53C2\u770BDataX\u8FD0\u884C\u7ED3\u675F\u65F6\u7684\u9519\u8BEF\u8BCA\u65AD\u4FE1\u606F  .
+errorcode.config_error=DataX\u5F15\u64CE\u914D\u7F6E\u9519\u8BEF\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.secret_error=DataX\u5F15\u64CE\u52A0\u89E3\u5BC6\u51FA\u9519\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.hook_load_error=\u52A0\u8F7D\u5916\u90E8Hook\u51FA\u73B0\u9519\u8BEF\uFF0C\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u5F15\u8D77\u7684
+errorcode.hook_fail_error=\u6267\u884C\u5916\u90E8Hook\u51FA\u73B0\u9519\u8BEF
+errorcode.plugin_install_error=DataX\u63D2\u4EF6\u5B89\u88C5\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_not_found=DataX\u63D2\u4EF6\u914D\u7F6E\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_init_error=DataX\u63D2\u4EF6\u521D\u59CB\u5316\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_runtime_error=DataX\u63D2\u4EF6\u8FD0\u884C\u65F6\u51FA\u9519, \u5177\u4F53\u539F\u56E0\u8BF7\u53C2\u770BDataX\u8FD0\u884C\u7ED3\u675F\u65F6\u7684\u9519\u8BEF\u8BCA\u65AD\u4FE1\u606F .
+errorcode.plugin_dirty_data_limit_exceed=DataX\u4F20\u8F93\u810F\u6570\u636E\u8D85\u8FC7\u7528\u6237\u9884\u671F\uFF0C\u8BE5\u9519\u8BEF\u901A\u5E38\u662F\u7531\u4E8E\u6E90\u7AEF\u6570\u636E\u5B58\u5728\u8F83\u591A\u4E1A\u52A1\u810F\u6570\u636E\u5BFC\u81F4\uFF0C\u8BF7\u4ED4\u7EC6\u68C0\u67E5DataX\u6C47\u62A5\u7684\u810F\u6570\u636E\u65E5\u5FD7\u4FE1\u606F, \u6216\u8005\u60A8\u53EF\u4EE5\u9002\u5F53\u8C03\u5927\u810F\u6570\u636E\u9608\u503C .
+errorcode.plugin_split_error=DataX\u63D2\u4EF6\u5207\u5206\u51FA\u9519, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5404\u4E2A\u63D2\u4EF6\u7F16\u7A0B\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3
+errorcode.kill_job_timeout_error=kill \u4EFB\u52A1\u8D85\u65F6\uFF0C\u8BF7\u8054\u7CFBPE\u89E3\u51B3
+errorcode.start_taskgroup_error=taskGroup\u542F\u52A8\u5931\u8D25,\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3
+errorcode.call_datax_service_failed=\u8BF7\u6C42 DataX Service \u51FA\u9519.
+errorcode.call_remote_failed=\u8FDC\u7A0B\u8C03\u7528\u5931\u8D25
+errorcode.killed_exit_value=Job \u6536\u5230\u4E86 Kill \u547D\u4EE4.
+
+
+httpclientutil.1=\u8BF7\u6C42\u5730\u5740\uFF1A{0}, \u8BF7\u6C42\u65B9\u6CD5\uFF1A{1},STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=\u8FDC\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C06\u91CD\u8BD5
+
+
+secretutil.1=\u7CFB\u7EDF\u7F16\u7A0B\u9519\u8BEF,\u4E0D\u652F\u6301\u7684\u52A0\u5BC6\u7C7B\u578B
+secretutil.2=\u7CFB\u7EDF\u7F16\u7A0B\u9519\u8BEF,\u4E0D\u652F\u6301\u7684\u52A0\u5BC6\u7C7B\u578B
+secretutil.3=rsa\u52A0\u5BC6\u51FA\u9519
+secretutil.4=rsa\u89E3\u5BC6\u51FA\u9519
+secretutil.5=3\u91CDDES\u52A0\u5BC6\u51FA\u9519
+secretutil.6=rsa\u89E3\u5BC6\u51FA\u9519
+secretutil.7=\u6784\u5EFA\u4E09\u91CDDES\u5BC6\u5319\u51FA\u9519
+secretutil.8=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u65E0\u6CD5\u627E\u5230\u5BC6\u94A5\u7684\u914D\u7F6E\u6587\u4EF6
+secretutil.9=\u8BFB\u53D6\u52A0\u89E3\u5BC6\u914D\u7F6E\u6587\u4EF6\u51FA\u9519
+secretutil.10=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C
+secretutil.11=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7EDF\u7EF4\u62A4\u95EE\u9898
+secretutil.12=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C
+secretutil.13=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7EDF\u7EF4\u62A4\u95EE\u9898
+secretutil.14=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C[{0}]\u5B58\u5728\u5BC6\u94A5\u4E3A\u7A7A\u7684\u60C5\u51B5
+secretutil.15=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u516C\u79C1\u94A5\u5BF9\u5B58\u5728\u4E3A\u7A7A\u7684\u60C5\u51B5\uFF0C\u7248\u672C[{0}]
+secretutil.16=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u65E0\u6CD5\u627E\u5230\u52A0\u89E3\u5BC6\u914D\u7F6E
+

core/src/main/java/com/alibaba/datax/core/util/LocalStrings_zh_HK.properties

@@ -0,0 +1,116 @@
+configparser.1=\u63D2\u4EF6[{0},{1}]\u52A0\u8F7D\u5931\u8D25\uFF0C1s\u540E\u91CD\u8BD5... Exception:{2}
+configparser.2=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.3=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.4=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.5=\u63D2\u4EF6\u52A0\u8F7D\u5931\u8D25\uFF0C\u672A\u5B8C\u6210\u6307\u5B9A\u63D2\u4EF6\u52A0\u8F7D:{0}
+configparser.6=\u63D2\u4EF6\u52A0\u8F7D\u5931\u8D25,\u5B58\u5728\u91CD\u590D\u63D2\u4EF6:{0}
+
+dataxserviceutil.1=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38NoSuchAlgorithmException, [{0}]
+dataxserviceutil.2=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38InvalidKeyException, [{0}]
+dataxserviceutil.3=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38UnsupportedEncodingException, [{0}]
+
+errorrecordchecker.1=\u810F\u6570\u636E\u767E\u5206\u6BD4\u9650\u5236\u5E94\u8BE5\u5728[0.0, 1.0]\u4E4B\u95F4
+errorrecordchecker.2=\u810F\u6570\u636E\u6761\u6570\u73B0\u5728\u5E94\u8BE5\u4E3A\u975E\u8D1F\u6574\u6570
+errorrecordchecker.3=\u810F\u6570\u636E\u6761\u6570\u68C0\u67E5\u4E0D\u901A\u8FC7\uFF0C\u9650\u5236\u662F[{0}]\u6761\uFF0C\u4F46\u5B9E\u9645\u4E0A\u6355\u83B7\u4E86[{1}]\u6761.
+errorrecordchecker.4=\u810F\u6570\u636E\u767E\u5206\u6BD4\u68C0\u67E5\u4E0D\u901A\u8FC7\uFF0C\u9650\u5236\u662F[{0}]\uFF0C\u4F46\u5B9E\u9645\u4E0A\u6355\u83B7\u5230[{1}].
+
+
+errorcode.install_error=DataX\u5F15\u64CE\u5B89\u88C5\u9519\u8BEF, \u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.argument_error=DataX\u5F15\u64CE\u8FD0\u884C\u9519\u8BEF\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8E\u5185\u90E8\u7F16\u7A0B\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3 .
+errorcode.runtime_error=DataX\u5F15\u64CE\u8FD0\u884C\u8FC7\u7A0B\u51FA\u9519\uFF0C\u5177\u4F53\u539F\u56E0\u8BF7\u53C2\u770BDataX\u8FD0\u884C\u7ED3\u675F\u65F6\u7684\u9519\u8BEF\u8BCA\u65AD\u4FE1\u606F  .
+errorcode.config_error=DataX\u5F15\u64CE\u914D\u7F6E\u9519\u8BEF\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.secret_error=DataX\u5F15\u64CE\u52A0\u89E3\u5BC6\u51FA\u9519\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.hook_load_error=\u52A0\u8F7D\u5916\u90E8Hook\u51FA\u73B0\u9519\u8BEF\uFF0C\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u5F15\u8D77\u7684
+errorcode.hook_fail_error=\u6267\u884C\u5916\u90E8Hook\u51FA\u73B0\u9519\u8BEF
+errorcode.plugin_install_error=DataX\u63D2\u4EF6\u5B89\u88C5\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_not_found=DataX\u63D2\u4EF6\u914D\u7F6E\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_init_error=DataX\u63D2\u4EF6\u521D\u59CB\u5316\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_runtime_error=DataX\u63D2\u4EF6\u8FD0\u884C\u65F6\u51FA\u9519, \u5177\u4F53\u539F\u56E0\u8BF7\u53C2\u770BDataX\u8FD0\u884C\u7ED3\u675F\u65F6\u7684\u9519\u8BEF\u8BCA\u65AD\u4FE1\u606F .
+errorcode.plugin_dirty_data_limit_exceed=DataX\u4F20\u8F93\u810F\u6570\u636E\u8D85\u8FC7\u7528\u6237\u9884\u671F\uFF0C\u8BE5\u9519\u8BEF\u901A\u5E38\u662F\u7531\u4E8E\u6E90\u7AEF\u6570\u636E\u5B58\u5728\u8F83\u591A\u4E1A\u52A1\u810F\u6570\u636E\u5BFC\u81F4\uFF0C\u8BF7\u4ED4\u7EC6\u68C0\u67E5DataX\u6C47\u62A5\u7684\u810F\u6570\u636E\u65E5\u5FD7\u4FE1\u606F, \u6216\u8005\u60A8\u53EF\u4EE5\u9002\u5F53\u8C03\u5927\u810F\u6570\u636E\u9608\u503C .
+errorcode.plugin_split_error=DataX\u63D2\u4EF6\u5207\u5206\u51FA\u9519, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5404\u4E2A\u63D2\u4EF6\u7F16\u7A0B\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3
+errorcode.kill_job_timeout_error=kill \u4EFB\u52A1\u8D85\u65F6\uFF0C\u8BF7\u8054\u7CFBPE\u89E3\u51B3
+errorcode.start_taskgroup_error=taskGroup\u542F\u52A8\u5931\u8D25,\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3
+errorcode.call_datax_service_failed=\u8BF7\u6C42 DataX Service \u51FA\u9519.
+errorcode.call_remote_failed=\u8FDC\u7A0B\u8C03\u7528\u5931\u8D25
+errorcode.killed_exit_value=Job \u6536\u5230\u4E86 Kill \u547D\u4EE4.
+
+
+httpclientutil.1=\u8BF7\u6C42\u5730\u5740\uFF1A{0}, \u8BF7\u6C42\u65B9\u6CD5\uFF1A{1},STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=\u8FDC\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C06\u91CD\u8BD5
+
+
+secretutil.1=\u7CFB\u7EDF\u7F16\u7A0B\u9519\u8BEF,\u4E0D\u652F\u6301\u7684\u52A0\u5BC6\u7C7B\u578B
+secretutil.2=\u7CFB\u7EDF\u7F16\u7A0B\u9519\u8BEF,\u4E0D\u652F\u6301\u7684\u52A0\u5BC6\u7C7B\u578B
+secretutil.3=rsa\u52A0\u5BC6\u51FA\u9519
+secretutil.4=rsa\u89E3\u5BC6\u51FA\u9519
+secretutil.5=3\u91CDDES\u52A0\u5BC6\u51FA\u9519
+secretutil.6=rsa\u89E3\u5BC6\u51FA\u9519
+secretutil.7=\u6784\u5EFA\u4E09\u91CDDES\u5BC6\u5319\u51FA\u9519
+secretutil.8=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u65E0\u6CD5\u627E\u5230\u5BC6\u94A5\u7684\u914D\u7F6E\u6587\u4EF6
+secretutil.9=\u8BFB\u53D6\u52A0\u89E3\u5BC6\u914D\u7F6E\u6587\u4EF6\u51FA\u9519
+secretutil.10=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C
+secretutil.11=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7EDF\u7EF4\u62A4\u95EE\u9898
+secretutil.12=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C
+secretutil.13=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7EDF\u7EF4\u62A4\u95EE\u9898
+secretutil.14=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C[{0}]\u5B58\u5728\u5BC6\u94A5\u4E3A\u7A7A\u7684\u60C5\u51B5
+secretutil.15=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u516C\u79C1\u94A5\u5BF9\u5B58\u5728\u4E3A\u7A7A\u7684\u60C5\u51B5\uFF0C\u7248\u672C[{0}]
+secretutil.16=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u65E0\u6CD5\u627E\u5230\u52A0\u89E3\u5BC6\u914D\u7F6E
+
+configparser.1=\u5916\u639B\u7A0B\u5F0F[{0},{1}]\u8F09\u5165\u5931\u6557\uFF0C1s\u5F8C\u91CD\u8A66... Exception:{2}
+configparser.2=\u7372\u53D6\u4F5C\u696D\u914D\u7F6E\u8CC7\u8A0A\u5931\u6557:{0}
+configparser.3=\u7372\u53D6\u4F5C\u696D\u914D\u7F6E\u8CC7\u8A0A\u5931\u6557:{0}
+configparser.4=\u7372\u53D6\u4F5C\u696D\u914D\u7F6E\u8CC7\u8A0A\u5931\u6557:{0}
+configparser.5=\u5916\u639B\u7A0B\u5F0F\u8F09\u5165\u5931\u6557\uFF0C\u672A\u5B8C\u6210\u6307\u5B9A\u5916\u639B\u7A0B\u5F0F\u8F09\u5165:{0}
+configparser.6=\u5916\u639B\u7A0B\u5F0F\u8F09\u5165\u5931\u6557,\u5B58\u5728\u91CD\u8907\u5916\u639B\u7A0B\u5F0F:{0}
+
+dataxserviceutil.1=\u5EFA\u7ACB\u7C3D\u540D\u7570\u5E38NoSuchAlgorithmException, [{0}]
+dataxserviceutil.2=\u5EFA\u7ACB\u7C3D\u540D\u7570\u5E38InvalidKeyException, [{0}]
+dataxserviceutil.3=\u5EFA\u7ACB\u7C3D\u540D\u7570\u5E38UnsupportedEncodingException, [{0}]
+
+errorrecordchecker.1=\u9AD2\u6578\u64DA\u767E\u5206\u6BD4\u9650\u5236\u61C9\u8A72\u5728[0.0, 1.0]\u4E4B\u9593
+errorrecordchecker.2=\u9AD2\u6578\u64DA\u689D\u6578\u73FE\u5728\u61C9\u8A72\u70BA\u975E\u8CA0\u6574\u6578
+errorrecordchecker.3=\u9AD2\u6578\u64DA\u689D\u6578\u6AA2\u67E5\u4E0D\u901A\u904E\uFF0C\u9650\u5236\u662F[{0}]\u689D\uFF0C\u4F46\u5BE6\u969B\u4E0A\u6355\u7372\u4E86[{1}]\u689D.
+errorrecordchecker.4=\u9AD2\u6578\u64DA\u767E\u5206\u6BD4\u6AA2\u67E5\u4E0D\u901A\u904E\uFF0C\u9650\u5236\u662F[{0}]\uFF0C\u4F46\u5BE6\u969B\u4E0A\u6355\u7372\u5230[{1}].
+
+
+errorcode.install_error=DataX\u5F15\u64CE\u5B89\u88DD\u932F\u8AA4, \u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.argument_error=DataX\u5F15\u64CE\u904B\u884C\u932F\u8AA4\uFF0C\u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BC\u5167\u90E8\u7DE8\u7A0B\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61DataX\u958B\u767C\u5718\u968A\u89E3\u6C7A .
+errorcode.runtime_error=DataX\u5F15\u64CE\u904B\u884C\u904E\u7A0B\u51FA\u932F\uFF0C\u5177\u9AD4\u539F\u56E0\u8ACB\u53C3\u770BDataX\u904B\u884C\u7D50\u675F\u6642\u7684\u932F\u8AA4\u8A3A\u65B7\u8CC7\u8A0A  .
+errorcode.config_error=DataX\u5F15\u64CE\u914D\u7F6E\u932F\u8AA4\uFF0C\u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5B89\u88DD\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.secret_error=DataX\u5F15\u64CE\u52A0\u89E3\u5BC6\u51FA\u932F\uFF0C\u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5BC6\u9470\u914D\u7F6E\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.hook_load_error=\u8F09\u5165\u5916\u90E8Hook\u51FA\u73FE\u932F\u8AA4\uFF0C\u901A\u5E38\u662F\u7531\u65BCDataX\u5B89\u88DD\u5F15\u8D77\u7684
+errorcode.hook_fail_error=\u57F7\u884C\u5916\u90E8Hook\u51FA\u73FE\u932F\u8AA4
+errorcode.plugin_install_error=DataX\u5916\u639B\u7A0B\u5F0F\u5B89\u88DD\u932F\u8AA4, \u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5B89\u88DD\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.plugin_not_found=DataX\u5916\u639B\u7A0B\u5F0F\u914D\u7F6E\u932F\u8AA4, \u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5B89\u88DD\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.plugin_init_error=DataX\u5916\u639B\u7A0B\u5F0F\u521D\u59CB\u5316\u932F\u8AA4, \u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5B89\u88DD\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.plugin_runtime_error=DataX\u5916\u639B\u7A0B\u5F0F\u904B\u884C\u6642\u51FA\u932F, \u5177\u9AD4\u539F\u56E0\u8ACB\u53C3\u770BDataX\u904B\u884C\u7D50\u675F\u6642\u7684\u932F\u8AA4\u8A3A\u65B7\u8CC7\u8A0A .
+errorcode.plugin_dirty_data_limit_exceed=DataX\u50B3\u8F38\u9AD2\u6578\u64DA\u8D85\u904E\u7528\u6236\u9810\u671F\uFF0C\u8A72\u932F\u8AA4\u901A\u5E38\u662F\u7531\u65BC\u6E90\u7AEF\u6578\u64DA\u5B58\u5728\u8F03\u591A\u696D\u52D9\u9AD2\u6578\u64DA\u5C0E\u81F4\uFF0C\u8ACB\u4ED4\u7D30\u6AA2\u67E5DataX\u5F59\u5831\u7684\u9AD2\u6578\u64DA\u65E5\u8A8C\u8CC7\u8A0A, \u6216\u8005\u60A8\u53EF\u4EE5\u9069\u7576\u8ABF\u5927\u9AD2\u6578\u64DA\u95BE\u503C .
+errorcode.plugin_split_error=DataX\u5916\u639B\u7A0B\u5F0F\u5207\u5206\u51FA\u932F, \u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5404\u500B\u5916\u639B\u7A0B\u5F0F\u7DE8\u7A0B\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61DataX\u958B\u767C\u5718\u968A\u89E3\u6C7A
+errorcode.kill_job_timeout_error=kill \u4EFB\u52D9\u903E\u6642\uFF0C\u8ACB\u806F\u7D61PE\u89E3\u6C7A
+errorcode.start_taskgroup_error=taskGroup\u555F\u52D5\u5931\u6557,\u8ACB\u806F\u7D61DataX\u958B\u767C\u5718\u968A\u89E3\u6C7A
+errorcode.call_datax_service_failed=\u8ACB\u6C42 DataX Service \u51FA\u932F.
+errorcode.call_remote_failed=\u9060\u7A0B\u8ABF\u7528\u5931\u6557
+errorcode.killed_exit_value=Job \u6536\u5230\u4E86 Kill \u547D\u4EE4.
+
+
+httpclientutil.1=\u8ACB\u6C42\u5730\u5740\uFF1A{0}, \u8ACB\u6C42\u65B9\u6CD5\uFF1A{1},STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=\u9060\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C07\u91CD\u8A66
+
+
+secretutil.1=\u7CFB\u7D71\u7DE8\u7A0B\u932F\u8AA4,\u4E0D\u652F\u63F4\u7684\u52A0\u5BC6\u985E\u578B
+secretutil.2=\u7CFB\u7D71\u7DE8\u7A0B\u932F\u8AA4,\u4E0D\u652F\u63F4\u7684\u52A0\u5BC6\u985E\u578B
+secretutil.3=rsa\u52A0\u5BC6\u51FA\u932F
+secretutil.4=rsa\u89E3\u5BC6\u51FA\u932F
+secretutil.5=3\u91CDDES\u52A0\u5BC6\u51FA\u932F
+secretutil.6=rsa\u89E3\u5BC6\u51FA\u932F
+secretutil.7=\u69CB\u5EFA\u4E09\u91CDDES\u5BC6\u5319\u51FA\u932F
+secretutil.8=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u7121\u6CD5\u627E\u5230\u5BC6\u9470\u7684\u914D\u7F6E\u6A94\u6848
+secretutil.9=\u8B80\u53D6\u52A0\u89E3\u5BC6\u914D\u7F6E\u6A94\u6848\u51FA\u932F
+secretutil.10=DataX\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C\u70BA[{0}]\uFF0C\u4F46\u5728\u7CFB\u7D71\u4E2D\u6C92\u6709\u914D\u7F6E\uFF0C\u4EFB\u52D9\u5BC6\u9470\u914D\u7F6E\u932F\u8AA4\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C
+secretutil.11=DataX\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C\u70BA[{0}]\uFF0C\u4F46\u5728\u7CFB\u7D71\u4E2D\u6C92\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52D9\u5BC6\u9470\u914D\u7F6E\u932F\u8AA4\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7D71\u7DAD\u8B77\u554F\u984C
+secretutil.12=DataX\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C\u70BA[{0}]\uFF0C\u4F46\u5728\u7CFB\u7D71\u4E2D\u6C92\u6709\u914D\u7F6E\uFF0C\u4EFB\u52D9\u5BC6\u9470\u914D\u7F6E\u932F\u8AA4\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C
+secretutil.13=DataX\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C\u70BA[{0}]\uFF0C\u4F46\u5728\u7CFB\u7D71\u4E2D\u6C92\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52D9\u5BC6\u9470\u914D\u7F6E\u932F\u8AA4\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7D71\u7DAD\u8B77\u554F\u984C
+secretutil.14=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C[{0}]\u5B58\u5728\u5BC6\u9470\u70BA\u7A7A\u7684\u60C5\u6CC1
+secretutil.15=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u516C\u79C1\u9470\u5C0D\u5B58\u5728\u70BA\u7A7A\u7684\u60C5\u6CC1\uFF0C\u7248\u672C[{0}]
+secretutil.16=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u7121\u6CD5\u627E\u5230\u52A0\u89E3\u5BC6\u914D\u7F6E
+

core/src/main/java/com/alibaba/datax/core/util/LocalStrings_zh_TW.properties

@@ -0,0 +1,116 @@
+configparser.1=\u63D2\u4EF6[{0},{1}]\u52A0\u8F7D\u5931\u8D25\uFF0C1s\u540E\u91CD\u8BD5... Exception:{2}
+configparser.2=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.3=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.4=\u83B7\u53D6\u4F5C\u4E1A\u914D\u7F6E\u4FE1\u606F\u5931\u8D25:{0}
+configparser.5=\u63D2\u4EF6\u52A0\u8F7D\u5931\u8D25\uFF0C\u672A\u5B8C\u6210\u6307\u5B9A\u63D2\u4EF6\u52A0\u8F7D:{0}
+configparser.6=\u63D2\u4EF6\u52A0\u8F7D\u5931\u8D25,\u5B58\u5728\u91CD\u590D\u63D2\u4EF6:{0}
+
+dataxserviceutil.1=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38NoSuchAlgorithmException, [{0}]
+dataxserviceutil.2=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38InvalidKeyException, [{0}]
+dataxserviceutil.3=\u521B\u5EFA\u7B7E\u540D\u5F02\u5E38UnsupportedEncodingException, [{0}]
+
+errorrecordchecker.1=\u810F\u6570\u636E\u767E\u5206\u6BD4\u9650\u5236\u5E94\u8BE5\u5728[0.0, 1.0]\u4E4B\u95F4
+errorrecordchecker.2=\u810F\u6570\u636E\u6761\u6570\u73B0\u5728\u5E94\u8BE5\u4E3A\u975E\u8D1F\u6574\u6570
+errorrecordchecker.3=\u810F\u6570\u636E\u6761\u6570\u68C0\u67E5\u4E0D\u901A\u8FC7\uFF0C\u9650\u5236\u662F[{0}]\u6761\uFF0C\u4F46\u5B9E\u9645\u4E0A\u6355\u83B7\u4E86[{1}]\u6761.
+errorrecordchecker.4=\u810F\u6570\u636E\u767E\u5206\u6BD4\u68C0\u67E5\u4E0D\u901A\u8FC7\uFF0C\u9650\u5236\u662F[{0}]\uFF0C\u4F46\u5B9E\u9645\u4E0A\u6355\u83B7\u5230[{1}].
+
+
+errorcode.install_error=DataX\u5F15\u64CE\u5B89\u88C5\u9519\u8BEF, \u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.argument_error=DataX\u5F15\u64CE\u8FD0\u884C\u9519\u8BEF\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8E\u5185\u90E8\u7F16\u7A0B\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3 .
+errorcode.runtime_error=DataX\u5F15\u64CE\u8FD0\u884C\u8FC7\u7A0B\u51FA\u9519\uFF0C\u5177\u4F53\u539F\u56E0\u8BF7\u53C2\u770BDataX\u8FD0\u884C\u7ED3\u675F\u65F6\u7684\u9519\u8BEF\u8BCA\u65AD\u4FE1\u606F  .
+errorcode.config_error=DataX\u5F15\u64CE\u914D\u7F6E\u9519\u8BEF\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.secret_error=DataX\u5F15\u64CE\u52A0\u89E3\u5BC6\u51FA\u9519\uFF0C\u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.hook_load_error=\u52A0\u8F7D\u5916\u90E8Hook\u51FA\u73B0\u9519\u8BEF\uFF0C\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u5F15\u8D77\u7684
+errorcode.hook_fail_error=\u6267\u884C\u5916\u90E8Hook\u51FA\u73B0\u9519\u8BEF
+errorcode.plugin_install_error=DataX\u63D2\u4EF6\u5B89\u88C5\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_not_found=DataX\u63D2\u4EF6\u914D\u7F6E\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_init_error=DataX\u63D2\u4EF6\u521D\u59CB\u5316\u9519\u8BEF, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5B89\u88C5\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFB\u60A8\u7684\u8FD0\u7EF4\u89E3\u51B3 .
+errorcode.plugin_runtime_error=DataX\u63D2\u4EF6\u8FD0\u884C\u65F6\u51FA\u9519, \u5177\u4F53\u539F\u56E0\u8BF7\u53C2\u770BDataX\u8FD0\u884C\u7ED3\u675F\u65F6\u7684\u9519\u8BEF\u8BCA\u65AD\u4FE1\u606F .
+errorcode.plugin_dirty_data_limit_exceed=DataX\u4F20\u8F93\u810F\u6570\u636E\u8D85\u8FC7\u7528\u6237\u9884\u671F\uFF0C\u8BE5\u9519\u8BEF\u901A\u5E38\u662F\u7531\u4E8E\u6E90\u7AEF\u6570\u636E\u5B58\u5728\u8F83\u591A\u4E1A\u52A1\u810F\u6570\u636E\u5BFC\u81F4\uFF0C\u8BF7\u4ED4\u7EC6\u68C0\u67E5DataX\u6C47\u62A5\u7684\u810F\u6570\u636E\u65E5\u5FD7\u4FE1\u606F, \u6216\u8005\u60A8\u53EF\u4EE5\u9002\u5F53\u8C03\u5927\u810F\u6570\u636E\u9608\u503C .
+errorcode.plugin_split_error=DataX\u63D2\u4EF6\u5207\u5206\u51FA\u9519, \u8BE5\u95EE\u9898\u901A\u5E38\u662F\u7531\u4E8EDataX\u5404\u4E2A\u63D2\u4EF6\u7F16\u7A0B\u9519\u8BEF\u5F15\u8D77\uFF0C\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3
+errorcode.kill_job_timeout_error=kill \u4EFB\u52A1\u8D85\u65F6\uFF0C\u8BF7\u8054\u7CFBPE\u89E3\u51B3
+errorcode.start_taskgroup_error=taskGroup\u542F\u52A8\u5931\u8D25,\u8BF7\u8054\u7CFBDataX\u5F00\u53D1\u56E2\u961F\u89E3\u51B3
+errorcode.call_datax_service_failed=\u8BF7\u6C42 DataX Service \u51FA\u9519.
+errorcode.call_remote_failed=\u8FDC\u7A0B\u8C03\u7528\u5931\u8D25
+errorcode.killed_exit_value=Job \u6536\u5230\u4E86 Kill \u547D\u4EE4.
+
+
+httpclientutil.1=\u8BF7\u6C42\u5730\u5740\uFF1A{0}, \u8BF7\u6C42\u65B9\u6CD5\uFF1A{1},STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=\u8FDC\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C06\u91CD\u8BD5
+
+
+secretutil.1=\u7CFB\u7EDF\u7F16\u7A0B\u9519\u8BEF,\u4E0D\u652F\u6301\u7684\u52A0\u5BC6\u7C7B\u578B
+secretutil.2=\u7CFB\u7EDF\u7F16\u7A0B\u9519\u8BEF,\u4E0D\u652F\u6301\u7684\u52A0\u5BC6\u7C7B\u578B
+secretutil.3=rsa\u52A0\u5BC6\u51FA\u9519
+secretutil.4=rsa\u89E3\u5BC6\u51FA\u9519
+secretutil.5=3\u91CDDES\u52A0\u5BC6\u51FA\u9519
+secretutil.6=rsa\u89E3\u5BC6\u51FA\u9519
+secretutil.7=\u6784\u5EFA\u4E09\u91CDDES\u5BC6\u5319\u51FA\u9519
+secretutil.8=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u65E0\u6CD5\u627E\u5230\u5BC6\u94A5\u7684\u914D\u7F6E\u6587\u4EF6
+secretutil.9=\u8BFB\u53D6\u52A0\u89E3\u5BC6\u914D\u7F6E\u6587\u4EF6\u51FA\u9519
+secretutil.10=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C
+secretutil.11=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7EDF\u7EF4\u62A4\u95EE\u9898
+secretutil.12=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C
+secretutil.13=DataX\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C\u4E3A[{0}]\uFF0C\u4F46\u5728\u7CFB\u7EDF\u4E2D\u6CA1\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52A1\u5BC6\u94A5\u914D\u7F6E\u9519\u8BEF\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7EDF\u7EF4\u62A4\u95EE\u9898
+secretutil.14=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u5BC6\u94A5\u7248\u672C[{0}]\u5B58\u5728\u5BC6\u94A5\u4E3A\u7A7A\u7684\u60C5\u51B5
+secretutil.15=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u516C\u79C1\u94A5\u5BF9\u5B58\u5728\u4E3A\u7A7A\u7684\u60C5\u51B5\uFF0C\u7248\u672C[{0}]
+secretutil.16=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u65E0\u6CD5\u627E\u5230\u52A0\u89E3\u5BC6\u914D\u7F6E
+
+configparser.1=\u5916\u639B\u7A0B\u5F0F[{0},{1}]\u8F09\u5165\u5931\u6557\uFF0C1s\u5F8C\u91CD\u8A66... Exception:{2}
+configparser.2=\u7372\u53D6\u4F5C\u696D\u914D\u7F6E\u8CC7\u8A0A\u5931\u6557:{0}
+configparser.3=\u7372\u53D6\u4F5C\u696D\u914D\u7F6E\u8CC7\u8A0A\u5931\u6557:{0}
+configparser.4=\u7372\u53D6\u4F5C\u696D\u914D\u7F6E\u8CC7\u8A0A\u5931\u6557:{0}
+configparser.5=\u5916\u639B\u7A0B\u5F0F\u8F09\u5165\u5931\u6557\uFF0C\u672A\u5B8C\u6210\u6307\u5B9A\u5916\u639B\u7A0B\u5F0F\u8F09\u5165:{0}
+configparser.6=\u5916\u639B\u7A0B\u5F0F\u8F09\u5165\u5931\u6557,\u5B58\u5728\u91CD\u8907\u5916\u639B\u7A0B\u5F0F:{0}
+
+dataxserviceutil.1=\u5EFA\u7ACB\u7C3D\u540D\u7570\u5E38NoSuchAlgorithmException, [{0}]
+dataxserviceutil.2=\u5EFA\u7ACB\u7C3D\u540D\u7570\u5E38InvalidKeyException, [{0}]
+dataxserviceutil.3=\u5EFA\u7ACB\u7C3D\u540D\u7570\u5E38UnsupportedEncodingException, [{0}]
+
+errorrecordchecker.1=\u9AD2\u6578\u64DA\u767E\u5206\u6BD4\u9650\u5236\u61C9\u8A72\u5728[0.0, 1.0]\u4E4B\u9593
+errorrecordchecker.2=\u9AD2\u6578\u64DA\u689D\u6578\u73FE\u5728\u61C9\u8A72\u70BA\u975E\u8CA0\u6574\u6578
+errorrecordchecker.3=\u9AD2\u6578\u64DA\u689D\u6578\u6AA2\u67E5\u4E0D\u901A\u904E\uFF0C\u9650\u5236\u662F[{0}]\u689D\uFF0C\u4F46\u5BE6\u969B\u4E0A\u6355\u7372\u4E86[{1}]\u689D.
+errorrecordchecker.4=\u9AD2\u6578\u64DA\u767E\u5206\u6BD4\u6AA2\u67E5\u4E0D\u901A\u904E\uFF0C\u9650\u5236\u662F[{0}]\uFF0C\u4F46\u5BE6\u969B\u4E0A\u6355\u7372\u5230[{1}].
+
+
+errorcode.install_error=DataX\u5F15\u64CE\u5B89\u88DD\u932F\u8AA4, \u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.argument_error=DataX\u5F15\u64CE\u904B\u884C\u932F\u8AA4\uFF0C\u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BC\u5167\u90E8\u7DE8\u7A0B\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61DataX\u958B\u767C\u5718\u968A\u89E3\u6C7A .
+errorcode.runtime_error=DataX\u5F15\u64CE\u904B\u884C\u904E\u7A0B\u51FA\u932F\uFF0C\u5177\u9AD4\u539F\u56E0\u8ACB\u53C3\u770BDataX\u904B\u884C\u7D50\u675F\u6642\u7684\u932F\u8AA4\u8A3A\u65B7\u8CC7\u8A0A  .
+errorcode.config_error=DataX\u5F15\u64CE\u914D\u7F6E\u932F\u8AA4\uFF0C\u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5B89\u88DD\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.secret_error=DataX\u5F15\u64CE\u52A0\u89E3\u5BC6\u51FA\u932F\uFF0C\u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5BC6\u9470\u914D\u7F6E\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.hook_load_error=\u8F09\u5165\u5916\u90E8Hook\u51FA\u73FE\u932F\u8AA4\uFF0C\u901A\u5E38\u662F\u7531\u65BCDataX\u5B89\u88DD\u5F15\u8D77\u7684
+errorcode.hook_fail_error=\u57F7\u884C\u5916\u90E8Hook\u51FA\u73FE\u932F\u8AA4
+errorcode.plugin_install_error=DataX\u5916\u639B\u7A0B\u5F0F\u5B89\u88DD\u932F\u8AA4, \u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5B89\u88DD\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.plugin_not_found=DataX\u5916\u639B\u7A0B\u5F0F\u914D\u7F6E\u932F\u8AA4, \u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5B89\u88DD\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.plugin_init_error=DataX\u5916\u639B\u7A0B\u5F0F\u521D\u59CB\u5316\u932F\u8AA4, \u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5B89\u88DD\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61\u60A8\u7684\u904B\u7DAD\u89E3\u6C7A .
+errorcode.plugin_runtime_error=DataX\u5916\u639B\u7A0B\u5F0F\u904B\u884C\u6642\u51FA\u932F, \u5177\u9AD4\u539F\u56E0\u8ACB\u53C3\u770BDataX\u904B\u884C\u7D50\u675F\u6642\u7684\u932F\u8AA4\u8A3A\u65B7\u8CC7\u8A0A .
+errorcode.plugin_dirty_data_limit_exceed=DataX\u50B3\u8F38\u9AD2\u6578\u64DA\u8D85\u904E\u7528\u6236\u9810\u671F\uFF0C\u8A72\u932F\u8AA4\u901A\u5E38\u662F\u7531\u65BC\u6E90\u7AEF\u6578\u64DA\u5B58\u5728\u8F03\u591A\u696D\u52D9\u9AD2\u6578\u64DA\u5C0E\u81F4\uFF0C\u8ACB\u4ED4\u7D30\u6AA2\u67E5DataX\u5F59\u5831\u7684\u9AD2\u6578\u64DA\u65E5\u8A8C\u8CC7\u8A0A, \u6216\u8005\u60A8\u53EF\u4EE5\u9069\u7576\u8ABF\u5927\u9AD2\u6578\u64DA\u95BE\u503C .
+errorcode.plugin_split_error=DataX\u5916\u639B\u7A0B\u5F0F\u5207\u5206\u51FA\u932F, \u8A72\u554F\u984C\u901A\u5E38\u662F\u7531\u65BCDataX\u5404\u500B\u5916\u639B\u7A0B\u5F0F\u7DE8\u7A0B\u932F\u8AA4\u5F15\u8D77\uFF0C\u8ACB\u806F\u7D61DataX\u958B\u767C\u5718\u968A\u89E3\u6C7A
+errorcode.kill_job_timeout_error=kill \u4EFB\u52D9\u903E\u6642\uFF0C\u8ACB\u806F\u7D61PE\u89E3\u6C7A
+errorcode.start_taskgroup_error=taskGroup\u555F\u52D5\u5931\u6557,\u8ACB\u806F\u7D61DataX\u958B\u767C\u5718\u968A\u89E3\u6C7A
+errorcode.call_datax_service_failed=\u8ACB\u6C42 DataX Service \u51FA\u932F.
+errorcode.call_remote_failed=\u9060\u7A0B\u8ABF\u7528\u5931\u6557
+errorcode.killed_exit_value=Job \u6536\u5230\u4E86 Kill \u547D\u4EE4.
+
+
+httpclientutil.1=\u8ACB\u6C42\u5730\u5740\uFF1A{0}, \u8ACB\u6C42\u65B9\u6CD5\uFF1A{1},STATUS CODE = {2}, Response Entity: {3}
+httpclientutil.2=\u9060\u7A0B\u63A5\u53E3\u8FD4\u56DE-1,\u5C07\u91CD\u8A66
+
+
+secretutil.1=\u7CFB\u7D71\u7DE8\u7A0B\u932F\u8AA4,\u4E0D\u652F\u63F4\u7684\u52A0\u5BC6\u985E\u578B
+secretutil.2=\u7CFB\u7D71\u7DE8\u7A0B\u932F\u8AA4,\u4E0D\u652F\u63F4\u7684\u52A0\u5BC6\u985E\u578B
+secretutil.3=rsa\u52A0\u5BC6\u51FA\u932F
+secretutil.4=rsa\u89E3\u5BC6\u51FA\u932F
+secretutil.5=3\u91CDDES\u52A0\u5BC6\u51FA\u932F
+secretutil.6=rsa\u89E3\u5BC6\u51FA\u932F
+secretutil.7=\u69CB\u5EFA\u4E09\u91CDDES\u5BC6\u5319\u51FA\u932F
+secretutil.8=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u7121\u6CD5\u627E\u5230\u5BC6\u9470\u7684\u914D\u7F6E\u6A94\u6848
+secretutil.9=\u8B80\u53D6\u52A0\u89E3\u5BC6\u914D\u7F6E\u6A94\u6848\u51FA\u932F
+secretutil.10=DataX\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C\u70BA[{0}]\uFF0C\u4F46\u5728\u7CFB\u7D71\u4E2D\u6C92\u6709\u914D\u7F6E\uFF0C\u4EFB\u52D9\u5BC6\u9470\u914D\u7F6E\u932F\u8AA4\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C
+secretutil.11=DataX\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C\u70BA[{0}]\uFF0C\u4F46\u5728\u7CFB\u7D71\u4E2D\u6C92\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52D9\u5BC6\u9470\u914D\u7F6E\u932F\u8AA4\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7D71\u7DAD\u8B77\u554F\u984C
+secretutil.12=DataX\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C\u70BA[{0}]\uFF0C\u4F46\u5728\u7CFB\u7D71\u4E2D\u6C92\u6709\u914D\u7F6E\uFF0C\u4EFB\u52D9\u5BC6\u9470\u914D\u7F6E\u932F\u8AA4\uFF0C\u4E0D\u5B58\u5728\u60A8\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C
+secretutil.13=DataX\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C\u70BA[{0}]\uFF0C\u4F46\u5728\u7CFB\u7D71\u4E2D\u6C92\u6709\u914D\u7F6E\uFF0C\u53EF\u80FD\u662F\u4EFB\u52D9\u5BC6\u9470\u914D\u7F6E\u932F\u8AA4\uFF0C\u4E5F\u53EF\u80FD\u662F\u7CFB\u7D71\u7DAD\u8B77\u554F\u984C
+secretutil.14=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u5BC6\u9470\u7248\u672C[{0}]\u5B58\u5728\u5BC6\u9470\u70BA\u7A7A\u7684\u60C5\u6CC1
+secretutil.15=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u914D\u7F6E\u7684\u516C\u79C1\u9470\u5C0D\u5B58\u5728\u70BA\u7A7A\u7684\u60C5\u6CC1\uFF0C\u7248\u672C[{0}]
+secretutil.16=DataX\u914D\u7F6E\u8981\u6C42\u52A0\u89E3\u5BC6\uFF0C\u4F46\u7121\u6CD5\u627E\u5230\u52A0\u89E3\u5BC6\u914D\u7F6E
+

drdsreader/doc/drdsreader.md

@@ -50,7 +50,7 @@ DRDS的插件目前DataX只适配了Mysql引擎的场景，DRDS对于DataX而言
                         // 数据库连接密码
                         "password": "root",
                         "column": [
-                            "id"，"name"
+                            "id","name"
                         ],
                         "connection": [
                             {

drdsreader/pom.xml

@@ -42,7 +42,7 @@
         <dependency>
 		    <groupId>mysql</groupId>
 		    <artifactId>mysql-connector-java</artifactId>
-		    <version>5.1.34</version>
+		    <version>${mysql.driver.version}</version>
 		</dependency>
 
 

drdswriter/pom.xml

@@ -44,7 +44,7 @@
         <dependency>
             <groupId>mysql</groupId>
             <artifactId>mysql-connector-java</artifactId>
-            <version>5.1.34</version>
+            <version>${mysql.driver.version}</version>
         </dependency>
     </dependencies>
 

elasticsearchwriter/pom.xml

@@ -50,7 +50,7 @@
         <dependency>
             <groupId>junit</groupId>
             <artifactId>junit</artifactId>
-            <version>4.11</version>
+            <version>4.13.1</version>
             <scope>test</scope>
         </dependency>
     </dependencies>

hbase11xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase11xsqlreader/HbaseSQLHelper.java

@@ -34,6 +34,14 @@ import java.util.Map;
 public class HbaseSQLHelper {
     private static final Logger LOG = LoggerFactory.getLogger(HbaseSQLHelper.class);
 
+    static {
+        try {
+            Class.forName("org.apache.phoenix.jdbc.PhoenixDriver");
+        } catch (Throwable t) {
+            throw new RuntimeException("faild load org.apache.phoenix.jdbc.PhoenixDriver", t);
+        }
+    }
+
     public static org.apache.hadoop.conf.Configuration generatePhoenixConf(HbaseSQLReaderConfig readerConfig) {
         org.apache.hadoop.conf.Configuration conf = new org.apache.hadoop.conf.Configuration();
 

hbase11xsqlreader/src/main/resources/plugin.json

@@ -2,6 +2,6 @@
     "name": "hbase11xsqlreader",
     "class": "com.alibaba.datax.plugin.reader.hbase11xsqlreader.HbaseSQLReader",
     "description": "useScene: prod. mechanism: Scan to read data.",
-    "developer": "liwei.li, bug reported to : liwei.li@alibaba-inc.com"
+    "developer": "alibaba"
 }
 

hbase11xwriter/doc/hbase11xwriter.md

@@ -203,19 +203,20 @@ HbaseWriter 插件实现了从向Hbase中写取数据。在底层实现上，Hba
 	* 描述：要写入的hbase字段。index：指定该列对应reader端column的索引，从0开始；name：指定hbase表中的列，必须为 列族:列名 的格式；type：指定写入数据类型，用于转换HBase byte[]。配置格式如下：
 	
 	```
-"column": [
-              {
-                "index":1,
-                "name": "cf1:q1",
-                "type": "string"
-              },
-              {
-                "index":2,
-                "name": "cf1:q2",
-                "type": "string"
-              }
-           ］ 	
-		            
+
+	"column": [
+		      {
+			"index":1,
+			"name": "cf1:q1",
+			"type": "string"
+		      },
+		      {
+			"index":2,
+			"name": "cf1:q2",
+			"type": "string"
+		      }
+		   ］ 	
+
 	```
 
 	* 必选：是<br />
@@ -227,17 +228,17 @@ HbaseWriter 插件实现了从向Hbase中写取数据。在底层实现上，Hba
 	* 描述：要写入的hbase的rowkey列。index：指定该列对应reader端column的索引，从0开始，若为常量index为－1；type：指定写入数据类型，用于转换HBase byte[]；value：配置常量，常作为多个字段的拼接符。hbasewriter会将rowkeyColumn中所有列按照配置顺序进行拼接作为写入hbase的rowkey，不能全为常量。配置格式如下：
 	
 	```
-"rowkeyColumn": [
-                {
-                  "index":0,
-                  "type":"string"
-                },
-                {
-                  "index":-1,
-                  "type":"string",
-                  "value":"_"
-                }
-            ] 	
+	"rowkeyColumn": [
+			{
+			  "index":0,
+			  "type":"string"
+			},
+			{
+			  "index":-1,
+			  "type":"string",
+			  "value":"_"
+			}
+		    ] 	
 		            
 	```
 
@@ -250,19 +251,19 @@ HbaseWriter 插件实现了从向Hbase中写取数据。在底层实现上，Hba
 	* 描述：指定写入hbase的时间戳。支持：当前时间、指定时间列，指定时间，三者选一。若不配置表示用当前时间。index：指定对应reader端column的索引，从0开始，需保证能转换为long,若是Date类型，会尝试用yyyy-MM-dd HH:mm:ss和yyyy-MM-dd HH:mm:ss SSS去解析；若为指定时间index为－1；value：指定时间的值,long值。配置格式如下：
 	
 	```
-"versionColumn":{
-	"index":1
-}
+	"versionColumn":{
+		"index":1
+	}
 		            
 	```
 	
 	或者
 	
 	```
-"versionColumn":{
-	"index":－1,
-	"value":123456789
-}
+	"versionColumn":{
+		"index":－1,
+		"value":123456789
+	}
 		            
 	```
 

hbase20xsqlreader/doc/hbase20xsqlreader.md

@@ -58,7 +58,9 @@ hbase20xsqlreader插件实现了从Phoenix(HBase SQL)读取数据，对应版本
 * **queryServerAddress**
 
 	* 描述：hbase20xsqlreader需要通过Phoenix轻客户端去连接Phoenix QueryServer，因此这里需要填写对应QueryServer地址。
- 
+           增强版/Lindorm 用户若需透传user, password参数，可以在queryServerAddress后增加对应可选属性.
+           格式参考：http://127.0.0.1:8765;user=root;password=root
+            
 	* 必选：是 <br />
  
 	* 默认值：无 <br />

hbase20xsqlreader/pom.xml

@@ -14,7 +14,7 @@
     <packaging>jar</packaging>
 
     <properties>
-        <phoenix.version>5.1.0-HBase-2.0.0.2</phoenix.version>
+        <phoenix.version>5.2.5-HBase-2.x</phoenix.version>
     </properties>
 
     <dependencies>

hbase20xsqlwriter/doc/hbase20xsqlwriter.md

@@ -120,7 +120,9 @@ HBase20xsqlwriter实现了向hbase中的SQL表(phoenix)批量导入数据的功
 
 * **queryServerAddress**
 
-   * 描述：Phoenix QueryServer地址，为必填项，格式：http://${hostName}:${ip}，如http://172.16.34.58:8765
+   * 描述：Phoenix QueryServer地址，为必填项，格式：http://${hostName}:${ip}，如http://172.16.34.58:8765。
+          增强版/Lindorm 用户若需透传user, password参数，可以在queryServerAddress后增加对应可选属性.
+              格式参考：http://127.0.0.1:8765;user=root;password=root
    * 必选：是
    * 默认值：无
    

hbase20xsqlwriter/pom.xml

@@ -14,7 +14,7 @@
     <packaging>jar</packaging>
 
     <properties>
-        <phoenix.version>5.1.0-HBase-2.0.0.2</phoenix.version>
+        <phoenix.version>5.2.5-HBase-2.x</phoenix.version>
         <commons-codec.version>1.8</commons-codec.version>
     </properties>
 

hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/HBase20xSQLWriterTask.java

@@ -6,12 +6,12 @@ import com.alibaba.datax.common.exception.DataXException;
 import com.alibaba.datax.common.plugin.RecordReceiver;
 import com.alibaba.datax.common.plugin.TaskPluginCollector;
 import com.alibaba.datax.common.util.Configuration;
-import com.google.common.collect.Lists;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
 import java.math.BigDecimal;
 import java.sql.*;
+import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.List;
 
@@ -154,7 +154,7 @@ public class HBase20xSQLWriterTask {
      * 从接收器中获取每条记录，写入Phoenix
      */
     private void writeData(RecordReceiver lineReceiver) throws SQLException {
-        List<Record> buffer = Lists.newArrayListWithExpectedSize(batchSize);
+        List<Record> buffer = new ArrayList<Record>(batchSize);
         Record record = null;
         while ((record = lineReceiver.getFromReader()) != null) {
             // 校验列数量是否符合预期

hdfsreader/pom.xml

@@ -16,6 +16,17 @@
         <hadoop.version>2.7.1</hadoop.version>
     </properties>
     <dependencies>
+        <dependency>
+            <groupId>org.apache.logging.log4j</groupId>
+            <artifactId>log4j-api</artifactId>
+            <version>2.17.1</version>
+        </dependency>
+
+        <dependency>
+            <groupId>org.apache.logging.log4j</groupId>
+            <artifactId>log4j-core</artifactId>
+            <version>2.17.1</version>
+        </dependency>
         <dependency>
             <groupId>com.alibaba.datax</groupId>
             <artifactId>datax-common</artifactId>
@@ -51,6 +62,11 @@
             <artifactId>hadoop-yarn-common</artifactId>
             <version>${hadoop.version}</version>
         </dependency>
+        <dependency>
+            <groupId>com.aliyun.oss</groupId>
+            <artifactId>hadoop-aliyun</artifactId>
+            <version>2.7.2</version>
+        </dependency>
         <dependency>
             <groupId>org.apache.hadoop</groupId>
             <artifactId>hadoop-mapreduce-client-core</artifactId>

hdfswriter/pom.xml

@@ -19,6 +19,17 @@
     </properties>
 
     <dependencies>
+        <dependency>
+            <groupId>org.apache.logging.log4j</groupId>
+            <artifactId>log4j-api</artifactId>
+            <version>2.17.1</version>
+        </dependency>
+
+        <dependency>
+            <groupId>org.apache.logging.log4j</groupId>
+            <artifactId>log4j-core</artifactId>
+            <version>2.17.1</version>
+        </dependency>
         <dependency>
             <groupId>com.alibaba.datax</groupId>
             <artifactId>datax-common</artifactId>
@@ -30,6 +41,11 @@
                 </exclusion>
             </exclusions>
         </dependency>
+        <dependency>
+            <groupId>com.aliyun.oss</groupId>
+            <artifactId>hadoop-aliyun</artifactId>
+            <version>2.7.2</version>
+        </dependency>
         <dependency>
             <groupId>org.slf4j</groupId>
             <artifactId>slf4j-api</artifactId>
@@ -132,4 +148,4 @@
             </plugin>
         </plugins>
     </build>
-</project>
+</project>

hdfswriter/src/main/java/com/alibaba/datax/plugin/writer/hdfswriter/HdfsHelper.java

@@ -6,10 +6,13 @@ import com.alibaba.datax.common.exception.DataXException;
 import com.alibaba.datax.common.plugin.RecordReceiver;
 import com.alibaba.datax.common.plugin.TaskPluginCollector;
 import com.alibaba.datax.common.util.Configuration;
+import com.alibaba.datax.plugin.unstructuredstorage.util.ColumnTypeUtil;
+import com.alibaba.datax.plugin.unstructuredstorage.util.HdfsUtil;
 import com.alibaba.fastjson.JSON;
 import com.alibaba.fastjson.JSONObject;
 import com.google.common.collect.Lists;
 import org.apache.commons.lang3.StringUtils;
+import org.apache.commons.lang3.Validate;
 import org.apache.commons.lang3.tuple.MutablePair;
 import org.apache.hadoop.fs.*;
 import org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat;
@@ -24,6 +27,10 @@ import org.apache.hadoop.mapred.*;
 import org.apache.hadoop.security.UserGroupInformation;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
+import parquet.schema.OriginalType;
+import parquet.schema.PrimitiveType;
+import parquet.schema.Types;
+
 import java.io.IOException;
 import java.text.SimpleDateFormat;
 import java.util.*;
@@ -556,4 +563,67 @@ public  class HdfsHelper {
         transportResult.setLeft(recordList);
         return transportResult;
     }
+
+
+    public static String generateParquetSchemaFromColumnAndType(List<Configuration> columns) {
+        Map<String, ColumnTypeUtil.DecimalInfo> decimalColInfo = new HashMap<>(16);
+        ColumnTypeUtil.DecimalInfo PARQUET_DEFAULT_DECIMAL_INFO = new ColumnTypeUtil.DecimalInfo(10, 2);
+        Types.MessageTypeBuilder typeBuilder = Types.buildMessage();
+        for (Configuration column : columns) {
+            String name = column.getString("name");
+            String colType = column.getString("type");
+            Validate.notNull(name, "column.name can't be null");
+            Validate.notNull(colType, "column.type can't be null");
+            switch (colType.toLowerCase()) {
+                case "tinyint":
+                case "smallint":
+                case "int":
+                    typeBuilder.optional(PrimitiveType.PrimitiveTypeName.INT32).named(name);
+                    break;
+                case "bigint":
+                case "long":
+                    typeBuilder.optional(PrimitiveType.PrimitiveTypeName.INT64).named(name);
+                    break;
+                case "float":
+                    typeBuilder.optional(PrimitiveType.PrimitiveTypeName.FLOAT).named(name);
+                    break;
+                case "double":
+                    typeBuilder.optional(PrimitiveType.PrimitiveTypeName.DOUBLE).named(name);
+                    break;
+                case "binary":
+                    typeBuilder.optional(PrimitiveType.PrimitiveTypeName.BINARY).named(name);
+                    break;
+                case "char":
+                case "varchar":
+                case "string":
+                    typeBuilder.optional(PrimitiveType.PrimitiveTypeName.BINARY).as(OriginalType.UTF8).named(name);
+                    break;
+                case "boolean":
+                    typeBuilder.optional(PrimitiveType.PrimitiveTypeName.BOOLEAN).named(name);
+                    break;
+                case "timestamp":
+                    typeBuilder.optional(PrimitiveType.PrimitiveTypeName.INT96).named(name);
+                    break;
+                case "date":
+                    typeBuilder.optional(PrimitiveType.PrimitiveTypeName.INT32).as(OriginalType.DATE).named(name);
+                    break;
+                default:
+                    if (ColumnTypeUtil.isDecimalType(colType)) {
+                        ColumnTypeUtil.DecimalInfo decimalInfo = ColumnTypeUtil.getDecimalInfo(colType, PARQUET_DEFAULT_DECIMAL_INFO);
+                        typeBuilder.optional(PrimitiveType.PrimitiveTypeName.FIXED_LEN_BYTE_ARRAY)
+                                .as(OriginalType.DECIMAL)
+                                .precision(decimalInfo.getPrecision())
+                                .scale(decimalInfo.getScale())
+                                .length(HdfsUtil.computeMinBytesForPrecision(decimalInfo.getPrecision()))
+                                .named(name);
+
+                        decimalColInfo.put(name, decimalInfo);
+                    } else {
+                        typeBuilder.optional(PrimitiveType.PrimitiveTypeName.BINARY).named(name);
+                    }
+                    break;
+            }
+        }
+        return typeBuilder.named("m").toString();
+    }
 }

hdfswriter/src/main/java/com/alibaba/datax/plugin/writer/hdfswriter/HdfsWriter.java

@@ -9,9 +9,11 @@ import com.google.common.collect.Sets;
 import org.apache.commons.io.Charsets;
 import org.apache.commons.io.IOUtils;
 import org.apache.commons.lang3.StringUtils;
+import org.apache.commons.lang3.Validate;
 import org.apache.hadoop.fs.Path;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
+import parquet.schema.MessageTypeParser;
 
 import java.util.*;
 
@@ -81,10 +83,10 @@ public class HdfsWriter extends Writer {
             //writeMode check
             this.writeMode = this.writerSliceConfig.getNecessaryValue(Key.WRITE_MODE, HdfsWriterErrorCode.REQUIRED_VALUE);
             writeMode = writeMode.toLowerCase().trim();
-            Set<String> supportedWriteModes = Sets.newHashSet("append", "nonconflict");
+            Set<String> supportedWriteModes = Sets.newHashSet("append", "nonconflict", "truncate");
             if (!supportedWriteModes.contains(writeMode)) {
                 throw DataXException.asDataXException(HdfsWriterErrorCode.ILLEGAL_VALUE,
-                        String.format("仅支持append, nonConflict两种模式, 不支持您配置的 writeMode 模式 : [%s]",
+                        String.format("仅支持append, nonConflict, truncate三种模式, 不支持您配置的 writeMode 模式 : [%s]",
                                 writeMode));
             }
             this.writerSliceConfig.set(Key.WRITE_MODE, writeMode);
@@ -179,6 +181,9 @@ public class HdfsWriter extends Writer {
                     LOG.error(String.format("冲突文件列表为: [%s]", StringUtils.join(allFiles, ",")));
                     throw DataXException.asDataXException(HdfsWriterErrorCode.ILLEGAL_VALUE,
                             String.format("由于您配置了writeMode nonConflict,但您配置的path: [%s] 目录不为空, 下面存在其他文件或文件夹.", path));
+                }else if ("truncate".equalsIgnoreCase(writeMode) && isExistFile) {
+                    LOG.info(String.format("由于您配置了writeMode truncate,  [%s] 下面的内容将被覆盖重写", path));
+                    hdfsHelper.deleteFiles(existFilePaths);
                 }
             }else{
                 throw DataXException.asDataXException(HdfsWriterErrorCode.ILLEGAL_VALUE,
@@ -320,8 +325,55 @@ public class HdfsWriter extends Writer {
             }
             return tmpFilePath;
         }
+        public void unitizeParquetConfig(Configuration writerSliceConfig) {
+            String parquetSchema = writerSliceConfig.getString(Key.PARQUET_SCHEMA);
+            if (StringUtils.isNotBlank(parquetSchema)) {
+                LOG.info("parquetSchema has config. use parquetSchema:\n{}", parquetSchema);
+                return;
+            }
+
+            List<Configuration> columns = writerSliceConfig.getListConfiguration(Key.COLUMN);
+            if (columns == null || columns.isEmpty()) {
+                throw DataXException.asDataXException("parquetSchema or column can't be blank!");
+            }
+
+            parquetSchema = generateParquetSchemaFromColumn(columns);
+            // 为了兼容历史逻辑,对之前的逻辑做保留，但是如果配置的时候报错，则走新逻辑
+            try {
+                MessageTypeParser.parseMessageType(parquetSchema);
+            } catch (Throwable e) {
+                LOG.warn("The generated parquetSchema {} is illegal, try to generate parquetSchema in another way", parquetSchema);
+                parquetSchema = HdfsHelper.generateParquetSchemaFromColumnAndType(columns);
+                LOG.info("The last generated parquet schema is {}", parquetSchema);
+            }
+            writerSliceConfig.set(Key.PARQUET_SCHEMA, parquetSchema);
+            LOG.info("dataxParquetMode use default fields.");
+            writerSliceConfig.set(Key.DATAX_PARQUET_MODE, "fields");
+        }
+
+        private String generateParquetSchemaFromColumn(List<Configuration> columns) {
+            StringBuffer parquetSchemaStringBuffer = new StringBuffer();
+            parquetSchemaStringBuffer.append("message m {");
+            for (Configuration column: columns) {
+                String name = column.getString("name");
+                Validate.notNull(name, "column.name can't be null");
+
+                String type = column.getString("type");
+                Validate.notNull(type, "column.type can't be null");
+
+                String parquetColumn = String.format("optional %s %s;", type, name);
+                parquetSchemaStringBuffer.append(parquetColumn);
+            }
+            parquetSchemaStringBuffer.append("}");
+            String parquetSchema = parquetSchemaStringBuffer.toString();
+            LOG.info("generate parquetSchema:\n{}", parquetSchema);
+            return parquetSchema;
+        }
+
     }
 
+
+
     public static class Task extends Writer.Task {
         private static final Logger LOG = LoggerFactory.getLogger(Task.class);
 

hdfswriter/src/main/java/com/alibaba/datax/plugin/writer/hdfswriter/Key.java

@@ -33,4 +33,17 @@ public class Key {
     public static final String KERBEROS_PRINCIPAL = "kerberosPrincipal";
     // hadoop config
     public static final String HADOOP_CONFIG = "hadoopConfig";
+
+    // useOldRawDataTransf
+    public final static String PARQUET_FILE_USE_RAW_DATA_TRANSF = "useRawDataTransf";
+
+    public final static String DATAX_PARQUET_MODE = "dataxParquetMode";
+
+    // hdfs username 默认值 admin
+    public final static String HDFS_USERNAME = "hdfsUsername";
+
+    public static final String PROTECTION = "protection";
+
+    public static final String PARQUET_SCHEMA = "parquetSchema";
+    public static final String PARQUET_MERGE_RESULT = "parquetMergeResult";
 }

hologresjdbcwriter/doc/hologresjdbcwriter.md

@@ -0,0 +1,204 @@
+# DataX HologresJdbcWriter
+
+
+---
+
+
+## 1 快速介绍
+
+HologresJdbcWriter 插件实现了写入数据到 Hologres目的表的功能。在底层实现上，HologresJdbcWriter通过JDBC连接远程 Hologres 数据库，并执行相应的 insert into ... on conflict sql 语句将数据写入 Hologres，内部会分批次提交入库。
+
+<br />
+
+* HologresJdbcWriter 只支持单表同步
+
+## 2 实现原理
+
+HologresJdbcWriter 通过 DataX 框架获取 Reader 生成的协议数据，根据你配置生成相应的SQL插入语句
+
+* `insert into... on conflict `
+
+
+## 3 功能说明
+
+### 3.1 配置样例
+
+* 这里使用一份从内存产生到 HologresJdbcWriter导入的数据。
+
+```json
+{
+    "job": {
+        "setting": {
+            "speed": {
+                "channel": 1
+            }
+        },
+        "content": [
+            {
+                 "reader": {
+                    "name": "streamreader",
+                    "parameter": {
+                        "column" : [
+                            {
+                                "value": "DataX",
+                                "type": "string"
+                            },
+                            {
+                                "value": 19880808,
+                                "type": "long"
+                            },
+                            {
+                                "value": "1988-08-08 08:08:08",
+                                "type": "date"
+                            },
+                            {
+                                "value": true,
+                                "type": "bool"
+                            },
+                            {
+                                "value": "test",
+                                "type": "bytes"
+                            }
+                        ],
+                        "sliceRecordCount": 1000
+                    }
+                },
+                "writer": {
+                    "name": "hologresjdbcwriter",
+                    "parameter": {
+                        "username": "xx",
+                        "password": "xx",
+                        "column": [
+                            "id",
+                            "name"
+                        ],
+                        "preSql": [
+                            "delete from test"
+                        ],
+                        "connection": [
+                            {
+                                "jdbcUrl": "jdbc:postgresql://127.0.0.1:3002/datax",
+                                "table": [
+                                    "test"
+                                ]
+                            }
+                        ],
+                        "writeMode" : "REPLACE",
+                        "client" : {
+                            "writeThreadSize" : 3
+                        }
+                    }
+                }
+            }
+        ]
+    }
+}
+
+```
+
+
+### 3.2 参数说明
+
+* **jdbcUrl**
+
+    * 描述：目的数据库的 JDBC 连接信息 ,jdbcUrl必须包含在connection配置单元中。
+
+      注意：1、在一个数据库上只能配置一个值。
+      2、jdbcUrl按照PostgreSQL官方规范，并可以填写连接附加参数信息。具体请参看PostgreSQL官方文档或者咨询对应 DBA。
+
+
+  * 必选：是 <br />
+
+  * 默认值：无 <br />
+
+* **username**
+
+  * 描述：目的数据库的用户名 <br />
+
+  * 必选：是 <br />
+
+  * 默认值：无 <br />
+
+* **password**
+
+  * 描述：目的数据库的密码 <br />
+
+  * 必选：是 <br />
+
+  * 默认值：无 <br />
+
+* **table**
+
+  * 描述：目的表的表名称。只支持写入一个表。
+
+               注意：table 和 jdbcUrl 必须包含在 connection 配置单元中
+
+  * 必选：是 <br />
+
+  * 默认值：无 <br />
+
+* **column**
+
+  * 描述：目的表需要写入数据的字段,字段之间用英文逗号分隔。例如: "column": ["id","name","age"]。如果要依次写入全部列，使用\*表示, 例如: "column": ["\*"]
+
+               注意：1、我们强烈不推荐你这样配置，因为当你目的表字段个数、类型等有改动时，你的任务可能运行不正确或者失败
+                    2、此处 column 不能配置任何常量值
+
+  * 必选：是 <br />
+
+  * 默认值：否 <br />
+
+* **preSql**
+
+  * 描述：写入数据到目的表前，会先执行这里的标准语句。如果 Sql 中有你需要操作到的表名称，请使用 `@table` 表示，这样在实际执行 Sql 语句时，会对变量按照实际表名称进行替换。 <br />
+
+  * 必选：否 <br />
+
+  * 默认值：无 <br />
+
+* **postSql**
+
+  * 描述：写入数据到目的表后，会执行这里的标准语句。（原理同 preSql ） <br />
+
+  * 必选：否 <br />
+
+  * 默认值：无 <br />
+
+* **batchSize**
+
+	* 描述：一次性批量提交的记录数大小，该值可以极大减少DataX与HologresJdbcWriter的网络交互次数，并提升整体吞吐量。但是该值设置过大可能会造成DataX运行进程OOM情况。<br />
+
+	* 必选：否 <br />
+
+	* 默认值：512 <br />
+
+* **writeMode**
+
+	* 描述：当写入hologres有主键表时，控制主键冲突后的策略。REPLACE表示冲突后hologres表的所有字段都被覆盖（未在writer中配置的字段将填充null);UPDATE表示冲突后hologres表writer配置的字段将被覆盖；IGNORE表示冲突后丢弃新数据，不覆盖。 <br />
+
+	* 必选：否 <br />
+
+	* 默认值：REPLACE <br />
+
+* **client.writeThreadSize**
+
+	* 描述：写入hologres的连接池大小，多个连接将并行写入数据。 <br />
+
+	* 必选：否 <br />
+
+	* 默认值：1 <br />
+	
+### 3.3 类型转换
+
+目前 HologresJdbcWriter支持大部分 Hologres类型，但也存在部分没有支持的情况，请注意检查你的类型。
+
+下面列出 HologresJdbcWriter针对 Hologres类型转换列表:
+
+| DataX 内部类型| Hologres 数据类型    |
+| -------- | -----  |
+| Long     |bigint, integer, smallint |
+| Double   |double precision, money, numeric, real |
+| String   |varchar, char, text, bit|
+| Date     |date, time, timestamp |
+| Boolean  |bool|
+| Bytes    |bytea|

hologresjdbcwriter/pom.xml

@@ -0,0 +1,90 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <parent>
+        <artifactId>datax-all</artifactId>
+        <groupId>com.alibaba.datax</groupId>
+        <version>0.0.1-SNAPSHOT</version>
+    </parent>
+    <modelVersion>4.0.0</modelVersion>
+
+    <artifactId>hologresjdbcwriter</artifactId>
+    <name>hologresjdbcwriter</name>
+    <packaging>jar</packaging>
+    <description>writer data into  hologres using jdbc</description>
+
+    <properties>
+        <jdk-version>1.8
+
+        </jdk-version>
+    </properties>
+    <dependencies>
+        <dependency>
+            <groupId>com.alibaba.datax</groupId>
+            <artifactId>datax-common</artifactId>
+            <version>${datax-project-version}</version>
+            <exclusions>
+                <exclusion>
+                    <artifactId>slf4j-log4j12</artifactId>
+                    <groupId>org.slf4j</groupId>
+                </exclusion>
+            </exclusions>
+        </dependency>
+
+        <dependency>
+            <groupId>org.slf4j</groupId>
+            <artifactId>slf4j-api</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>ch.qos.logback</groupId>
+            <artifactId>logback-classic</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>com.alibaba.datax</groupId>
+            <artifactId>plugin-rdbms-util</artifactId>
+            <version>${datax-project-version}</version>
+        </dependency>
+
+        <dependency>
+            <groupId>com.alibaba.hologres</groupId>
+            <artifactId>holo-client</artifactId>
+            <version>2.1.0</version>
+        </dependency>
+
+    </dependencies>
+    <build>
+        <plugins>
+            <!-- compiler plugin -->
+            <plugin>
+                <artifactId>maven-compiler-plugin</artifactId>
+                <configuration>
+                    <source>${jdk-version}</source>
+                    <target>${jdk-version}</target>
+                    <encoding>${project-sourceEncoding}</encoding>
+                </configuration>
+            </plugin>
+            <!-- assembly plugin -->
+            <plugin>
+                <artifactId>maven-assembly-plugin</artifactId>
+                <configuration>
+                    <descriptors>
+                        <descriptor>src/main/assembly/package.xml</descriptor>
+                    </descriptors>
+                    <finalName>datax</finalName>
+                </configuration>
+                <executions>
+                    <execution>
+                        <id>dwzip</id>
+                        <phase>package</phase>
+                        <goals>
+                            <goal>single</goal>
+                        </goals>
+                    </execution>
+                </executions>
+            </plugin>
+        </plugins>
+    </build>
+</project>

hologresjdbcwriter/src/main/assembly/package.xml

@@ -0,0 +1,35 @@
+<assembly
+        xmlns="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.0"
+        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+        xsi:schemaLocation="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.0 http://maven.apache.org/xsd/assembly-1.1.0.xsd">
+    <id></id>
+    <formats>
+        <format>dir</format>
+    </formats>
+    <includeBaseDirectory>false</includeBaseDirectory>
+    <fileSets>
+        <fileSet>
+            <directory>src/main/resources</directory>
+            <includes>
+                <include>plugin.json</include>
+                <include>plugin_job_template.json</include>
+            </includes>
+            <outputDirectory>plugin/writer/hologresjdbcwriter</outputDirectory>
+        </fileSet>
+        <fileSet>
+            <directory>target/</directory>
+            <includes>
+                <include>hologresjdbcwriter-0.0.1-SNAPSHOT.jar</include>
+            </includes>
+            <outputDirectory>plugin/writer/hologresjdbcwriter</outputDirectory>
+        </fileSet>
+    </fileSets>
+
+    <dependencySets>
+        <dependencySet>
+            <useProjectArtifact>false</useProjectArtifact>
+            <outputDirectory>plugin/writer/hologresjdbcwriter/libs</outputDirectory>
+            <scope>runtime</scope>
+        </dependencySet>
+    </dependencySets>
+</assembly>

hologresjdbcwriter/src/main/java/com/alibaba/datax/plugin/writer/hologresjdbcwriter/BaseWriter.java

@@ -0,0 +1,526 @@
+package com.alibaba.datax.plugin.writer.hologresjdbcwriter;
+
+import com.alibaba.datax.common.element.Column;
+import com.alibaba.datax.common.element.DateColumn;
+import com.alibaba.datax.common.element.LongColumn;
+import com.alibaba.datax.common.element.Record;
+import com.alibaba.datax.common.exception.DataXException;
+import com.alibaba.datax.common.plugin.RecordReceiver;
+import com.alibaba.datax.common.plugin.TaskPluginCollector;
+import com.alibaba.datax.common.util.Configuration;
+import com.alibaba.datax.common.util.RetryUtil;
+import com.alibaba.datax.plugin.rdbms.util.DBUtil;
+import com.alibaba.datax.plugin.rdbms.util.DBUtilErrorCode;
+import com.alibaba.datax.plugin.rdbms.util.DataBaseType;
+import com.alibaba.datax.plugin.writer.hologresjdbcwriter.util.ConfLoader;
+import com.alibaba.datax.plugin.writer.hologresjdbcwriter.util.OriginalConfPretreatmentUtil;
+import com.alibaba.datax.plugin.writer.hologresjdbcwriter.util.WriterUtil;
+import com.alibaba.fastjson.JSONArray;
+import com.alibaba.fastjson.JSONObject;
+import com.alibaba.hologres.client.HoloClient;
+import com.alibaba.hologres.client.HoloConfig;
+import com.alibaba.hologres.client.Put;
+import com.alibaba.hologres.client.exception.HoloClientWithDetailsException;
+import com.alibaba.hologres.client.model.TableSchema;
+import org.apache.commons.lang3.StringUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.sql.Connection;
+import java.sql.DriverManager;
+import java.sql.SQLException;
+import java.sql.Time;
+import java.sql.Timestamp;
+import java.sql.Types;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+
+public class BaseWriter {
+
+	protected static final Set<String> ignoreConfList;
+
+	static {
+		ignoreConfList = new HashSet<>();
+		ignoreConfList.add("jdbcUrl");
+		ignoreConfList.add("username");
+		ignoreConfList.add("password");
+		ignoreConfList.add("writeMode");
+	}
+
+	enum WriteMode {
+		IGNORE,
+		UPDATE,
+		REPLACE
+	}
+
+	private static WriteMode getWriteMode(String text) {
+		text = text.toUpperCase();
+		switch (text) {
+			case "IGNORE":
+				return WriteMode.IGNORE;
+			case "UPDATE":
+				return WriteMode.UPDATE;
+			case "REPLACE":
+				return WriteMode.REPLACE;
+			default:
+				throw DataXException.asDataXException(DBUtilErrorCode.ILLEGAL_VALUE, "writeMode只支持IGNORE,UPDATE,REPLACE,无法识别 " + text);
+		}
+	}
+
+	public static class Job {
+		private DataBaseType dataBaseType;
+
+		private static final Logger LOG = LoggerFactory
+				.getLogger(BaseWriter.Job.class);
+
+		public Job(DataBaseType dataBaseType) {
+			this.dataBaseType = dataBaseType;
+			OriginalConfPretreatmentUtil.DATABASE_TYPE = this.dataBaseType;
+		}
+
+		public void init(Configuration originalConfig) {
+			OriginalConfPretreatmentUtil.doPretreatment(originalConfig, this.dataBaseType);
+			checkConf(originalConfig);
+			LOG.debug("After job init(), originalConfig now is:[\n{}\n]",
+					originalConfig.toJSON());
+		}
+
+		private void checkConf(Configuration originalConfig) {
+			getWriteMode(originalConfig.getString(Key.WRITE_MODE, "REPLACE"));
+			List<String> userConfiguredColumns = originalConfig.getList(Key.COLUMN, String.class);
+			List<JSONObject> conns = originalConfig.getList(Constant.CONN_MARK,
+					JSONObject.class);
+			if (conns.size() > 1) {
+				throw DataXException.asDataXException(DBUtilErrorCode.ILLEGAL_VALUE, "只支持单表同步");
+			}
+			int tableNumber = originalConfig.getInt(Constant.TABLE_NUMBER_MARK);
+			if (tableNumber > 1) {
+				throw DataXException.asDataXException(DBUtilErrorCode.ILLEGAL_VALUE, "只支持单表同步");
+			}
+			JSONObject connConf = conns.get(0);
+			String jdbcUrl = connConf.getString(Key.JDBC_URL);
+			String username = originalConfig.getString(Key.USERNAME);
+			String password = originalConfig.getString(Key.PASSWORD);
+
+			String table = connConf.getJSONArray(Key.TABLE).getString(0);
+
+			Map<String, Object> clientConf = originalConfig.getMap("client");
+
+			HoloConfig config = new HoloConfig();
+			config.setJdbcUrl(jdbcUrl);
+			config.setUsername(username);
+			config.setPassword(password);
+			if (clientConf != null) {
+				try {
+					config = ConfLoader.load(clientConf, config, ignoreConfList);
+				} catch (Exception e) {
+					throw DataXException
+							.asDataXException(
+									DBUtilErrorCode.CONF_ERROR,
+									"配置解析失败.");
+				}
+			}
+
+			try (HoloClient client = new HoloClient(config)) {
+				TableSchema schema = client.getTableSchema(table);
+				LOG.info("table {} column info:", schema.getTableNameObj().getFullName());
+				for (com.alibaba.hologres.client.model.Column column : schema.getColumnSchema()) {
+					LOG.info("name:{},type:{},typeName:{},nullable:{},defaultValue:{}", column.getName(), column.getType(), column.getTypeName(), column.getAllowNull(), column.getDefaultValue());
+				}
+				for (String userColumn : userConfiguredColumns) {
+					if (schema.getColumnIndex(userColumn) == null) {
+						throw DataXException.asDataXException(DBUtilErrorCode.CONF_ERROR, "配置的列 " + userColumn + " 不存在");
+					}
+				}
+			} catch (Exception e) {
+				throw DataXException.asDataXException(DBUtilErrorCode.CONN_DB_ERROR, "获取表schema失败", e);
+			}
+
+		}
+
+		// 一般来说，是需要推迟到 task 中进行pre 的执行（单表情况例外）
+		public void prepare(Configuration originalConfig) {
+
+			try {
+				String username = originalConfig.getString(Key.USERNAME);
+				String password = originalConfig.getString(Key.PASSWORD);
+
+				List<Object> conns = originalConfig.getList(Constant.CONN_MARK,
+						Object.class);
+				Configuration connConf = Configuration.from(conns.get(0)
+						.toString());
+
+				String jdbcUrl = connConf.getString(Key.JDBC_URL);
+				originalConfig.set(Key.JDBC_URL, jdbcUrl);
+
+				String table = connConf.getList(Key.TABLE, String.class).get(0);
+				originalConfig.set(Key.TABLE, table);
+
+				List<String> preSqls = originalConfig.getList(Key.PRE_SQL,
+						String.class);
+				List<String> renderedPreSqls = WriterUtil.renderPreOrPostSqls(
+						preSqls, table);
+
+				originalConfig.remove(Constant.CONN_MARK);
+				if (null != renderedPreSqls && !renderedPreSqls.isEmpty()) {
+					// 说明有 preSql 配置，则此处删除掉
+					originalConfig.remove(Key.PRE_SQL);
+					String tempJdbcUrl = jdbcUrl.replace("postgresql", "hologres");
+					try (Connection conn = DriverManager.getConnection(
+							tempJdbcUrl, username, password)) {
+						LOG.info("Begin to execute preSqls:[{}]. context info:{}.",
+								StringUtils.join(renderedPreSqls, ";"), tempJdbcUrl);
+
+						WriterUtil.executeSqls(conn, renderedPreSqls, tempJdbcUrl, dataBaseType);
+					}
+				}
+				LOG.debug("After job prepare(), originalConfig now is:[\n{}\n]",
+						originalConfig.toJSON());
+			} catch (SQLException e) {
+				throw DataXException.asDataXException(DBUtilErrorCode.SQL_EXECUTE_FAIL, e);
+			}
+		}
+
+		public List<Configuration> split(Configuration originalConfig,
+										 int mandatoryNumber) {
+			return WriterUtil.doSplit(originalConfig, mandatoryNumber);
+		}
+
+		// 一般来说，是需要推迟到 task 中进行post 的执行（单表情况例外）
+		public void post(Configuration originalConfig) {
+
+			String username = originalConfig.getString(Key.USERNAME);
+			String password = originalConfig.getString(Key.PASSWORD);
+
+			String jdbcUrl = originalConfig.getString(Key.JDBC_URL);
+
+			String table = originalConfig.getString(Key.TABLE);
+
+			List<String> postSqls = originalConfig.getList(Key.POST_SQL,
+					String.class);
+			List<String> renderedPostSqls = WriterUtil.renderPreOrPostSqls(
+					postSqls, table);
+
+			if (null != renderedPostSqls && !renderedPostSqls.isEmpty()) {
+				// 说明有 postSql 配置，则此处删除掉
+				originalConfig.remove(Key.POST_SQL);
+				String tempJdbcUrl = jdbcUrl.replace("postgresql", "hologres");
+				Connection conn = DBUtil.getConnection(this.dataBaseType,
+						tempJdbcUrl, username, password);
+
+				LOG.info(
+						"Begin to execute postSqls:[{}]. context info:{}.",
+						StringUtils.join(renderedPostSqls, ";"), tempJdbcUrl);
+				WriterUtil.executeSqls(conn, renderedPostSqls, tempJdbcUrl, dataBaseType);
+				DBUtil.closeDBResources(null, null, conn);
+			}
+
+		}
+
+		public void destroy(Configuration originalConfig) {
+		}
+
+	}
+
+	public static class Task {
+		protected static final Logger LOG = LoggerFactory
+				.getLogger(BaseWriter.Task.class);
+
+		protected DataBaseType dataBaseType;
+
+		protected String username;
+		protected String password;
+		protected String jdbcUrl;
+		protected String table;
+		protected List<String> columns;
+		protected int batchSize;
+		protected int batchByteSize;
+		protected int columnNumber = 0;
+		protected TaskPluginCollector taskPluginCollector;
+
+		// 作为日志显示信息时，需要附带的通用信息。比如信息所对应的数据库连接等信息，针对哪个表做的操作
+		protected static String BASIC_MESSAGE;
+
+		protected WriteMode writeMode;
+		protected String arrayDelimiter;
+		protected boolean emptyAsNull;
+
+		protected HoloConfig config;
+
+		public Task(DataBaseType dataBaseType) {
+			this.dataBaseType = dataBaseType;
+		}
+
+		public void init(Configuration writerSliceConfig) {
+			this.username = writerSliceConfig.getString(Key.USERNAME);
+			this.password = writerSliceConfig.getString(Key.PASSWORD);
+			this.jdbcUrl = writerSliceConfig.getString(Key.JDBC_URL);
+			this.table = writerSliceConfig.getString(Key.TABLE);
+
+			this.columns = writerSliceConfig.getList(Key.COLUMN, String.class);
+			this.columnNumber = this.columns.size();
+
+			this.arrayDelimiter = writerSliceConfig.getString(Key.Array_Delimiter);
+
+			this.batchSize = writerSliceConfig.getInt(Key.BATCH_SIZE, Constant.DEFAULT_BATCH_SIZE);
+			this.batchByteSize = writerSliceConfig.getInt(Key.BATCH_BYTE_SIZE, Constant.DEFAULT_BATCH_BYTE_SIZE);
+
+			writeMode = getWriteMode(writerSliceConfig.getString(Key.WRITE_MODE, "REPLACE"));
+			emptyAsNull = writerSliceConfig.getBool(Key.EMPTY_AS_NULL, true);
+
+			Map<String, Object> clientConf = writerSliceConfig.getMap("client");
+
+			config = new HoloConfig();
+			config.setJdbcUrl(this.jdbcUrl);
+			config.setUsername(username);
+			config.setPassword(password);
+			config.setWriteMode(writeMode == WriteMode.IGNORE ? com.alibaba.hologres.client.model.WriteMode.INSERT_OR_IGNORE : (writeMode == WriteMode.UPDATE ? com.alibaba.hologres.client.model.WriteMode.INSERT_OR_UPDATE : com.alibaba.hologres.client.model.WriteMode.INSERT_OR_REPLACE));
+			config.setWriteBatchSize(this.batchSize);
+			config.setWriteBatchTotalByteSize(this.batchByteSize);
+			config.setMetaCacheTTL(3600000L);
+			config.setEnableDefaultForNotNullColumn(false);
+			config.setRetryCount(5);
+			config.setAppName("datax");
+
+			if (clientConf != null) {
+				try {
+					config = ConfLoader.load(clientConf, config, ignoreConfList);
+				} catch (Exception e) {
+					throw DataXException
+							.asDataXException(
+									DBUtilErrorCode.CONF_ERROR,
+									"配置解析失败.");
+				}
+			}
+
+			BASIC_MESSAGE = String.format("jdbcUrl:[%s], table:[%s]",
+					this.jdbcUrl, this.table);
+		}
+
+		public void prepare(Configuration writerSliceConfig) {
+
+		}
+
+		public void startWriteWithConnection(RecordReceiver recordReceiver, TaskPluginCollector taskPluginCollector) {
+			this.taskPluginCollector = taskPluginCollector;
+
+			try (HoloClient client = new HoloClient(config)) {
+				Record record;
+				TableSchema schema = RetryUtil.executeWithRetry(() -> client.getTableSchema(this.table), 3, 5000L, true);
+				while ((record = recordReceiver.getFromReader()) != null) {
+					if (record.getColumnNumber() != this.columnNumber) {
+						// 源头读取字段列数与目的表字段写入列数不相等，直接报错
+						throw DataXException
+								.asDataXException(
+										DBUtilErrorCode.CONF_ERROR,
+										String.format(
+												"列配置信息有错误. 因为您配置的任务中，源头读取字段数:%s 与 目的表要写入的字段数:%s 不相等. 请检查您的配置并作出修改.",
+												record.getColumnNumber(),
+												this.columnNumber));
+					}
+					Put put = convertToPut(record, schema);
+					if (null != put) {
+						try {
+							client.put(put);
+						} catch (HoloClientWithDetailsException detail) {
+							handleDirtyData(detail);
+						}
+					}
+				}
+				try {
+					client.flush();
+				} catch (HoloClientWithDetailsException detail) {
+					handleDirtyData(detail);
+				}
+			} catch (Exception e) {
+				throw DataXException.asDataXException(
+						DBUtilErrorCode.WRITE_DATA_ERROR, e);
+			}
+		}
+
+		private void handleDirtyData(HoloClientWithDetailsException detail) {
+			for (int i = 0; i < detail.size(); ++i) {
+				com.alibaba.hologres.client.model.Record failRecord = detail.getFailRecord(i);
+				if (failRecord.getAttachmentList() != null) {
+					for (Object obj : failRecord.getAttachmentList()) {
+						taskPluginCollector.collectDirtyRecord((Record) obj, detail.getException(i));
+					}
+				}
+			}
+		}
+
+		public void startWrite(RecordReceiver recordReceiver,
+							   TaskPluginCollector taskPluginCollector) {
+			startWriteWithConnection(recordReceiver, taskPluginCollector);
+		}
+
+		public void post(Configuration writerSliceConfig) {
+
+		}
+
+		public void destroy(Configuration writerSliceConfig) {
+		}
+
+		// 直接使用了两个类变量：columnNumber,resultSetMetaData
+		protected Put convertToPut(Record record, TableSchema schema) {
+			try {
+				Put put = new Put(schema);
+				put.getRecord().addAttachment(record);
+				for (int i = 0; i < this.columnNumber; i++) {
+					fillColumn(put, schema, schema.getColumnIndex(this.columns.get(i)), record.getColumn(i));
+				}
+				return put;
+			} catch (Exception e) {
+				taskPluginCollector.collectDirtyRecord(record, e);
+				return null;
+			}
+
+		}
+
+		protected void fillColumn(Put data, TableSchema schema, int index, Column column) throws SQLException {
+			com.alibaba.hologres.client.model.Column holoColumn = schema.getColumn(index);
+			switch (holoColumn.getType()) {
+				case Types.CHAR:
+				case Types.NCHAR:
+				case Types.CLOB:
+				case Types.NCLOB:
+				case Types.VARCHAR:
+				case Types.LONGVARCHAR:
+				case Types.NVARCHAR:
+				case Types.LONGNVARCHAR:
+					String value = column.asString();
+					if (emptyAsNull && value != null && value.length() == 0) {
+						data.setObject(index, null);
+					} else {
+						data.setObject(index, value);
+					}
+					break;
+
+				case Types.SMALLINT:
+					if (column.getByteSize() > 0) {
+						data.setObject(index, column.asBigInteger().shortValue());
+					} else if (emptyAsNull) {
+						data.setObject(index, null);
+					}
+					break;
+				case Types.INTEGER:
+					if (column.getByteSize() > 0) {
+						data.setObject(index, column.asBigInteger().intValue());
+					} else if (emptyAsNull) {
+						data.setObject(index, null);
+					}
+					break;
+				case Types.BIGINT:
+					if (column.getByteSize() > 0) {
+						data.setObject(index, column.asBigInteger().longValue());
+					} else if (emptyAsNull) {
+						data.setObject(index, null);
+					}
+					break;
+				case Types.NUMERIC:
+				case Types.DECIMAL:
+					if (column.getByteSize() > 0) {
+						data.setObject(index, column.asBigDecimal());
+					} else if (emptyAsNull) {
+						data.setObject(index, null);
+					}
+					break;
+				case Types.FLOAT:
+				case Types.REAL:
+					if (column.getByteSize() > 0) {
+						data.setObject(index, column.asBigDecimal().floatValue());
+					} else if (emptyAsNull) {
+						data.setObject(index, null);
+					}
+					break;
+				case Types.DOUBLE:
+					if (column.getByteSize() > 0) {
+						data.setObject(index, column.asDouble());
+					} else if (emptyAsNull) {
+						data.setObject(index, null);
+					}
+					break;
+				case Types.TIME:
+					if (column.getByteSize() > 0) {
+						if (column instanceof LongColumn || column instanceof DateColumn) {
+							data.setObject(index, new Time(column.asLong()));
+						} else {
+							data.setObject(index, column.asString());
+						}
+					} else if (emptyAsNull) {
+						data.setObject(index, null);
+					}
+					break;
+				case Types.DATE:
+					if (column.getByteSize() > 0) {
+						if (column instanceof LongColumn || column instanceof DateColumn) {
+							data.setObject(index, column.asLong());
+						} else {
+							data.setObject(index, column.asString());
+						}
+					} else if (emptyAsNull) {
+						data.setObject(index, null);
+					}
+					break;
+				case Types.TIMESTAMP:
+					if (column.getByteSize() > 0) {
+						if (column instanceof LongColumn || column instanceof DateColumn) {
+							data.setObject(index, new Timestamp(column.asLong()));
+						} else {
+							data.setObject(index, column.asString());
+						}
+					} else if (emptyAsNull) {
+						data.setObject(index, null);
+					}
+					break;
+
+				case Types.BINARY:
+				case Types.VARBINARY:
+				case Types.BLOB:
+				case Types.LONGVARBINARY:
+					String byteValue = column.asString();
+					if (null != byteValue) {
+						data.setObject(index, column
+								.asBytes());
+					}
+					break;
+				case Types.BOOLEAN:
+				case Types.BIT:
+					if (column.getByteSize() == 0) {
+						break;
+					}
+					try {
+						Boolean boolValue = column.asBoolean();
+						data.setObject(index, boolValue);
+					} catch (Exception e) {
+						data.setObject(index, !"0".equals(column.asString()));
+					}
+					break;
+				case Types.ARRAY:
+					String arrayString = column.asString();
+					Object arrayObject = null;
+					if (null == arrayString || (emptyAsNull && "".equals(arrayString))) {
+						data.setObject(index, null);
+						break;
+					} else if (arrayDelimiter != null && arrayDelimiter.length() > 0) {
+						arrayObject = arrayString.split(this.arrayDelimiter);
+					} else {
+						arrayObject = JSONArray.parseArray(arrayString);
+					}
+					data.setObject(index, arrayObject);
+					break;
+				default:
+					throw DataXException
+							.asDataXException(
+									DBUtilErrorCode.UNSUPPORTED_TYPE,
+									String.format(
+											"您的配置文件中的列配置信息有误. 因为DataX 不支持数据库写入这种字段类型. 字段名:[%s], 字段类型:[%d], 字段Java类型:[%s]. 请修改表中该字段的类型或者不同步该字段.",
+											holoColumn.getName(),
+											holoColumn.getType(),
+											holoColumn.getTypeName()));
+			}
+		}
+	}
+}

hologresjdbcwriter/src/main/java/com/alibaba/datax/plugin/writer/hologresjdbcwriter/Constant.java

@@ -0,0 +1,15 @@
+package com.alibaba.datax.plugin.writer.hologresjdbcwriter;
+
+/**
+ * 用于插件解析用户配置时，需要进行标识（MARK）的常量的声明.
+ */
+public final class Constant {
+    public static final int DEFAULT_BATCH_SIZE = 512;
+
+    public static final int DEFAULT_BATCH_BYTE_SIZE = 50 * 1024 * 1024;
+
+    public static String CONN_MARK = "connection";
+
+    public static String TABLE_NUMBER_MARK = "tableNumber";
+
+}

hologresjdbcwriter/src/main/java/com/alibaba/datax/plugin/writer/hologresjdbcwriter/HologresJdbcWriter.java

@@ -0,0 +1,78 @@
+package com.alibaba.datax.plugin.writer.hologresjdbcwriter;
+
+import com.alibaba.datax.common.plugin.RecordReceiver;
+import com.alibaba.datax.common.spi.Writer;
+import com.alibaba.datax.common.util.Configuration;
+import com.alibaba.datax.plugin.rdbms.util.DataBaseType;
+
+import java.util.List;
+
+public class HologresJdbcWriter extends Writer {
+	private static final DataBaseType DATABASE_TYPE = DataBaseType.PostgreSQL;
+
+	public static class Job extends Writer.Job {
+		private Configuration originalConfig = null;
+		private BaseWriter.Job baseWriterMaster;
+
+		@Override
+		public void init() {
+			this.originalConfig = super.getPluginJobConf();
+			this.baseWriterMaster = new BaseWriter.Job(DATABASE_TYPE);
+			this.baseWriterMaster.init(this.originalConfig);
+		}
+
+		@Override
+		public void prepare() {
+			this.baseWriterMaster.prepare(this.originalConfig);
+		}
+
+		@Override
+		public List<Configuration> split(int mandatoryNumber) {
+			return this.baseWriterMaster.split(this.originalConfig, mandatoryNumber);
+		}
+
+		@Override
+		public void post() {
+			this.baseWriterMaster.post(this.originalConfig);
+		}
+
+		@Override
+		public void destroy() {
+			this.baseWriterMaster.destroy(this.originalConfig);
+		}
+
+	}
+
+	public static class Task extends Writer.Task {
+		private Configuration writerSliceConfig;
+		private BaseWriter.Task baseWriterSlave;
+
+		@Override
+		public void init() {
+			this.writerSliceConfig = super.getPluginJobConf();
+			this.baseWriterSlave = new BaseWriter.Task(DATABASE_TYPE);
+			this.baseWriterSlave.init(this.writerSliceConfig);
+		}
+
+		@Override
+		public void prepare() {
+			this.baseWriterSlave.prepare(this.writerSliceConfig);
+		}
+
+		public void startWrite(RecordReceiver recordReceiver) {
+			this.baseWriterSlave.startWrite(recordReceiver, super.getTaskPluginCollector());
+		}
+
+		@Override
+		public void post() {
+			this.baseWriterSlave.post(this.writerSliceConfig);
+		}
+
+		@Override
+		public void destroy() {
+			this.baseWriterSlave.destroy(this.writerSliceConfig);
+		}
+
+	}
+
+}

hologresjdbcwriter/src/main/java/com/alibaba/datax/plugin/writer/hologresjdbcwriter/Key.java

@@ -0,0 +1,31 @@
+package com.alibaba.datax.plugin.writer.hologresjdbcwriter;
+
+public final class Key {
+    public final static String JDBC_URL = "jdbcUrl";
+
+    public final static String USERNAME = "username";
+
+    public final static String PASSWORD = "password";
+
+    public final static String TABLE = "table";
+
+    public final static String COLUMN = "column";
+
+    public final static String Array_Delimiter = "arrayDelimiter";
+
+    public final static String WRITE_MODE = "writeMode";
+
+    public final static String PRE_SQL = "preSql";
+
+    public final static String POST_SQL = "postSql";
+
+    //默认值：256
+    public final static String BATCH_SIZE = "batchSize";
+
+    //默认值：50m
+    public final static String BATCH_BYTE_SIZE = "batchByteSize";
+
+    public final static String EMPTY_AS_NULL = "emptyAsNull";
+
+
+}

hologresjdbcwriter/src/main/java/com/alibaba/datax/plugin/writer/hologresjdbcwriter/util/ConfLoader.java

@@ -0,0 +1,59 @@
+package com.alibaba.datax.plugin.writer.hologresjdbcwriter.util;
+
+import com.alibaba.hologres.client.model.WriteMode;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.lang.reflect.Field;
+import java.util.Map;
+import java.util.Set;
+
+public class ConfLoader {
+	public static Logger LOG = LoggerFactory.getLogger(ConfLoader.class);
+
+	static public <T> T load(Map<String, Object> props, T config, Set<String> ignoreList) throws Exception {
+		Field[] fields = config.getClass().getDeclaredFields();
+		for (Map.Entry<String, Object> entry : props.entrySet()) {
+			String key = entry.getKey();
+			String value = entry.getValue().toString();
+			if (ignoreList.contains(key)) {
+				LOG.info("Config Skip {}", key);
+				continue;
+			}
+			boolean match = false;
+			for (Field field : fields) {
+				if (field.getName().equals(key)) {
+					match = true;
+					field.setAccessible(true);
+					Class<?> type = field.getType();
+					if (type.equals(String.class)) {
+						field.set(config, value);
+					} else if (type.equals(int.class)) {
+						field.set(config, Integer.parseInt(value));
+					} else if (type.equals(long.class)) {
+						field.set(config, Long.parseLong(value));
+					} else if (type.equals(boolean.class)) {
+						field.set(config, Boolean.parseBoolean(value));
+					} else if (WriteMode.class.equals(type)) {
+						field.set(config, WriteMode.valueOf(value));
+					} else {
+						throw new Exception("invalid type " + type + " for param " + key);
+					}
+					if ("password".equals(key)) {
+						StringBuilder sb = new StringBuilder();
+						for (int i = 0; i < value.length(); ++i) {
+							sb.append("*");
+						}
+						LOG.info("Config {}={}", key, sb.toString());
+					} else {
+						LOG.info("Config {}={}", key, value);
+					}
+				}
+			}
+			if (!match) {
+				throw new Exception("param " + key + " not found in HoloConfig");
+			}
+		}
+		return config;
+	}
+}

hologresjdbcwriter/src/main/java/com/alibaba/datax/plugin/writer/hologresjdbcwriter/util/OriginalConfPretreatmentUtil.java

@@ -0,0 +1,82 @@
+package com.alibaba.datax.plugin.writer.hologresjdbcwriter.util;
+
+import com.alibaba.datax.common.exception.DataXException;
+import com.alibaba.datax.common.util.Configuration;
+import com.alibaba.datax.plugin.rdbms.util.DBUtilErrorCode;
+import com.alibaba.datax.plugin.rdbms.util.DataBaseType;
+import com.alibaba.datax.plugin.rdbms.util.TableExpandUtil;
+import com.alibaba.datax.plugin.writer.hologresjdbcwriter.Constant;
+import com.alibaba.datax.plugin.writer.hologresjdbcwriter.Key;
+import org.apache.commons.lang3.StringUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.List;
+
+public final class OriginalConfPretreatmentUtil {
+	private static final Logger LOG = LoggerFactory
+			.getLogger(OriginalConfPretreatmentUtil.class);
+
+	public static DataBaseType DATABASE_TYPE;
+
+	public static void doPretreatment(Configuration originalConfig, DataBaseType dataBaseType) {
+		// 检查 username/password 配置（必填）
+		originalConfig.getNecessaryValue(Key.USERNAME, DBUtilErrorCode.REQUIRED_VALUE);
+		originalConfig.getNecessaryValue(Key.PASSWORD, DBUtilErrorCode.REQUIRED_VALUE);
+
+		doCheckBatchSize(originalConfig);
+		simplifyConf(originalConfig);
+	}
+
+	public static void doCheckBatchSize(Configuration originalConfig) {
+		// 检查batchSize 配置（选填，如果未填写，则设置为默认值）
+		int batchSize = originalConfig.getInt(Key.BATCH_SIZE, Constant.DEFAULT_BATCH_SIZE);
+		if (batchSize < 1) {
+			throw DataXException.asDataXException(DBUtilErrorCode.ILLEGAL_VALUE, String.format(
+					"您的batchSize配置有误. 您所配置的写入数据库表的 batchSize:%s 不能小于1. 推荐配置范围为：[256-1024] (保持128的倍数), 该值越大, 内存溢出可能性越大. 请检查您的配置并作出修改.",
+					batchSize));
+		}
+
+		originalConfig.set(Key.BATCH_SIZE, batchSize);
+	}
+
+	public static void simplifyConf(Configuration originalConfig) {
+		List<Object> connections = originalConfig.getList(Constant.CONN_MARK,
+				Object.class);
+
+		int tableNum = 0;
+
+		for (int i = 0, len = connections.size(); i < len; i++) {
+			Configuration connConf = Configuration.from(connections.get(i).toString());
+
+			String jdbcUrl = connConf.getString(Key.JDBC_URL);
+			if (StringUtils.isBlank(jdbcUrl)) {
+				throw DataXException.asDataXException(DBUtilErrorCode.REQUIRED_VALUE, "您未配置的写入数据库表的 jdbcUrl.");
+			}
+
+			List<String> tables = connConf.getList(Key.TABLE, String.class);
+
+			if (null == tables || tables.isEmpty()) {
+				throw DataXException.asDataXException(DBUtilErrorCode.REQUIRED_VALUE,
+						"您未配置写入数据库表的表名称. 根据配置DataX找不到您配置的表. 请检查您的配置并作出修改.");
+			}
+
+			// 对每一个connection 上配置的table 项进行解析
+			List<String> expandedTables = TableExpandUtil
+					.expandTableConf(DATABASE_TYPE, tables);
+
+			if (null == expandedTables || expandedTables.isEmpty()) {
+				throw DataXException.asDataXException(DBUtilErrorCode.CONF_ERROR,
+						"您配置的写入数据库表名称错误. DataX找不到您配置的表，请检查您的配置并作出修改.");
+			}
+
+			tableNum += expandedTables.size();
+
+			originalConfig.set(String.format("%s[%d].%s", Constant.CONN_MARK,
+					i, Key.TABLE), expandedTables);
+		}
+
+		originalConfig.set(Constant.TABLE_NUMBER_MARK, tableNum);
+	}
+
+}

hologresjdbcwriter/src/main/java/com/alibaba/datax/plugin/writer/hologresjdbcwriter/util/WriterUtil.java

@@ -0,0 +1,111 @@
+package com.alibaba.datax.plugin.writer.hologresjdbcwriter.util;
+
+import com.alibaba.datax.common.exception.DataXException;
+import com.alibaba.datax.common.util.Configuration;
+import com.alibaba.datax.plugin.rdbms.util.DBUtil;
+import com.alibaba.datax.plugin.rdbms.util.DBUtilErrorCode;
+import com.alibaba.datax.plugin.rdbms.util.DataBaseType;
+import com.alibaba.datax.plugin.rdbms.util.RdbmsException;
+import com.alibaba.datax.plugin.rdbms.writer.Constant;
+import com.alibaba.datax.plugin.rdbms.writer.Key;
+import org.apache.commons.lang3.StringUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.sql.Connection;
+import java.sql.Statement;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.List;
+
+public final class WriterUtil {
+    private static final Logger LOG = LoggerFactory.getLogger(WriterUtil.class);
+
+    //TODO 切分报错
+    public static List<Configuration> doSplit(Configuration simplifiedConf,
+                                              int adviceNumber) {
+
+        List<Configuration> splitResultConfigs = new ArrayList<Configuration>();
+
+        int tableNumber = simplifiedConf.getInt(Constant.TABLE_NUMBER_MARK);
+
+        //处理单表的情况
+        if (tableNumber == 1) {
+            //由于在之前的  master prepare 中已经把 table,jdbcUrl 提取出来，所以这里处理十分简单
+            for (int j = 0; j < adviceNumber; j++) {
+                splitResultConfigs.add(simplifiedConf.clone());
+            }
+
+            return splitResultConfigs;
+        }
+
+        if (tableNumber != adviceNumber) {
+            throw DataXException.asDataXException(DBUtilErrorCode.CONF_ERROR,
+                    String.format("您的配置文件中的列配置信息有误. 您要写入的目的端的表个数是:%s , 但是根据系统建议需要切分的份数是：%s. 请检查您的配置并作出修改.",
+                            tableNumber, adviceNumber));
+        }
+
+        String jdbcUrl;
+        List<String> preSqls = simplifiedConf.getList(Key.PRE_SQL, String.class);
+        List<String> postSqls = simplifiedConf.getList(Key.POST_SQL, String.class);
+
+        List<Object> conns = simplifiedConf.getList(Constant.CONN_MARK,
+                Object.class);
+
+        for (Object conn : conns) {
+            Configuration sliceConfig = simplifiedConf.clone();
+
+            Configuration connConf = Configuration.from(conn.toString());
+            jdbcUrl = connConf.getString(Key.JDBC_URL);
+            sliceConfig.set(Key.JDBC_URL, jdbcUrl);
+
+            sliceConfig.remove(Constant.CONN_MARK);
+
+            List<String> tables = connConf.getList(Key.TABLE, String.class);
+
+            for (String table : tables) {
+                Configuration tempSlice = sliceConfig.clone();
+                tempSlice.set(Key.TABLE, table);
+                tempSlice.set(Key.PRE_SQL, renderPreOrPostSqls(preSqls, table));
+                tempSlice.set(Key.POST_SQL, renderPreOrPostSqls(postSqls, table));
+
+                splitResultConfigs.add(tempSlice);
+            }
+
+        }
+
+        return splitResultConfigs;
+    }
+
+    public static List<String> renderPreOrPostSqls(List<String> preOrPostSqls, String tableName) {
+        if (null == preOrPostSqls) {
+            return Collections.emptyList();
+        }
+
+        List<String> renderedSqls = new ArrayList<String>();
+        for (String sql : preOrPostSqls) {
+            //preSql为空时，不加入执行队列
+            if (StringUtils.isNotBlank(sql)) {
+                renderedSqls.add(sql.replace(Constant.TABLE_NAME_PLACEHOLDER, tableName));
+            }
+        }
+
+        return renderedSqls;
+    }
+
+    public static void executeSqls(Connection conn, List<String> sqls, String basicMessage,DataBaseType dataBaseType) {
+        Statement stmt = null;
+        String currentSql = null;
+        try {
+            stmt = conn.createStatement();
+            for (String sql : sqls) {
+                currentSql = sql;
+                DBUtil.executeSqlWithoutResultSet(stmt, sql);
+            }
+        } catch (Exception e) {
+            throw RdbmsException.asQueryException(dataBaseType,e,currentSql,null,null);
+        } finally {
+            DBUtil.closeDBResources(null, stmt, null);
+        }
+    }
+}

hologresjdbcwriter/src/main/resources/plugin.json

@@ -0,0 +1,6 @@
+{
+  "name": "hologreswriter",
+  "class": "com.alibaba.datax.plugin.writer.hologreswriter.HologresWriter",
+  "description": "",
+  "developer": "alibaba"
+}

hologresjdbcwriter/src/main/resources/plugin_job_template.json

@@ -0,0 +1,11 @@
+{
+  "name": "hologreswriter",
+  "parameter": {
+    "url": "",
+    "username": "",
+    "password": "",
+    "database": "",
+    "table": "",
+    "partition": ""
+  }
+}

introduction.md

@@ -36,6 +36,7 @@ DataX本身作为离线数据同步框架，采用Framework + plugin架构构建
 | ------------ | ---------- | :-------: | :-------: |:-------: |
 | RDBMS 关系型数据库 | MySQL      |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/mysqlreader/doc/mysqlreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/mysqlwriter/doc/mysqlwriter.md)|
 |              | Oracle     |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/oraclereader/doc/oraclereader.md) 、[写](https://github.com/alibaba/DataX/blob/master/oraclewriter/doc/oraclewriter.md)|
+|              | OceanBase  |     √     |     √     |[读](https://open.oceanbase.com/docs/community/oceanbase-database/V3.1.0/use-datax-to-full-migration-data-to-oceanbase) 、[写](https://open.oceanbase.com/docs/community/oceanbase-database/V3.1.0/use-datax-to-full-migration-data-to-oceanbase)|
 |              | SQLServer  |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/sqlserverreader/doc/sqlserverreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/sqlserverwriter/doc/sqlserverwriter.md)|
 |              | PostgreSQL |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/postgresqlreader/doc/postgresqlreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/postgresqlwriter/doc/postgresqlwriter.md)|
 |              | DRDS |     √     |     √     |[读](https://github.com/alibaba/DataX/blob/master/drdsreader/doc/drdsreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/drdswriter/doc/drdswriter.md)|

kingbaseesreader/doc/kingbaseesreader.md

@@ -0,0 +1,241 @@
+
+# KingbaseesReader 插件文档
+
+
+___
+
+
+## 1 快速介绍
+
+KingbaseesReader插件实现了从KingbaseES读取数据。在底层实现上，KingbaseesReader通过JDBC连接远程KingbaseES数据库，并执行相应的sql语句将数据从KingbaseES库中SELECT出来。
+
+## 2 实现原理
+
+简而言之，KingbaseesReader通过JDBC连接器连接到远程的KingbaseES数据库，并根据用户配置的信息生成查询SELECT SQL语句并发送到远程KingbaseES数据库，并将该SQL执行返回结果使用DataX自定义的数据类型拼装为抽象的数据集，并传递给下游Writer处理。
+
+对于用户配置Table、Column、Where的信息，KingbaseesReader将其拼接为SQL语句发送到KingbaseES数据库；对于用户配置querySql信息，KingbaseesReader直接将其发送到KingbaseES数据库。
+
+
+## 3 功能说明
+
+### 3.1 配置样例
+
+* 配置一个从KingbaseES数据库同步抽取数据到本地的作业:
+
+```
+{
+    "job": {
+        "setting": {
+            "speed": {
+            //设置传输速度，单位为byte/s，DataX运行会尽可能达到该速度但是不超过它.
+                 "byte": 1048576
+            },
+            //出错限制
+                "errorLimit": {
+                //出错的record条数上限，当大于该值即报错。
+                "record": 0,
+                //出错的record百分比上限 1.0表示100%，0.02表示2%
+                "percentage": 0.02
+            }
+        },
+        "content": [
+            {
+                "reader": {
+                    "name": "kingbaseesreader",
+                    "parameter": {
+                        // 数据库连接用户名
+                        "username": "xx",
+                        // 数据库连接密码
+                        "password": "xx",
+                        "column": [
+                            "id"，"name"
+                        ],
+                        //切分主键
+                        "splitPk": "id",
+                        "connection": [
+                            {
+                                "table": [
+                                    "table"
+                                ],
+                                "jdbcUrl": [
+     "jdbc:kingbase8://host:port/database"
+                                ]
+                            }
+                        ]
+                    }
+                },
+               "writer": {
+                    //writer类型
+                    "name": "streamwriter",
+                    //是否打印内容
+                    "parameter": {
+                        "print":true,
+                    }
+                }
+            }
+        ]
+    }
+}
+
+```
+
+* 配置一个自定义SQL的数据库同步任务到本地内容的作业：
+
+```
+{
+    "job": {
+        "setting": {
+            "speed": 1048576
+        },
+        "content": [
+            {
+                "reader": {
+                    "name": "kingbaseesreader",
+                    "parameter": {
+                        "username": "xx",
+                        "password": "xx",
+                        "where": "",
+                        "connection": [
+                            {
+                                "querySql": [
+                                    "select db_id,on_line_flag from db_info where db_id < 10;"
+                                ],
+                                "jdbcUrl": [
+                                    "jdbc:kingbase8://host:port/database", "jdbc:kingbase8://host:port/database"
+                                ]
+                            }
+                        ]
+                    }
+                },
+                "writer": {
+                    "name": "streamwriter",
+                    "parameter": {
+                        "print": false,
+                        "encoding": "UTF-8"
+                    }
+                }
+            }
+        ]
+    }
+}
+```
+
+
+### 3.2 参数说明
+
+* **jdbcUrl**
+
+	* 描述：描述的是到对端数据库的JDBC连接信息，使用JSON的数组描述，并支持一个库填写多个连接地址。之所以使用JSON数组描述连接信息，是因为阿里集团内部支持多个IP探测，如果配置了多个，KingbaseesReader可以依次探测ip的可连接性，直到选择一个合法的IP。如果全部连接失败，KingbaseesReader报错。 注意，jdbcUrl必须包含在connection配置单元中。对于阿里集团外部使用情况，JSON数组填写一个JDBC连接即可。
+
+		jdbcUrl按照KingbaseES官方规范，并可以填写连接附件控制信息。具体请参看[KingbaseES官方文档](https://help.kingbase.com.cn/doc-view-5683.html)。
+
+	* 必选：是 <br />
+
+	* 默认值：无 <br />
+
+* **username**
+
+	* 描述：数据源的用户名 <br />
+
+	* 必选：是 <br />
+
+	* 默认值：无 <br />
+
+* **password**
+
+	* 描述：数据源指定用户名的密码 <br />
+
+	* 必选：是 <br />
+
+	* 默认值：无 <br />
+
+* **table**
+
+	* 描述：所选取的需要同步的表。使用JSON的数组描述，因此支持多张表同时抽取。当配置为多张表时，用户自己需保证多张表是同一schema结构，KingbaseesReader不予检查表是否同一逻辑表。注意，table必须包含在connection配置单元中。<br />
+
+	* 必选：是 <br />
+
+	* 默认值：无 <br />
+
+* **column**
+
+	* 描述：所配置的表中需要同步的列名集合，使用JSON的数组描述字段信息。用户使用\*代表默认使用所有列配置，例如['\*']。
+
+	  支持列裁剪，即列可以挑选部分列进行导出。
+
+      支持列换序，即列可以不按照表schema信息进行导出。
+
+	  支持常量配置，用户需要按照KingbaseES语法格式:
+	  ["id", "'hello'::varchar", "true", "2.5::real", "power(2,3)"]
+	  id为普通列名，'hello'::varchar为字符串常量，true为布尔值，2.5为浮点数, power(2,3)为函数。
+
+		**column必须用户显示指定同步的列集合，不允许为空！**
+
+	* 必选：是 <br />
+
+	* 默认值：无 <br />
+
+* **splitPk**
+
+	* 描述：KingbaseesReader进行数据抽取时，如果指定splitPk，表示用户希望使用splitPk代表的字段进行数据分片，DataX因此会启动并发任务进行数据同步，这样可以大大提供数据同步的效能。
+
+	  推荐splitPk用户使用表主键，因为表主键通常情况下比较均匀，因此切分出来的分片也不容易出现数据热点。
+
+	  目前splitPk仅支持整形数据切分，`不支持浮点、字符串型、日期等其他类型`。如果用户指定其他非支持类型，KingbaseesReader将报错！
+
+	 	splitPk设置为空，底层将视作用户不允许对单表进行切分，因此使用单通道进行抽取。
+
+	* 必选：否 <br />
+
+	* 默认值：空 <br />
+
+* **where**
+
+	* 描述：筛选条件，KingbaseesReader根据指定的column、table、where条件拼接SQL，并根据这个SQL进行数据抽取。在实际业务场景中，往往会选择当天的数据进行同步，可以将where条件指定为gmt_create > $bizdate 。注意：不可以将where条件指定为limit 10，limit不是SQL的合法where子句。<br />
+
+          where条件可以有效地进行业务增量同步。		where条件不配置或者为空，视作全表同步数据。
+
+	* 必选：否 <br />
+
+	* 默认值：无 <br />
+
+* **querySql**
+
+	* 描述：在有些业务场景下，where这一配置项不足以描述所筛选的条件，用户可以通过该配置型来自定义筛选SQL。当用户配置了这一项之后，DataX系统就会忽略table，column这些配置型，直接使用这个配置项的内容对数据进行筛选，例如需要进行多表join后同步数据，使用select a,b from table_a join table_b on table_a.id = table_b.id <br />
+
+	 `当用户配置querySql时，KingbaseesReader直接忽略table、column、where条件的配置`。
+
+	* 必选：否 <br />
+
+	* 默认值：无 <br />
+
+* **fetchSize**
+
+	* 描述：该配置项定义了插件和数据库服务器端每次批量数据获取条数，该值决定了DataX和服务器端的网络交互次数，能够较大的提升数据抽取性能。<br />
+
+	 `注意，该值过大(>2048)可能造成DataX进程OOM。`。
+
+	* 必选：否 <br />
+
+	* 默认值：1024 <br />
+
+
+### 3.3 类型转换
+
+目前KingbaseesReader支持大部分KingbaseES类型，但也存在部分个别类型没有支持的情况，请注意检查你的类型。
+
+下面列出KingbaseesReader针对KingbaseES类型转换列表:
+
+
+| DataX 内部类型| KingbaseES 数据类型    |
+| -------- | -----  |
+| Long     |bigint, bigserial, integer, smallint, serial |
+| Double   |double precision, money, numeric, real |
+| String   |varchar, char, text, bit, inet|
+| Date     |date, time, timestamp |
+| Boolean  |bool|
+| Bytes    |bytea|
+
+请注意:
+
+* `除上述罗列字段类型外，其他类型均不支持; money,inet,bit需用户使用a_inet::varchar类似的语法转换`。

kingbaseesreader/pom.xml

@@ -0,0 +1,88 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <parent>
+        <artifactId>datax-all</artifactId>
+        <groupId>com.alibaba.datax</groupId>
+        <version>0.0.1-SNAPSHOT</version>
+    </parent>
+    <modelVersion>4.0.0</modelVersion>
+
+    <artifactId>kingbaseesreader</artifactId>
+    <name>kingbaseesreader</name>
+    <packaging>jar</packaging>
+
+    <dependencies>
+        <dependency>
+            <groupId>com.alibaba.datax</groupId>
+            <artifactId>datax-common</artifactId>
+            <version>${datax-project-version}</version>
+            <exclusions>
+                <exclusion>
+                    <artifactId>slf4j-log4j12</artifactId>
+                    <groupId>org.slf4j</groupId>
+                </exclusion>
+            </exclusions>
+        </dependency>
+        
+        <dependency>
+            <groupId>org.slf4j</groupId>
+            <artifactId>slf4j-api</artifactId>
+        </dependency>
+        
+        <dependency>
+            <groupId>ch.qos.logback</groupId>
+            <artifactId>logback-classic</artifactId>
+        </dependency>
+
+        <dependency>
+            <groupId>com.alibaba.datax</groupId>
+            <artifactId>plugin-rdbms-util</artifactId>
+            <version>${datax-project-version}</version>
+        </dependency>
+
+        <dependency>
+            <groupId>com.kingbase8</groupId>
+            <artifactId>kingbase8</artifactId>
+            <version>8.2.0</version>
+            <scope>system</scope>
+            <systemPath>${basedir}/src/main/libs/kingbase8-8.2.0.jar</systemPath>
+        </dependency>
+
+    </dependencies>
+
+    <build>
+        <plugins>
+            <!-- compiler plugin -->
+            <plugin>
+                <artifactId>maven-compiler-plugin</artifactId>
+                <configuration>
+                    <source>${jdk-version}</source>
+                    <target>${jdk-version}</target>
+                    <encoding>${project-sourceEncoding}</encoding>
+                </configuration>
+            </plugin>
+            <!-- assembly plugin -->
+            <plugin>
+                <artifactId>maven-assembly-plugin</artifactId>
+                <configuration>
+                    <descriptors>
+                        <descriptor>src/main/assembly/package.xml</descriptor>
+                    </descriptors>
+                    <finalName>datax</finalName>
+                </configuration>
+                <executions>
+                    <execution>
+                        <id>dwzip</id>
+                        <phase>package</phase>
+                        <goals>
+                            <goal>single</goal>
+                        </goals>
+                    </execution>
+                </executions>
+            </plugin>
+        </plugins>
+    </build>
+
+</project>

kingbaseesreader/src/main/assembly/package.xml

@@ -0,0 +1,42 @@
+<assembly
+        xmlns="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.0"
+        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+        xsi:schemaLocation="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.0 http://maven.apache.org/xsd/assembly-1.1.0.xsd">
+    <id></id>
+    <formats>
+        <format>dir</format>
+    </formats>
+    <includeBaseDirectory>false</includeBaseDirectory>
+    <fileSets>
+        <fileSet>
+            <directory>src/main/resources</directory>
+            <includes>
+                <include>plugin.json</include>
+                <include>plugin_job_template.json</include>
+            </includes>
+            <outputDirectory>plugin/reader/kingbaseesreader</outputDirectory>
+        </fileSet>
+        <fileSet>
+            <directory>target/</directory>
+            <includes>
+                <include>kingbaseesreader-0.0.1-SNAPSHOT.jar</include>
+            </includes>
+            <outputDirectory>plugin/reader/kingbaseesreader</outputDirectory>
+        </fileSet>
+        <fileSet>
+            <directory>src/main/libs</directory>
+            <includes>
+                <include>*.*</include>
+            </includes>
+            <outputDirectory>plugin/reader/kingbaseesreader/libs</outputDirectory>
+        </fileSet>
+    </fileSets>
+
+    <dependencySets>
+        <dependencySet>
+            <useProjectArtifact>false</useProjectArtifact>
+            <outputDirectory>plugin/reader/kingbaseesreader/libs</outputDirectory>
+            <scope>runtime</scope>
+        </dependencySet>
+    </dependencySets>
+</assembly>

kingbaseesreader/src/main/java/com/alibaba/datax/plugin/reader/kingbaseesreader/Constant.java

@@ -0,0 +1,7 @@
+package com.alibaba.datax.plugin.reader.kingbaseesreader;
+
+public class Constant {
+
+    public static final int DEFAULT_FETCH_SIZE = 1000;
+
+}

kingbaseesreader/src/main/java/com/alibaba/datax/plugin/reader/kingbaseesreader/KingbaseesReader.java

@@ -0,0 +1,86 @@
+package com.alibaba.datax.plugin.reader.kingbaseesreader;
+
+import com.alibaba.datax.common.exception.DataXException;
+import com.alibaba.datax.common.plugin.RecordSender;
+import com.alibaba.datax.common.spi.Reader;
+import com.alibaba.datax.common.util.Configuration;
+import com.alibaba.datax.plugin.rdbms.reader.CommonRdbmsReader;
+import com.alibaba.datax.plugin.rdbms.util.DBUtilErrorCode;
+import com.alibaba.datax.plugin.rdbms.util.DataBaseType;
+
+import java.util.List;
+
+public class KingbaseesReader extends Reader {
+
+    private static final DataBaseType DATABASE_TYPE = DataBaseType.KingbaseES;
+
+    public static class Job extends Reader.Job {
+
+        private Configuration originalConfig;
+        private CommonRdbmsReader.Job commonRdbmsReaderMaster;
+
+        @Override
+        public void init() {
+            this.originalConfig = super.getPluginJobConf();
+            int fetchSize = this.originalConfig.getInt(com.alibaba.datax.plugin.rdbms.reader.Constant.FETCH_SIZE,
+                    Constant.DEFAULT_FETCH_SIZE);
+            if (fetchSize < 1) {
+            	throw DataXException.asDataXException(DBUtilErrorCode.REQUIRED_VALUE,
+					String.format("您配置的fetchSize有误，根据DataX的设计，fetchSize : [%d] 设置值不能小于 1.", fetchSize));
+            }
+            this.originalConfig.set(com.alibaba.datax.plugin.rdbms.reader.Constant.FETCH_SIZE, fetchSize);
+
+            this.commonRdbmsReaderMaster = new CommonRdbmsReader.Job(DATABASE_TYPE);
+            this.commonRdbmsReaderMaster.init(this.originalConfig);
+        }
+
+        @Override
+        public List<Configuration> split(int adviceNumber) {
+            return this.commonRdbmsReaderMaster.split(this.originalConfig, adviceNumber);
+        }
+
+        @Override
+        public void post() {
+            this.commonRdbmsReaderMaster.post(this.originalConfig);
+        }
+
+        @Override
+        public void destroy() {
+            this.commonRdbmsReaderMaster.destroy(this.originalConfig);
+        }
+
+    }
+
+    public static class Task extends Reader.Task {
+
+        private Configuration readerSliceConfig;
+        private CommonRdbmsReader.Task commonRdbmsReaderSlave;
+
+        @Override
+        public void init() {
+            this.readerSliceConfig = super.getPluginJobConf();
+            this.commonRdbmsReaderSlave = new CommonRdbmsReader.Task(DATABASE_TYPE, super.getTaskGroupId(), super.getTaskId());
+            this.commonRdbmsReaderSlave.init(this.readerSliceConfig);
+        }
+
+        @Override
+        public void startRead(RecordSender recordSender) {
+            int fetchSize = this.readerSliceConfig.getInt(com.alibaba.datax.plugin.rdbms.reader.Constant.FETCH_SIZE);
+
+            this.commonRdbmsReaderSlave.startRead(this.readerSliceConfig, recordSender,
+                    super.getTaskPluginCollector(), fetchSize);
+        }
+
+        @Override
+        public void post() {
+            this.commonRdbmsReaderSlave.post(this.readerSliceConfig);
+        }
+
+        @Override
+        public void destroy() {
+            this.commonRdbmsReaderSlave.destroy(this.readerSliceConfig);
+        }
+
+    }
+
+}

kingbaseesreader/src/main/resources/plugin.json

@@ -0,0 +1,6 @@
+{
+    "name": "kingbaseesreader",
+    "class": "com.alibaba.datax.plugin.reader.kingbaseesreader.KingbaseesReader",
+    "description": "useScene: prod. mechanism: Jdbc connection using the database, execute select sql, retrieve data from the ResultSet. warn: The more you know about the database, the less problems you encounter.",
+    "developer": "alibaba"
+}

kingbaseesreader/src/main/resources/plugin_job_template.json

@@ -0,0 +1,13 @@
+{
+    "name": "kingbaseesreader",
+    "parameter": {
+        "username": "",
+        "password": "",
+        "connection": [
+            {
+                "table": [],
+                "jdbcUrl": []
+            }
+        ]
+    }
+}

kingbaseeswriter/doc/kingbaseeswriter.md

@@ -0,0 +1,208 @@
+# DataX KingbaseesWriter
+
+
+---
+
+
+## 1 快速介绍
+
+KingbaseesWriter插件实现了写入数据到 KingbaseES主库目的表的功能。在底层实现上，KingbaseesWriter通过JDBC连接远程 KingbaseES 数据库，并执行相应的 insert into ... sql 语句将数据写入 KingbaseES，内部会分批次提交入库。
+
+KingbaseesWriter面向ETL开发工程师，他们使用KingbaseesWriter从数仓导入数据到KingbaseES。同时 KingbaseesWriter亦可以作为数据迁移工具为DBA等用户提供服务。
+
+
+## 2 实现原理
+
+KingbaseesWriter通过 DataX 框架获取 Reader 生成的协议数据，根据你配置生成相应的SQL插入语句
+
+
+* `insert into...`(当主键/唯一性索引冲突时会写不进去冲突的行)
+
+<br />
+
+    注意：
+    1. 目的表所在数据库必须是主库才能写入数据；整个任务至少需具备 insert into...的权限，是否需要其他权限，取决于你任务配置中在 preSql 和 postSql 中指定的语句。
+    2. KingbaseesWriter和MysqlWriter不同，不支持配置writeMode参数。
+
+
+## 3 功能说明
+
+### 3.1 配置样例
+
+* 这里使用一份从内存产生到 KingbaseesWriter导入的数据。
+
+```json
+{
+    "job": {
+        "setting": {
+            "speed": {
+                "channel": 1
+            }
+        },
+        "content": [
+            {
+                 "reader": {
+                    "name": "streamreader",
+                    "parameter": {
+                        "column" : [
+                            {
+                                "value": "DataX",
+                                "type": "string"
+                            },
+                            {
+                                "value": 19880808,
+                                "type": "long"
+                            },
+                            {
+                                "value": "1988-08-08 08:08:08",
+                                "type": "date"
+                            },
+                            {
+                                "value": true,
+                                "type": "bool"
+                            },
+                            {
+                                "value": "test",
+                                "type": "bytes"
+                            }
+                        ],
+                        "sliceRecordCount": 1000
+                    }
+                },
+                "writer": {
+                    "name": "kingbaseeswriter",
+                    "parameter": {
+                        "username": "xx",
+                        "password": "xx",
+                        "column": [
+                            "id",
+                            "name"
+                        ],
+                        "preSql": [
+                            "delete from test"
+                        ],
+                        "connection": [
+                            {
+                                "jdbcUrl": "jdbc:kingbase8://127.0.0.1:3002/datax",
+                                "table": [
+                                    "test"
+                                ]
+                            }
+                        ]
+                    }
+                }
+            }
+        ]
+    }
+}
+
+```
+
+
+### 3.2 参数说明
+
+* **jdbcUrl**
+
+    * 描述：目的数据库的 JDBC 连接信息 ,jdbcUrl必须包含在connection配置单元中。
+
+      注意：1、在一个数据库上只能配置一个值。
+      2、jdbcUrl按照KingbaseES官方规范，并可以填写连接附加参数信息。具体请参看KingbaseES官方文档或者咨询对应 DBA。
+
+
+  * 必选：是 <br />
+
+  * 默认值：无 <br />
+
+* **username**
+
+  * 描述：目的数据库的用户名 <br />
+
+  * 必选：是 <br />
+
+  * 默认值：无 <br />
+
+* **password**
+
+  * 描述：目的数据库的密码 <br />
+
+  * 必选：是 <br />
+
+  * 默认值：无 <br />
+
+* **table**
+
+  * 描述：目的表的表名称。支持写入一个或者多个表。当配置为多张表时，必须确保所有表结构保持一致。
+
+               注意：table 和 jdbcUrl 必须包含在 connection 配置单元中
+
+  * 必选：是 <br />
+
+  * 默认值：无 <br />
+
+* **column**
+
+  * 描述：目的表需要写入数据的字段,字段之间用英文逗号分隔。例如: "column": ["id","name","age"]。如果要依次写入全部列，使用\*表示, 例如: "column": ["\*"]
+
+               注意：1、我们强烈不推荐你这样配置，因为当你目的表字段个数、类型等有改动时，你的任务可能运行不正确或者失败
+                    2、此处 column 不能配置任何常量值
+
+  * 必选：是 <br />
+
+  * 默认值：否 <br />
+
+* **preSql**
+
+  * 描述：写入数据到目的表前，会先执行这里的标准语句。如果 Sql 中有你需要操作到的表名称，请使用 `@table` 表示，这样在实际执行 Sql 语句时，会对变量按照实际表名称进行替换。比如你的任务是要写入到目的端的100个同构分表(表名称为:datax_00,datax01, ... datax_98,datax_99)，并且你希望导入数据前，先对表中数据进行删除操作，那么你可以这样配置：`"preSql":["delete from @table"]`，效果是：在执行到每个表写入数据前，会先执行对应的 delete from 对应表名称 <br />
+
+  * 必选：否 <br />
+
+  * 默认值：无 <br />
+
+* **postSql**
+
+  * 描述：写入数据到目的表后，会执行这里的标准语句。（原理同 preSql ） <br />
+
+  * 必选：否 <br />
+
+  * 默认值：无 <br />
+
+* **batchSize**
+
+	* 描述：一次性批量提交的记录数大小，该值可以极大减少DataX与KingbaseES的网络交互次数，并提升整体吞吐量。但是该值设置过大可能会造成DataX运行进程OOM情况。<br />
+
+	* 必选：否 <br />
+
+	* 默认值：1024 <br />
+
+### 3.3 类型转换
+
+目前 KingbaseesWriter支持大部分 KingbaseES类型，但也存在部分没有支持的情况，请注意检查你的类型。
+
+下面列出 KingbaseesWriter针对 KingbaseES类型转换列表:
+
+| DataX 内部类型| KingbaseES 数据类型    |
+| -------- | -----  |
+| Long     |bigint, bigserial, integer, smallint, serial |
+| Double   |double precision, money, numeric, real |
+| String   |varchar, char, text, bit|
+| Date     |date, time, timestamp |
+| Boolean  |bool|
+| Bytes    |bytea|
+
+
+## FAQ
+
+***
+
+**Q: KingbaseesWriter 执行 postSql 语句报错，那么数据导入到目标数据库了吗?**
+
+A: DataX 导入过程存在三块逻辑，pre 操作、导入操作、post 操作，其中任意一环报错，DataX 作业报错。由于 DataX 不能保证在同一个事务完成上述几个操作，因此有可能数据已经落入到目标端。
+
+***
+
+**Q: 按照上述说法，那么有部分脏数据导入数据库，如果影响到线上数据库怎么办?**
+
+A: 目前有两种解法，第一种配置 pre 语句，该 sql 可以清理当天导入数据， DataX 每次导入时候可以把上次清理干净并导入完整数据。
+第二种，向临时表导入数据，完成后再 rename 到线上表。
+
+***

kingbaseeswriter/pom.xml

@@ -0,0 +1,84 @@
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+	<modelVersion>4.0.0</modelVersion>
+	<parent>
+		<groupId>com.alibaba.datax</groupId>
+		<artifactId>datax-all</artifactId>
+		<version>0.0.1-SNAPSHOT</version>
+	</parent>
+	<artifactId>kingbaseeswriter</artifactId>
+	<name>kingbaseeswriter</name>
+	<packaging>jar</packaging>
+	<description>writer data into kingbasees database</description>
+
+	<dependencies>
+		<dependency>
+			<groupId>com.alibaba.datax</groupId>
+			<artifactId>datax-common</artifactId>
+			<version>${datax-project-version}</version>
+			<exclusions>
+				<exclusion>
+					<artifactId>slf4j-log4j12</artifactId>
+					<groupId>org.slf4j</groupId>
+				</exclusion>
+			</exclusions>
+		</dependency>
+		
+		<dependency>
+			<groupId>org.slf4j</groupId>
+			<artifactId>slf4j-api</artifactId>
+		</dependency>
+		
+		<dependency>
+			<groupId>ch.qos.logback</groupId>
+			<artifactId>logback-classic</artifactId>
+		</dependency>
+
+		<dependency>
+			<groupId>com.alibaba.datax</groupId>
+			<artifactId>plugin-rdbms-util</artifactId>
+			<version>${datax-project-version}</version>
+		</dependency>
+
+		<dependency>
+			<groupId>com.kingbase8</groupId>
+			<artifactId>kingbase8</artifactId>
+			<version>8.2.0</version>
+			<scope>system</scope>
+			<systemPath>${basedir}/src/main/libs/kingbase8-8.2.0.jar</systemPath>
+		</dependency>
+
+	</dependencies>
+	<build>
+		<plugins>
+			<!-- compiler plugin -->
+			<plugin>
+				<artifactId>maven-compiler-plugin</artifactId>
+				<configuration>
+					<source>${jdk-version}</source>
+					<target>${jdk-version}</target>
+					<encoding>${project-sourceEncoding}</encoding>
+				</configuration>
+			</plugin>
+			<!-- assembly plugin -->
+			<plugin>
+				<artifactId>maven-assembly-plugin</artifactId>
+				<configuration>
+					<descriptors>
+						<descriptor>src/main/assembly/package.xml</descriptor>
+					</descriptors>
+					<finalName>datax</finalName>
+				</configuration>
+				<executions>
+					<execution>
+						<id>dwzip</id>
+						<phase>package</phase>
+						<goals>
+							<goal>single</goal>
+						</goals>
+					</execution>
+				</executions>
+			</plugin>
+		</plugins>
+	</build>
+</project>

kingbaseeswriter/src/main/assembly/package.xml

@@ -0,0 +1,42 @@
+<assembly
+        xmlns="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.0"
+        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+        xsi:schemaLocation="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.0 http://maven.apache.org/xsd/assembly-1.1.0.xsd">
+    <id></id>
+    <formats>
+        <format>dir</format>
+    </formats>
+    <includeBaseDirectory>false</includeBaseDirectory>
+    <fileSets>
+        <fileSet>
+            <directory>src/main/resources</directory>
+            <includes>
+                <include>plugin.json</include>
+                <include>plugin_job_template.json</include>
+            </includes>
+            <outputDirectory>plugin/writer/kingbaseeswriter</outputDirectory>
+        </fileSet>
+        <fileSet>
+            <directory>target/</directory>
+            <includes>
+                <include>kingbaseeswriter-0.0.1-SNAPSHOT.jar</include>
+            </includes>
+            <outputDirectory>plugin/writer/kingbaseeswriter</outputDirectory>
+        </fileSet>
+        <fileSet>
+            <directory>src/main/libs</directory>
+            <includes>
+                <include>*.*</include>
+            </includes>
+            <outputDirectory>plugin/writer/kingbaseeswriter/libs</outputDirectory>
+        </fileSet>
+    </fileSets>
+
+    <dependencySets>
+        <dependencySet>
+            <useProjectArtifact>false</useProjectArtifact>
+            <outputDirectory>plugin/writer/kingbaseeswriter/libs</outputDirectory>
+            <scope>runtime</scope>
+        </dependencySet>
+    </dependencySets>
+</assembly>

kingbaseeswriter/src/main/java/com/alibaba/datax/plugin/writer/kingbaseeswriter/KingbaseesWriter.java

@@ -0,0 +1,100 @@
+package com.alibaba.datax.plugin.writer.kingbaseeswriter;
+
+import com.alibaba.datax.common.exception.DataXException;
+import com.alibaba.datax.common.plugin.RecordReceiver;
+import com.alibaba.datax.common.spi.Writer;
+import com.alibaba.datax.common.util.Configuration;
+import com.alibaba.datax.plugin.rdbms.util.DBUtilErrorCode;
+import com.alibaba.datax.plugin.rdbms.util.DataBaseType;
+import com.alibaba.datax.plugin.rdbms.writer.CommonRdbmsWriter;
+import com.alibaba.datax.plugin.rdbms.writer.Key;
+
+import java.util.List;
+
+public class KingbaseesWriter extends Writer {
+	private static final DataBaseType DATABASE_TYPE = DataBaseType.KingbaseES;
+
+	public static class Job extends Writer.Job {
+		private Configuration originalConfig = null;
+		private CommonRdbmsWriter.Job commonRdbmsWriterMaster;
+
+		@Override
+		public void init() {
+			this.originalConfig = super.getPluginJobConf();
+
+			// warn：not like mysql, KingbaseES only support insert mode, don't use
+			String writeMode = this.originalConfig.getString(Key.WRITE_MODE);
+			if (null != writeMode) {
+				throw DataXException.asDataXException(DBUtilErrorCode.CONF_ERROR,
+					String.format("写入模式(writeMode)配置有误. 因为KingbaseES不支持配置参数项 writeMode: %s, KingbaseES仅使用insert sql 插入数据. 请检查您的配置并作出修改.", writeMode));
+			}
+
+			this.commonRdbmsWriterMaster = new CommonRdbmsWriter.Job(DATABASE_TYPE);
+			this.commonRdbmsWriterMaster.init(this.originalConfig);
+		}
+
+		@Override
+		public void prepare() {
+			this.commonRdbmsWriterMaster.prepare(this.originalConfig);
+		}
+
+		@Override
+		public List<Configuration> split(int mandatoryNumber) {
+			return this.commonRdbmsWriterMaster.split(this.originalConfig, mandatoryNumber);
+		}
+
+		@Override
+		public void post() {
+			this.commonRdbmsWriterMaster.post(this.originalConfig);
+		}
+
+		@Override
+		public void destroy() {
+			this.commonRdbmsWriterMaster.destroy(this.originalConfig);
+		}
+
+	}
+
+	public static class Task extends Writer.Task {
+		private Configuration writerSliceConfig;
+		private CommonRdbmsWriter.Task commonRdbmsWriterSlave;
+
+		@Override
+		public void init() {
+			this.writerSliceConfig = super.getPluginJobConf();
+			this.commonRdbmsWriterSlave = new CommonRdbmsWriter.Task(DATABASE_TYPE){
+				@Override
+				public String calcValueHolder(String columnType){
+					if("serial".equalsIgnoreCase(columnType)){
+						return "?::int";
+					}else if("bit".equalsIgnoreCase(columnType)){
+						return "?::bit varying";
+					}
+					return "?::" + columnType;
+				}
+			};
+			this.commonRdbmsWriterSlave.init(this.writerSliceConfig);
+		}
+
+		@Override
+		public void prepare() {
+			this.commonRdbmsWriterSlave.prepare(this.writerSliceConfig);
+		}
+
+		public void startWrite(RecordReceiver recordReceiver) {
+			this.commonRdbmsWriterSlave.startWrite(recordReceiver, this.writerSliceConfig, super.getTaskPluginCollector());
+		}
+
+		@Override
+		public void post() {
+			this.commonRdbmsWriterSlave.post(this.writerSliceConfig);
+		}
+
+		@Override
+		public void destroy() {
+			this.commonRdbmsWriterSlave.destroy(this.writerSliceConfig);
+		}
+
+	}
+
+}

kingbaseeswriter/src/main/resources/plugin.json

@@ -0,0 +1,6 @@
+{
+    "name": "kingbaseeswriter",
+    "class": "com.alibaba.datax.plugin.writer.kingbaseeswriter.KingbaseesWriter",
+    "description": "useScene: prod. mechanism: Jdbc connection using the database, execute insert sql. warn: The more you know about the database, the less problems you encounter.",
+    "developer": "alibaba"
+}

kingbaseeswriter/src/main/resources/plugin_job_template.json

@@ -0,0 +1,17 @@
+{
+    "name": "kingbaseeswriter",
+    "parameter": {
+        "username": "",
+        "password": "",
+        "column": [],
+        "preSql": [],
+        "connection": [
+            {
+                "jdbcUrl": "",
+                "table": []
+            }
+        ],
+        "preSql": [],
+        "postSql": []
+    }
+}

kuduwriter/README.md

@@ -0,0 +1,6 @@
+# datax-kudu-plugin
+datax kudu的writer插件
+
+
+
+仅在kudu11进行过测试

kuduwriter/doc/kuduwirter.md

@@ -0,0 +1,143 @@
+# datax-kudu-plugins
+datax kudu的writer插件
+
+
+
+eg:
+
+```json
+{
+  "name": "kuduwriter",
+  "parameter": {
+    "kuduConfig": {
+      "kudu.master_addresses": "***",
+      "timeout": 60000,
+      "sessionTimeout": 60000
+
+    },
+    "table": "",
+    "replicaCount": 3,
+    "truncate": false,
+    "writeMode": "upsert",
+    "partition": {
+      "range": {
+        "column1": [
+          {
+            "lower": "2020-08-25",
+            "upper": "2020-08-26"
+          },
+          {
+            "lower": "2020-08-26",
+            "upper": "2020-08-27"
+          },
+          {
+            "lower": "2020-08-27",
+            "upper": "2020-08-28"
+          }
+        ]
+      },
+      "hash": {
+        "column": [
+          "column1"
+        ],
+        "number": 3
+      }
+    },
+    "column": [
+      {
+        "index": 0,
+        "name": "c1",
+        "type": "string",
+        "primaryKey": true
+      },
+      {
+        "index": 1,
+        "name": "c2",
+        "type": "string",
+        "compress": "DEFAULT_COMPRESSION",
+        "encoding": "AUTO_ENCODING",
+        "comment": "注解xxxx"
+      }
+    ],
+    "batchSize": 1024,
+    "bufferSize": 2048,
+    "skipFail": false,
+    "encoding": "UTF-8"
+  }
+}
+```
+
+必须参数：
+
+```json
+        "writer": {
+          "name": "kuduwriter",
+          "parameter": {
+            "kuduConfig": {
+              "kudu.master_addresses": "***"
+            },
+            "table": "***",
+            "column": [
+              {
+                "name": "c1",
+                "type": "string",
+                "primaryKey": true
+              },
+              {
+                "name": "c2",
+                "type": "string",
+              },
+              {
+                "name": "c3",
+                "type": "string"
+              },
+              {
+                "name": "c4",
+                "type": "string"
+              }
+            ]
+          }
+        }
+```
+
+主键列请写到最前面
+
+
+
+![image-20200901193148188](./image-20200901193148188.png)
+
+##### 配置列表
+
+| name           | default             | description                                                  | 是否必须 |
+| -------------- | ------------------- | ------------------------------------------------------------ | -------- |
+| kuduConfig     |                     | kudu配置 （kudu.master_addresses等）                         | 是       |
+| table          |                     | 导入目标表名                                                 | 是       |
+| partition      |                     | 分区                                                         | 否       |
+| column         |                     | 列                                                           | 是       |
+| name           |                     | 列名                                                         | 是       |
+| type           | string              | 列的类型，现支持INT, FLOAT, STRING, BIGINT, DOUBLE, BOOLEAN, LONG。 | 否       |
+| index          | 升序排列            | 列索引位置(要么全部列都写，要么都不写)，如reader中取到的某一字段在第二位置（eg： name， id， age）但kudu目标表结构不同（eg：id，name， age），此时就需要将index赋值为（1，0，2），默认顺序（0，1，2） | 否       |
+| primaryKey     | false               | 是否为主键（请将所有的主键列写在前面）,不表明主键将不会检查过滤脏数据 | 否       |
+| compress       | DEFAULT_COMPRESSION | 压缩格式                                                     | 否       |
+| encoding       | AUTO_ENCODING       | 编码                                                         | 否       |
+| replicaCount   | 3                   | 保留副本个数                                                 | 否       |
+| hash           |                     | hash分区                                                     | 否       |
+| number         | 3                   | hash分区个数                                                 | 否       |
+| range          |                     | range分区                                                    | 否       |
+| lower          |                     | range分区下限 (eg: sql建表：partition value='haha' 对应：“lower”：“haha”，“upper”：“haha\000”) | 否       |
+| upper          |                     | range分区上限(eg: sql建表：partition "10" <= VALUES < "20"                                                                     对应：“lower”：“10”，“upper”：“20”) | 否       |
+| truncate       | false               | 是否清空表，本质上是删表重建                                 | 否       |
+| writeMode      | upsert              | upsert，insert，update                                       | 否       |
+| batchSize      | 512                 | 每xx行数据flush一次结果（最好不要超过1024）                  | 否       |
+| bufferSize     | 3072                | 缓冲区大小                                                   | 否       |
+| skipFail       | false               | 是否跳过插入不成功的数据                                     | 否       |
+| timeout        | 60000               | client超时时间,如创建表，删除表操作的超时时间。单位：ms      | 否       |
+| sessionTimeout | 60000               | session超时时间 单位：ms                                     | 否       |
+
+
+
+
+
+
+
+

kuduwriter/pom.xml

@@ -0,0 +1,82 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <parent>
+        <artifactId>datax-all</artifactId>
+        <groupId>com.alibaba.datax</groupId>
+        <version>0.0.1-SNAPSHOT</version>
+    </parent>
+    <modelVersion>4.0.0</modelVersion>
+
+    <artifactId>kuduwriter</artifactId>
+    <dependencies>
+        <dependency>
+            <groupId>com.alibaba.datax</groupId>
+            <artifactId>datax-common</artifactId>
+            <version>${datax-project-version}</version>
+            <exclusions>
+                <exclusion>
+                    <artifactId>slf4j-log4j12</artifactId>
+                    <groupId>org.slf4j</groupId>
+                </exclusion>
+            </exclusions>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.kudu</groupId>
+            <artifactId>kudu-client</artifactId>
+            <version>1.11.1</version>
+        </dependency>
+        <dependency>
+            <groupId>junit</groupId>
+            <artifactId>junit</artifactId>
+            <version>4.13.1</version>
+            <scope>test</scope>
+        </dependency>
+        <dependency>
+            <groupId>com.alibaba.datax</groupId>
+            <artifactId>datax-core</artifactId>
+            <version>${datax-project-version}</version>
+            <exclusions>
+                <exclusion>
+                    <groupId>com.alibaba.datax</groupId>
+                    <artifactId>datax-service-face</artifactId>
+                </exclusion>
+            </exclusions>
+            <scope>test</scope>
+        </dependency>
+    </dependencies>
+
+    <build>
+        <plugins>
+            <!-- compiler plugin -->
+            <plugin>
+                <artifactId>maven-compiler-plugin</artifactId>
+                <configuration>
+                    <source>${jdk-version}</source>
+                    <target>${jdk-version}</target>
+                    <encoding>${project-sourceEncoding}</encoding>
+                </configuration>
+            </plugin>
+            <!-- assembly plugin -->
+            <plugin>
+                <artifactId>maven-assembly-plugin</artifactId>
+                <configuration>
+                    <descriptors>
+                        <descriptor>src/main/assembly/package.xml</descriptor>
+                    </descriptors>
+                    <finalName>datax</finalName>
+                </configuration>
+                <executions>
+                    <execution>
+                        <id>dwzip</id>
+                        <phase>package</phase>
+                        <goals>
+                            <goal>single</goal>
+                        </goals>
+                    </execution>
+                </executions>
+            </plugin>
+        </plugins>
+    </build>
+</project>

kuduwriter/src/main/assembly/package.xml

@@ -0,0 +1,35 @@
+<assembly
+		xmlns="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.0"
+		xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+		xsi:schemaLocation="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.0 http://maven.apache.org/xsd/assembly-1.1.0.xsd">
+	<id></id>
+	<formats>
+		<format>dir</format>
+	</formats>
+	<includeBaseDirectory>false</includeBaseDirectory>
+	<fileSets>
+		<fileSet>
+			<directory>src/main/resources</directory>
+			<includes>
+				<include>plugin.json</include>
+				<include>plugin_job_template.json</include>
+			</includes>
+			<outputDirectory>plugin/writer/kuduwriter</outputDirectory>
+		</fileSet>
+		<fileSet>
+			<directory>target/</directory>
+			<includes>
+				<include>kuduwriter-0.0.1-SNAPSHOT.jar</include>
+			</includes>
+			<outputDirectory>plugin/writer/kuduwriter</outputDirectory>
+		</fileSet>
+	</fileSets>
+
+	<dependencySets>
+		<dependencySet>
+			<useProjectArtifact>false</useProjectArtifact>
+			<outputDirectory>plugin/writer/kuduwriter/libs</outputDirectory>
+			<scope>runtime</scope>
+		</dependencySet>
+	</dependencySets>
+</assembly>

kuduwriter/src/main/java/com/q1/datax/plugin/writer/kudu11xwriter/ColumnType.java

@@ -0,0 +1,37 @@
+package com.q1.datax.plugin.writer.kudu11xwriter;
+
+import com.alibaba.datax.common.exception.DataXException;
+
+import java.util.Arrays;
+
+/**
+ * @author daizihao
+ * @create 2020-08-31 19:12
+ **/
+public enum ColumnType {
+    INT("int"),
+    FLOAT("float"),
+    STRING("string"),
+    BIGINT("bigint"),
+    DOUBLE("double"),
+    BOOLEAN("boolean"),
+    LONG("long");
+    private String mode;
+    ColumnType(String mode) {
+        this.mode = mode.toLowerCase();
+    }
+
+    public String getMode() {
+        return mode;
+    }
+
+    public static ColumnType getByTypeName(String modeName) {
+        for (ColumnType modeType : values()) {
+            if (modeType.mode.equalsIgnoreCase(modeName)) {
+                return modeType;
+            }
+        }
+        throw DataXException.asDataXException(Kudu11xWriterErrorcode.ILLEGAL_VALUE,
+                String.format("Kuduwriter does not support the type:%s, currently supported types are:%s", modeName, Arrays.asList(values())));
+    }
+}

kuduwriter/src/main/java/com/q1/datax/plugin/writer/kudu11xwriter/Constant.java

@@ -0,0 +1,21 @@
+package com.q1.datax.plugin.writer.kudu11xwriter;
+
+/**
+ * @author daizihao
+ * @create 2020-08-31 14:42
+ **/
+public class Constant {
+    public static final String DEFAULT_ENCODING = "UTF-8";
+//    public static final String DEFAULT_DATA_FORMAT = "yyyy-MM-dd HH:mm:ss";
+
+    public static final String COMPRESSION = "DEFAULT_COMPRESSION";
+    public static final String ENCODING = "AUTO_ENCODING";
+    public static final Long ADMIN_TIMEOUTMS = 60000L;
+    public static final Long SESSION_TIMEOUTMS = 60000L;
+
+
+    public static final String INSERT_MODE = "upsert";
+    public static final long DEFAULT_WRITE_BATCH_SIZE = 512L;
+    public static final long DEFAULT_MUTATION_BUFFER_SPACE = 3072L;
+
+}

kuduwriter/src/main/java/com/q1/datax/plugin/writer/kudu11xwriter/InsertModeType.java

@@ -0,0 +1,34 @@
+package com.q1.datax.plugin.writer.kudu11xwriter;
+
+import com.alibaba.datax.common.exception.DataXException;
+
+import java.util.Arrays;
+
+/**
+ * @author daizihao
+ * @create 2020-08-31 14:47
+ **/
+public enum InsertModeType {
+    Insert("insert"),
+    Upsert("upsert"),
+    Update("update");
+    private String mode;
+
+    InsertModeType(String mode) {
+        this.mode = mode.toLowerCase();
+    }
+
+    public String getMode() {
+        return mode;
+    }
+
+    public static InsertModeType getByTypeName(String modeName) {
+        for (InsertModeType modeType : values()) {
+            if (modeType.mode.equalsIgnoreCase(modeName)) {
+                return modeType;
+            }
+        }
+        throw DataXException.asDataXException(Kudu11xWriterErrorcode.ILLEGAL_VALUE,
+                String.format("Kuduwriter does not support the mode :[%s], currently supported mode types are :%s", modeName, Arrays.asList(values())));
+    }
+}