支持Phoenix5.x版本读写插件

2025-05-02 17:59:12 +08:00 · 2019-03-11 11:19:41 +08:00 · 2019-03-11 11:19:41 +08:00 · db0333b971
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--- a/hbase20xsqlreader/doc/hbase20xsqlreader.md
+++ b/hbase20xsqlreader/doc/hbase20xsqlreader.md
@ -0,0 +1,164 @@
+# hbase20xsqlreader  插件文档
+
+
+___
+
+
+ 
+## 1 快速介绍
+
+hbase20xsqlreader插件实现了从Phoenix(HBase SQL)读取数据，对应版本为HBase2.X和Phoenix5.X。
+
+## 2 实现原理
+
+简而言之，hbase20xsqlreader通过Phoenix轻客户端去连接Phoenix QueryServer，并根据用户配置信息生成查询SELECT 语句，然后发送到QueryServer读取HBase数据，并将返回结果使用DataX自定义的数据类型拼装为抽象的数据集，最终传递给下游Writer处理。
+
+## 3 功能说明
+
+### 3.1 配置样例
+
+* 配置一个从Phoenix同步抽取数据到本地的作业:
+
+```
+{
+    "job": {
+        "content": [
+            {
+                "reader": {
+                    "name": "hbase20xsqlreader",  //指定插件为hbase20xsqlreader
+                    "parameter": {
+                        "queryServerAddress": "http://127.0.0.1:8765",  //填写连接Phoenix QueryServer地址
+                        "serialization": "PROTOBUF",  //QueryServer序列化格式
+                        "table": "TEST",    //读取表名
+                        "column": ["ID", "NAME"],   //所要读取列名
+                        "splitKey": "ID"    //切分列，必须是表主键
+                    }
+                },
+                "writer": {
+                    "name": "streamwriter",
+                    "parameter": {
+                        "encoding": "UTF-8",
+                        "print": true
+                    }
+                }
+            }
+        ],
+        "setting": {
+            "speed": {
+                "channel": "3"
+            }
+        }
+    }
+}
+```
+
+
+### 3.2 参数说明
+
+* **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。
+ 
+	* 必选：是 <br />
+ 
+	* 默认值：无 <br />
+ 
+* **serialization**
+ 
+	* 描述：QueryServer使用的序列化协议
+ 
+	* 必选：否 <br />
+ 
+	* 默认值：PROTOBUF <br />
+	
+* **table**
+
+	* 描述：所要读取表名
+	
+	* 必选：是 <br />
+ 
+	* 默认值：无 <br />
+	
+* **schema**
+
+	* 描述：表所在的schema
+	
+	* 必选：否 <br />
+ 
+	* 默认值：无 <br />
+		
+* **column**
+
+	* 描述：填写需要从phoenix表中读取的列名集合，使用JSON的数组描述字段信息，空值表示读取所有列。
+ 
+	* 必选： 否<br />
+ 
+	* 默认值：全部列 <br />
+ 
+* **splitKey**
+
+	* 描述：读取表时对表进行切分并行读取，切分时有两种方式：1.根据该列的最大最小值按照指定channel个数均分，这种方式仅支持整形和字符串类型切分列；2.根据设置的splitPoint进行切分
+	
+	* 必选：是 <br />
+ 
+	* 默认值：无 <br />
+
+* **splitPoints**
+
+	* 描述：由于根据切分列最大最小值切分时不能保证避免数据热点，splitKey支持用户根据数据特征动态指定切分点，对表数据进行切分。建议切分点根据Region的startkey和endkey设置，保证每个查询对应单个Region
+ 
+	* 必选： 否<br />
+ 
+	* 默认值：无 <br />
+	
+* **where**
+    
+    * 描述：支持对表查询增加过滤条件，每个切分都会携带该过滤条件。
+     
+    * 必选： 否<br />
+     
+    * 默认值：无<br />
+    
+* **querySql**
+        
+    * 描述：支持指定多个查询语句，但查询列类型和数目必须保持一致，用户可根据实际情况手动输入表查询语句或多表联合查询语句，设置该参数后，除queryserverAddress参数必须设置外，其余参数将失去作用或可不设置。
+         
+    * 必选： 否<br />
+         
+    * 默认值：无<br />
+    
+
+### 3.3 类型转换
+
+目前hbase20xsqlreader支持大部分Phoenix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MysqlReader针对Mysql类型转换列表:
+
+
+| DataX 内部类型| Phoenix 数据类型    |
+| -------- | -----  |
+| String     |CHAR, VARCHAR|
+| Bytes   |BINARY, VARBINARY|
+| Bool   |BOOLEAN   | 
+| Long     |INTEGER, TINYINT, SMALLINT, BIGINT  | 
+| Double  |FLOAT, DECIMAL, DOUBLE,   |  
+| Date    |DATE, TIME, TIMESTAMP    | 
+
+
+
+## 4 性能报告
+
+略
+
+## 5 约束限制
+
+* 切分表时切分列仅支持单个列，且该列必须是表主键
+* 不设置splitPoint默认使用自动切分，此时切分列仅支持整形和字符型
+* 表名和SCHEMA名及列名大小写敏感，请与Phoenix表实际大小写保持一致
+* 仅支持通过Phoenix QeuryServer读取数据，因此您的Phoenix必须启动QueryServer服务才能使用本插件
+
+## 6 FAQ
+
+***
+
+
--- a/hbase20xsqlreader/pom.xml
+++ b/hbase20xsqlreader/pom.xml
@ -0,0 +1,116 @@
+<?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>hbase20xsqlreader</artifactId>
+    <version>0.0.1-SNAPSHOT</version>
+    <packaging>jar</packaging>
+
+    <properties>
+        <phoenix.version>5.0.0-HBase-2.0</phoenix.version>
+    </properties>
+
+    <dependencies>
+        <dependency>
+            <groupId>com.alibaba.datax</groupId>
+            <artifactId>datax-common</artifactId>
+            <version>${datax-project-version}</version>
+            <exclusions>
+                <exclusion>
+                    <artifactId>slf4j-log4j12</artifactId>
+                    <groupId>org.slf4j</groupId>
+                </exclusion>
+            </exclusions>
+        </dependency>
+
+        <dependency>
+            <groupId>org.apache.phoenix</groupId>
+            <artifactId>phoenix-queryserver</artifactId>
+            <version>${phoenix.version}</version>
+            <exclusions>
+                <exclusion>
+                    <artifactId>servlet-api</artifactId>
+                    <groupId>javax.servlet</groupId>
+                </exclusion>
+            </exclusions>
+        </dependency>
+
+
+        <dependency>
+            <groupId>junit</groupId>
+            <artifactId>junit</artifactId>
+            <scope>test</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.mockito</groupId>
+            <artifactId>mockito-core</artifactId>
+            <version>2.0.44-beta</version>
+            <scope>test</scope>
+        </dependency>
+        <dependency>
+            <groupId>com.alibaba.datax</groupId>
+            <artifactId>datax-core</artifactId>
+            <version>${datax-project-version}</version>
+            <exclusions>
+                <exclusion>
+                    <groupId>com.alibaba.datax</groupId>
+                    <artifactId>datax-service-face</artifactId>
+                </exclusion>
+            </exclusions>
+            <scope>test</scope>
+        </dependency>
+        <dependency>
+            <groupId>com.alibaba.datax</groupId>
+            <artifactId>plugin-rdbms-util</artifactId>
+            <version>0.0.1-SNAPSHOT</version>
+            <scope>compile</scope>
+        </dependency>
+    </dependencies>
+
+    <build>
+        <resources>
+            <resource>
+                <directory>src/main/java</directory>
+                <includes>
+                    <include>**/*.properties</include>
+                </includes>
+            </resource>
+        </resources>
+        <plugins>
+            <!-- compiler plugin -->
+            <plugin>
+                <artifactId>maven-compiler-plugin</artifactId>
+                <configuration>
+                    <source>1.6</source>
+                    <target>1.6</target>
+                    <encoding>${project-sourceEncoding}</encoding>
+                </configuration>
+            </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>
--- a/hbase20xsqlreader/src/main/assembly/package.xml
+++ b/hbase20xsqlreader/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/reader/hbase20xsqlreader</outputDirectory>
+		</fileSet>
+		<fileSet>
+			<directory>target/</directory>
+			<includes>
+				<include>hbase20xsqlreader-0.0.1-SNAPSHOT.jar</include>
+			</includes>
+			<outputDirectory>plugin/reader/hbase20xsqlreader</outputDirectory>
+		</fileSet>
+	</fileSets>
+
+	<dependencySets>
+		<dependencySet>
+			<useProjectArtifact>false</useProjectArtifact>
+			<outputDirectory>plugin/reader/hbase20xsqlreader/libs</outputDirectory>
+			<scope>runtime</scope>
+		</dependencySet>
+	</dependencySets>
+</assembly>
--- a/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/Constant.java
+++ b/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/Constant.java
@ -0,0 +1,28 @@
+package com.alibaba.datax.plugin.reader.hbase20xsqlreader;
+
+public class Constant {
+    public static final String PK_TYPE = "pkType";
+
+    public static final Object PK_TYPE_STRING = "pkTypeString";
+
+    public static final Object PK_TYPE_LONG = "pkTypeLong";
+
+    public static final String DEFAULT_SERIALIZATION = "PROTOBUF";
+
+    public static final String CONNECT_STRING_TEMPLATE = "jdbc:phoenix:thin:url=%s;serialization=%s";
+
+    public static final String CONNECT_DRIVER_STRING = "org.apache.phoenix.queryserver.client.Driver";
+
+    public static final String SELECT_COLUMNS_TEMPLATE = "SELECT COLUMN_NAME, COLUMN_FAMILY FROM SYSTEM.CATALOG WHERE TABLE_NAME='%s' AND COLUMN_NAME IS NOT NULL";
+
+    public static String QUERY_SQL_TEMPLATE_WITHOUT_WHERE = "select %s from %s ";
+
+    public static String QUERY_SQL_TEMPLATE = "select %s from %s where (%s)";
+
+    public static String QUERY_MIN_MAX_TEMPLATE = "SELECT MIN(%s),MAX(%s) FROM %s";
+
+    public static String QUERY_COLUMN_TYPE_TEMPLATE = "SELECT %s FROM %s LIMIT 1";
+
+    public static String QUERY_SQL_PER_SPLIT = "querySqlPerSplit";
+
+}
--- a/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/HBase20SQLReaderHelper.java
+++ b/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/HBase20SQLReaderHelper.java
@ -0,0 +1,403 @@
+package com.alibaba.datax.plugin.reader.hbase20xsqlreader;
+
+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.RdbmsRangeSplitWrap;
+import org.apache.commons.lang3.StringUtils;
+import org.apache.commons.lang3.tuple.ImmutablePair;
+import org.apache.commons.lang3.tuple.Pair;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.math.BigInteger;
+import java.sql.*;
+import java.util.ArrayList;
+import java.util.List;
+
+public class HBase20SQLReaderHelper {
+    private static final Logger LOG = LoggerFactory.getLogger(HBase20SQLReaderHelper.class);
+
+    private Configuration configuration;
+
+    private Connection connection;
+    private List<String> querySql;
+    private String fullTableName;
+    private List<String> columnNames;
+    private String splitKey;
+    private List<Object> splitPoints;
+
+
+    public HBase20SQLReaderHelper (Configuration configuration) {
+        this.configuration = configuration;
+    }
+    /**
+     *  校验配置参数是否正确
+     */
+    public void validateParameter() {
+        // queryserver地址必须配置
+        String queryServerAddress = configuration.getNecessaryValue(Key.QUERYSERVER_ADDRESS,
+                HBase20xSQLReaderErrorCode.REQUIRED_VALUE);
+        String serialization = configuration.getString(Key.SERIALIZATION_NAME, Constant.DEFAULT_SERIALIZATION);
+        connection = getConnection(queryServerAddress, serialization);
+
+        //判断querySql是否配置，如果配置则table配置可为空，否则table必须配置
+        querySql = configuration.getList(Key.QUERY_SQL, String.class);
+        if (querySql == null || querySql.isEmpty()) {
+            LOG.info("Split according to splitKey or split points.");
+
+            String schema = configuration.getString(Key.SCHEMA, null);
+            String tableName = configuration.getNecessaryValue(Key.TABLE, HBase20xSQLReaderErrorCode.REQUIRED_VALUE);
+            if (schema != null && !schema.isEmpty()) {
+                fullTableName = schema + "." + tableName;
+            } else {
+                fullTableName = tableName;
+            }
+            // 如果列名未配置，默认读取全部列*
+            columnNames = configuration.getList(Key.COLUMN, String.class);
+            splitKey = configuration.getString(Key.SPLIT_KEY, null);
+            splitPoints = configuration.getList(Key.SPLIT_POINT);
+            checkTable(schema, tableName);
+            dealWhere();
+        } else {
+            // 用户指定querySql，切分不做处理，根据给定sql读取数据即可
+            LOG.info("Split according to query sql.");
+        }
+    }
+
+    public Connection getConnection(String queryServerAddress, String serialization) {
+        String url = String.format(Constant.CONNECT_STRING_TEMPLATE, queryServerAddress, serialization);
+        LOG.debug("Connecting to QueryServer [" + url + "] ...");
+        Connection conn;
+        try {
+            Class.forName(Constant.CONNECT_DRIVER_STRING);
+            conn = DriverManager.getConnection(url);
+            conn.setAutoCommit(false);
+        } catch (Throwable e) {
+            throw DataXException.asDataXException(HBase20xSQLReaderErrorCode.GET_QUERYSERVER_CONNECTION_ERROR,
+                    "无法连接QueryServer，配置不正确或服务未启动，请检查配置和服务状态或者联系HBase管理员.", e);
+        }
+        LOG.debug("Connected to QueryServer successfully.");
+        return conn;
+    }
+
+    /**
+     * 检查表名、列名和切分列是否存在
+     */
+    public void checkTable(String schema, String tableName) {
+        Statement statement = null;
+        ResultSet resultSet = null;
+        try {
+            statement = connection.createStatement();
+            String selectSql = String.format(Constant.SELECT_COLUMNS_TEMPLATE, tableName);
+
+            // 处理schema不为空情况
+            if (schema == null || schema.isEmpty()) {
+                selectSql = selectSql + " AND TABLE_SCHEM IS NULL";
+            } else {
+                selectSql = selectSql + " AND TABLE_SCHEM = '" + schema + "'";
+            }
+            resultSet = statement.executeQuery(selectSql);
+            List<String> primaryColumnNames = new ArrayList<String>();
+            List<String> allColumnName = new ArrayList<String>();
+            while (resultSet.next()) {
+                String columnName = resultSet.getString(1);
+                allColumnName.add(columnName);
+                // 列族为空表示该列为主键列
+                if (resultSet.getString(2) == null) {
+                    primaryColumnNames.add(columnName);
+                }
+            }
+            if (columnNames != null && !columnNames.isEmpty()) {
+                for (String columnName : columnNames) {
+                    if (!allColumnName.contains(columnName)) {
+                        // 用户配置的列名在元数据中不存在
+                        throw DataXException.asDataXException(HBase20xSQLReaderErrorCode.ILLEGAL_VALUE,
+                                "您配置的列" + columnName + "在表" + tableName + "的元数据中不存在，请检查您的配置或者联系HBase管理员.");
+                    }
+                }
+            } else {
+                columnNames = allColumnName;
+                configuration.set(Key.COLUMN, allColumnName);
+            }
+            if (splitKey != null) {
+                // 切分列必须是主键列，否则会严重影响读取性能
+                if (!primaryColumnNames.contains(splitKey)) {
+                    throw DataXException.asDataXException(HBase20xSQLReaderErrorCode.ILLEGAL_VALUE,
+                            "您配置的切分列" + splitKey + "不是表" + tableName + "的主键，请检查您的配置或者联系HBase管理员.");
+                }
+            }
+
+        } catch (SQLException e) {
+            throw DataXException.asDataXException(HBase20xSQLReaderErrorCode.GET_PHOENIX_TABLE_ERROR,
+                    "获取表" + tableName + "信息失败，请检查您的集群和表状态或者联系HBase管理员.", e);
+
+        } finally {
+            closeJdbc(null, statement, resultSet);
+        }
+    }
+
+    public void closeJdbc(Connection connection, Statement statement, ResultSet resultSet) {
+        try {
+            if (resultSet != null) {
+                resultSet.close();
+            }
+            if (statement != null) {
+                statement.close();
+            }
+            if (connection != null) {
+                connection.close();
+            }
+        } catch (SQLException e) {
+            LOG.warn("数据库连接关闭异常.", HBase20xSQLReaderErrorCode.CLOSE_PHOENIX_CONNECTION_ERROR, e);
+        }
+    }
+
+    public void dealWhere() {
+        String where = configuration.getString(Key.WHERE, null);
+        if(StringUtils.isNotBlank(where)) {
+            String whereImprove = where.trim();
+            if(whereImprove.endsWith(";") || whereImprove.endsWith("；")) {
+                whereImprove = whereImprove.substring(0,whereImprove.length()-1);
+            }
+            configuration.set(Key.WHERE, whereImprove);
+        }
+    }
+
+    /**
+     * 对表进行切分
+     */
+    public List<Configuration> doSplit(int adviceNumber) {
+        List<Configuration> pluginParams = new ArrayList<Configuration>();
+        List<String> rangeList;
+        String where = configuration.getString(Key.WHERE);
+        boolean hasWhere = StringUtils.isNotBlank(where);
+        if (querySql == null || querySql.isEmpty()) {
+            // 如果splitPoints为空，则根据splitKey自动切分，不过这种切分方式无法保证数据均分，且只支持整形和字符型列
+            if (splitPoints == null || splitPoints.isEmpty()) {
+                LOG.info("Split accoring min and max value of splitColumn...");
+                Pair<Object, Object> minMaxPK = getPkRange(configuration);
+                if (null == minMaxPK) {
+                    throw DataXException.asDataXException(HBase20xSQLReaderErrorCode.ILLEGAL_SPLIT_PK,
+                            "根据切分主键切分表失败. DataX仅支持切分主键为一个,并且类型为整数或者字符串类型. " +
+                                    "请尝试使用其他的切分主键或者联系 HBase管理员 进行处理.");
+                }
+                if (null == minMaxPK.getLeft() || null == minMaxPK.getRight()) {
+                    // 切分后获取到的start/end 有 Null 的情况
+                    pluginParams.add(configuration);
+                    return pluginParams;
+                }
+                boolean isStringType = Constant.PK_TYPE_STRING.equals(configuration
+                        .getString(Constant.PK_TYPE));
+                boolean isLongType = Constant.PK_TYPE_LONG.equals(configuration
+                        .getString(Constant.PK_TYPE));
+                if (isStringType) {
+                    rangeList = RdbmsRangeSplitWrap.splitAndWrap(
+                            String.valueOf(minMaxPK.getLeft()),
+                            String.valueOf(minMaxPK.getRight()), adviceNumber,
+                            splitKey, "'", null);
+                } else if (isLongType) {
+                    rangeList = RdbmsRangeSplitWrap.splitAndWrap(
+                            new BigInteger(minMaxPK.getLeft().toString()),
+                            new BigInteger(minMaxPK.getRight().toString()),
+                            adviceNumber, splitKey);
+                } else {
+                    throw DataXException.asDataXException(HBase20xSQLReaderErrorCode.ILLEGAL_SPLIT_PK,
+                            "您配置的切分主键(splitPk) 类型 DataX 不支持. DataX 仅支持切分主键为一个,并且类型为整数或者字符串类型. " +
+                                    "请尝试使用其他的切分主键或者联系HBase管理员进行处理.");
+                }
+
+            } else {
+                LOG.info("Split accoring splitPoints...");
+                // 根据指定splitPoints进行切分
+                rangeList = buildSplitRange();
+            }
+            String tempQuerySql;
+            if (null != rangeList && !rangeList.isEmpty()) {
+                for (String range : rangeList) {
+                    Configuration tempConfig = configuration.clone();
+
+                    tempQuerySql = buildQuerySql(columnNames, fullTableName, where)
+                            + (hasWhere ? " and " : " where ") + range;
+                    LOG.info("Query SQL: " + tempQuerySql);
+                    tempConfig.set(Constant.QUERY_SQL_PER_SPLIT, tempQuerySql);
+                    pluginParams.add(tempConfig);
+                }
+            } else {
+                Configuration tempConfig = configuration.clone();
+                tempQuerySql = buildQuerySql(columnNames, fullTableName, where)
+                        + (hasWhere ? " and " : " where ")
+                        + String.format(" %s IS NOT NULL", splitKey);
+                LOG.info("Query SQL: " + tempQuerySql);
+                tempConfig.set(Constant.QUERY_SQL_PER_SPLIT, tempQuerySql);
+                pluginParams.add(tempConfig);
+            }
+        } else {
+            // 指定querySql不需要切分
+            for (String sql : querySql) {
+                Configuration tempConfig = configuration.clone();
+                tempConfig.set(Constant.QUERY_SQL_PER_SPLIT, sql);
+                pluginParams.add(tempConfig);
+            }
+        }
+        return pluginParams;
+    }
+
+    public static String buildQuerySql(List<String> columnNames, String table,
+                                       String where) {
+        String querySql;
+        StringBuilder columnBuilder = new StringBuilder();
+        for (String columnName : columnNames) {
+            columnBuilder.append(columnName).append(",");
+        }
+        columnBuilder.setLength(columnBuilder.length() -1);
+        if (StringUtils.isBlank(where)) {
+            querySql = String.format(Constant.QUERY_SQL_TEMPLATE_WITHOUT_WHERE,
+                    columnBuilder.toString(), table);
+        } else {
+            querySql = String.format(Constant.QUERY_SQL_TEMPLATE, columnBuilder.toString(),
+                    table, where);
+        }
+        return querySql;
+    }
+
+    private List<String> buildSplitRange() {
+        String getSplitKeyTypeSQL = String.format(Constant.QUERY_COLUMN_TYPE_TEMPLATE, splitKey, fullTableName);
+        Statement statement = null;
+        ResultSet resultSet = null;
+        List<String> splitConditions = new ArrayList<String>();
+
+        try {
+            statement = connection.createStatement();
+            resultSet = statement.executeQuery(getSplitKeyTypeSQL);
+            ResultSetMetaData rsMetaData = resultSet.getMetaData();
+            int type = rsMetaData.getColumnType(1);
+            String symbol = "%s";
+            switch (type) {
+                case Types.CHAR:
+                case Types.VARCHAR:
+                    symbol = "'%s'";
+                    break;
+                case Types.DATE:
+                    symbol = "TO_DATE('%s')";
+                    break;
+                case Types.TIME:
+                    symbol = "TO_TIME('%s')";
+                    break;
+                case Types.TIMESTAMP:
+                    symbol = "TO_TIMESTAMP('%s')";
+                    break;
+                case Types.BINARY:
+                case Types.VARBINARY:
+                case Types.ARRAY:
+                    throw DataXException.asDataXException(HBase20xSQLReaderErrorCode.ILLEGAL_SPLIT_PK,
+                            "切分列类型为" + rsMetaData.getColumnTypeName(1) + "，暂不支持该类型字段作为切分列。");
+            }
+            String splitCondition = null;
+            for (int i = 0; i <= splitPoints.size(); i++) {
+                if (i == 0) {
+                    splitCondition = splitKey + " <= " + String.format(symbol, splitPoints.get(i));
+                } else if (i == splitPoints.size()) {
+                    splitCondition = splitKey + " > " + String.format(symbol, splitPoints.get(i - 1));
+                } else {
+                    splitCondition = splitKey + " > " + String.format(symbol, splitPoints.get(i - 1)) +
+                            " AND " + splitKey + " <= " + String.format(symbol, splitPoints.get(i));
+                }
+                splitConditions.add(splitCondition);
+            }
+
+            return splitConditions;
+        } catch (SQLException e) {
+            throw DataXException.asDataXException(HBase20xSQLReaderErrorCode.GET_TABLE_COLUMNTYPE_ERROR,
+                    "获取切分列类型失败，请检查服务或给定表和切分列是否正常，或者联系HBase管理员进行处理。", e);
+        } finally {
+            closeJdbc(null, statement, resultSet);
+        }
+
+    }
+
+    private Pair<Object, Object> getPkRange(Configuration configuration) {
+        String pkRangeSQL = String.format(Constant.QUERY_MIN_MAX_TEMPLATE, splitKey, splitKey, fullTableName);
+        String where = configuration.getString(Key.WHERE);
+        if (StringUtils.isNotBlank(where)) {
+            pkRangeSQL = String.format("%s WHERE (%s AND %s IS NOT NULL)",
+                    pkRangeSQL, where, splitKey);
+        }
+        Statement statement = null;
+        ResultSet resultSet = null;
+        Pair<Object, Object> minMaxPK = null;
+
+        try {
+            statement = connection.createStatement();
+            resultSet = statement.executeQuery(pkRangeSQL);
+            ResultSetMetaData rsMetaData = resultSet.getMetaData();
+
+            if (isPKTypeValid(rsMetaData)) {
+                if (isStringType(rsMetaData.getColumnType(1))) {
+                    if(configuration != null) {
+                        configuration
+                                .set(Constant.PK_TYPE, Constant.PK_TYPE_STRING);
+                    }
+                    if (resultSet.next()) {
+                        minMaxPK = new ImmutablePair<Object, Object>(
+                                resultSet.getString(1), resultSet.getString(2));
+                    }
+                } else if (isLongType(rsMetaData.getColumnType(1))) {
+                    if(configuration != null) {
+                        configuration.set(Constant.PK_TYPE, Constant.PK_TYPE_LONG);
+                    }
+                    if (resultSet.next()) {
+                        minMaxPK = new ImmutablePair<Object, Object>(
+                                resultSet.getLong(1), resultSet.getLong(2));
+                    }
+                } else {
+                    throw DataXException.asDataXException(HBase20xSQLReaderErrorCode.ILLEGAL_SPLIT_PK,
+                            "您配置的DataX切分主键(splitPk)有误. 因为您配置的切分主键(splitPk) 类型 DataX 不支持. " +
+                                    "DataX 仅支持切分主键为一个,并且类型为整数或者字符串类型. 请尝试使用其他的切分主键或者联系HBASE管理员进行处理.");
+                }
+            } else {
+                throw DataXException.asDataXException(HBase20xSQLReaderErrorCode.ILLEGAL_SPLIT_PK,
+                        "您配置的DataX切分主键(splitPk)有误. 因为您配置的切分主键(splitPk) 类型 DataX 不支持. " +
+                                "DataX 仅支持切分主键为一个,并且类型为整数或者字符串类型. 请尝试使用其他的切分主键或者联系HBASE管理员进行处理.");
+            }
+        } catch (SQLException e) {
+            throw DataXException.asDataXException(HBase20xSQLReaderErrorCode.ILLEGAL_SPLIT_PK, e);
+        } finally {
+            closeJdbc(null, statement, resultSet);
+        }
+
+        return minMaxPK;
+    }
+
+    private static boolean isPKTypeValid(ResultSetMetaData rsMetaData) {
+        boolean ret = false;
+        try {
+            int minType = rsMetaData.getColumnType(1);
+            int maxType = rsMetaData.getColumnType(2);
+
+            boolean isNumberType = isLongType(minType);
+
+            boolean isStringType = isStringType(minType);
+
+            if (minType == maxType && (isNumberType || isStringType)) {
+                ret = true;
+            }
+        } catch (Exception e) {
+            throw DataXException.asDataXException(DBUtilErrorCode.ILLEGAL_SPLIT_PK,
+                    "DataX获取切分主键(splitPk)字段类型失败. 该错误通常是系统底层异常导致. 请联系旺旺:askdatax或者DBA处理.");
+        }
+        return ret;
+    }
+
+    private static boolean isLongType(int type) {
+        boolean isValidLongType = type == Types.BIGINT || type == Types.INTEGER
+                || type == Types.SMALLINT || type == Types.TINYINT;
+        return isValidLongType;
+    }
+
+    private static boolean isStringType(int type) {
+        return type == Types.CHAR || type == Types.NCHAR
+                || type == Types.VARCHAR || type == Types.LONGVARCHAR
+                || type == Types.NVARCHAR;
+    }
+}
--- a/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/HBase20xSQLReader.java
+++ b/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/HBase20xSQLReader.java
@ -0,0 +1,53 @@
+package com.alibaba.datax.plugin.reader.hbase20xsqlreader;
+
+import com.alibaba.datax.common.plugin.RecordSender;
+import com.alibaba.datax.common.spi.Reader;
+import com.alibaba.datax.common.util.Configuration;
+
+import java.util.List;
+
+public class HBase20xSQLReader extends Reader {
+
+    public static class Job extends Reader.Job {
+        private Configuration originalConfig;
+        private HBase20SQLReaderHelper readerHelper;
+        @Override
+        public void init() {
+            this.originalConfig = this.getPluginJobConf();
+            this.readerHelper = new HBase20SQLReaderHelper(this.originalConfig);
+            readerHelper.validateParameter();
+        }
+
+        @Override
+        public List<Configuration> split(int adviceNumber) {
+            return readerHelper.doSplit(adviceNumber);
+        }
+
+        @Override
+        public void destroy() {
+            // do nothing
+        }
+    }
+
+    public static class Task extends Reader.Task {
+        private Configuration readerConfig;
+        private HBase20xSQLReaderTask hbase20xSQLReaderTask;
+
+        @Override
+        public void init() {
+            this.readerConfig = super.getPluginJobConf();
+            hbase20xSQLReaderTask = new HBase20xSQLReaderTask(readerConfig, super.getTaskGroupId(), super.getTaskId());
+        }
+
+        @Override
+        public void startRead(RecordSender recordSender) {
+            hbase20xSQLReaderTask.readRecord(recordSender);
+        }
+
+        @Override
+        public void destroy() {
+            // do nothing
+        }
+
+    }
+}
--- a/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/HBase20xSQLReaderErrorCode.java
+++ b/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/HBase20xSQLReaderErrorCode.java
@ -0,0 +1,39 @@
+package com.alibaba.datax.plugin.reader.hbase20xsqlreader;
+
+import com.alibaba.datax.common.spi.ErrorCode;
+
+public enum HBase20xSQLReaderErrorCode implements ErrorCode {
+    REQUIRED_VALUE("Hbasewriter-00", "您缺失了必须填写的参数值."),
+    ILLEGAL_VALUE("Hbasewriter-01", "您填写的参数值不合法."),
+    GET_QUERYSERVER_CONNECTION_ERROR("Hbasewriter-02", "获取QueryServer连接时出错."),
+    GET_PHOENIX_TABLE_ERROR("Hbasewriter-03", "获取 Phoenix table时出错."),
+    GET_TABLE_COLUMNTYPE_ERROR("Hbasewriter-05", "获取表列类型时出错."),
+    CLOSE_PHOENIX_CONNECTION_ERROR("Hbasewriter-06", "关闭JDBC连接时时出错."),
+    ILLEGAL_SPLIT_PK("Hbasewriter-07", "非法splitKey配置."),
+    PHOENIX_COLUMN_TYPE_CONVERT_ERROR("Hbasewriter-08", "phoenix的列类型转换错误."),
+    QUERY_DATA_ERROR("Hbasewriter-09", "truncate hbase表时发生异常."),
+    ;
+
+    private final String code;
+    private final String description;
+
+    private HBase20xSQLReaderErrorCode(String code, String description) {
+        this.code = code;
+        this.description = description;
+    }
+
+    @Override
+    public String getCode() {
+        return this.code;
+    }
+
+    @Override
+    public String getDescription() {
+        return this.description;
+    }
+
+    @Override
+    public String toString() {
+        return String.format("Code:[%s], Description:[%s].", this.code, this.description);
+    }
+}
--- a/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/HBase20xSQLReaderTask.java
+++ b/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/HBase20xSQLReaderTask.java
@ -0,0 +1,121 @@
+package com.alibaba.datax.plugin.reader.hbase20xsqlreader;
+
+import com.alibaba.datax.common.element.*;
+import com.alibaba.datax.common.exception.DataXException;
+import com.alibaba.datax.common.plugin.RecordSender;
+import com.alibaba.datax.common.statistics.PerfRecord;
+import com.alibaba.datax.common.util.Configuration;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.math.BigDecimal;
+import java.sql.*;
+
+public class HBase20xSQLReaderTask {
+    private static final Logger LOG = LoggerFactory.getLogger(HBase20xSQLReaderTask.class);
+
+    private Configuration readerConfig;
+    private int taskGroupId = -1;
+    private int taskId=-1;
+
+    public HBase20xSQLReaderTask(Configuration config, int taskGroupId, int taskId) {
+        this.readerConfig = config;
+        this.taskGroupId = taskGroupId;
+        this.taskId = taskId;
+    }
+
+    public void readRecord(RecordSender recordSender) {
+        String querySql = readerConfig.getString(Constant.QUERY_SQL_PER_SPLIT);
+        LOG.info("Begin to read record by Sql: [{}\n] {}.", querySql);
+        HBase20SQLReaderHelper helper = new HBase20SQLReaderHelper(readerConfig);
+        Connection conn = helper.getConnection(readerConfig.getString(Key.QUERYSERVER_ADDRESS),
+                readerConfig.getString(Key.SERIALIZATION_NAME, Constant.DEFAULT_SERIALIZATION));
+        Statement statement = null;
+        ResultSet resultSet = null;
+        try {
+            long rsNextUsedTime = 0;
+            long lastTime = System.nanoTime();
+            statement = conn.createStatement();
+            // 统计查询时间
+            PerfRecord queryPerfRecord = new PerfRecord(taskGroupId,taskId, PerfRecord.PHASE.SQL_QUERY);
+            queryPerfRecord.start();
+
+            resultSet = statement.executeQuery(querySql);
+            ResultSetMetaData meta = resultSet.getMetaData();
+            int columnNum = meta.getColumnCount();
+            // 统计的result_Next时间
+            PerfRecord allResultPerfRecord = new PerfRecord(taskGroupId, taskId, PerfRecord.PHASE.RESULT_NEXT_ALL);
+            allResultPerfRecord.start();
+
+            while (resultSet.next()) {
+                Record record = recordSender.createRecord();
+                rsNextUsedTime += (System.nanoTime() - lastTime);
+                for (int i = 1; i <= columnNum; i++) {
+                    Column column = this.convertPhoenixValueToDataxColumn(meta.getColumnType(i), resultSet.getObject(i));
+                    record.addColumn(column);
+                }
+                lastTime = System.nanoTime();
+                recordSender.sendToWriter(record);
+            }
+            allResultPerfRecord.end(rsNextUsedTime);
+            LOG.info("Finished read record by Sql: [{}\n] {}.", querySql);
+        } catch (SQLException e) {
+            throw DataXException.asDataXException(
+                    HBase20xSQLReaderErrorCode.QUERY_DATA_ERROR, "查询Phoenix数据出现异常，请检查服务状态或与HBase管理员联系！", e);
+        } finally {
+            helper.closeJdbc(conn, statement, resultSet);
+        }
+
+    }
+
+    private Column convertPhoenixValueToDataxColumn(int sqlType, Object value) {
+        Column column;
+        switch (sqlType) {
+            case Types.CHAR:
+            case Types.VARCHAR:
+                column = new StringColumn((String) value);
+                break;
+            case Types.BINARY:
+            case Types.VARBINARY:
+                column = new BytesColumn((byte[]) value);
+                break;
+            case Types.BOOLEAN:
+                column = new BoolColumn((Boolean) value);
+                break;
+            case Types.INTEGER:
+                column = new LongColumn((Integer) value);
+                break;
+            case Types.TINYINT:
+                column = new LongColumn(((Byte) value).longValue());
+                break;
+            case Types.SMALLINT:
+                column = new LongColumn(((Short) value).longValue());
+                break;
+            case Types.BIGINT:
+                column = new LongColumn((Long) value);
+                break;
+            case Types.FLOAT:
+                column = new DoubleColumn((Float.valueOf(value.toString())));
+                break;
+            case Types.DECIMAL:
+                column = new DoubleColumn((BigDecimal)value);
+                break;
+            case Types.DOUBLE:
+                column = new DoubleColumn((Double) value);
+                break;
+            case Types.DATE:
+                column = new DateColumn((Date) value);
+                break;
+            case Types.TIME:
+                column = new DateColumn((Time) value);
+                break;
+            case Types.TIMESTAMP:
+                column = new DateColumn((Timestamp) value);
+                break;
+            default:
+                throw DataXException.asDataXException(
+                        HBase20xSQLReaderErrorCode.PHOENIX_COLUMN_TYPE_CONVERT_ERROR, "遇到不可识别的phoenix类型，" + "sqlType :" + sqlType);
+        }
+        return column;
+    }
+}
--- a/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/Key.java
+++ b/hbase20xsqlreader/src/main/java/com/alibaba/datax/plugin/reader/hbase20xsqlreader/Key.java
@ -0,0 +1,40 @@
+package com.alibaba.datax.plugin.reader.hbase20xsqlreader;
+
+public class Key {
+    /**
+     * 【必选】writer要读取的表的表名
+     */
+    public final static String TABLE = "table";
+    /**
+     * 【必选】writer要读取哪些列
+     */
+    public final static String COLUMN = "column";
+    /**
+     * 【必选】Phoenix QueryServer服务地址
+     */
+    public final static String QUERYSERVER_ADDRESS = "queryServerAddress";
+    /**
+     * 【可选】序列化格式，默认为PROTOBUF
+     */
+    public static final String SERIALIZATION_NAME = "serialization";
+    /**
+     * 【可选】Phoenix表所属schema，默认为空
+     */
+    public static final String SCHEMA = "schema";
+    /**
+     * 【可选】读取数据时切分列
+     */
+    public static final String SPLIT_KEY = "splitKey";
+    /**
+     * 【可选】读取数据时切分点
+     */
+    public static final String SPLIT_POINT = "splitPoint";
+    /**
+     * 【可选】读取数据过滤条件配置
+     */
+    public static final String WHERE = "where";
+    /**
+     * 【可选】查询语句配置
+     */
+    public static final String QUERY_SQL = "querySql";
+}
--- a/hbase20xsqlreader/src/main/resources/plugin.json
+++ b/hbase20xsqlreader/src/main/resources/plugin.json
@ -0,0 +1,7 @@
+{
+    "name": "hbase20xsqlreader",
+    "class": "com.alibaba.datax.plugin.reader.hbase20xsqlreader.HBase20xSQLReader",
+    "description": "useScene: prod. mechanism: read data from phoenix through queryserver.",
+    "developer": "bake"
+}
+
--- a/hbase20xsqlreader/src/main/resources/plugin_job_template.json
+++ b/hbase20xsqlreader/src/main/resources/plugin_job_template.json
@ -0,0 +1,13 @@
+{
+    "name": "hbase20xsqlreader",
+    "parameter": {
+        "queryserverAddress": "",
+        "serialization": "PROTOBUF",
+        "schema": "",
+        "table": "TABLE1",
+        "column": ["ID", "NAME"],
+        "splitKey": "rowkey",
+        "splitPoint":[],
+        "where": ""
+    }
+}
--- a/hbase20xsqlwriter/doc/hbase20xsqlwriter.md
+++ b/hbase20xsqlwriter/doc/hbase20xsqlwriter.md
@ -0,0 +1,164 @@
+# HBase20xsqlwriter插件文档
+
+## 1. 快速介绍
+
+HBase20xsqlwriter实现了向hbase中的SQL表(phoenix)批量导入数据的功能。Phoenix因为对rowkey做了数据编码，所以，直接使用HBaseAPI进行写入会面临手工数据转换的问题，麻烦且易错。本插件提供了SQL方式直接向Phoenix表写入数据。
+
+在底层实现上，通过Phoenix QueryServer的轻客户端驱动，执行UPSERT语句向Phoenix写入数据。
+
+### 1.1 支持的功能
+
+* 支持带索引的表的数据导入，可以同步更新所有的索引表
+
+
+### 1.2 限制
+
+* 要求版本为Phoenix5.x及HBase2.x
+* 仅支持通过Phoenix QeuryServer导入数据，因此您Phoenix必须启动QueryServer服务才能使用本插件
+* 不支持清空已有表数据
+* 仅支持通过phoenix创建的表，不支持原生HBase表
+* 不支持带时间戳的数据导入
+
+## 2. 实现原理
+
+通过Phoenix轻客户端，连接Phoenix QueryServer服务，执行UPSERT语句向表中批量写入数据。因为使用上层接口，所以，可以同步更新索引表。
+
+## 3. 配置说明
+
+### 3.1 配置样例
+
+```json
+{
+  "job": {
+    "entry": {
+      "jvm": "-Xms2048m -Xmx2048m"
+    },
+    "content": [
+      {
+        "reader": {
+          "name": "txtfilereader",
+          "parameter": {
+            "path": "/Users/shf/workplace/datax_test/hbase20xsqlwriter/txt/normal.txt",
+            "charset": "UTF-8",
+            "column": [
+              {
+                "index": 0,
+                "type": "String"
+              },
+              {
+                "index": 1,
+                "type": "string"
+              },
+              {
+                "index": 2,
+                "type": "string"
+              },
+              {
+                "index": 3,
+                "type": "string"
+              }
+            ],
+            "fieldDelimiter": ","
+          }
+        },
+        "writer": {
+          "name": "hbase20xsqlwriter",
+          "parameter": {
+            "batchSize": "100",
+            "column": [
+              "UID",
+              "TS",
+              "EVENTID",
+              "CONTENT"
+            ],
+            "queryServerAddress": "http://127.0.0.1:8765",
+            "nullMode": "skip",
+            "table": "目标hbase表名，大小写有关"
+          }
+        }
+      }
+    ],
+    "setting": {
+      "speed": {
+        "channel": 5
+      }
+    }
+  }
+}
+```
+
+
+### 3.2 参数说明
+
+* **name**
+
+   * 描述：插件名字，必须是`hbase11xsqlwriter`
+   * 必选：是
+   * 默认值：无
+
+* **table**
+
+   * 描述：要导入的表名，大小写敏感，通常phoenix表都是**大写**表名
+   * 必选：是
+   * 默认值：无
+
+* **column**
+
+   * 描述：列名，大小写敏感，通常phoenix的列名都是**大写**。
+       * 需要注意列的顺序，必须与reader输出的列的顺序一一对应。
+       * 不需要填写数据类型，会自动从phoenix获取列的元数据
+   * 必选：是
+   * 默认值：无
+
+* **queryServerAddress**
+
+   * 描述：Phoenix QueryServer地址，为必填项，格式：http://${hostName}:${ip}，如http://172.16.34.58:8765
+   * 必选：是
+   * 默认值：无
+   
+* **serialization**
+ 
+    * 描述：QueryServer使用的序列化协议
+	* 必选：否 
+	* 默认值：PROTOBUF
+	
+* **batchSize**
+
+   * 描述：批量写入的最大行数
+   * 必选：否
+   * 默认值：256
+
+* **nullMode**
+
+   * 描述：读取到的列值为null时，如何处理。目前有两种方式：
+      * skip：跳过这一列，即不插入这一列(如果该行的这一列之前已经存在，则会被删除)
+      * empty：插入空值，值类型的空值是0，varchar的空值是空字符串
+   * 必选：否
+   * 默认值：skip
+
+## 4. 性能报告
+
+无
+
+## 5. 约束限制
+
+writer中的列的定义顺序必须与reader的列顺序匹配。reader中的列顺序定义了输出的每一行中，列的组织顺序。而writer的列顺序，定义的是在收到的数据中，writer期待的列的顺序。例如：
+
+reader的列顺序是： c1, c2, c3, c4
+
+writer的列顺序是： x1, x2, x3, x4
+
+则reader输出的列c1就会赋值给writer的列x1。如果writer的列顺序是x1, x2, x4, x3，则c3会赋值给x4，c4会赋值给x3.
+
+
+## 6. FAQ
+
+1. 并发开多少合适？速度慢时增加并发有用吗？
+   数据导入进程默认JVM的堆大小是2GB，并发(channel数)是通过多线程实现的，开过多的线程有时并不能提高导入速度，反而可能因为过于频繁的GC导致性能下降。一般建议并发数(channel)为5-10.
+
+2. batchSize设置多少比较合适？
+默认是256，但应根据每行的大小来计算最合适的batchSize。通常一次操作的数据量在2MB-4MB左右，用这个值除以行大小，即可得到batchSize。
+
+
+
+
--- a/hbase20xsqlwriter/pom.xml
+++ b/hbase20xsqlwriter/pom.xml
@ -0,0 +1,107 @@
+<?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>hbase20xsqlwriter</artifactId>
+    <version>0.0.1-SNAPSHOT</version>
+    <packaging>jar</packaging>
+
+    <properties>
+        <phoenix.version>5.0.0-HBase-2.0</phoenix.version>
+        <avatica.version>1.12.0</avatica.version>
+        <commons-codec.version>1.8</commons-codec.version>
+    </properties>
+
+    <dependencies>
+        <dependency>
+            <groupId>com.alibaba.datax</groupId>
+            <artifactId>datax-common</artifactId>
+            <version>${datax-project-version}</version>
+            <exclusions>
+                <exclusion>
+                    <artifactId>slf4j-log4j12</artifactId>
+                    <groupId>org.slf4j</groupId>
+                </exclusion>
+            </exclusions>
+        </dependency>
+        <dependency>
+            <groupId>org.apache.phoenix</groupId>
+            <artifactId>phoenix-queryserver</artifactId>
+            <version>${phoenix.version}</version>
+        </dependency>
+
+        <!-- for test -->
+        <dependency>
+            <groupId>junit</groupId>
+            <artifactId>junit</artifactId>
+            <scope>test</scope>
+        </dependency>
+        <dependency>
+            <groupId>com.alibaba.datax</groupId>
+            <artifactId>datax-core</artifactId>
+            <version>${datax-project-version}</version>
+            <exclusions>
+                <exclusion>
+                    <groupId>com.alibaba.datax</groupId>
+                    <artifactId>datax-service-face</artifactId>
+                </exclusion>
+            </exclusions>
+            <scope>test</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.mockito</groupId>
+            <artifactId>mockito-all</artifactId>
+            <version>1.9.5</version>
+            <scope>test</scope>
+        </dependency>
+    </dependencies>
+
+    <build>
+        <resources>
+            <resource>
+                <directory>src/main/java</directory>
+                <includes>
+                    <include>**/*.properties</include>
+                </includes>
+            </resource>
+        </resources>
+        <plugins>
+            <!-- compiler plugin -->
+            <plugin>
+                <artifactId>maven-compiler-plugin</artifactId>
+                <configuration>
+                    <source>1.6</source>
+                    <target>1.6</target>
+                    <encoding>${project-sourceEncoding}</encoding>
+                </configuration>
+            </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>
--- a/hbase20xsqlwriter/src/main/assembly/package.xml
+++ b/hbase20xsqlwriter/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/hbase20xsqlwriter</outputDirectory>
+		</fileSet>
+		<fileSet>
+			<directory>target/</directory>
+			<includes>
+				<include>hbase20xsqlwriter-0.0.1-SNAPSHOT.jar</include>
+			</includes>
+			<outputDirectory>plugin/writer/hbase20xsqlwriter</outputDirectory>
+		</fileSet>
+	</fileSets>
+
+	<dependencySets>
+		<dependencySet>
+			<useProjectArtifact>false</useProjectArtifact>
+			<outputDirectory>plugin/writer/hbase20xsqlwriter/libs</outputDirectory>
+			<scope>runtime</scope>
+		</dependencySet>
+	</dependencySets>
+</assembly>
--- a/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/Constant.java
+++ b/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/Constant.java
@ -0,0 +1,17 @@
+package com.alibaba.datax.plugin.writer.hbase20xsqlwriter;
+
+public final class Constant {
+    public static final String DEFAULT_NULL_MODE = "skip";
+    public static final String DEFAULT_SERIALIZATION = "PROTOBUF";
+    public static final int DEFAULT_BATCH_ROW_COUNT = 256;   // 默认一次写256行
+
+    public static final int TYPE_UNSIGNED_TINYINT = 11;
+    public static final int TYPE_UNSIGNED_SMALLINT = 13;
+    public static final int TYPE_UNSIGNED_INTEGER = 9;
+    public static final int TYPE_UNSIGNED_LONG = 10;
+    public static final int TYPE_UNSIGNED_FLOAT = 14;
+    public static final int TYPE_UNSIGNED_DOUBLE = 15;
+    public static final int TYPE_UNSIGNED_DATE = 19;
+    public static final int TYPE_UNSIGNED_TIME = 18;
+    public static final int TYPE_UNSIGNED_TIMESTAMP = 20;
+}
--- a/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/HBase20xSQLHelper.java
+++ b/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/HBase20xSQLHelper.java
@ -0,0 +1,142 @@
+package com.alibaba.datax.plugin.writer.hbase20xsqlwriter;
+
+import com.alibaba.datax.common.exception.DataXException;
+import com.alibaba.datax.common.util.Configuration;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.sql.*;
+import java.util.ArrayList;
+import java.util.List;
+
+public class HBase20xSQLHelper {
+    private static final Logger LOG = LoggerFactory.getLogger(HBase20xSQLHelper.class);
+
+    /**
+     * phoenix瘦客户端连接前缀
+     */
+    public static final String CONNECT_STRING_PREFIX = "jdbc:phoenix:thin:";
+    /**
+     * phoenix驱动名
+     */
+    public static final String CONNECT_DRIVER_STRING = "org.apache.phoenix.queryserver.client.Driver";
+    /**
+     * 从系统表查找配置表信息
+     */
+    public static final String SELECT_CATALOG_TABLE_STRING = "SELECT COLUMN_NAME FROM SYSTEM.CATALOG WHERE TABLE_NAME='%s' AND COLUMN_NAME IS NOT NULL";
+
+    /**
+     * 验证配置参数是否正确
+     */
+    public static void validateParameter(com.alibaba.datax.common.util.Configuration originalConfig) {
+        // 表名和queryserver地址必须配置，否则抛异常
+        String tableName = originalConfig.getNecessaryValue(Key.TABLE, HBase20xSQLWriterErrorCode.REQUIRED_VALUE);
+        String queryServerAddress = originalConfig.getNecessaryValue(Key.QUERYSERVER_ADDRESS, HBase20xSQLWriterErrorCode.REQUIRED_VALUE);
+
+        // 序列化格式，可不配置，默认PROTOBUF
+        String serialization = originalConfig.getString(Key.SERIALIZATION_NAME, Constant.DEFAULT_SERIALIZATION);
+
+        String connStr = getConnectionUrl(queryServerAddress, serialization);
+        // 校验jdbc连接是否正常
+        Connection conn = getThinClientConnection(connStr);
+
+        List<String> columnNames = originalConfig.getList(Key.COLUMN, String.class);
+        if (columnNames == null || columnNames.isEmpty()) {
+            throw DataXException.asDataXException(
+                    HBase20xSQLWriterErrorCode.ILLEGAL_VALUE, "HBase的columns配置不能为空,请添加目标表的列名配置.");
+        }
+        String schema = originalConfig.getString(Key.SCHEMA);
+        // 检查表以及配置列是否存在
+        checkTable(conn, schema, tableName, columnNames);
+    }
+
+    /**
+     * 获取JDBC连接，轻量级连接，使用完后必须显式close
+     */
+    public static Connection getThinClientConnection(String connStr) {
+        LOG.debug("Connecting to QueryServer [" + connStr + "] ...");
+        Connection conn;
+        try {
+            Class.forName(CONNECT_DRIVER_STRING);
+            conn = DriverManager.getConnection(connStr);
+            conn.setAutoCommit(false);
+        } catch (Throwable e) {
+            throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.GET_QUERYSERVER_CONNECTION_ERROR,
+                    "无法连接QueryServer，配置不正确或服务未启动，请检查配置和服务状态或者联系HBase管理员.", e);
+        }
+        LOG.debug("Connected to QueryServer successfully.");
+        return conn;
+    }
+
+    public static Connection getJdbcConnection(Configuration conf) {
+        String queryServerAddress = conf.getNecessaryValue(Key.QUERYSERVER_ADDRESS, HBase20xSQLWriterErrorCode.REQUIRED_VALUE);
+        // 序列化格式，可不配置，默认PROTOBUF
+        String serialization = conf.getString(Key.SERIALIZATION_NAME, "PROTOBUF");
+        String connStr = getConnectionUrl(queryServerAddress, serialization);
+        return getThinClientConnection(connStr);
+    }
+
+
+    public static String getConnectionUrl(String queryServerAddress, String serialization) {
+        String urlFmt = CONNECT_STRING_PREFIX + "url=%s;serialization=%s";
+        return String.format(urlFmt, queryServerAddress, serialization);
+    }
+
+    public static void checkTable(Connection conn, String schema, String tableName, List<String> columnNames) throws DataXException {
+        String selectSystemTable = getSelectSystemSQL(schema, tableName);
+        Statement st = null;
+        ResultSet rs = null;
+        try {
+            st = conn.createStatement();
+            rs = st.executeQuery(selectSystemTable);
+            List<String> allColumns = new ArrayList<String>();
+            if (rs.next()) {
+                allColumns.add(rs.getString(1));
+            } else {
+                LOG.error(tableName + "表不存在，请检查表名是否正确或是否已创建.", HBase20xSQLWriterErrorCode.GET_HBASE_TABLE_ERROR);
+                throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.GET_HBASE_TABLE_ERROR,
+                        tableName + "表不存在，请检查表名是否正确或是否已创建.");
+            }
+            while (rs.next()) {
+                allColumns.add(rs.getString(1));
+            }
+            for (String columnName : columnNames) {
+                if (!allColumns.contains(columnName)) {
+                    // 用户配置的列名在元数据中不存在
+                    throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.ILLEGAL_VALUE,
+                            "您配置的列" + columnName + "在目的表" + tableName + "的元数据中不存在，请检查您的配置或者联系HBase管理员.");
+                }
+            }
+
+        } catch (SQLException t) {
+            throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.GET_HBASE_TABLE_ERROR,
+                    "获取表" + tableName + "信息失败，请检查您的集群和表状态或者联系HBase管理员.", t);
+        } finally {
+            closeJdbc(conn, st, rs);
+        }
+    }
+
+    private static String getSelectSystemSQL(String schema, String tableName) {
+        String sql = String.format(SELECT_CATALOG_TABLE_STRING, tableName);
+        if (schema != null) {
+            sql = sql + " AND TABLE_SCHEM = '" + schema + "'";
+        }
+        return sql;
+    }
+
+    public static void closeJdbc(Connection connection, Statement statement, ResultSet resultSet) {
+        try {
+            if (resultSet != null) {
+                resultSet.close();
+            }
+            if (statement != null) {
+                statement.close();
+            }
+            if (connection != null) {
+                connection.close();
+            }
+        } catch (SQLException e) {
+            LOG.warn("数据库连接关闭异常.", HBase20xSQLWriterErrorCode.CLOSE_HBASE_CONNECTION_ERROR);
+        }
+    }
+}
--- a/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/HBase20xSQLWriter.java
+++ b/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/HBase20xSQLWriter.java
@ -0,0 +1,58 @@
+package com.alibaba.datax.plugin.writer.hbase20xsqlwriter;
+
+import com.alibaba.datax.common.plugin.RecordReceiver;
+import com.alibaba.datax.common.spi.Writer;
+import com.alibaba.datax.common.util.Configuration;
+
+import java.util.ArrayList;
+import java.util.List;
+
+public class HBase20xSQLWriter extends Writer {
+
+    public static class Job extends Writer.Job {
+
+        private Configuration config = null;
+
+        @Override
+        public void init() {
+            this.config = this.getPluginJobConf();
+            HBase20xSQLHelper.validateParameter(this.config);
+        }
+
+        @Override
+        public List<Configuration> split(int mandatoryNumber) {
+            List<Configuration> splitResultConfigs = new ArrayList<Configuration>();
+            for (int j = 0; j < mandatoryNumber; j++) {
+                splitResultConfigs.add(config.clone());
+            }
+            return splitResultConfigs;
+        }
+
+        @Override
+        public void destroy() {
+            //doNothing
+        }
+    }
+
+    public static class Task extends Writer.Task {
+        private Configuration taskConfig;
+        private HBase20xSQLWriterTask writerTask;
+
+        @Override
+        public void init() {
+            this.taskConfig = super.getPluginJobConf();
+            this.writerTask = new HBase20xSQLWriterTask(this.taskConfig);
+        }
+
+        @Override
+        public void startWrite(RecordReceiver lineReceiver) {
+            this.writerTask.startWriter(lineReceiver, super.getTaskPluginCollector());
+        }
+
+
+        @Override
+        public void destroy() {
+            // 不需要close
+        }
+    }
+}
--- a/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/HBase20xSQLWriterErrorCode.java
+++ b/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/HBase20xSQLWriterErrorCode.java
@ -0,0 +1,37 @@
+package com.alibaba.datax.plugin.writer.hbase20xsqlwriter;
+
+import com.alibaba.datax.common.spi.ErrorCode;
+
+public enum HBase20xSQLWriterErrorCode implements ErrorCode {
+    REQUIRED_VALUE("Hbasewriter-00", "您缺失了必须填写的参数值."),
+    ILLEGAL_VALUE("Hbasewriter-01", "您填写的参数值不合法."),
+    GET_QUERYSERVER_CONNECTION_ERROR("Hbasewriter-02", "获取QueryServer连接时出错."),
+    GET_HBASE_TABLE_ERROR("Hbasewriter-03", "获取 Hbase table时出错."),
+    CLOSE_HBASE_CONNECTION_ERROR("Hbasewriter-04", "关闭Hbase连接时出错."),
+    GET_TABLE_COLUMNTYPE_ERROR("Hbasewriter-05", "获取表列类型时出错."),
+    PUT_HBASE_ERROR("Hbasewriter-07", "写入hbase时发生IO异常."),
+            ;
+
+    private final String code;
+    private final String description;
+
+    private HBase20xSQLWriterErrorCode(String code, String description) {
+        this.code = code;
+        this.description = description;
+    }
+
+    @Override
+    public String getCode() {
+        return this.code;
+    }
+
+    @Override
+    public String getDescription() {
+        return this.description;
+    }
+
+    @Override
+    public String toString() {
+        return String.format("Code:[%s], Description:[%s].", this.code, this.description);
+    }
+}
--- a/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/HBase20xSQLWriterTask.java
+++ b/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/HBase20xSQLWriterTask.java
@ -0,0 +1,389 @@
+package com.alibaba.datax.plugin.writer.hbase20xsqlwriter;
+
+import com.alibaba.datax.common.element.Column;
+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.google.common.collect.Lists;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.math.BigDecimal;
+import java.sql.*;
+import java.util.Arrays;
+import java.util.List;
+
+public class HBase20xSQLWriterTask {
+    private final static Logger LOG = LoggerFactory.getLogger(HBase20xSQLWriterTask.class);
+
+    private Configuration configuration;
+    private TaskPluginCollector taskPluginCollector;
+
+    private Connection connection = null;
+    private PreparedStatement pstmt = null;
+
+    // 需要向hbsae写入的列的数量,即用户配置的column参数中列的个数。时间戳不包含在内
+    private int numberOfColumnsToWrite;
+    // 期待从源头表的Record中拿到多少列
+    private int numberOfColumnsToRead;
+    private int[] columnTypes;
+    private List<String> columns;
+    private String fullTableName;
+
+    private NullModeType nullModeType;
+    private int batchSize;
+
+    public HBase20xSQLWriterTask(Configuration configuration) {
+        // 这里仅解析配置，不访问远端集群，配置的合法性检查在writer的init过程中进行
+        this.configuration = configuration;
+    }
+
+    public void startWriter(RecordReceiver lineReceiver, TaskPluginCollector taskPluginCollector) {
+        this.taskPluginCollector = taskPluginCollector;
+
+        try {
+            // 准备阶段
+            initialize();
+
+            // 写入数据
+            writeData(lineReceiver);
+
+        } catch (Throwable e) {
+            throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.PUT_HBASE_ERROR, e);
+        } finally {
+            // 关闭jdbc连接
+            HBase20xSQLHelper.closeJdbc(connection, pstmt, null);
+        }
+
+    }
+
+    /**
+     * 初始化JDBC操作对象及列类型
+     * @throws SQLException
+     */
+    private void initialize() throws SQLException {
+        if (connection == null) {
+            connection = HBase20xSQLHelper.getJdbcConnection(configuration);
+            connection.setAutoCommit(false);
+        }
+        nullModeType = NullModeType.getByTypeName(configuration.getString(Key.NULLMODE, Constant.DEFAULT_NULL_MODE));
+        batchSize = configuration.getInt(Key.BATCHSIZE, Constant.DEFAULT_BATCH_ROW_COUNT);
+        String schema = configuration.getString(Key.SCHEMA);
+        String tableName = configuration.getNecessaryValue(Key.TABLE, HBase20xSQLWriterErrorCode.REQUIRED_VALUE);
+        fullTableName = tableName;
+        if (schema != null && !schema.isEmpty()) {
+            fullTableName = schema + "." + tableName;
+        }
+        columns = configuration.getList(Key.COLUMN, String.class);
+        if (pstmt == null) {
+            // 一个Task的生命周期中只使用一个PreparedStatement对象
+            pstmt = createPreparedStatement();
+            columnTypes = getColumnSqlType();
+        }
+    }
+
+    /**
+     * 生成sql模板，并根据模板创建PreparedStatement
+     */
+    private PreparedStatement createPreparedStatement() throws SQLException {
+        // 生成列名集合，列之间用逗号分隔： col1,col2,col3,...
+        StringBuilder columnNamesBuilder = new StringBuilder();
+        for (String col : columns) {
+            // 列名使用双引号，则不自动转换为全大写，而是保留用户配置的大小写
+            columnNamesBuilder.append("\"");
+            columnNamesBuilder.append(col);
+            columnNamesBuilder.append("\"");
+            columnNamesBuilder.append(",");
+        }
+        // 移除末尾多余的逗号
+        columnNamesBuilder.setLength(columnNamesBuilder.length() - 1);
+        String columnNames = columnNamesBuilder.toString();
+        numberOfColumnsToWrite = columns.size();
+        numberOfColumnsToRead = numberOfColumnsToWrite;   // 开始的时候，要读的列数娱要写的列数相等
+
+        // 生成UPSERT模板
+        StringBuilder upsertBuilder =
+                new StringBuilder("upsert into " + fullTableName + " (" + columnNames + " ) values (");
+        for (int i = 0; i < numberOfColumnsToWrite; i++) {
+            upsertBuilder.append("?,");
+        }
+        upsertBuilder.setLength(upsertBuilder.length() - 1);  // 移除末尾多余的逗号
+        upsertBuilder.append(")");
+
+        String sql = upsertBuilder.toString();
+        PreparedStatement ps = connection.prepareStatement(sql);
+        LOG.debug("SQL template generated: " + sql);
+        return ps;
+    }
+
+    /**
+     * 根据列名来从数据库元数据中获取这一列对应的SQL类型
+     */
+    private int[] getColumnSqlType() throws SQLException {
+        int[] types = new int[numberOfColumnsToWrite];
+        StringBuilder columnNamesBuilder = new StringBuilder();
+        for (String columnName : columns) {
+            columnNamesBuilder.append(columnName).append(",");
+        }
+        columnNamesBuilder.setLength(columnNamesBuilder.length() - 1);
+        // 查询一条数据获取表meta信息
+        String selectSql = "SELECT " + columnNamesBuilder + " FROM " + fullTableName + " LIMIT 1";
+        Statement statement = null;
+        try {
+            statement = connection.createStatement();
+            ResultSetMetaData meta = statement.executeQuery(selectSql).getMetaData();
+
+            for (int i = 0; i < columns.size(); i++) {
+                String name = columns.get(i);
+                types[i] = meta.getColumnType(i + 1);
+                LOG.debug("Column name : " + name + ", sql type = " + types[i] + " " + meta.getColumnTypeName(i + 1));
+            }
+        } catch (SQLException e) {
+            throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.GET_TABLE_COLUMNTYPE_ERROR,
+                    "获取表" + fullTableName + "列类型失败，请检查配置和服务状态或者联系HBase管理员.", e);
+        } finally {
+            HBase20xSQLHelper.closeJdbc(null, statement, null);
+        }
+
+        return types;
+    }
+
+    /**
+     * 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);
+        Record record = null;
+        while ((record = lineReceiver.getFromReader()) != null) {
+            // 校验列数量是否符合预期
+            if (record.getColumnNumber() != numberOfColumnsToRead) {
+                throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.ILLEGAL_VALUE,
+                        "数据源给出的列数量[" + record.getColumnNumber() + "]与您配置中的列数量[" + numberOfColumnsToRead +
+                                "]不同, 请检查您的配置 或者 联系 Hbase 管理员.");
+            }
+
+            buffer.add(record);
+            if (buffer.size() > batchSize) {
+                doBatchUpsert(buffer);
+                buffer.clear();
+            }
+        }
+
+        // 处理剩余的record
+        if (!buffer.isEmpty()) {
+            doBatchUpsert(buffer);
+            buffer.clear();
+        }
+    }
+
+    /**
+     * 批量提交一组数据，如果失败，则尝试一行行提交，如果仍然失败，抛错给用户
+     */
+    private void doBatchUpsert(List<Record> records) throws SQLException {
+        try {
+            // 将所有record提交到connection缓存
+            for (Record r : records) {
+                setupStatement(r);
+                pstmt.addBatch();
+            }
+
+            pstmt.executeBatch();
+            // 将缓存的数据提交到phoenix
+            connection.commit();
+            pstmt.clearParameters();
+            pstmt.clearBatch();
+
+        } catch (SQLException e) {
+            LOG.error("Failed batch committing " + records.size() + " records", e);
+
+            // 批量提交失败，则一行行重试，以确定哪一行出错
+            connection.rollback();
+            HBase20xSQLHelper.closeJdbc(null, pstmt, null);
+            connection.setAutoCommit(true);
+            pstmt = createPreparedStatement();
+            doSingleUpsert(records);
+        } catch (Exception e) {
+            throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.PUT_HBASE_ERROR, e);
+        }
+    }
+
+    /**
+     * 单行提交，将出错的行记录到脏数据中。由脏数据收集模块判断任务是否继续
+     */
+    private void doSingleUpsert(List<Record> records) throws SQLException {
+        int rowNumber = 0;
+        for (Record r : records) {
+            try {
+                rowNumber ++;
+                setupStatement(r);
+                pstmt.executeUpdate();
+            } catch (SQLException e) {
+                //出错了，记录脏数据
+                LOG.error("Failed writing to phoenix, rowNumber: " + rowNumber);
+                this.taskPluginCollector.collectDirtyRecord(r, e);
+            }
+        }
+    }
+
+    private void setupStatement(Record record) throws SQLException {
+        for (int i = 0; i < numberOfColumnsToWrite; i++) {
+            Column col = record.getColumn(i);
+            int sqlType = columnTypes[i];
+            // PreparedStatement中的索引从1开始，所以用i+1
+            setupColumn(i + 1, sqlType, col);
+        }
+    }
+
+    private void setupColumn(int pos, int sqlType, Column col) throws SQLException {
+        if (col.getRawData() != null) {
+            switch (sqlType) {
+                case Types.CHAR:
+                case Types.VARCHAR:
+                    pstmt.setString(pos, col.asString());
+                    break;
+
+                case Types.BINARY:
+                case Types.VARBINARY:
+                    pstmt.setBytes(pos, col.asBytes());
+                    break;
+
+                case Types.BOOLEAN:
+                    pstmt.setBoolean(pos, col.asBoolean());
+                    break;
+
+                case Types.TINYINT:
+                case Constant.TYPE_UNSIGNED_TINYINT:
+                    pstmt.setByte(pos, col.asLong().byteValue());
+                    break;
+
+                case Types.SMALLINT:
+                case Constant.TYPE_UNSIGNED_SMALLINT:
+                    pstmt.setShort(pos, col.asLong().shortValue());
+                    break;
+
+                case Types.INTEGER:
+                case Constant.TYPE_UNSIGNED_INTEGER:
+                    pstmt.setInt(pos, col.asLong().intValue());
+                    break;
+
+                case Types.BIGINT:
+                case Constant.TYPE_UNSIGNED_LONG:
+                    pstmt.setLong(pos, col.asLong());
+                    break;
+
+                case Types.FLOAT:
+                    pstmt.setFloat(pos, col.asDouble().floatValue());
+                    break;
+
+                case Types.DOUBLE:
+                    pstmt.setDouble(pos, col.asDouble());
+                    break;
+
+                case Types.DECIMAL:
+                    pstmt.setBigDecimal(pos, col.asBigDecimal());
+                    break;
+
+                case Types.DATE:
+                case Constant.TYPE_UNSIGNED_DATE:
+                    pstmt.setDate(pos, new Date(col.asDate().getTime()));
+                    break;
+
+                case Types.TIME:
+                case Constant.TYPE_UNSIGNED_TIME:
+                    pstmt.setTime(pos, new Time(col.asDate().getTime()));
+                    break;
+
+                case Types.TIMESTAMP:
+                case Constant.TYPE_UNSIGNED_TIMESTAMP:
+                    pstmt.setTimestamp(pos, new Timestamp(col.asDate().getTime()));
+                    break;
+
+                default:
+                    throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.ILLEGAL_VALUE,
+                            "不支持您配置的列类型:" + sqlType + ", 请检查您的配置 或者 联系 Hbase 管理员.");
+            }
+        } else {
+            // 没有值，按空值的配置情况处理
+            switch (nullModeType){
+                case Skip:
+                    // 跳过空值，则不插入该列,
+                    pstmt.setNull(pos, sqlType);
+                    break;
+
+                case Empty:
+                    // 插入"空值"，请注意不同类型的空值不同
+                    // 另外，对SQL来说，空值本身是有值的，这与直接操作HBASE Native API时的空值完全不同
+                    pstmt.setObject(pos, getEmptyValue(sqlType));
+                    break;
+
+                default:
+                    // nullMode的合法性在初始化配置的时候已经校验过，这里一定不会出错
+                    throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.ILLEGAL_VALUE,
+                            "Hbasewriter 不支持该 nullMode 类型: " + nullModeType +
+                                    ", 目前支持的 nullMode 类型是:" + Arrays.asList(NullModeType.values()));
+            }
+        }
+    }
+
+    /**
+     * 根据类型获取"空值"
+     * 值类型的空值都是0，bool是false，String是空字符串
+     * @param sqlType sql数据类型，定义于{@link Types}
+     */
+    private Object getEmptyValue(int sqlType) {
+        switch (sqlType) {
+            case Types.VARCHAR:
+                return "";
+
+            case Types.BOOLEAN:
+                return false;
+
+            case Types.TINYINT:
+            case Constant.TYPE_UNSIGNED_TINYINT:
+                return (byte) 0;
+
+            case Types.SMALLINT:
+            case Constant.TYPE_UNSIGNED_SMALLINT:
+                return (short) 0;
+
+            case Types.INTEGER:
+            case Constant.TYPE_UNSIGNED_INTEGER:
+                return (int) 0;
+
+            case Types.BIGINT:
+            case Constant.TYPE_UNSIGNED_LONG:
+                return (long) 0;
+
+            case Types.FLOAT:
+                return (float) 0.0;
+
+            case Types.DOUBLE:
+                return (double) 0.0;
+
+            case Types.DECIMAL:
+                return new BigDecimal(0);
+
+            case Types.DATE:
+            case Constant.TYPE_UNSIGNED_DATE:
+                return new Date(0);
+
+            case Types.TIME:
+            case Constant.TYPE_UNSIGNED_TIME:
+                return new Time(0);
+
+            case Types.TIMESTAMP:
+            case Constant.TYPE_UNSIGNED_TIMESTAMP:
+                return new Timestamp(0);
+
+            case Types.BINARY:
+            case Types.VARBINARY:
+                return new byte[0];
+
+            default:
+                throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.ILLEGAL_VALUE,
+                        "不支持您配置的列类型:" + sqlType + ", 请检查您的配置 或者 联系 Hbase 管理员.");
+        }
+    }
+}
--- a/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/Key.java
+++ b/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/Key.java
@ -0,0 +1,36 @@
+package com.alibaba.datax.plugin.writer.hbase20xsqlwriter;
+
+public class Key {
+
+    /**
+     * 【必选】writer要写入的表的表名
+     */
+    public final static String TABLE = "table";
+    /**
+     * 【必选】writer要写入哪些列
+     */
+    public final static String COLUMN = "column";
+    /**
+     * 【必选】Phoenix QueryServer服务地址
+     */
+    public final static String QUERYSERVER_ADDRESS = "queryServerAddress";
+    /**
+     * 【可选】序列化格式，默认为PROTOBUF
+     */
+    public static final String SERIALIZATION_NAME = "serialization";
+
+    /**
+     * 【可选】批量写入的最大行数，默认100行
+     */
+    public static final String BATCHSIZE = "batchSize";
+
+    /**
+     * 【可选】遇到空值默认跳过
+     */
+    public static final String NULLMODE = "nullMode";
+    /**
+     * 【可选】Phoenix表所属schema，默认为空
+     */
+    public static final String SCHEMA = "schema";
+
+}
--- a/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/NullModeType.java
+++ b/hbase20xsqlwriter/src/main/java/com/alibaba/datax/plugin/writer/hbase20xsqlwriter/NullModeType.java
@ -0,0 +1,32 @@
+package com.alibaba.datax.plugin.writer.hbase20xsqlwriter;
+
+import com.alibaba.datax.common.exception.DataXException;
+
+import java.util.Arrays;
+
+public enum NullModeType {
+    Skip("skip"),
+    Empty("empty")
+    ;
+
+    private String mode;
+
+
+    NullModeType(String mode) {
+        this.mode = mode.toLowerCase();
+    }
+
+    public String getMode() {
+        return mode;
+    }
+
+    public static NullModeType getByTypeName(String modeName) {
+        for (NullModeType modeType : values()) {
+            if (modeType.mode.equalsIgnoreCase(modeName)) {
+                return modeType;
+            }
+        }
+        throw DataXException.asDataXException(HBase20xSQLWriterErrorCode.ILLEGAL_VALUE,
+                "Hbasewriter 不支持该 nullMode 类型:" + modeName + ", 目前支持的 nullMode 类型是:" + Arrays.asList(values()));
+    }
+}
--- a/hbase20xsqlwriter/src/main/resources/plugin.json
+++ b/hbase20xsqlwriter/src/main/resources/plugin.json
@ -0,0 +1,7 @@
+{
+    "name": "hbase20xsqlwriter",
+    "class": "com.alibaba.datax.plugin.writer.hbase20xsqlwriter.HBase20xSQLWriter",
+    "description": "useScene: prod. mechanism: use hbase sql UPSERT to put data, index tables will be updated too.",
+    "developer": "bake"
+}
+
--- a/hbase20xsqlwriter/src/main/resources/plugin_job_template.json
+++ b/hbase20xsqlwriter/src/main/resources/plugin_job_template.json
@ -0,0 +1,13 @@
+ {
+    "name": "hbase20xsqlwriter",
+    "parameter": {
+        "queryServerAddress": "",
+        "table": "",
+        "serialization": "PROTOBUF",
+        "column": [
+        ],
+        "batchSize": "100",
+        "nullMode": "skip",
+        "schema": ""
+    }
+}
--- a/package.xml
+++ b/package.xml
@ -308,5 +308,19 @@
            </includes>
            <outputDirectory>datax</outputDirectory>
        </fileSet>
+        <fileSet>
+            <directory>hbase20xsqlreader/target/datax/</directory>
+            <includes>
+                <include>**/*.*</include>
+            </includes>
+            <outputDirectory>datax</outputDirectory>
+        </fileSet>
+        <fileSet>
+            <directory>hbase20xsqlwriter/target/datax/</directory>
+            <includes>
+                <include>**/*.*</include>
+            </includes>
+            <outputDirectory>datax</outputDirectory>
+        </fileSet>
    </fileSets>
 </assembly>
--- a/pom.xml
+++ b/pom.xml
@ -89,6 +89,8 @@
        <!-- common support module -->
        <module>plugin-rdbms-util</module>
        <module>plugin-unstructured-storage-util</module>
+        <module>hbase20xsqlreader</module>
+        <module>hbase20xsqlwriter</module>
    </modules>

    <dependencyManagement>