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Merge pull request #471 from sufism/cassandra 

cassandra plugins
parents 57c8dd86 2f8cc74b
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README.md
View file @ 10371104
...@@ -51,6 +51,7 @@ DataX目前已经有了比较全面的插件体系，主流的RDBMS数据库、N ...@@ -51,6 +51,7 @@ DataX目前已经有了比较全面的插件体系，主流的RDBMS数据库、N
| | 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)| | | 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/mongoreader/doc/mongoreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/mongowriter/doc/mongowriter.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)| | | 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)| | 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)|
| | FTP | √ | √ |[读](https://github.com/alibaba/DataX/blob/master/ftpreader/doc/ftpreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/ftpwriter/doc/ftpwriter.md)| | | FTP | √ | √ |[读](https://github.com/alibaba/DataX/blob/master/ftpreader/doc/ftpreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/ftpwriter/doc/ftpwriter.md)|
| | HDFS | √ | √ |[读](https://github.com/alibaba/DataX/blob/master/hdfsreader/doc/hdfsreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/hdfswriter/doc/hdfswriter.md)| | | HDFS | √ | √ |[读](https://github.com/alibaba/DataX/blob/master/hdfsreader/doc/hdfsreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/hdfswriter/doc/hdfswriter.md)|
......
cassandrareader/doc/cassandrareader.md 0 → 100644
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# CassandraReader 插件文档
___
## 1 快速介绍
CassandraReader插件实现了从Cassandra读取数据。在底层实现上，CassandraReader通过datastax的java driver连接Cassandra实例，并执行相应的cql语句将数据从cassandra中SELECT出来。
## 2 实现原理
简而言之，CassandraReader通过java driver连接到Cassandra实例，并根据用户配置的信息生成查询SELECT CQL语句，然后发送到Cassandra，并将该CQL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的信息，CassandraReader将其拼接为CQL语句发送到Cassandra。
## 3 功能说明
### 3.1 配置样例
* 配置一个从Cassandra同步抽取数据到本地的作业:
```
{
"job": {
"setting": {
"speed": {
"channel": 3
}
},
"content": [
{
"reader": {
"name": "cassandrareader",
"parameter": {
"host": "localhost",
"port": 9042,
"useSSL": false,
"keyspace": "test",
"table": "datax_src",
"column": [
"textCol",
"blobCol",
"writetime(blobCol)",
"boolCol",
"smallintCol",
"tinyintCol",
"intCol",
"bigintCol",
"varintCol",
"floatCol",
"doubleCol",
"decimalCol",
"dateCol",
"timeCol",
"timeStampCol",
"uuidCol",
"inetCol",
"durationCol",
"listCol",
"mapCol",
"setCol"
"tupleCol"
"udtCol",
]
}
},
"writer": {
"name": "streamwriter",
"parameter": {
"print":true
}
}
}
]
}
}
```
### 3.2 参数说明
* **host**
* 描述：Cassandra连接点的域名或ip，多个node之间用逗号分隔。 <br />
* 必选：是 <br />
* 默认值：无 <br />
* **port**
* 描述：Cassandra端口。 <br />
* 必选：是 <br />
* 默认值：9042 <br />
* **username**
* 描述：数据源的用户名 <br />
* 必选：否 <br />
* 默认值：无 <br />
* **password**
* 描述：数据源指定用户名的密码 <br />
* 必选：否 <br />
* 默认值：无 <br />
* **useSSL**
* 描述：是否使用SSL连接。<br />
* 必选：否 <br />
* 默认值：false <br />
* **keyspace**
* 描述：需要同步的表所在的keyspace。<br />
* 必选：是 <br />
* 默认值：无 <br />
* **table**
* 描述：所选取的需要同步的表。<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集合。<br />
其中的元素可以指定列的名称或writetime(column_name)，后一种形式会读取column_name列的时间戳而不是数据。
* 必选：是 <br />
* 默认值：无 <br />
* **where**
* 描述：数据筛选条件的cql表达式，例如:<br />
```
"where":"textcol='a'"
```
* 必选：否 <br />
* 默认值：无 <br />
* **allowFiltering**
* 描述：是否在服务端过滤数据。参考cassandra文档中ALLOW FILTERING关键字的相关描述。<br />
* 必选：否 <br />
* 默认值：无 <br />
* **consistancyLevel**
* 描述：数据一致性级别。可选ONE|QUORUM|LOCAL_QUORUM|EACH_QUORUM|ALL|ANY|TWO|THREE|LOCAL_ONE<br />
* 必选：否 <br />
* 默认值：LOCAL_QUORUM <br />
### 3.3 类型转换
目前CassandraReader支持除counter和Custom类型之外的所有类型。
下面列出CassandraReader针对Cassandra类型转换列表:
| DataX 内部类型| Cassandra 数据类型 |
| -------- | ----- |
| Long |int, tinyint, smallint,varint,bigint,time|
| Double |float, double, decimal|
| String |ascii,varchar, text,uuid,timeuuid,duration,list,map,set,tuple,udt,inet |
| Date |date, timestamp |
| Boolean |bool |
| Bytes |blob |
请注意:
* 目前不支持counter类型和custom类型。
## 4 性能报告
略
## 5 约束限制
### 5.1 主备同步数据恢复问题
略
## 6 FAQ
cassandrareader/pom.xml 0 → 100644
View file @ 10371104
<?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">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>com.alibaba.datax</groupId>
<artifactId>datax-all</artifactId>
<version>0.0.1-SNAPSHOT</version>
</parent>
<artifactId>cassandrareader</artifactId>
<name>cassandrareader</name>
<packaging>jar</packaging>
<dependencies>
<dependency>
<groupId>com.alibaba.datax</groupId>
<artifactId>datax-common</artifactId>
<version>${datax-project-version}</version>
<exclusions>
<exclusion>
<artifactId>slf4j-log4j12</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
</dependency>
<dependency>
<groupId>ch.qos.logback</groupId>
<artifactId>logback-classic</artifactId>
</dependency>
<dependency>
<groupId>com.datastax.cassandra</groupId>
<artifactId>cassandra-driver-core</artifactId>
<version>3.7.2</version>
<classifier>shaded</classifier>
<exclusions>
<exclusion>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>16.0.1</version>
</dependency>
<dependency>
<groupId>commons-codec</groupId>
<artifactId>commons-codec</artifactId>
<version>1.9</version>
</dependency>
<!-- for test -->
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.alibaba.datax</groupId>
<artifactId>datax-core</artifactId>
<version>${datax-project-version}</version>
<exclusions>
<exclusion>
<groupId>com.alibaba.datax</groupId>
<artifactId>datax-service-face</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hive</groupId>
<artifactId>hive-serde</artifactId>
</exclusion>
<exclusion>
<groupId>javolution</groupId>
<artifactId>javolution</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>
<plugins>
<!-- compiler plugin -->
<plugin>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>1.6</source>
<target>1.6</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>
cassandrareader/src/main/assembly/package.xml 0 → 100644
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<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/cassandrareader</outputDirectory>
</fileSet>
<fileSet>
<directory>target/</directory>
<includes>
<include>cassandrareader-0.0.1-SNAPSHOT.jar</include>
</includes>
<outputDirectory>plugin/reader/cassandrareader</outputDirectory>
</fileSet>
</fileSets>
<dependencySets>
<dependencySet>
<useProjectArtifact>false</useProjectArtifact>
<outputDirectory>plugin/reader/cassandrareader/libs</outputDirectory>
<scope>runtime</scope>
</dependencySet>
</dependencySets>
</assembly>
cassandrareader/src/main/java/com/alibaba/datax/plugin/reader/cassandrareader/CassandraReader.java 0 → 100644
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package com.alibaba.datax.plugin.reader.cassandrareader;
import com.alibaba.datax.common.element.Record;
import com.alibaba.datax.common.plugin.RecordSender;
import com.alibaba.datax.common.spi.Reader;
import com.alibaba.datax.common.util.Configuration;
import com.datastax.driver.core.Cluster;
import com.datastax.driver.core.ConsistencyLevel;
import com.datastax.driver.core.ResultSet;
import com.datastax.driver.core.Row;
import com.datastax.driver.core.Session;
import com.datastax.driver.core.SimpleStatement;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.List;
public class CassandraReader extends Reader {
private static final Logger LOG = LoggerFactory
.getLogger(CassandraReader.class);
public static class Job extends Reader.Job {
private Configuration jobConfig = null;
private Cluster cluster = null;
@Override public void init() {
this.jobConfig = super.getPluginJobConf();
this.jobConfig = super.getPluginJobConf();
String username = jobConfig.getString(Key.USERNAME);
String password = jobConfig.getString(Key.PASSWORD);
String hosts = jobConfig.getString(Key.HOST);
Integer port = jobConfig.getInt(Key.PORT,9042);
boolean useSSL = jobConfig.getBool(Key.USESSL);
if ((username != null) && !username.isEmpty()) {
Cluster.Builder clusterBuilder = Cluster.builder().withCredentials(username, password)
.withPort(Integer.valueOf(port)).addContactPoints(hosts.split(","));
if (useSSL) {
clusterBuilder = clusterBuilder.withSSL();
}
cluster = clusterBuilder.build();
} else {
cluster = Cluster.builder().withPort(Integer.valueOf(port))
.addContactPoints(hosts.split(",")).build();
}
CassandraReaderHelper.checkConfig(jobConfig,cluster);
}
@Override public void destroy() {
}
@Override public List<Configuration> split(int adviceNumber) {
List<Configuration> splittedConfigs = CassandraReaderHelper.splitJob(adviceNumber,jobConfig,cluster);
return splittedConfigs;
}
}
public static class Task extends Reader.Task {
private Configuration taskConfig;
private Cluster cluster = null;
private Session session = null;
private String queryString = null;
private ConsistencyLevel consistencyLevel;
private int columnNumber = 0;
private List<String> columnMeta = null;
@Override public void init() {
this.taskConfig = super.getPluginJobConf();
String username = taskConfig.getString(Key.USERNAME);
String password = taskConfig.getString(Key.PASSWORD);
String hosts = taskConfig.getString(Key.HOST);
Integer port = taskConfig.getInt(Key.PORT);
boolean useSSL = taskConfig.getBool(Key.USESSL);
String keyspace = taskConfig.getString(Key.KEYSPACE);
this.columnMeta = taskConfig.getList(Key.COLUMN,String.class);
columnNumber = columnMeta.size();
if ((username != null) && !username.isEmpty()) {
Cluster.Builder clusterBuilder = Cluster.builder().withCredentials(username, password)
.withPort(Integer.valueOf(port)).addContactPoints(hosts.split(","));
if (useSSL) {
clusterBuilder = clusterBuilder.withSSL();
}
cluster = clusterBuilder.build();
} else {
cluster = Cluster.builder().withPort(Integer.valueOf(port))
.addContactPoints(hosts.split(",")).build();
}
session = cluster.connect(keyspace);
String cl = taskConfig.getString(Key.CONSITANCY_LEVEL);
if( cl != null && !cl.isEmpty() ) {
consistencyLevel = ConsistencyLevel.valueOf(cl);
} else {
consistencyLevel = ConsistencyLevel.LOCAL_QUORUM;
}
queryString = CassandraReaderHelper.getQueryString(taskConfig,cluster);
LOG.info("query = " + queryString);
}
@Override public void startRead(RecordSender recordSender) {
ResultSet r = session.execute(new SimpleStatement(queryString).setConsistencyLevel(consistencyLevel));
for (Row row : r ) {
Record record = recordSender.createRecord();
record = CassandraReaderHelper.buildRecord(record,row,r.getColumnDefinitions(),columnNumber,
super.getTaskPluginCollector());
if( record != null )
recordSender.sendToWriter(record);
}
}
@Override public void destroy() {
}
}
}
cassandrareader/src/main/java/com/alibaba/datax/plugin/reader/cassandrareader/CassandraReaderErrorCode.java 0 → 100644
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package com.alibaba.datax.plugin.reader.cassandrareader;
import com.alibaba.datax.common.spi.ErrorCode;
public enum CassandraReaderErrorCode implements ErrorCode {
CONF_ERROR("CassandraReader-00", "配置错误."),
;
private final String code;
private final String description;
private CassandraReaderErrorCode(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);
}
}
cassandrareader/src/main/java/com/alibaba/datax/plugin/reader/cassandrareader/CassandraReaderHelper.java 0 → 100644
View file @ 10371104
package com.alibaba.datax.plugin.reader.cassandrareader;
import java.math.BigDecimal;
import java.math.BigInteger;
import java.net.InetAddress;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Date;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import com.alibaba.datax.common.element.BoolColumn;
import com.alibaba.datax.common.element.BytesColumn;
import com.alibaba.datax.common.element.DateColumn;
import com.alibaba.datax.common.element.DoubleColumn;
import com.alibaba.datax.common.element.LongColumn;
import com.alibaba.datax.common.element.Record;
import com.alibaba.datax.common.element.StringColumn;
import com.alibaba.datax.common.exception.DataXException;
import com.alibaba.datax.common.plugin.TaskPluginCollector;
import com.alibaba.datax.common.util.Configuration;
import com.alibaba.fastjson.JSON;
import com.datastax.driver.core.Cluster;
import com.datastax.driver.core.CodecRegistry;
import com.datastax.driver.core.ColumnDefinitions;
import com.datastax.driver.core.ColumnMetadata;
import com.datastax.driver.core.DataType;
import com.datastax.driver.core.Duration;
import com.datastax.driver.core.LocalDate;
import com.datastax.driver.core.Row;
import com.datastax.driver.core.TableMetadata;
import com.datastax.driver.core.TupleType;
import com.datastax.driver.core.TupleValue;
import com.datastax.driver.core.UDTValue;
import com.datastax.driver.core.UserType;
import com.google.common.reflect.TypeToken;
import org.apache.commons.codec.binary.Base64;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* Created by mazhenlin on 2019/8/21.
*/
public class CassandraReaderHelper {
static CodecRegistry registry = new CodecRegistry();
private static final Logger LOG = LoggerFactory
.getLogger(CassandraReader.class);
static class TypeNotSupported extends Exception{}
static String toJSonString(Object o, DataType type ) throws Exception{
if( o == null ) return JSON.toJSONString(null);
switch (type.getName()) {
case LIST:
case MAP:
case SET:
case TUPLE:
case UDT:
return JSON.toJSONString(transferObjectForJson(o,type));
default:
return JSON.toJSONString(o);
}
}
static Object transferObjectForJson(Object o,DataType type) throws TypeNotSupported{
if( o == null ) return o;
switch (type.getName()) {
case ASCII:
case TEXT:
case VARCHAR:
case BOOLEAN:
case SMALLINT:
case TINYINT:
case INT:
case BIGINT:
case VARINT:
case FLOAT:
case DOUBLE:
case DECIMAL:
case UUID:
case TIMEUUID:
case TIME:
return o;
case BLOB:
ByteBuffer byteBuffer = (ByteBuffer)o;
String s = Base64.encodeBase64String(
Arrays.copyOfRange(byteBuffer.array(),byteBuffer.position(),
byteBuffer.limit()));
return s;
case DATE:
return ((LocalDate)o).getMillisSinceEpoch();
case TIMESTAMP:
return ((Date)o).getTime();
case DURATION:
return o.toString();
case INET:
return ((InetAddress)o).getHostAddress();
case LIST: {
return transferListForJson((List)o,type.getTypeArguments().get(0));
}
case MAP: {
DataType keyType = type.getTypeArguments().get(0);
DataType valType = type.getTypeArguments().get(1);
return transferMapForJson((Map)o,keyType,valType);
}
case SET: {
return transferSetForJson((Set)o, type.getTypeArguments().get(0));
}
case TUPLE: {
return transferTupleForJson((TupleValue)o,((TupleType)type).getComponentTypes());
}
case UDT: {
return transferUDTForJson((UDTValue)o);
}
default:
throw new TypeNotSupported();
}
}
static List transferListForJson(List clist, DataType eleType) throws TypeNotSupported {
List result = new ArrayList();
switch (eleType.getName()) {
case ASCII:
case TEXT:
case VARCHAR:
case BOOLEAN:
case SMALLINT:
case TINYINT:
case INT:
case BIGINT:
case VARINT:
case FLOAT:
case DOUBLE:
case DECIMAL:
case TIME:
case UUID:
case TIMEUUID:
return clist;
case BLOB:
case DATE:
case TIMESTAMP:
case DURATION:
case INET:
case LIST:
case MAP:
case SET:
case TUPLE:
case UDT:
for (Object item : clist) {
Object newItem = transferObjectForJson(item, eleType);
result.add(newItem);
}
break;
default:
throw new TypeNotSupported();
}
return result;
}
static Set transferSetForJson(Set cset,DataType eleType) throws TypeNotSupported{
Set result = new HashSet();
switch (eleType.getName()) {
case ASCII:
case TEXT:
case VARCHAR:
case BOOLEAN:
case SMALLINT:
case TINYINT:
case INT:
case BIGINT:
case VARINT:
case FLOAT:
case DOUBLE:
case DECIMAL:
case TIME:
case UUID:
case TIMEUUID:
return cset;
case BLOB:
case DATE:
case TIMESTAMP:
case DURATION:
case INET:
case LIST:
case MAP:
case SET:
case TUPLE:
case UDT:
for (Object item : cset) {
Object newItem = transferObjectForJson(item,eleType);
result.add(newItem);
}
break;
default:
throw new TypeNotSupported();
}
return result;
}
static Map transferMapForJson(Map cmap,DataType keyType,DataType valueType) throws TypeNotSupported {
Map newMap = new HashMap();
for( Object e : cmap.entrySet() ) {
Object k = ((Map.Entry)e).getKey();
Object v = ((Map.Entry)e).getValue();
Object newKey = transferObjectForJson(k,keyType);
Object newValue = transferObjectForJson(v,valueType);
if( !(newKey instanceof String) ) {
newKey = JSON.toJSONString(newKey);
}
newMap.put(newKey,newValue);
}
return newMap;
}
static List transferTupleForJson(TupleValue tupleValue,List<DataType> componentTypes) throws TypeNotSupported {
List l = new ArrayList();
for (int j = 0; j < componentTypes.size(); j++ ) {
DataType dataType = componentTypes.get(j);
TypeToken<?> eltClass = registry.codecFor(dataType).getJavaType();
Object ele = tupleValue.get(j,eltClass);
l.add(transferObjectForJson(ele,dataType));
}
return l;
}
static Map transferUDTForJson(UDTValue udtValue) throws TypeNotSupported {
Map<String,Object> newMap = new HashMap();
int j = 0;
for (UserType.Field f : udtValue.getType()) {
DataType dataType = f.getType();
TypeToken<?> eltClass = registry.codecFor(dataType).getJavaType();
Object ele = udtValue.get(j, eltClass);
newMap.put(f.getName(),transferObjectForJson(ele,dataType));
j++;
}
return newMap;
}
static Record buildRecord(Record record, Row rs, ColumnDefinitions metaData, int columnNumber,
TaskPluginCollector taskPluginCollector) {
try {
for (int i = 0; i < columnNumber; i++)
try {
if (rs.isNull(i)) {
record.addColumn(new StringColumn());
continue;
}
switch (metaData.getType(i).getName()) {
case ASCII:
case TEXT:
case VARCHAR:
record.addColumn(new StringColumn(rs.getString(i)));
break;
case BLOB:
record.addColumn(new BytesColumn(rs.getBytes(i).array()));
break;
case BOOLEAN:
record.addColumn(new BoolColumn(rs.getBool(i)));
break;
case SMALLINT:
record.addColumn(new LongColumn((int)rs.getShort(i)));
break;
case TINYINT:
record.addColumn(new LongColumn((int)rs.getByte(i)));
break;
case INT:
record.addColumn(new LongColumn(rs.getInt(i)));
break;
case BIGINT:
record.addColumn(new LongColumn(rs.getLong(i)));
break;
case VARINT:
record.addColumn(new LongColumn(rs.getVarint(i)));
break;
case FLOAT:
record.addColumn(new DoubleColumn(rs.getFloat(i)));
break;
case DOUBLE:
record.addColumn(new DoubleColumn(rs.getDouble(i)));
break;
case DECIMAL:
record.addColumn(new DoubleColumn(rs.getDecimal(i)));
break;
case DATE:
record.addColumn(new DateColumn(rs.getDate(i).getMillisSinceEpoch()));
break;
case TIME:
record.addColumn(new LongColumn(rs.getTime(i)));
break;
case TIMESTAMP:
record.addColumn(new DateColumn(rs.getTimestamp(i)));
break;
case UUID:
case TIMEUUID:
record.addColumn(new StringColumn(rs.getUUID(i).toString()));
break;
case INET:
record.addColumn(new StringColumn(rs.getInet(i).getHostAddress()));
break;
case DURATION:
record.addColumn(new StringColumn(rs.get(i,Duration.class).toString()));
break;
case LIST: {
TypeToken listEltClass = registry.codecFor(metaData.getType(i).getTypeArguments().get(0)).getJavaType();
List<?> l = rs.getList(i, listEltClass);
record.addColumn(new StringColumn(toJSonString(l,metaData.getType(i))));
}
break;
case MAP: {
DataType keyType = metaData.getType(i).getTypeArguments().get(0);
DataType valType = metaData.getType(i).getTypeArguments().get(1);
TypeToken<?> keyEltClass = registry.codecFor(keyType).getJavaType();
TypeToken<?> valEltClass = registry.codecFor(valType).getJavaType();
Map<?,?> m = rs.getMap(i, keyEltClass, valEltClass);
record.addColumn(new StringColumn(toJSonString(m,metaData.getType(i))));
}
break;
case SET: {
TypeToken<?> setEltClass = registry.codecFor(metaData.getType(i).getTypeArguments().get(0))
.getJavaType();
Set<?> set = rs.getSet(i, setEltClass);
record.addColumn(new StringColumn(toJSonString(set,metaData.getType(i))));
}
break;
case TUPLE: {
TupleValue t = rs.getTupleValue(i);
record.addColumn(new StringColumn(toJSonString(t,metaData.getType(i))));
}
break;
case UDT: {
UDTValue t = rs.getUDTValue(i);
record.addColumn(new StringColumn(toJSonString(t,metaData.getType(i))));
}
break;
default:
throw DataXException
.asDataXException(
CassandraReaderErrorCode.CONF_ERROR,
String.format(
"您的配置文件中的列配置信息有误. 因为DataX 不支持数据库读取这种字段类型. 字段名:[%s], "
+ "字段类型:[%s]. ",
metaData.getName(i),
metaData.getType(i)));
}
} catch (TypeNotSupported t) {
throw DataXException
.asDataXException(
CassandraReaderErrorCode.CONF_ERROR,
String.format(
"您的配置文件中的列配置信息有误. 因为DataX 不支持数据库读取这种字段类型. 字段名:[%s], "
+ "字段类型:[%s]. ",
metaData.getName(i),
metaData.getType(i)));
}
} catch (Exception e) {
//TODO 这里识别为脏数据靠谱吗？
taskPluginCollector.collectDirtyRecord(record, e);
if (e instanceof DataXException) {
throw (DataXException) e;
}
return null;
}
return record;
}
public static List<Configuration> splitJob(int adviceNumber,Configuration jobConfig,Cluster cluster) {
List<Configuration> splittedConfigs = new ArrayList<Configuration>();
if( adviceNumber <= 1 ) {
splittedConfigs.add(jobConfig);
return splittedConfigs;
}
String where = jobConfig.getString(Key.WHERE);
if(where != null && where.toLowerCase().contains("token(")) {
splittedConfigs.add(jobConfig);
return splittedConfigs;
}
String partitioner = cluster.getMetadata().getPartitioner();
if( partitioner.endsWith("RandomPartitioner")) {
BigDecimal minToken = BigDecimal.valueOf(-1);
BigDecimal maxToken = new BigDecimal(new BigInteger("2").pow(127));
BigDecimal step = maxToken.subtract(minToken)
.divide(BigDecimal.valueOf(adviceNumber),2, BigDecimal.ROUND_HALF_EVEN);
for ( int i = 0; i < adviceNumber; i++ ) {
BigInteger l = minToken.add(step.multiply(BigDecimal.valueOf(i))).toBigInteger();
BigInteger r = minToken.add(step.multiply(BigDecimal.valueOf(i+1))).toBigInteger();
if( i == adviceNumber - 1 ) {
r = maxToken.toBigInteger();
}
Configuration taskConfig = jobConfig.clone();
taskConfig.set(Key.MIN_TOKEN,l.toString());
taskConfig.set(Key.MAX_TOKEN,r.toString());
splittedConfigs.add(taskConfig);
}
}
else if( partitioner.endsWith("Murmur3Partitioner") ) {
BigDecimal minToken = BigDecimal.valueOf(Long.MIN_VALUE);
BigDecimal maxToken = BigDecimal.valueOf(Long.MAX_VALUE);
BigDecimal step = maxToken.subtract(minToken)
.divide(BigDecimal.valueOf(adviceNumber),2, BigDecimal.ROUND_HALF_EVEN);
for ( int i = 0; i < adviceNumber; i++ ) {
long l = minToken.add(step.multiply(BigDecimal.valueOf(i))).longValue();
long r = minToken.add(step.multiply(BigDecimal.valueOf(i+1))).longValue();
if( i == adviceNumber - 1 ) {
r = maxToken.longValue();
}
Configuration taskConfig = jobConfig.clone();
taskConfig.set(Key.MIN_TOKEN,String.valueOf(l));
taskConfig.set(Key.MAX_TOKEN,String.valueOf(r));
splittedConfigs.add(taskConfig);
}
}
else {
splittedConfigs.add(jobConfig);
}
return splittedConfigs;
}
public static String getQueryString(Configuration taskConfig,Cluster cluster) {
List<String> columnMeta = taskConfig.getList(Key.COLUMN,String.class);
String keyspace = taskConfig.getString(Key.KEYSPACE);
String table = taskConfig.getString(Key.TABLE);
StringBuilder columns = new StringBuilder();
for( String column : columnMeta ) {
if(columns.length() > 0 ) {
columns.append(",");
}
columns.append(column);
}
StringBuilder where = new StringBuilder();
String whereString = taskConfig.getString(Key.WHERE);
if( whereString != null && !whereString.isEmpty() ) {
where.append(whereString);
}
String minToken = taskConfig.getString(Key.MIN_TOKEN);
String maxToken = taskConfig.getString(Key.MAX_TOKEN);
if( minToken !=null || maxToken !=null ) {
LOG.info("range:" + minToken + "~" + maxToken);
List<ColumnMetadata> pks = cluster.getMetadata().getKeyspace(keyspace).getTable(table).getPartitionKey();
StringBuilder sb = new StringBuilder();
for( ColumnMetadata pk : pks ) {
if( sb.length() > 0 ) {
sb.append(",");
}
sb.append(pk.getName());
}
String s = sb.toString();
if (minToken != null && !minToken.isEmpty()) {
if( where.length() > 0 ){
where.append(" AND ");
}
where.append("token(").append(s).append(")").append(" > ").append(minToken);
}
if (maxToken != null && !maxToken.isEmpty()) {
if( where.length() > 0 ){
where.append(" AND ");
}
where.append("token(").append(s).append(")").append(" <= ").append(maxToken);
}
}
boolean allowFiltering = taskConfig.getBool(Key.ALLOW_FILTERING,false);
StringBuilder select = new StringBuilder();
select.append("SELECT ").append(columns.toString()).append(" FROM ").append(table);
if( where.length() > 0 ){
select.append(" where ").append(where.toString());
}
if( allowFiltering ) {
select.append(" ALLOW FILTERING");
}
select.append(";");
return select.toString();
}
public static void checkConfig(Configuration jobConfig,Cluster cluster) {
ensureStringExists(jobConfig,Key.HOST);
ensureStringExists(jobConfig,Key.KEYSPACE);
ensureStringExists(jobConfig,Key.TABLE);
ensureExists(jobConfig,Key.COLUMN);
///keyspace,table是否存在
String keyspace = jobConfig.getString(Key.KEYSPACE);
if( cluster.getMetadata().getKeyspace(keyspace) == null ) {
throw DataXException
.asDataXException(
CassandraReaderErrorCode.CONF_ERROR,
String.format(
"配置信息有错误.keyspace'%s'不存在 .",
keyspace));
}
String table = jobConfig.getString(Key.TABLE);
TableMetadata tableMetadata = cluster.getMetadata().getKeyspace(keyspace).getTable(table);
if( tableMetadata == null ) {
throw DataXException
.asDataXException(
CassandraReaderErrorCode.CONF_ERROR,
String.format(
"配置信息有错误.表'%s'不存在 .",
table));
}
List<String> columns = jobConfig.getList(Key.COLUMN,String.class);
for( String name : columns ) {
if( name == null || name.isEmpty() ) {
throw DataXException
.asDataXException(
CassandraReaderErrorCode.CONF_ERROR,
String.format(
"配置信息有错误.列信息中需要包含'%s'字段 .",Key.COLUMN_NAME));
}
if( name.startsWith(Key.WRITE_TIME) ) {
String colName = name.substring(Key.WRITE_TIME.length(),name.length() - 1 );
ColumnMetadata col = tableMetadata.getColumn(colName);
if( col == null ) {
throw DataXException
.asDataXException(
CassandraReaderErrorCode.CONF_ERROR,
String.format(
"配置信息有错误.列'%s'不存在 .",colName));
}
} else {
ColumnMetadata col = tableMetadata.getColumn(name);
if( col == null ) {
throw DataXException
.asDataXException(
CassandraReaderErrorCode.CONF_ERROR,
String.format(
"配置信息有错误.列'%s'不存在 .",name));
}
}
}
}
static void ensureExists(Configuration jobConfig,String keyword) {
if( jobConfig.get(keyword) == null ) {
throw DataXException
.asDataXException(
CassandraReaderErrorCode.CONF_ERROR,
String.format(
"配置信息有错误.参数'%s'为必填项 .",
keyword));
}
}
static void ensureStringExists(Configuration jobConfig,String keyword) {
ensureExists(jobConfig,keyword);
if( jobConfig.getString(keyword).isEmpty() ) {
throw DataXException
.asDataXException(
CassandraReaderErrorCode.CONF_ERROR,
String.format(
"配置信息有错误.参数'%s'不能为空 .",
keyword));
}
}
}
cassandrareader/src/main/java/com/alibaba/datax/plugin/reader/cassandrareader/Key.java 0 → 100644
View file @ 10371104
package com.alibaba.datax.plugin.reader.cassandrareader;
/**
* Created by mazhenlin on 2019/8/19.
*/
public class Key {
public final static String USERNAME = "username";
public final static String PASSWORD = "password";
public final static String HOST = "host";
public final static String PORT = "port";
public final static String USESSL = "useSSL";
public final static String KEYSPACE = "keyspace";
public final static String TABLE = "table";
public final static String COLUMN = "column";
public final static String WHERE = "where";
public final static String ALLOW_FILTERING = "allowFiltering";
public final static String CONSITANCY_LEVEL = "consistancyLevel";
public final static String MIN_TOKEN = "minToken";
public final static String MAX_TOKEN = "maxToken";
/**
* 每个列的名字
*/
public static final String COLUMN_NAME = "name";
/**
* 列分隔符
*/
public static final String COLUMN_SPLITTER = "format";
public static final String WRITE_TIME = "writetime(";
public static final String ELEMENT_SPLITTER = "splitter";
public static final String ENTRY_SPLITTER = "entrySplitter";
public static final String KV_SPLITTER = "kvSplitter";
public static final String ELEMENT_CONFIG = "element";
public static final String TUPLE_CONNECTOR = "_";
public static final String KEY_CONFIG = "key";
public static final String VALUE_CONFIG = "value";
}
cassandrareader/src/main/java/com/alibaba/datax/plugin/reader/cassandrareader/LocalStrings.properties 0 → 100644
View file @ 10371104
errorcode.config_invalid_exception=\u914D\u7F6E\u9519\u8BEF
\ No newline at end of file
cassandrareader/src/main/java/com/alibaba/datax/plugin/reader/cassandrareader/LocalStrings_ja_JP.properties 0 → 100644
View file @ 10371104
errorcode.config_invalid_exception=\u914D\u7F6E\u9519\u8BEF
\ No newline at end of file
cassandrareader/src/main/java/com/alibaba/datax/plugin/reader/cassandrareader/LocalStrings_zh_CN.properties 0 → 100644
View file @ 10371104
errorcode.config_invalid_exception=\u914D\u7F6E\u9519\u8BEF
\ No newline at end of file
cassandrareader/src/main/java/com/alibaba/datax/plugin/reader/cassandrareader/LocalStrings_zh_HK.properties 0 → 100644
View file @ 10371104
errorcode.config_invalid_exception=\u914D\u7F6E\u9519\u8BEF
\ No newline at end of file
cassandrareader/src/main/java/com/alibaba/datax/plugin/reader/cassandrareader/LocalStrings_zh_TW.properties 0 → 100644
View file @ 10371104
errorcode.config_invalid_exception=\u914D\u7F6E\u9519\u8BEF
\ No newline at end of file
cassandrareader/src/main/resources/plugin.json 0 → 100644
View file @ 10371104
{
"name": "cassandrareader",
"class": "com.alibaba.datax.plugin.reader.cassandrareader.CassandraReader",
"description": "useScene: prod. mechanism: execute select cql, retrieve data from the ResultSet. warn: The more you know about the database, the less problems you encounter.",
"developer": "alibaba"
}
\ No newline at end of file
cassandrareader/src/main/resources/plugin_job_template.json 0 → 100644
View file @ 10371104
{
"name": "cassandrareader",
"parameter": {
"username": "",
"password": "",
"host": "",
"port": "",
"useSSL": false,
"keyspace": "",
"table": "",
"column": [
"c1","c2","c3"
]
}
}
\ No newline at end of file
cassandrawriter/doc/cassandrawriter.md 0 → 100644
View file @ 10371104
# CassandraWriter 插件文档
___
## 1 快速介绍
CassandraWriter插件实现了向Cassandra写入数据。在底层实现上，CassandraWriter通过datastax的java driver连接Cassandra实例，并执行相应的cql语句将数据写入cassandra中。
## 2 实现原理
简而言之，CassandraWriter通过java driver连接到Cassandra实例，并根据用户配置的信息生成INSERT CQL语句，然后发送到Cassandra。
对于用户配置Table、Column的信息，CassandraReader将其拼接为CQL语句发送到Cassandra。
## 3 功能说明
### 3.1 配置样例
* 配置一个从内存产生到Cassandra导入的作业:
```
{
"job": {
"setting": {
"speed": {
"channel": 5
}
},
"content": [
{
"reader": {
"name": "streamreader",
"parameter": {
"column": [
{"value":"name","type": "string"},
{"value":"false","type":"bool"},
{"value":"1988-08-08 08:08:08","type":"date"},
{"value":"addr","type":"bytes"},
{"value":1.234,"type":"double"},
{"value":12345678,"type":"long"},
{"value":2.345,"type":"double"},
{"value":3456789,"type":"long"},
{"value":"4a0ef8c0-4d97-11d0-db82-ebecdb03ffa5","type":"string"},
{"value":"value","type":"bytes"},
{"value":"-838383838,37377373,-383883838,27272772,393993939,-38383883,83883838,-1350403181,817650816,1630642337,251398784,-622020148","type":"string"},
],
"sliceRecordCount": 10000000
}
},
"writer": {
"name": "cassandrawriter",
"parameter": {
"host": "localhost",
"port": 9042,
"useSSL": false,
"keyspace": "stresscql",
"table": "dst",
"batchSize":10,
"column": [
"name",
"choice",
"date",
"address",
"dbl",
"lval",
"fval",
"ival",
"uid",
"value",
"listval"
]
}
}
}
]
}
}
```
### 3.2 参数说明
* **host**
* 描述：Cassandra连接点的域名或ip，多个node之间用逗号分隔。 <br />
* 必选：是 <br />
* 默认值：无 <br />
* **port**
* 描述：Cassandra端口。 <br />
* 必选：是 <br />
* 默认值：9042 <br />
* **username**
* 描述：数据源的用户名 <br />
* 必选：否 <br />
* 默认值：无 <br />
* **password**
* 描述：数据源指定用户名的密码 <br />
* 必选：否 <br />
* 默认值：无 <br />
* **useSSL**
* 描述：是否使用SSL连接。<br />
* 必选：否 <br />
* 默认值：false <br />
* **connectionsPerHost**
* 描述：客户端连接池配置：与服务器每个节点建多少个连接。<br />
* 必选：否 <br />
* 默认值：8 <br />
* **maxPendingPerConnection**
* 描述：客户端连接池配置：每个连接最大请求数。<br />
* 必选：否 <br />
* 默认值：128 <br />
* **keyspace**
* 描述：需要同步的表所在的keyspace。<br />
* 必选：是 <br />
* 默认值：无 <br />
* **table**
* 描述：所选取的需要同步的表。<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集合。<br />
内容可以是列的名称或"writetime()"。如果将列名配置为writetime()，会将这一列的内容作为时间戳。
* 必选：是 <br />
* 默认值：无 <br />
* **consistancyLevel**
* 描述：数据一致性级别。可选ONE|QUORUM|LOCAL_QUORUM|EACH_QUORUM|ALL|ANY|TWO|THREE|LOCAL_ONE<br />
* 必选：否 <br />
* 默认值：LOCAL_QUORUM <br />
* **batchSize**
* 描述：一次批量提交(UNLOGGED BATCH)的记录数大小（条数）。注意batch的大小有如下限制：<br />
（1）不能超过65535。<br />
(2) batch中的内容大小受到服务器端batch_size_fail_threshold_in_kb的限制。<br />
(3) 如果batch中的内容超过了batch_size_warn_threshold_in_kb的限制，会打出warn日志，但并不影响写入，忽略即可。<br />
如果批量提交失败，会把这个批量的所有内容重新逐条写入一遍。
* 必选：否 <br />
* 默认值：1 <br />
### 3.3 类型转换
目前CassandraReader支持除counter和Custom类型之外的所有类型。
下面列出CassandraReader针对Cassandra类型转换列表:
| DataX 内部类型| Cassandra 数据类型 |
| -------- | ----- |
| Long |int, tinyint, smallint,varint,bigint,time|
| Double |float, double, decimal|
| String |ascii,varchar, text,uuid,timeuuid,duration,list,map,set,tuple,udt,inet |
| Date |date, timestamp |
| Boolean |bool |
| Bytes |blob |
请注意:
* 目前不支持counter类型和custom类型。
## 4 性能报告
略
## 5 约束限制
### 5.1 主备同步数据恢复问题
略
## 6 FAQ
cassandrawriter/pom.xml 0 → 100644
View file @ 10371104
<?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>cassandrawriter</artifactId>
<name>cassandrawriter</name>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging>
<properties>
</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>com.datastax.cassandra</groupId>
<artifactId>cassandra-driver-core</artifactId>
<version>3.7.2</version>
</dependency>
<dependency>
<groupId>commons-codec</groupId>
<artifactId>commons-codec</artifactId>
<version>1.9</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>${datax-project-version}</version>
<exclusions>
<exclusion>
<groupId>com.alibaba.datax</groupId>
<artifactId>datax-service-face</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hive</groupId>
<artifactId>hive-serde</artifactId>
</exclusion>
<exclusion>
<groupId>javolution</groupId>
<artifactId>javolution</artifactId>
</exclusion>
</exclusions>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.mockito</groupId>
<artifactId>mockito-all</artifactId>
<version>1.9.5</version>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<resources>
<resource>
<directory>src/main/java</directory>
<includes>
<include>**/*.properties</include>
</includes>
</resource>
</resources>
<plugins>
<!-- compiler plugin -->
<plugin>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>1.6</source>
<target>1.6</target>
<encoding>${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>
\ No newline at end of file
cassandrawriter/src/main/assembly/package.xml 0 → 100644
View file @ 10371104
<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/cassandrawriter</outputDirectory>
</fileSet>
<fileSet>
<directory>target/</directory>
<includes>
<include>cassandrawriter-0.0.1-SNAPSHOT.jar</include>
</includes>
<outputDirectory>plugin/writer/cassandrawriter</outputDirectory>
</fileSet>
</fileSets>
<dependencySets>
<dependencySet>
<useProjectArtifact>false</useProjectArtifact>
<outputDirectory>plugin/writer/cassandrawriter/libs</outputDirectory>
<scope>runtime</scope>
</dependencySet>
</dependencySets>
</assembly>
cassandrawriter/src/main/java/com/alibaba/datax/plugin/writer/cassandrawriter/CassandraWriter.java 0 → 100644
View file @ 10371104
package com.alibaba.datax.plugin.writer.cassandrawriter;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeUnit;
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.spi.Writer;
import com.alibaba.datax.common.util.Configuration;
import com.datastax.driver.core.BatchStatement;
import com.datastax.driver.core.BatchStatement.Type;
import com.datastax.driver.core.BoundStatement;
import com.datastax.driver.core.Cluster;
import com.datastax.driver.core.ColumnMetadata;
import com.datastax.driver.core.ConsistencyLevel;
import com.datastax.driver.core.DataType;
import com.datastax.driver.core.HostDistance;
import com.datastax.driver.core.PoolingOptions;
import com.datastax.driver.core.PreparedStatement;
import com.datastax.driver.core.ResultSetFuture;
import com.datastax.driver.core.Session;
import com.datastax.driver.core.TableMetadata;
import com.datastax.driver.core.querybuilder.Insert;
import com.datastax.driver.core.querybuilder.QueryBuilder;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import static com.datastax.driver.core.querybuilder.QueryBuilder.timestamp;
/**
* Created by mazhenlin on 2019/8/19.
*/
public class CassandraWriter extends Writer {
private static final Logger LOG = LoggerFactory
.getLogger(CassandraWriter.class);
public static class Job extends Writer.Job {
private Configuration originalConfig = null;
@Override public List<Configuration> split(int mandatoryNumber) {
List<Configuration> splitResultConfigs = new ArrayList<Configuration>();
for (int j = 0; j < mandatoryNumber; j++) {
splitResultConfigs.add(originalConfig.clone());
}
return splitResultConfigs;
}
@Override public void init() {
originalConfig = getPluginJobConf();
}
@Override public void destroy() {
}
}
public static class Task extends Writer.Task {
private Configuration taskConfig;
private Cluster cluster = null;
private Session session = null;
private PreparedStatement statement = null;
private int columnNumber = 0;
private List<DataType> columnTypes;
private List<String> columnMeta = null;
private int writeTimeCol = -1;
private boolean asyncWrite = false;
private long batchSize = 1;
private List<ResultSetFuture> unConfirmedWrite;
private List<BoundStatement> bufferedWrite;
@Override public void startWrite(RecordReceiver lineReceiver) {
try {
Record record;
while ((record = lineReceiver.getFromReader()) != null) {
if (record.getColumnNumber() != 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(
CassandraWriterErrorCode.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));
}
BoundStatement boundStmt = statement.bind();
for (int i = 0; i < columnNumber; i++) {
if( writeTimeCol != -1 && i == writeTimeCol ) {
continue;
}
Column col = record.getColumn(i);
int pos = i;
if( writeTimeCol != -1 && pos > writeTimeCol ) {
pos = i - 1;
}
CassandraWriterHelper.setupColumn(boundStmt,pos,columnTypes.get(pos),col);
}
if(writeTimeCol != -1) {
Column col = record.getColumn(writeTimeCol );
boundStmt.setLong(columnNumber - 1,col.asLong());
}
if( batchSize <= 1 ) {
session.execute(boundStmt);
} else {
if( asyncWrite ) {
unConfirmedWrite.add(session.executeAsync(boundStmt));
if (unConfirmedWrite.size() >= batchSize) {
for (ResultSetFuture write : unConfirmedWrite) {
write.getUninterruptibly(10000, TimeUnit.MILLISECONDS);
}
unConfirmedWrite.clear();
}
} else {
bufferedWrite.add(boundStmt);
if( bufferedWrite.size() >= batchSize ) {
BatchStatement batchStatement = new BatchStatement(Type.UNLOGGED);
batchStatement.addAll(bufferedWrite);
try {
session.execute(batchStatement);
} catch (Exception e ) {
LOG.error("batch写入失败，尝试逐条写入.",e);
for( BoundStatement stmt: bufferedWrite ) {
session.execute(stmt);
}
}
///LOG.info("batch finished. size = " + bufferedWrite.size());
bufferedWrite.clear();
}
}
}
}
if( unConfirmedWrite != null && unConfirmedWrite.size() > 0 ) {
for( ResultSetFuture write : unConfirmedWrite ) {
write.getUninterruptibly(10000, TimeUnit.MILLISECONDS);
}
unConfirmedWrite.clear();
}
if( bufferedWrite !=null && bufferedWrite.size() > 0 ) {
BatchStatement batchStatement = new BatchStatement(Type.UNLOGGED);
batchStatement.addAll(bufferedWrite);
session.execute(batchStatement);
bufferedWrite.clear();
}
} catch (Exception e) {
throw DataXException.asDataXException(
CassandraWriterErrorCode.WRITE_DATA_ERROR, e);
}
}
@Override public void init() {
this.taskConfig = super.getPluginJobConf();
String username = taskConfig.getString(Key.USERNAME);
String password = taskConfig.getString(Key.PASSWORD);
String hosts = taskConfig.getString(Key.HOST);
Integer port = taskConfig.getInt(Key.PORT,9042);
boolean useSSL = taskConfig.getBool(Key.USESSL);
String keyspace = taskConfig.getString(Key.KEYSPACE);
String table = taskConfig.getString(Key.TABLE);
batchSize = taskConfig.getLong(Key.BATCH_SIZE,1);
this.columnMeta = taskConfig.getList(Key.COLUMN,String.class);
columnTypes = new ArrayList<DataType>(columnMeta.size());
columnNumber = columnMeta.size();
asyncWrite = taskConfig.getBool(Key.ASYNC_WRITE,false);
int connectionsPerHost = taskConfig.getInt(Key.CONNECTIONS_PER_HOST,8);
int maxPendingPerConnection = taskConfig.getInt(Key.MAX_PENDING_CONNECTION,128);
PoolingOptions poolingOpts = new PoolingOptions()
.setConnectionsPerHost(HostDistance.LOCAL, connectionsPerHost, connectionsPerHost)
.setMaxRequestsPerConnection(HostDistance.LOCAL, maxPendingPerConnection)
.setNewConnectionThreshold(HostDistance.LOCAL, 100);
Cluster.Builder clusterBuilder = Cluster.builder().withPoolingOptions(poolingOpts);
if ((username != null) && !username.isEmpty()) {
clusterBuilder = clusterBuilder.withCredentials(username, password)
.withPort(Integer.valueOf(port)).addContactPoints(hosts.split(","));
if (useSSL) {
clusterBuilder = clusterBuilder.withSSL();
}
} else {
clusterBuilder = clusterBuilder.withPort(Integer.valueOf(port))
.addContactPoints(hosts.split(","));
}
cluster = clusterBuilder.build();
session = cluster.connect(keyspace);
TableMetadata meta = cluster.getMetadata().getKeyspace(keyspace).getTable(table);
Insert insertStmt = QueryBuilder.insertInto(table);
for( String colunmnName : columnMeta ) {
if( colunmnName.toLowerCase().equals(Key.WRITE_TIME) ) {
if( writeTimeCol != -1 ) {
throw DataXException
.asDataXException(
CassandraWriterErrorCode.CONF_ERROR,
"列配置信息有错误. 只能有一个时间戳列(writetime())");
}
writeTimeCol = columnTypes.size();
continue;
}
insertStmt.value(colunmnName,QueryBuilder.bindMarker());
ColumnMetadata col = meta.getColumn(colunmnName);
if( col == null ) {
throw DataXException
.asDataXException(
CassandraWriterErrorCode.CONF_ERROR,
String.format(
"列配置信息有错误. 表中未找到列名 '%s' .",
colunmnName));
}
columnTypes.add(col.getType());
}
if(writeTimeCol != -1) {
insertStmt.using(timestamp(QueryBuilder.bindMarker()));
}
String cl = taskConfig.getString(Key.CONSITANCY_LEVEL);
if( cl != null && !cl.isEmpty() ) {
insertStmt.setConsistencyLevel(ConsistencyLevel.valueOf(cl));
} else {
insertStmt.setConsistencyLevel(ConsistencyLevel.LOCAL_QUORUM);
}
statement = session.prepare(insertStmt);
if( batchSize > 1 ) {
if( asyncWrite ) {
unConfirmedWrite = new ArrayList<ResultSetFuture>();
} else {
bufferedWrite = new ArrayList<BoundStatement>();
}
}
}
@Override public void destroy() {
}
}
}
cassandrawriter/src/main/java/com/alibaba/datax/plugin/writer/cassandrawriter/CassandraWriterErrorCode.java 0 → 100644
View file @ 10371104
package com.alibaba.datax.plugin.writer.cassandrawriter;
import com.alibaba.datax.common.spi.ErrorCode;
/**
* Created by mazhenlin on 2019/8/19.
*/
public enum CassandraWriterErrorCode implements ErrorCode {
CONF_ERROR("CassandraWriter-00", "配置错误."),
WRITE_DATA_ERROR("CassandraWriter-01", "写入数据时失败."),
;
private final String code;
private final String description;
private CassandraWriterErrorCode(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);
}
}
cassandrawriter/src/main/java/com/alibaba/datax/plugin/writer/cassandrawriter/CassandraWriterHelper.java 0 → 100644
View file @ 10371104
package com.alibaba.datax.plugin.writer.cassandrawriter;
import java.math.BigDecimal;
import java.math.BigInteger;
import java.net.InetAddress;
import java.nio.ByteBuffer;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Date;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.UUID;
import com.alibaba.datax.common.element.Column;
import com.alibaba.datax.common.exception.DataXException;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONException;
import com.alibaba.fastjson.JSONObject;
import com.datastax.driver.core.BoundStatement;
import com.datastax.driver.core.CodecRegistry;
import com.datastax.driver.core.DataType;
import com.datastax.driver.core.DataType.Name;
import com.datastax.driver.core.Duration;
import com.datastax.driver.core.LocalDate;
import com.datastax.driver.core.TupleType;
import com.datastax.driver.core.TupleValue;
import com.datastax.driver.core.UDTValue;
import com.datastax.driver.core.UserType;
import com.datastax.driver.core.UserType.Field;
import com.google.common.base.Splitter;
import org.apache.commons.codec.binary.Base64;
/**
* Created by mazhenlin on 2019/8/21.
*/
public class CassandraWriterHelper {
static CodecRegistry registry = new CodecRegistry();
public static Object parseFromString(String s, DataType sqlType ) throws Exception {
if (s == null || s.isEmpty()) {
if (sqlType.getName() == Name.ASCII || sqlType.getName() == Name.TEXT ||
sqlType.getName() == Name.VARCHAR) {
return s;
} else {
return null;
}
}
switch (sqlType.getName()) {
case ASCII:
case TEXT:
case VARCHAR:
return s;
case BLOB:
if (s.length() == 0) {
return new byte[0];
}
byte[] byteArray = new byte[s.length() / 2];
for (int i = 0; i < byteArray.length; i++) {
String subStr = s.substring(2 * i, 2 * i + 2);
byteArray[i] = ((byte) Integer.parseInt(subStr, 16));
}
return ByteBuffer.wrap(byteArray);
case BOOLEAN:
return Boolean.valueOf(s);
case TINYINT:
return Byte.valueOf(s);
case SMALLINT:
return Short.valueOf(s);
case INT:
return Integer.valueOf(s);
case BIGINT:
return Long.valueOf(s);
case VARINT:
return new BigInteger(s, 10);
case FLOAT:
return Float.valueOf(s);
case DOUBLE:
return Double.valueOf(s);
case DECIMAL:
return new BigDecimal(s);
case DATE: {
String[] a = s.split("-");
if (a.length != 3) {
throw new Exception(String.format("DATE类型数据 '%s' 格式不正确，必须为yyyy-mm-dd格式", s));
}
return LocalDate.fromYearMonthDay(Integer.valueOf(a[0]), Integer.valueOf(a[1]),
Integer.valueOf(a[2]));
}
case TIME:
return Long.valueOf(s);
case TIMESTAMP:
return new Date(Long.valueOf(s));
case UUID:
case TIMEUUID:
return UUID.fromString(s);
case INET:
String[] b = s.split("/");
if (b.length < 2) {
return InetAddress.getByName(s);
}
byte[] addr = InetAddress.getByName(b[1]).getAddress();
return InetAddress.getByAddress(b[0], addr);
case DURATION:
return Duration.from(s);
case LIST:
case MAP:
case SET:
case TUPLE:
case UDT:
Object jsonObject = JSON.parse(s);
return parseFromJson(jsonObject,sqlType);
default:
throw DataXException.asDataXException(CassandraWriterErrorCode.CONF_ERROR,
"不支持您配置的列类型:" + sqlType + ", 请检查您的配置 或者 联系 管理员.");
} // end switch
}
public static Object parseFromJson(Object jsonObject,DataType type) throws Exception {
if( jsonObject == null ) return null;
switch (type.getName()) {
case ASCII:
case TEXT:
case VARCHAR:
case BOOLEAN:
case TIME:
return jsonObject;
case TINYINT:
return ((Number)jsonObject).byteValue();
case SMALLINT:
return ((Number)jsonObject).shortValue();
case INT:
return ((Number)jsonObject).intValue();
case BIGINT:
return ((Number)jsonObject).longValue();
case VARINT:
return new BigInteger(jsonObject.toString());
case FLOAT:
return ((Number)jsonObject).floatValue();
case DOUBLE:
return ((Number)jsonObject).doubleValue();
case DECIMAL:
return new BigDecimal(jsonObject.toString());
case BLOB:
return ByteBuffer.wrap(Base64.decodeBase64((String)jsonObject));
case DATE:
return LocalDate.fromMillisSinceEpoch(((Number)jsonObject).longValue());
case TIMESTAMP:
return new Date(((Number)jsonObject).longValue());
case DURATION:
return Duration.from(jsonObject.toString());
case UUID:
case TIMEUUID:
return UUID.fromString(jsonObject.toString());
case INET:
return InetAddress.getByName((String)jsonObject);
case LIST:
List l = new ArrayList();
for( Object o : (JSONArray)jsonObject ) {
l.add(parseFromJson(o,type.getTypeArguments().get(0)));
}
return l;
case MAP: {
Map m = new HashMap();
for (JSONObject.Entry e : ((JSONObject)jsonObject).entrySet()) {
Object k = parseFromString((String) e.getKey(), type.getTypeArguments().get(0));
Object v = parseFromJson(e.getValue(), type.getTypeArguments().get(1));
m.put(k,v);
}
return m;
}
case SET:
Set s = new HashSet();
for( Object o : (JSONArray)jsonObject ) {
s.add(parseFromJson(o,type.getTypeArguments().get(0)));
}
return s;
case TUPLE: {
TupleValue t = ((TupleType) type).newValue();
int j = 0;
for (Object e : (JSONArray)jsonObject) {
DataType eleType = ((TupleType) type).getComponentTypes().get(j);
t.set(j, parseFromJson(e, eleType), registry.codecFor(eleType).getJavaType());
j++;
}
return t;
}
case UDT: {
UDTValue t = ((UserType) type).newValue();
UserType userType = t.getType();
for (JSONObject.Entry e : ((JSONObject)jsonObject).entrySet()) {
DataType eleType = userType.getFieldType((String)e.getKey());
t.set((String)e.getKey(), parseFromJson(e.getValue(), eleType), registry.codecFor(eleType).getJavaType());
}
return t;
}
}
return null;
}
public static void setupColumn(BoundStatement ps, int pos, DataType sqlType, Column col) throws Exception {
if (col.getRawData() != null) {
switch (sqlType.getName()) {
case ASCII:
case TEXT:
case VARCHAR:
ps.setString(pos, col.asString());
break;
case BLOB:
ps.setBytes(pos, ByteBuffer.wrap(col.asBytes()));
break;
case BOOLEAN:
ps.setBool(pos, col.asBoolean());
break;
case TINYINT:
ps.setByte(pos, col.asLong().byteValue());
break;
case SMALLINT:
ps.setShort(pos, col.asLong().shortValue());
break;
case INT:
ps.setInt(pos, col.asLong().intValue());
break;
case BIGINT:
ps.setLong(pos, col.asLong());
break;
case VARINT:
ps.setVarint(pos, col.asBigInteger());
break;
case FLOAT:
ps.setFloat(pos, col.asDouble().floatValue());
break;
case DOUBLE:
ps.setDouble(pos, col.asDouble());
break;
case DECIMAL:
ps.setDecimal(pos, col.asBigDecimal());
break;
case DATE:
ps.setDate(pos, LocalDate.fromMillisSinceEpoch(col.asDate().getTime()));
break;
case TIME:
ps.setTime(pos, col.asLong());
break;
case TIMESTAMP:
ps.setTimestamp(pos, col.asDate());
break;
case UUID:
case TIMEUUID:
ps.setUUID(pos, UUID.fromString(col.asString()));
break;
case INET:
ps.setInet(pos, InetAddress.getByName(col.asString()));
break;
case DURATION:
ps.set(pos, Duration.from(col.asString()), Duration.class);
break;
case LIST:
ps.setList(pos, (List<?>) parseFromString(col.asString(), sqlType));
break;
case MAP:
ps.setMap(pos, (Map) parseFromString(col.asString(), sqlType));
break;
case SET:
ps.setSet(pos, (Set) parseFromString(col.asString(), sqlType));
break;
case TUPLE:
ps.setTupleValue(pos, (TupleValue) parseFromString(col.asString(), sqlType));
break;
case UDT:
ps.setUDTValue(pos, (UDTValue) parseFromString(col.asString(), sqlType));
break;
default:
throw DataXException.asDataXException(CassandraWriterErrorCode.CONF_ERROR,
"不支持您配置的列类型:" + sqlType + ", 请检查您的配置 或者 联系 管理员.");
} // end switch
} else {
ps.setToNull(pos);
}
}
}
cassandrawriter/src/main/java/com/alibaba/datax/plugin/writer/cassandrawriter/Key.java 0 → 100644
View file @ 10371104
package com.alibaba.datax.plugin.writer.cassandrawriter;
/**
* Created by mazhenlin on 2019/8/19.
*/
public class Key {
public final static String USERNAME = "username";
public final static String PASSWORD = "password";
public final static String HOST = "host";
public final static String PORT = "port";
public final static String USESSL = "useSSL";
public final static String KEYSPACE = "keyspace";
public final static String TABLE = "table";
public final static String COLUMN = "column";
public final static String WRITE_TIME = "writetime()";
public final static String ASYNC_WRITE = "asyncWrite";
public final static String CONSITANCY_LEVEL = "consistancyLevel";
public final static String CONNECTIONS_PER_HOST = "connectionsPerHost";
public final static String MAX_PENDING_CONNECTION = "maxPendingPerConnection";
/**
* 异步写入的批次大小，默认1（不异步写入）
*/
public final static String BATCH_SIZE = "batchSize";
/**
* 每个列的名字
*/
public static final String COLUMN_NAME = "name";
/**
* 列分隔符
*/
public static final String COLUMN_SPLITTER = "format";
public static final String ELEMENT_SPLITTER = "splitter";
public static final String ENTRY_SPLITTER = "entrySplitter";
public static final String KV_SPLITTER = "kvSplitter";
public static final String ELEMENT_CONFIG = "element";
public static final String TUPLE_CONNECTOR = "_";
public static final String KEY_CONFIG = "key";
public static final String VALUE_CONFIG = "value";
}
cassandrawriter/src/main/java/com/alibaba/datax/plugin/writer/cassandrawriter/LocalStrings.properties 0 → 100644
View file @ 10371104
errorcode.config_invalid_exception=\u914D\u7F6E\u9519\u8BEF.
errorcode.write_failed_exception=\u5199\u5165\u6570\u636E\u65F6\u5931\u8D25
\ No newline at end of file
cassandrawriter/src/main/java/com/alibaba/datax/plugin/writer/cassandrawriter/LocalStrings_en_US.properties 0 → 100644
View file @ 10371104
errorcode.config_invalid_exception=Error in parameter configuration.
errorcode.write_failed_exception=\u5199\u5165\u6570\u636E\u65F6\u5931\u8D25
\ No newline at end of file
cassandrawriter/src/main/java/com/alibaba/datax/plugin/writer/cassandrawriter/LocalStrings_ja_JP.properties 0 → 100644
View file @ 10371104
errorcode.config_invalid_exception=\u914D\u7F6E\u9519\u8BEF.
errorcode.write_failed_exception=\u5199\u5165\u6570\u636E\u65F6\u5931\u8D25
\ No newline at end of file
cassandrawriter/src/main/java/com/alibaba/datax/plugin/writer/cassandrawriter/LocalStrings_zh_CN.properties 0 → 100644
View file @ 10371104
errorcode.config_invalid_exception=\u914D\u7F6E\u9519\u8BEF.
errorcode.write_failed_exception=\u5199\u5165\u6570\u636E\u65F6\u5931\u8D25
\ No newline at end of file
cassandrawriter/src/main/java/com/alibaba/datax/plugin/writer/cassandrawriter/LocalStrings_zh_HK.properties 0 → 100644
View file @ 10371104
errorcode.config_invalid_exception=\u914D\u7F6E\u9519\u8BEF.
errorcode.write_failed_exception=\u5199\u5165\u6570\u636E\u65F6\u5931\u8D25
\ No newline at end of file
cassandrawriter/src/main/java/com/alibaba/datax/plugin/writer/cassandrawriter/LocalStrings_zh_TW.properties 0 → 100644
View file @ 10371104
errorcode.config_invalid_exception=\u914D\u7F6E\u9519\u8BEF.
errorcode.write_failed_exception=\u5199\u5165\u6570\u636E\u65F6\u5931\u8D25
\ No newline at end of file
cassandrawriter/src/main/resources/plugin.json 0 → 100644
View file @ 10371104
{
"name": "cassandrawriter",
"class": "com.alibaba.datax.plugin.writer.cassandrawriter.CassandraWriter",
"description": "useScene: prod. mechanism: use datax driver, execute insert sql.",
"developer": "alibaba"
}
cassandrawriter/src/main/resources/plugin_job_template.json 0 → 100644
View file @ 10371104
{
"name": "cassandrawriter",
"parameter": {
"username": "",
"password": "",
"host": "",
"port": "",
"useSSL": false,
"keyspace": "",
"table": "",
"column": [
"c1","c2","c3"
]
}
}
\ No newline at end of file
package.xml
View file @ 10371104
...@@ -166,6 +166,13 @@ ...@@ -166,6 +166,13 @@
</includes> </includes>
<outputDirectory>datax</outputDirectory> <outputDirectory>datax</outputDirectory>
</fileSet> </fileSet>
<fileSet>
<directory>cassandrareader/target/datax/</directory>
<includes>
<include>**/*.*</include>
</includes>
<outputDirectory>datax</outputDirectory>
</fileSet>
<!-- writer --> <!-- writer -->
<fileSet> <fileSet>
...@@ -343,5 +350,12 @@ ...@@ -343,5 +350,12 @@
</includes> </includes>
<outputDirectory>datax</outputDirectory> <outputDirectory>datax</outputDirectory>
</fileSet> </fileSet>
<fileSet>
<directory>cassandrawriter/target/datax/</directory>
<includes>
<include>**/*.*</include>
</includes>
<outputDirectory>datax</outputDirectory>
</fileSet>
</fileSets> </fileSets>
</assembly> </assembly>
pom.xml
View file @ 10371104
...@@ -63,6 +63,7 @@ ...@@ -63,6 +63,7 @@
<module>hbase11xreader</module> <module>hbase11xreader</module>
<module>hbase094xreader</module> <module>hbase094xreader</module>
<module>opentsdbreader</module> <module>opentsdbreader</module>
<module>cassandrareader</module>
<!-- writer --> <!-- writer -->
<module>mysqlwriter</module> <module>mysqlwriter</module>
...@@ -89,6 +90,7 @@ ...@@ -89,6 +90,7 @@
<module>tsdbwriter</module> <module>tsdbwriter</module>
<module>adbpgwriter</module> <module>adbpgwriter</module>
<module>gdbwriter</module> <module>gdbwriter</module>
<module>cassandrawriter</module>
<!-- common support module --> <!-- common support module -->
<module>plugin-rdbms-util</module> <module>plugin-rdbms-util</module>
......
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