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merge latest code to main
This commit is contained in:
dingbo
commit
32efb130d7
@ -60,8 +60,7 @@ DataX目前已经有了比较全面的插件体系，主流的RDBMS数据库、N
|
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| | 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)|
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| | 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)|
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| | Elasticsearch | | √ |[写](https://github.com/alibaba/DataX/blob/master/elasticsearchwriter/doc/elasticsearchwriter.md)|
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| 时间序列数据库 | TDengine | √ | √ |[读](https://github.com/taosdata/DataX/blob/master/tdenginereader/doc/tdenginereader.md) 、[写](https://github.com/taosdata/DataX/blob/master/tdenginewriter/doc/tdenginewriter.md)|
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| | OpenTSDB | √ | |[读](https://github.com/alibaba/DataX/blob/master/opentsdbreader/doc/opentsdbreader.md)|
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| 时间序列数据库 | OpenTSDB | √ | |[读](https://github.com/alibaba/DataX/blob/master/opentsdbreader/doc/opentsdbreader.md)|
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| | TSDB | √ | √ |[读](https://github.com/alibaba/DataX/blob/master/tsdbreader/doc/tsdbreader.md) 、[写](https://github.com/alibaba/DataX/blob/master/tsdbwriter/doc/tsdbhttpwriter.md)|
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# 阿里云DataWorks数据集成
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12
core/pom.xml
12
core/pom.xml
@ -97,18 +97,6 @@
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<artifactId>groovy-all</artifactId>
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<version>2.1.9</version>
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</dependency>
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<dependency>
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<groupId>mysql</groupId>
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<artifactId>mysql-connector-java</artifactId>
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<version>${mysql.driver.version}</version>
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<scope>test</scope>
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</dependency>
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<dependency>
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||||
<groupId>com.taosdata.jdbc</groupId>
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<artifactId>taos-jdbcdriver</artifactId>
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||||
<version>2.0.34</version>
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<scope>test</scope>
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</dependency>
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</dependencies>
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<build>
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|
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@ -1,78 +0,0 @@
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{
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"job": {
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"setting": {
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"speed": {
|
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"channel": 2
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||||
}
|
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},
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"content": [
|
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{
|
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"reader": {
|
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"name": "mongodbreader",
|
||||
"parameter": {
|
||||
"address": [
|
||||
"127.0.0.1:27017"
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||||
],
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"userName": "mongouser",
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||||
"mechanism": "SCRAM-SHA-1",
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"userPassword": "mongopass",
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"authDb": "admin",
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"dbName": "test",
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"collectionName": "cu_market_data",
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"column": [
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{
|
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"name": "instrumentID",
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"type": "string"
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},
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{
|
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"name": "tradeTime",
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"type": "date"
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},
|
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{
|
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"name": "lastPrice",
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"type": "double"
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},
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{
|
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"name": "askPrice1",
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"type": "double"
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},
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{
|
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"name": "bidPrice1",
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"type": "double"
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},
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{
|
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"name": "volume",
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"type": "int"
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}
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]
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}
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},
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"writer": {
|
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"name": "tdenginewriter",
|
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"parameter": {
|
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"host": "127.0.0.1",
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"port": 6030,
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"dbname": "test",
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"user": "root",
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"password": "taosdata",
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"stable": "market_snapshot",
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"batchSize": 35,
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"tagColumn": {
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"product": "cu",
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"instrumentID": 0
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},
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"fieldColumn": {
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"lastPrice": 2,
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"askPrice1": 3,
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"bidPrice1": 4,
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"volume": 5
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},
|
||||
"timestampColumn": {
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"tradeTime": 1
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}
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
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@ -1,58 +0,0 @@
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{
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"job": {
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"content": [
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{
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"reader": {
|
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"name": "mysqlreader",
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"parameter": {
|
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"username": "root",
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"password": "passw0rd",
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"column": [
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"*"
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],
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"splitPk": "station",
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"connection": [
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||||
{
|
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"table": [
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"weather"
|
||||
],
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"jdbcUrl": [
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"jdbc:mysql://127.0.0.1:3306/test?useSSL=false&useUnicode=true&characterEncoding=utf8"
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]
|
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}
|
||||
]
|
||||
}
|
||||
},
|
||||
"writer": {
|
||||
"name": "tdenginewriter",
|
||||
"parameter": {
|
||||
"host": "127.0.0.1",
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||||
"port": 6030,
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"dbname": "test",
|
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"user": "root",
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||||
"password": "taosdata",
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||||
"batchSize": 1000,
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"stable": "weather",
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"tagColumn": {
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"station": 0
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},
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"fieldColumn": {
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"latitude": 1,
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"longtitude": 2,
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"tmax": 4,
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"tmin": 5
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},
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"timestampColumn":{
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"date": 3
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}
|
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}
|
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}
|
||||
}
|
||||
],
|
||||
"setting": {
|
||||
"speed": {
|
||||
"channel": 1
|
||||
}
|
||||
}
|
||||
}
|
||||
}
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@ -1,35 +0,0 @@
|
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{
|
||||
"job": {
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||||
"content": [
|
||||
{
|
||||
"reader": {
|
||||
"name": "opentsdbreader",
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||||
"parameter": {
|
||||
"endpoint": "http://192.168.1.180:4242",
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||||
"column": [
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"weather_temperature"
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||||
],
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||||
"beginDateTime": "2021-01-01 00:00:00",
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||||
"endDateTime": "2021-01-01 01:00:00"
|
||||
}
|
||||
},
|
||||
"writer": {
|
||||
"name": "tdenginewriter",
|
||||
"parameter": {
|
||||
"host": "192.168.56.105",
|
||||
"port": 6030,
|
||||
"dbname": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata",
|
||||
"batchSize": 1000
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"setting": {
|
||||
"speed": {
|
||||
"channel": 1
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,56 +0,0 @@
|
||||
{
|
||||
"job": {
|
||||
"content": [
|
||||
{
|
||||
"reader": {
|
||||
"name": "streamreader",
|
||||
"parameter": {
|
||||
"column": [
|
||||
{
|
||||
"random": "2021-01-01 00:00:00, 2021-01-01 23:59:59",
|
||||
"type": "date"
|
||||
},
|
||||
{
|
||||
"random": "0, 10000",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"random": "0, 10",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"random": "0, 5",
|
||||
"type": "bool"
|
||||
},
|
||||
{
|
||||
"random": "0, 10",
|
||||
"type": "double"
|
||||
},
|
||||
{
|
||||
"random": "0, 10",
|
||||
"type": "bytes"
|
||||
}
|
||||
],
|
||||
"sliceRecordCount": 100
|
||||
}
|
||||
},
|
||||
"writer": {
|
||||
"name": "tdenginewriter",
|
||||
"parameter": {
|
||||
"host": "192.168.56.105",
|
||||
"port": 6030,
|
||||
"dbname": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata",
|
||||
"batchSize": 1000
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"setting": {
|
||||
"speed": {
|
||||
"channel": 1
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,38 +0,0 @@
|
||||
{
|
||||
"job": {
|
||||
"content": [
|
||||
{
|
||||
"reader": {
|
||||
"name": "tdenginereader",
|
||||
"parameter": {
|
||||
"host": "192.168.1.82",
|
||||
"port": 6030,
|
||||
"db": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata",
|
||||
"sql": "select * from weather",
|
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"beginDateTime": "2021-01-01 00:00:00",
|
||||
"endDateTime": "2021-01-02 00:00:00",
|
||||
"splitInterval": "1h"
|
||||
}
|
||||
},
|
||||
"writer": {
|
||||
"name": "tdenginewriter",
|
||||
"parameter": {
|
||||
"host": "192.168.56.105",
|
||||
"port": 6030,
|
||||
"dbname": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata",
|
||||
"batchSize": 1000
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"setting": {
|
||||
"speed": {
|
||||
"channel": 1
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,21 +0,0 @@
|
||||
package com.alibaba.datax.core;
|
||||
|
||||
|
||||
import org.junit.Test;
|
||||
|
||||
public class EngineTest {
|
||||
|
||||
@Test
|
||||
public void test() {
|
||||
System.out.println(System.getProperty("java.library.path"));
|
||||
// String[] params = {"-mode", "standalone", "-jobid", "-1", "-job", "src/main/job/opentsdb2tdengine.json"};
|
||||
String[] params = {"-mode", "standalone", "-jobid", "-1", "-job", "src/main/job/mysql2tdengine.json"};
|
||||
System.setProperty("datax.home", "../target/datax/datax");
|
||||
try {
|
||||
Engine.entry(params);
|
||||
} catch (Throwable e) {
|
||||
e.printStackTrace();
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
@ -1,104 +0,0 @@
|
||||
package com.alibaba.datax.core;
|
||||
|
||||
import org.junit.Test;
|
||||
|
||||
import java.sql.*;
|
||||
import java.util.Arrays;
|
||||
import java.util.Calendar;
|
||||
import java.util.List;
|
||||
import java.util.Random;
|
||||
|
||||
/**
|
||||
* 测试从mysql到TDengine
|
||||
*/
|
||||
public class TestMysql2TDengine {
|
||||
|
||||
@Test
|
||||
public void genTestData() throws SQLException {
|
||||
Connection conn;
|
||||
Statement stmt = null;
|
||||
PreparedStatement pstmt = null;
|
||||
|
||||
try {
|
||||
conn = DriverManager.getConnection("jdbc:mysql://localhost/mysql?" +
|
||||
"user=root&password=passw0rd");
|
||||
stmt = conn.createStatement();
|
||||
stmt.execute("create database if not exists test");
|
||||
stmt.execute("use test");
|
||||
stmt.execute("drop table weather");
|
||||
stmt.execute("CREATE TABLE IF NOT EXISTS weather(station varchar(100), latitude DOUBLE, longtitude DOUBLE, `date` DATETIME, tmax INT, tmin INT)");
|
||||
pstmt = conn.prepareStatement("insert into weather(station, latitude, longtitude, `date`, tmax, tmin) values (?, ?, ?, ?, ?, ?)");
|
||||
genRandomData(pstmt);
|
||||
} finally {
|
||||
if (stmt != null) {
|
||||
try {
|
||||
stmt.close();
|
||||
} catch (SQLException sqlEx) {
|
||||
} // ignore
|
||||
|
||||
stmt = null;
|
||||
}
|
||||
|
||||
if (pstmt != null) {
|
||||
pstmt.close();
|
||||
pstmt = null;
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
private void genRandomData(PreparedStatement psmt) throws SQLException {
|
||||
Random random = new Random();
|
||||
Calendar calendar = Calendar.getInstance();
|
||||
calendar.set(1990, 0, 1, 1, 0, 0);
|
||||
List<String> stations = Arrays.asList("STA", "STB", "STC");
|
||||
for (int i = 0; i < (10 * 100 * 24); i++) {
|
||||
for (int j = 0; j < 3; j++) {
|
||||
psmt.setString(1, stations.get(j));
|
||||
psmt.setDouble(2, random.nextDouble() * 1000);
|
||||
psmt.setDouble(3, random.nextDouble() * 1000);
|
||||
psmt.setTimestamp(4, new java.sql.Timestamp(calendar.getTime().getTime()));
|
||||
psmt.setInt(5, random.nextInt(100));
|
||||
psmt.setInt(6, random.nextInt(100));
|
||||
psmt.addBatch();
|
||||
}
|
||||
calendar.add(Calendar.MINUTE, 60);
|
||||
if (i % 1000 == 0) {
|
||||
psmt.executeBatch();
|
||||
}
|
||||
}
|
||||
psmt.executeBatch();
|
||||
}
|
||||
|
||||
@Test
|
||||
public void prepareTDengine() throws SQLException {
|
||||
Connection conn;
|
||||
Statement stmt = null;
|
||||
|
||||
try {
|
||||
conn = DriverManager.getConnection("jdbc:TAOS://127.0.0.1:6030/log?user=root&password=taosdata");
|
||||
stmt = conn.createStatement();
|
||||
stmt.execute("drop database if exists test");
|
||||
stmt.execute("create database if not exists test keep 36500");
|
||||
stmt.execute("drop stable if exists test.weather");
|
||||
} finally {
|
||||
if (stmt != null) {
|
||||
stmt.close();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
public void test() {
|
||||
System.out.println(System.getProperty("java.library.path"));
|
||||
String[] params = {"-mode", "standalone", "-jobid", "-1", "-job", "src/main/job/mysql2tdengine.json"};
|
||||
System.setProperty("datax.home", "../target/datax/datax");
|
||||
try {
|
||||
Engine.entry(params);
|
||||
} catch (Throwable e) {
|
||||
e.printStackTrace();
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
15
package.xml
15
package.xml
@ -180,17 +180,17 @@
|
||||
</includes>
|
||||
<outputDirectory>datax</outputDirectory>
|
||||
</fileSet>
|
||||
|
||||
<!-- writer -->
|
||||
<fileSet>
|
||||
<directory>tdenginereader/target/datax/</directory>
|
||||
<directory>mysqlwriter/target/datax/</directory>
|
||||
<includes>
|
||||
<include>**/*.*</include>
|
||||
</includes>
|
||||
<outputDirectory>datax</outputDirectory>
|
||||
</fileSet>
|
||||
|
||||
<!-- writer -->
|
||||
<fileSet>
|
||||
<directory>mysqlwriter/target/datax/</directory>
|
||||
<directory>tdenginewriter/target/datax/</directory>
|
||||
<includes>
|
||||
<include>**/*.*</include>
|
||||
</includes>
|
||||
@ -399,12 +399,5 @@
|
||||
</includes>
|
||||
<outputDirectory>datax</outputDirectory>
|
||||
</fileSet>
|
||||
<fileSet>
|
||||
<directory>tdenginewriter/target/datax/</directory>
|
||||
<includes>
|
||||
<include>**/*.*</include>
|
||||
</includes>
|
||||
<outputDirectory>datax</outputDirectory>
|
||||
</fileSet>
|
||||
</fileSets>
|
||||
</assembly>
|
||||
|
||||
92
pom.xml
92
pom.xml
@ -48,68 +48,66 @@
|
||||
|
||||
<!-- reader -->
|
||||
<module>mysqlreader</module>
|
||||
<!-- <module>drdsreader</module>-->
|
||||
<!-- <module>sqlserverreader</module>-->
|
||||
<!-- <module>postgresqlreader</module>-->
|
||||
<!-- <module>kingbaseesreader</module>-->
|
||||
<!-- <module>oraclereader</module>-->
|
||||
<module>drdsreader</module>
|
||||
<module>sqlserverreader</module>
|
||||
<module>postgresqlreader</module>
|
||||
<module>kingbaseesreader</module>
|
||||
<module>oraclereader</module>
|
||||
<module>odpsreader</module>
|
||||
<!-- <module>otsreader</module>-->
|
||||
<!-- <module>otsstreamreader</module>-->
|
||||
<module>otsreader</module>
|
||||
<module>otsstreamreader</module>
|
||||
<module>txtfilereader</module>
|
||||
<!-- <module>hdfsreader</module>-->
|
||||
<module>hdfsreader</module>
|
||||
<module>streamreader</module>
|
||||
<!-- <module>ossreader</module>-->
|
||||
<!-- <module>ftpreader</module>-->
|
||||
<!-- <module>mongodbreader</module>-->
|
||||
<module>ossreader</module>
|
||||
<module>ftpreader</module>
|
||||
<module>mongodbreader</module>
|
||||
<module>rdbmsreader</module>
|
||||
<!-- <module>hbase11xreader</module>-->
|
||||
<!-- <module>hbase094xreader</module>-->
|
||||
<!-- <module>tsdbreader</module>-->
|
||||
<module>hbase11xreader</module>
|
||||
<module>hbase094xreader</module>
|
||||
<module>tsdbreader</module>
|
||||
<module>opentsdbreader</module>
|
||||
<!-- <module>cassandrareader</module>-->
|
||||
<!-- <module>gdbreader</module>-->
|
||||
<!-- <module>oceanbasev10reader</module>-->
|
||||
<module>cassandrareader</module>
|
||||
<module>gdbreader</module>
|
||||
<module>oceanbasev10reader</module>
|
||||
|
||||
<!-- writer -->
|
||||
<!-- <module>mysqlwriter</module>-->
|
||||
<!-- <module>drdswriter</module>-->
|
||||
<module>mysqlwriter</module>
|
||||
<module>tdenginewriter</module>
|
||||
<module>drdswriter</module>
|
||||
<module>odpswriter</module>
|
||||
<module>txtfilewriter</module>
|
||||
<!-- <module>ftpwriter</module>-->
|
||||
<!-- <module>hdfswriter</module>-->
|
||||
<module>ftpwriter</module>
|
||||
<module>hdfswriter</module>
|
||||
<module>streamwriter</module>
|
||||
<!-- <module>otswriter</module>-->
|
||||
<!-- <module>oraclewriter</module>-->
|
||||
<!-- <module>sqlserverwriter</module>-->
|
||||
<!-- <module>postgresqlwriter</module>-->
|
||||
<!-- <module>kingbaseeswriter</module>-->
|
||||
<!-- <module>osswriter</module>-->
|
||||
<!-- <module>mongodbwriter</module>-->
|
||||
<module>otswriter</module>
|
||||
<module>oraclewriter</module>
|
||||
<module>sqlserverwriter</module>
|
||||
<module>postgresqlwriter</module>
|
||||
<module>kingbaseeswriter</module>
|
||||
<module>osswriter</module>
|
||||
<module>mongodbwriter</module>
|
||||
<module>adswriter</module>
|
||||
<!-- <module>ocswriter</module>-->
|
||||
<module>ocswriter</module>
|
||||
<module>rdbmswriter</module>
|
||||
<!-- <module>hbase11xwriter</module>-->
|
||||
<!-- <module>hbase094xwriter</module>-->
|
||||
<!-- <module>hbase11xsqlwriter</module>-->
|
||||
<!-- <module>hbase11xsqlreader</module>-->
|
||||
<!-- <module>elasticsearchwriter</module>-->
|
||||
<!-- <module>tsdbwriter</module>-->
|
||||
<!-- <module>adbpgwriter</module>-->
|
||||
<!-- <module>gdbwriter</module>-->
|
||||
<!-- <module>cassandrawriter</module>-->
|
||||
<!-- <module>clickhousewriter</module>-->
|
||||
<!-- <module>oscarwriter</module>-->
|
||||
<!-- <module>oceanbasev10writer</module>-->
|
||||
|
||||
<module>hbase11xwriter</module>
|
||||
<module>hbase094xwriter</module>
|
||||
<module>hbase11xsqlwriter</module>
|
||||
<module>hbase11xsqlreader</module>
|
||||
<module>elasticsearchwriter</module>
|
||||
<module>tsdbwriter</module>
|
||||
<module>adbpgwriter</module>
|
||||
<module>gdbwriter</module>
|
||||
<module>cassandrawriter</module>
|
||||
<module>clickhousewriter</module>
|
||||
<module>oscarwriter</module>
|
||||
<module>oceanbasev10writer</module>
|
||||
<!-- common support module -->
|
||||
<module>plugin-rdbms-util</module>
|
||||
<module>plugin-unstructured-storage-util</module>
|
||||
<!-- <module>hbase20xsqlreader</module>-->
|
||||
<!-- <module>hbase20xsqlwriter</module>-->
|
||||
<!-- <module>kuduwriter</module>-->
|
||||
<module>tdenginewriter</module>
|
||||
<module>tdenginereader</module>
|
||||
<module>hbase20xsqlreader</module>
|
||||
<module>hbase20xsqlwriter</module>
|
||||
<module>kuduwriter</module>
|
||||
</modules>
|
||||
|
||||
<dependencyManagement>
|
||||
|
||||
@ -1,145 +0,0 @@
|
||||
# DataX TDengineReader
|
||||
|
||||
## 1 快速介绍
|
||||
|
||||
TDengineReader 插件实现了 TDengine 读取数据的功能。
|
||||
|
||||
## 2 实现原理
|
||||
|
||||
TDengineReader 通过TDengine的JDBC driver查询获取数据。
|
||||
|
||||
## 3 功能说明
|
||||
|
||||
### 3.1 配置样例
|
||||
|
||||
```json
|
||||
{
|
||||
"job": {
|
||||
"content": [
|
||||
{
|
||||
"reader": {
|
||||
"name": "tdenginereader",
|
||||
"parameter": {
|
||||
"host": "192.168.1.82",
|
||||
"port": 6030,
|
||||
"db": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata",
|
||||
"sql": "select * from weather",
|
||||
"beginDateTime": "2021-01-01 00:00:00",
|
||||
"endDateTime": "2021-01-02 00:00:00",
|
||||
"splitInterval": "1h"
|
||||
}
|
||||
},
|
||||
"writer": {
|
||||
"name": "streamwriter",
|
||||
"parameter": {
|
||||
"encoding": "UTF-8",
|
||||
"print": true
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"setting": {
|
||||
"speed": {
|
||||
"channel": 1
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 3.2 参数说明
|
||||
|
||||
* **host**
|
||||
* 描述：TDengine实例的host。
|
||||
* 必选：是 <br />
|
||||
* 默认值：无 <br />
|
||||
* **port**
|
||||
* 描述：TDengine实例的port。
|
||||
* 必选：是 <br />
|
||||
* 默认值：无 <br />
|
||||
* **dbname**
|
||||
* 描述：目的数据库的名称。
|
||||
* 必选：是 <br />
|
||||
* 默认值：无 <br />
|
||||
* **username**
|
||||
* 描述：TDengine实例的用户名 <br />
|
||||
* 必选：是 <br />
|
||||
* 默认值：无 <br />
|
||||
* **password**
|
||||
* 描述：TDengine实例的密码 <br />
|
||||
* 必选：是 <br />
|
||||
* 默认值：无 <br />
|
||||
* **sql**
|
||||
* 描述：用来筛选迁移数据的sql <br />
|
||||
* 必选：是 <br />
|
||||
* 默认值：无 <br />
|
||||
* **beginDateTime**
|
||||
* 描述：TDengine实例的密码 <br />
|
||||
* 必选：是 <br />
|
||||
* 默认值：无 <br />
|
||||
* **endDateTime**
|
||||
* 描述： <br />
|
||||
* 必选：是 <br />
|
||||
* 默认值：无 <br />
|
||||
* **splitInterval**
|
||||
* 描述：按照splitInterval来划分task, 每splitInterval创建一个task <br />
|
||||
* 必选：否 <br />
|
||||
* 默认值：1h <br />
|
||||
|
||||
### 3.3 类型转换
|
||||
|
||||
|
||||
## 4 性能报告
|
||||
|
||||
### 4.1 环境准备
|
||||
|
||||
#### 4.1.1 数据特征
|
||||
|
||||
建表语句：
|
||||
|
||||
单行记录类似于：
|
||||
|
||||
#### 4.1.2 机器参数
|
||||
|
||||
* 执行DataX的机器参数为:
|
||||
1. cpu:
|
||||
2. mem:
|
||||
3. net: 千兆双网卡
|
||||
4. disc: DataX 数据不落磁盘，不统计此项
|
||||
|
||||
* TDengine数据库机器参数为:
|
||||
1. cpu:
|
||||
2. mem:
|
||||
3. net: 千兆双网卡
|
||||
4. disc:
|
||||
|
||||
#### 4.1.3 DataX jvm 参数
|
||||
|
||||
-Xms1024m -Xmx1024m -XX:+HeapDumpOnOutOfMemoryError
|
||||
|
||||
### 4.2 测试报告
|
||||
|
||||
#### 4.2.1 单表测试报告
|
||||
|
||||
| 通道数| DataX速度(Rec/s)|DataX流量(MB/s)| DataX机器网卡流出流量(MB/s)|DataX机器运行负载|DB网卡进入流量(MB/s)|DB运行负载|DB TPS|
|
||||
|--------| --------|--------|--------|--------|--------|--------|--------|
|
||||
|1| | | | | | | |
|
||||
|4| | | | | | | |
|
||||
|8| | | | | | | |
|
||||
|16| | | | | | | |
|
||||
|32| | | | | | | |
|
||||
|
||||
说明：
|
||||
1. 这里的单表，主键类型为 bigint(20),自增。
|
||||
2. batchSize 和 通道个数，对性能影响较大。
|
||||
|
||||
#### 4.2.4 性能测试小结
|
||||
|
||||
1.
|
||||
2.
|
||||
|
||||
## 5 约束限制
|
||||
|
||||
## FAQ
|
||||
@ -1,90 +0,0 @@
|
||||
<?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>tdenginereader</artifactId>
|
||||
|
||||
<properties>
|
||||
<maven.compiler.source>8</maven.compiler.source>
|
||||
<maven.compiler.target>8</maven.compiler.target>
|
||||
</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>junit</groupId>
|
||||
<artifactId>junit</artifactId>
|
||||
<version>${junit-version}</version>
|
||||
<scope>test</scope>
|
||||
</dependency>
|
||||
|
||||
</dependencies>
|
||||
|
||||
<build>
|
||||
<plugins>
|
||||
<!-- compiler plugin -->
|
||||
<plugin>
|
||||
<artifactId>maven-compiler-plugin</artifactId>
|
||||
<configuration>
|
||||
<source>${jdk-version}</source>
|
||||
<target>${jdk-version}</target>
|
||||
<encoding>${project-sourceEncoding}</encoding>
|
||||
</configuration>
|
||||
</plugin>
|
||||
<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>
|
||||
|
||||
<plugin>
|
||||
<groupId>org.apache.maven.plugins</groupId>
|
||||
<artifactId>maven-surefire-plugin</artifactId>
|
||||
<version>2.12.4</version>
|
||||
<configuration>
|
||||
<!-- 包含哪些测试用例 -->
|
||||
<includes>
|
||||
<include>**/*Test.java</include>
|
||||
</includes>
|
||||
<!-- 不包含哪些测试用例 -->
|
||||
<excludes>
|
||||
</excludes>
|
||||
<testFailureIgnore>true</testFailureIgnore>
|
||||
</configuration>
|
||||
</plugin>
|
||||
|
||||
</plugins>
|
||||
</build>
|
||||
|
||||
</project>
|
||||
@ -1,34 +0,0 @@
|
||||
<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/tdenginereader</outputDirectory>
|
||||
</fileSet>
|
||||
<fileSet>
|
||||
<directory>target/</directory>
|
||||
<includes>
|
||||
<include>tdenginereader-0.0.1-SNAPSHOT.jar</include>
|
||||
</includes>
|
||||
<outputDirectory>plugin/reader/tdenginereader</outputDirectory>
|
||||
</fileSet>
|
||||
</fileSets>
|
||||
|
||||
<dependencySets>
|
||||
<dependencySet>
|
||||
<useProjectArtifact>false</useProjectArtifact>
|
||||
<outputDirectory>plugin/reader/tdenginereader/libs</outputDirectory>
|
||||
<scope>runtime</scope>
|
||||
</dependencySet>
|
||||
</dependencySets>
|
||||
</assembly>
|
||||
@ -1,47 +0,0 @@
|
||||
package com.alibaba.datax.plugin.reader;
|
||||
|
||||
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 TDengineReader extends Reader {
|
||||
|
||||
public static class Job extends Reader.Job {
|
||||
|
||||
@Override
|
||||
public void init() {
|
||||
|
||||
}
|
||||
|
||||
@Override
|
||||
public void destroy() {
|
||||
|
||||
}
|
||||
|
||||
@Override
|
||||
public List<Configuration> split(int adviceNumber) {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
public static class Task extends Reader.Task {
|
||||
|
||||
@Override
|
||||
public void init() {
|
||||
|
||||
}
|
||||
|
||||
@Override
|
||||
public void destroy() {
|
||||
|
||||
}
|
||||
|
||||
@Override
|
||||
public void startRead(RecordSender recordSender) {
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
@ -1,9 +0,0 @@
|
||||
{
|
||||
"name": "tdenginereader",
|
||||
"class": "com.alibaba.datax.plugin.reader.TDengineReader",
|
||||
"description": {
|
||||
"useScene": "data migration from tdengine",
|
||||
"mechanism": "use JNI to read data from tdengine."
|
||||
},
|
||||
"developer": "zyyang-taosdata"
|
||||
}
|
||||
@ -1,14 +0,0 @@
|
||||
{
|
||||
"name": "tdenginereader",
|
||||
"parameter": {
|
||||
"host": "127.0.0.1",
|
||||
"port": 6030,
|
||||
"db": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata",
|
||||
"sql": "select * from weather",
|
||||
"beginDateTime": "2021-01-01 00:00:00",
|
||||
"endDateTime": "2021-01-02 00:00:00",
|
||||
"splitInterval": "1h"
|
||||
}
|
||||
}
|
||||
@ -41,7 +41,7 @@ TDengineWriter 通过 DataX 框架获取 Reader生成的协议数据，根据rea
|
||||
"parameter": {
|
||||
"host": "192.168.1.180",
|
||||
"port": 6030,
|
||||
"dbname": "test",
|
||||
"dbName": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata"
|
||||
}
|
||||
@ -65,7 +65,7 @@ TDengineWriter 通过 DataX 框架获取 Reader生成的协议数据，根据rea
|
||||
| port | TDengine实例的port | 是 | 无 |
|
||||
| user | TDengine实例的用户名 | 否 | root |
|
||||
| password | TDengine实例的密码 | 否 | taosdata |
|
||||
| dbname | 目的数据库的名称 | 是 | 无 |
|
||||
| dbName | 目的数据库的名称 | 是 | 无 |
|
||||
| batchSize | 每次批量插入多少记录 | 否 | 1 |
|
||||
|
||||
|
||||
@ -141,7 +141,7 @@ TDengineWriter 通过 DataX 框架获取 Reader生成的协议数据，根据rea
|
||||
"parameter": {
|
||||
"host": "localhost",
|
||||
"port": 6030,
|
||||
"dbname": "test",
|
||||
"dbName": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata",
|
||||
"stable": "stock",
|
||||
@ -176,12 +176,14 @@ TDengineWriter 通过 DataX 框架获取 Reader生成的协议数据，根据rea
|
||||
| port | TDengine实例的port | 是 | 无 |
|
||||
| user | TDengine实例的用户名 | 否 | root |
|
||||
| password | TDengine实例的密码 | 否 | taosdata |
|
||||
| dbname | 目的数据库的名称 | 是 | 无 |
|
||||
| dbName | 目的数据库的名称 | 是 | 无 |
|
||||
| batchSize | 每次批量插入多少记录 | 否 | 1000 |
|
||||
| stable | 目标超级表的名称 | 是(OpenTSDB除外) | 无 |
|
||||
| tagColumn | 标签列的列名和位置 | 否 | 无 | 位置索引均从0开始 |
|
||||
| fieldColumn | 字段列的列名和位置 | 否 | 无 | |
|
||||
| timestampColumn | 时间戳列的列名和位置 | 否 | 无 | 时间戳列只能有一个 |
|
||||
| tagColumn | 格式:{tagName1: tagInd1, tagName2: tagInd2}, 标签列在写插件收到的Record中的位置和列名 | 否 | 无 | 位置索引均从0开始, tagInd如果为字符串, 表示固定标签值，不需要从源数据中获取 |
|
||||
| fieldColumn | 格式:{fdName1: fdInd1, fdName2: fdInd2}, 字段列在写插件收到的Record中的位置和列名 | 否 | 无 | |
|
||||
| timestampColumn | 格式:{tsColName: tsColIndex}, 时间戳列在写插件收到的Record中的位置和列名 | 否 | 无 | 时间戳列只能有一个 |
|
||||
|
||||
示例配置中tagColumn有一个industry，它的值是一个固定的字符串“energy”, 作用是给导入的所有数据加一个值为"energy"的固定标签industry。这个应用场景可以是：在源库中，有多个设备采集的数据分表存储，设备名就是表名，可以用这个机制把设备名称转化为标签。
|
||||
|
||||
#### 3.2.3 自动建表规则
|
||||
##### 3.2.3.1 超级表创建规则
|
||||
@ -237,7 +239,7 @@ TAGS(
|
||||
| string, array | String | NCHAR(64) |
|
||||
| date | Date | TIMESTAMP |
|
||||
| boolean | Boolean | BOOL |
|
||||
| bytes | Bytes | BINARY |
|
||||
| bytes | Bytes | BINARY(64) |
|
||||
|
||||
### 3.3 从关系型数据库到TDengine
|
||||
writer部分的配置规则和上述MongoDB的示例是一样的，这里给出一个MySQL的示例。
|
||||
@ -287,7 +289,7 @@ CREATE TABLE IF NOT EXISTS weather(
|
||||
"parameter": {
|
||||
"host": "127.0.0.1",
|
||||
"port": 6030,
|
||||
"dbname": "test",
|
||||
"dbName": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata",
|
||||
"batchSize": 1000,
|
||||
@ -397,3 +399,7 @@ TDengine要求每个表第一列是时间戳列，后边是普通字段，最后
|
||||
### 为什么插入10年前的数据会抛异常`TDengine ERROR (2350): failed to execute batch bind` ?
|
||||
|
||||
因为创建数据库的时候，默认保留10年的数据。可以手动指定要保留多长时间的数据，比如:`CREATE DATABASE power KEEP 36500;`。
|
||||
|
||||
### 如果编译的时候某些插件的依赖找不到怎么办？
|
||||
|
||||
如果这个插件不是必须的，可以注释掉根目录下的pom.xml中的对应插件。
|
||||
@ -38,7 +38,7 @@ TDengineWriter get records from DataX Framework that are generated from reader s
|
||||
"parameter": {
|
||||
"host": "192.168.1.180",
|
||||
"port": 6030,
|
||||
"dbname": "test",
|
||||
"dbName": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata"
|
||||
}
|
||||
@ -62,7 +62,7 @@ TDengineWriter get records from DataX Framework that are generated from reader s
|
||||
| port | port of TDengine | Yes | |
|
||||
| user | use name of TDengine | No | root |
|
||||
| password | password of TDengine | No | taosdata |
|
||||
| dbname | name of target database | No | |
|
||||
| dbName | name of target database | No | |
|
||||
| batchSize | batch size of insert operation | No | 1 |
|
||||
|
||||
|
||||
@ -136,7 +136,7 @@ TDengineWriter get records from DataX Framework that are generated from reader s
|
||||
"parameter": {
|
||||
"host": "localhost",
|
||||
"port": 6030,
|
||||
"dbname": "test",
|
||||
"dbName": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata",
|
||||
"stable": "stock",
|
||||
@ -172,13 +172,15 @@ TDengineWriter get records from DataX Framework that are generated from reader s
|
||||
| port | port of TDengine | Yes | |
|
||||
| user | user name of TDengine | No | root |
|
||||
| password | password of TDengine | No | taosdata |
|
||||
| dbname | name of target database | Yes | |
|
||||
| dbName | name of target database | Yes | |
|
||||
| batchSize | batch size of insert operation | No | 1000 |
|
||||
| stable | name of target super table | Yes(except for OpenTSDB) | |
|
||||
| tagColumn | name and position of tag columns in the record from reader | No | | index starts with 0 |
|
||||
| fieldColumn | name and position of data columns in the record from reader | No | | |
|
||||
| tagColumn | name and position of tag columns in the record from reader, format:{tagName1: tagInd1, tagName2: tagInd2} | No | | index starts with 0 |
|
||||
| fieldColumn | name and position of data columns in the record from reader, format: {fdName1: fdInd1, fdName2: fdInd2} | No | | |
|
||||
| timestampColumn | name and position of timestamp column in the record from reader | No | | |
|
||||
|
||||
**Note**: You see that the value of tagColumn "industry" is a fixed string, this ia a good feature of this plugin. Think about this scenario: you have many tables with the structure and one table corresponds to one device. You want to use the device number as a tag in the target super table, then this feature is designed for you.
|
||||
|
||||
#### 3.2.3 Auto table creating
|
||||
##### 3.2.3.1 Rules
|
||||
|
||||
@ -233,7 +235,7 @@ Then the first columns received by this writer plugin must represent timestamp,
|
||||
| string, array | String | NCHAR(64) |
|
||||
| date | Date | TIMESTAMP |
|
||||
| boolean | Boolean | BOOL |
|
||||
| bytes | Bytes | BINARY |
|
||||
| bytes | Bytes | BINARY(64) |
|
||||
|
||||
### 3.3 From Relational Database to TDengine
|
||||
|
||||
@ -284,7 +286,7 @@ CREATE TABLE IF NOT EXISTS weather(
|
||||
"parameter": {
|
||||
"host": "127.0.0.1",
|
||||
"port": 6030,
|
||||
"dbname": "test",
|
||||
"dbName": "test",
|
||||
"user": "root",
|
||||
"password": "taosdata",
|
||||
"batchSize": 1000,
|
||||
@ -347,3 +349,8 @@ By the first batch of records it received.
|
||||
### Why can't I insert data of 10 years ago? Do this will get error: `TDengine ERROR (2350): failed to execute batch bind`.
|
||||
|
||||
Because the database you created only keep 10 years data by default, you can create table like this: `CREATE DATABASE power KEEP 36500;`, in order to enlarge the time period to 100 years.
|
||||
|
||||
|
||||
### What should I do if some dependencies of a plugin can't be found?
|
||||
|
||||
I this plugin is not necessary for you, just remove it from pom.xml under project's root directory.
|
||||
|
||||
0
tdenginewriter/src/main/assembly/package.xml
Executable file → Normal file
0
tdenginewriter/src/main/assembly/package.xml
Executable file → Normal file
@ -3,7 +3,7 @@ package com.alibaba.datax.plugin.writer.tdenginewriter;
|
||||
public class Key {
|
||||
public static final String HOST = "host";
|
||||
public static final String PORT = "port";
|
||||
public static final String DBNAME = "dbname";
|
||||
public static final String DBNAME = "dbName";
|
||||
public static final String USER = "user";
|
||||
public static final String PASSWORD = "password";
|
||||
public static final String BATCH_SIZE = "batchSize";
|
||||
|
||||
0
tdenginewriter/src/main/resources/plugin.json
Executable file → Normal file
0
tdenginewriter/src/main/resources/plugin.json
Executable file → Normal file
Loading…
Reference in New Issue
Block a user