Skip to content
/ DataX Public
forked from wgzhao/Addax

DataX is an open source universal ETL tool that support Cassandra, ClickHouse, DBF, Hive, InfluxDB, Kudu, MySQL, Oracle, Presto(Trino), PostgreSQL, SQL Server

License

Apache-2.0 license
5 stars 304 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

goverdata/DataX

BranchesTags
 
 

Repository files navigation

DataX Logo

DataX is an open source univeral ETL tool

Documentation Detailed description of how to install and deploy and how to use each collection plugin

Maven Package Documentation Status

English | 简体中文

current stable version

3.2.3

Note: As of 3.2.1, the package class names have been changed and are therefore no longer compatible with 3.1.x versions.

The project, originally from Ali's DataX, has been streamlined and adapted, as described below

Description of functional differences

Removed

Deleted databases that were restricted to Ali internal databases that were not available in non-Ali groups and were therefore deleted outright, including:

  • ADS
  • DRDS
  • OCS
  • ODPS
  • OSS
  • OTS

Added

Added some plug-ins, which currently include

reader plugin

  1. clickhousereader
  2. dbffilereader
  3. hbase20xreader
  4. jsonfilereader
  5. kudureader
  6. influxdbreader
  7. httpreader
  8. elastichsearchreader
  9. tdenginereader

writer plugin

  1. dbffilewrite
  2. greenplumwriter
  3. kuduwriter
  4. influxdbwriter
  5. tdenginewriter

Some plug-in enhancements are listed below

rdbms-ralative plugins

add support for almost basic data type, and some complex data type.

hdfswriter

  1. Add support for Decimal data type.
  2. Add support for writing Parquet files.
  3. Add support for writing with the overwrite mode.
  4. Add support for more compression algorithm.
  5. The temporary directory location is changed to a hidden directory under the current write directory, which solves the problem of automatic partition increase caused by the previous parallelism with the write directory.
  6. In overwrite mode, the file deletion mechanism has been improved to reduce the time window when the corresponding table query is empty

hdfsreader

  1. Add support for reading Parquet files.
  2. Add support for more compression algorithm.

hbasex11sqlwrite

  1. Add support for Kerberos authentication.

oraclewriter

  1. Add support for merge into statement.

postgresqlwriter

  1. Add support for insert into ... on conflict statement.

rdbmsreader/rdbmswriter

  1. Add support TDH Inceptor, Trino query engine

Supported databases

database/filesystem reader writer plugin(reader/writer) memo
Cassander YES YES cassandrareader/cassandrawriter
ClickHouse YES YES clickhousereader/clickhousewriter
DB2 YES YES rbdmsreader/rdbmswriter not fully tested
DBF YES YES dbffilereader/dbffilewriter
ElasticSearch YES YES elasticsearchreader/elasticsearchwriter originally from @Kestrong
FTP YES YES ftpreader/ftpwriter
HBase 1.x YES YES hbase11xreader/hbase11xwriter use HBASE API
HBase 1.x YES YES hbase11xsqlreader/hbase11xsqlwriter use PhoenixPhoenix
HBase 2.x YES NO hbase20xreader use HBase API
HBase 2.x YES YES hbase20xsqlreader/hbase20xsqlwriter 通过Phoenix操作HBase
HDFS YES YES hdfsreader/hdfswriter support HDFS 2.0 or later
HTTP YES NO httpreader support RestFul API
Greenplum YES YES postgresqlreader/greenplumwriter
InfluxDB YES YES influxdbreader/influxdbwriter ONLY support InfluxDB 1.x
json YES NO jsonfilereader
kudu YES YES kudureader/kuduwriter
MongoDB YES YES mongodbreader/mongodbwriter
MySQL/MariaDB YES YES mysqlreader/mysqlwriter
Oracle YES YES oraclereader/oraclewriter
PostgreSQL YES YES postgresqlreader/postgresqlwriter
Trino YES YES rdbmsreader/rdbmswriter trino( formerly PrestoSQL)
Redis YES YES redisreader/rediswriter
SQL Server YES YES sqlserverreader/sqlserverwriter
TDengine YES YES tdenginereader/tdenginewriter TDengine
TDH Inceptor2 YES YES rdbmsreader/rdbmswriter Transwarp TDH 5.1 or later
TEXT YES YES textfilereader/textfilewriter

quick started

Do not want to compile?

If you are too lazy to compile or cannot compile because of your environment, you can download the corresponding version from the following link

version download md5
3.2.4 https://pan.baidu.com/s/1VaOlAOTqGX4WwRtI5ewPeg code: i127 2d16125385b88405481e12bf4a8fd715
3.2.3 https://pan.baidu.com/s/1ajjnSittf6u7rjXhJ7_3Aw code: qxry ad47b0d840bf21de1668b9310a9782cf
3.2.2 https://pan.baidu.com/s/1TQyaERnIk9EQRDULfQE69w code: jh31 b04d2563adb36457b85e48c318757ea3
3.2.1 https://pan.baidu.com/s/1as6sL09HlxAN8b2pZ1DttQ code: hwgx ecda4a961b032c75718502caf54246a8
3.1.9 https://pan.baidu.com/s/1GYpehEvB-W3qnqilhskXFw code: q4wv 48c4104294cd9bb0c749efc50b32b4dd
3.1.8 https://pan.baidu.com/s/1jv-tb-11grYaUnsgnEhDzw code: 2dnf ef110ae1ea31e1761dc25d6930300485
3.1.7 https://pan.baidu.com/s/1CE5I8V5TNptdOp6GLid3Jg code: v5u3 fecca6c4a32f2bf7246fdef8bc2912fe
3.1.6 https://pan.baidu.com/s/1Ldg10E3qWkbUT44rkH19og code: 4av4 f6aea7e0ce4b9ec83554e9c6d6ab3cb6
3.1.5 https://pan.baidu.com/s/1yY_lJqulE6hKqktoQbbGmQ code: 2r4p 9ae27c1c434a097f67a17bb704f70731
3.1.4 https://pan.baidu.com/s/1_plsvzD_GrWN-HffPBtz-g code: kpjn 7aca526fe7f6f0f54dc467f6ca1647b1
3.1.2 https://pan.baidu.com/s/1zFqv8E6iJX549zdSZDQgiQ code: 7jdk 3674711fc9b68fad3086f3c8526a3427
3.1.1 https://pan.baidu.com/s/1GwmFA7-hPkd6GKiZEvUKXg code: 1inn 0fa4e7902420704b2e814fef098f40ae

Note: Starting from version 3.2.3, in order to reduce the installation package size, the compiled package only includes streamreader and streamwriter plug-ins, other plug-ins need to be downloaded separately, the download shared directory list is as follows.

plugins download

version download link
3.2.4 https://pan.baidu.com/s/1gPJlJh66bGQUSUR-2mNOQw code: 7c4j
3.2.3 https://pan.baidu.com/s/1g4z3Pqc_BxKstkiYjWXopQ code: 2fip

compile and package

git clone https://github.com/wgzhao/datax.git DataX
cd DataX
mvn clean package
mvn package assembly:single

If you want compile doc, you can execute the following instructions.

cd docs
mvn clean package

After successful compilation and packaging, a datax-<version> folder will be created in the target/datax directory of the project directory, where <version indicates the version.

begin your first job

The job subdirectory contains many sample jobs, of which job.json can be used as a smoke-out test and executed as follows

cd target/datax/datax-<version>
python bin/datax.py job/job.json

The output of the above command is roughly as follows.

Click to expand 
 bin/datax.py job/job.json

DataX (DATAX-V3), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.


2020-09-23 19:51:30.990 [main] INFO  VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2020-09-23 19:51:30.997 [main] INFO  Engine - the machine info  =>

	osInfo:	Oracle Corporation 1.8 25.181-b13
	jvmInfo:	Mac OS X x86_64 10.15.6
	cpu num:	4

	totalPhysicalMemory:	-0.00G
	freePhysicalMemory:	-0.00G
	maxFileDescriptorCount:	-1
	currentOpenFileDescriptorCount:	-1

	GC Names	[PS MarkSweep, PS Scavenge]

	MEMORY_NAME                    | allocation_size                | init_size
	PS Eden Space                  | 677.50MB                       | 16.00MB
	Code Cache                     | 240.00MB                       | 2.44MB
	Compressed Class Space         | 1,024.00MB                     | 0.00MB
	PS Survivor Space              | 2.50MB                         | 2.50MB
	PS Old Gen                     | 1,365.50MB                     | 43.00MB
	Metaspace                      | -0.00MB                        | 0.00MB


2020-09-23 19:51:31.009 [main] INFO  Engine -
{
	"content":[
		{
			"reader":{
				"parameter":{
					"column":[
						{
							"type":"string",
							"value":"DataX"
						},
						{
							"type":"long",
							"value":19890604
						},
						{
							"type":"date",
							"value":"1989-06-04 00:00:00"
						},
						{
							"type":"bool",
							"value":true
						},
						{
							"type":"bytes",
							"value":"test"
						}
					],
					"sliceRecordCount":10
				},
				"name":"streamreader"
			},
			"writer":{
				"parameter":{
					"print":true,
					"column":[
						"col1"
					],
					"encoding":"UTF-8"
				},
				"name":"streamwriter"
			}
		}
	],
	"setting":{
		"errorLimit":{
			"record":0,
			"percentage":0.02
		},
		"speed":{
			"byte":-1,
			"channel":1
		}
	}
}

2020-09-23 19:51:31.068 [main] WARN  Engine - prioriy set to 0, because NumberFormatException, the value is: null
2020-09-23 19:51:31.069 [main] INFO  PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2020-09-23 19:51:31.069 [main] INFO  JobContainer - DataX jobContainer starts job.
2020-09-23 19:51:31.070 [main] INFO  JobContainer - Set jobId = 0
2020-09-23 19:51:31.082 [job-0] INFO  JobContainer - jobContainer starts to do prepare ...
2020-09-23 19:51:31.082 [job-0] INFO  JobContainer - DataX Reader.Job [streamreader] do prepare work .
2020-09-23 19:51:31.083 [job-0] INFO  JobContainer - DataX Writer.Job [streamwriter] do prepare work .
2020-09-23 19:51:31.083 [job-0] INFO  JobContainer - jobContainer starts to do split ...
2020-09-23 19:51:31.083 [job-0] INFO  JobContainer - Job set Channel-Number to 1 channels.
2020-09-23 19:51:31.083 [job-0] INFO  JobContainer - DataX Reader.Job [streamreader] splits to [1] tasks.
2020-09-23 19:51:31.084 [job-0] INFO  JobContainer - DataX Writer.Job [streamwriter] splits to [1] tasks.
2020-09-23 19:51:31.102 [job-0] INFO  JobContainer - jobContainer starts to do schedule ...
2020-09-23 19:51:31.111 [job-0] INFO  JobContainer - Scheduler starts [1] taskGroups.
2020-09-23 19:51:31.117 [taskGroup-0] INFO  TaskGroupContainer - taskGroupId=[0] start [1] channels for [1] tasks.
2020-09-23 19:51:31.119 [taskGroup-0] INFO  Channel - Channel set byte_speed_limit to -1, No bps activated.
2020-09-23 19:51:31.120 [taskGroup-0] INFO  Channel - Channel set record_speed_limit to -1, No tps activated.
2020-09-23 19:51:31.129 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started
DataX	19890604	1989-06-04 00:00:00	true	test
DataX	19890604	1989-06-04 00:00:00	true	test
DataX	19890604	1989-06-04 00:00:00	true	test
DataX	19890604	1989-06-04 00:00:00	true	test
DataX	19890604	1989-06-04 00:00:00	true	test
DataX	19890604	1989-06-04 00:00:00	true	test
DataX	19890604	1989-06-04 00:00:00	true	test
DataX	19890604	1989-06-04 00:00:00	true	test
DataX	19890604	1989-06-04 00:00:00	true	test
DataX	19890604	1989-06-04 00:00:00	true	test
2020-09-23 19:51:31.231 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[0] is successful, used[103]ms
2020-09-23 19:51:31.232 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] completed it's tasks.
2020-09-23 19:51:41.129 [job-0] INFO  StandAloneJobContainerCommunicator - Total 10 records, 260 bytes | Speed 26B/s, 1 records/s | Error 0 records, 0 bytes |  All Task WaitWriterTime 0.000s |  All Task WaitReaderTime 0.000s | Percentage 100.00%
2020-09-23 19:51:41.130 [job-0] INFO  AbstractScheduler - Scheduler accomplished all tasks.
2020-09-23 19:51:41.130 [job-0] INFO  JobContainer - DataX Writer.Job [streamwriter] do post work.
2020-09-23 19:51:41.130 [job-0] INFO  JobContainer - DataX Reader.Job [streamreader] do post work.
2020-09-23 19:51:41.130 [job-0] INFO  JobContainer - DataX jobId [0] completed successfully.
2020-09-23 19:51:41.130 [job-0] INFO  JobContainer - invokeHooks begin
2020-09-23 19:51:41.130 [job-0] INFO  JobContainer - report url not found
2020-09-23 19:51:41.133 [job-0] INFO  JobContainer -
	 [total cpu info] =>
		averageCpu                     | maxDeltaCpu                    | minDeltaCpu
		-1.00%                         | -1.00%                         | -1.00%


	 [total gc info] =>
		 NAME                 | totalGCCount       | maxDeltaGCCount    | minDeltaGCCount    | totalGCTime        | maxDeltaGCTime     | minDeltaGCTime
		 PS MarkSweep         | 0                  | 0                  | 0                  | 0.000s             | 0.000s             | 0.000s
		 PS Scavenge          | 2                  | 2                  | 2                  | 0.006s             | 0.006s             | 0.006s

2020-09-23 19:51:41.133 [job-0] INFO  JobContainer - PerfTrace not enable!
2020-09-23 19:51:41.133 [job-0] INFO  StandAloneJobContainerCommunicator - Total 10 records, 260 bytes | Speed 26B/s, 1 records/s | Error 0 records, 0 bytes |  All Task WaitWriterTime 0.000s |  All Task WaitReaderTime 0.000s | Percentage 100.00%
2020-09-23 19:51:41.134 [job-0] INFO  JobContainer - Total 10 records, 260 bytes | Speed 26B/s, 1 records/s | Error 0 records, 0 bytes |  All Task WaitWriterTime 0.000s |  All Task WaitReaderTime 0.000s | Percentage 100.00%
2020-09-23 19:51:41.134 [job-0] INFO  JobContainer -
任务启动时刻                    : 2020-09-23 19:51:31
任务结束时刻                    : 2020-09-23 19:51:41
任务总计耗时                    :                 10s
任务平均流量                    :               26B/s
记录写入速度                    :              1rec/s
读出记录总数                    :                  10
读写失败总数                    :                   0

runtime requirements

  • JDK 1.8+
  • Python 2.7+ / Python 3.7+

documentation

License

This software is free to use under the Apache License Apache license.

JetBrains

This project is supported by JetBrains

About

DataX is an open source universal ETL tool that support Cassandra, ClickHouse, DBF, Hive, InfluxDB, Kudu, MySQL, Oracle, Presto(Trino), PostgreSQL, SQL Server

Resources

Readme

License

Apache-2.0 license

Security policy

Security policy
Activity

Stars

5 stars

Watchers

1 watching

Forks

1 fork
Report repository

Releases

19 tags

Packages

No packages published

Languages

  • Java 98.2%
  • Python 1.7%
  • Shell 0.1%