datax安装部署使用 windows

Datax在win10中的安装_windows安装datax_JMzz的博客-CSDN博客

DataX/userGuid.md at master · alibaba/DataX · GitHub

环境准备：

1.JDK(1.8以上，推荐1.8)

2.①Python(推荐Python2.7.X)

②Python(Python3.X.X的可以下载下面的安装包替换)

python3.0需要替换安装目录bin下的3个文件

替换文件下载：链接: 百度网盘 请输入提取码 提取码: re42

3.Apache Maven 3.x (Compile DataX) 非编译安装不需要

Python环境安装这里就不作说明，请自行下载安装。

1、下载解压

备注：我用的Python3.0.X 没有替换python相关文件

安装目录

E:\DATAX\datax

所有脚本请到 E:\DATAX\datax\bin 下执行

cmd

e:

cd E:\DATAX\datax\bin

2、自检脚本

python datax.py ../job/job.json

3、练手配置示例：从stream读取数据并打印到控制台

第一步、创建作业的配置文件（json格式）

可以通过命令查看配置模板： python datax.py -r {YOUR_READER} -w {YOUR_WRITER}

例如：

python datax.py -r streamreader -w streamwriter

返回如下

DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.


Please refer to the streamreader document:
     https://github.com/alibaba/DataX/blob/master/streamreader/doc/streamreader.md

Please refer to the streamwriter document:
     https://github.com/alibaba/DataX/blob/master/streamwriter/doc/streamwriter.md

Please save the following configuration as a json file and  use
     python {DATAX_HOME}/bin/datax.py {JSON_FILE_NAME}.json
to run the job.

{
    "job": {
        "content": [
            {
                "reader": {
                    "name": "streamreader",
                    "parameter": {
                        "column": [],
                        "sliceRecordCount": ""
                    }
                },
                "writer": {
                    "name": "streamwriter",
                    "parameter": {
                        "encoding": "",
                        "print": true
                    }
                }
            }
        ],
        "setting": {
            "speed": {
                "channel": ""
            }
        }
    }
}

根据模板配置json如下：

stream2stream.json

{
  "job": {
    "content": [
      {
        "reader": {
          "name": "streamreader",
          "parameter": {
            "sliceRecordCount": 10,
            "column": [
              {
                "type": "long",
                "value": "10"
              },
              {
                "type": "string",
                "value": "hello，你好，世界-DataX"
              }
            ]
          }
        },
        "writer": {
          "name": "streamwriter",
          "parameter": {
            "encoding": "UTF-8",
            "print": true
          }
        }
      }
    ],
    "setting": {
      "speed": {
        "channel": 5
       }
    }
  }
}

第二步：启动DataX

$ cd {YOUR_DATAX_DIR_BIN}

$ python datax.py ./stream2stream.json

python datax.py ../job/stream2stream.json

同步结束，显示日志如下：

DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.


2023-03-16 13:52:50.773 [main] INFO  MessageSource - JVM TimeZone: GMT+08:00, Locale: zh_CN
2023-03-16 13:52:50.776 [main] INFO  MessageSource - use Locale: zh_CN timeZone: sun.util.calendar.ZoneInfo[id="GMT+08:00",offset=28800000,dstSavings=0,useDaylight=false,transitions=0,lastRule=null]
2023-03-16 13:52:50.786 [main] INFO  VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2023-03-16 13:52:50.791 [main] INFO  Engine - the machine info  =>

        osInfo: Oracle Corporation 1.8 25.172-b11
        jvmInfo:        Windows 10 amd64 10.0
        cpu num:        8

        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                  | 256.00MB                       | 256.00MB
        Code Cache                     | 240.00MB                       | 2.44MB
        Compressed Class Space         | 1,024.00MB                     | 0.00MB
        PS Survivor Space              | 42.50MB                        | 42.50MB
        PS Old Gen                     | 683.00MB                       | 683.00MB
        Metaspace                      | -0.00MB                        | 0.00MB


2023-03-16 13:52:50.815 [main] INFO  Engine -
{
        "content":[
                {
                        "reader":{
                                "name":"streamreader",
                                "parameter":{
                                        "column":[
                                                {
                                                        "type":"long",
                                                        "value":"10"
                                                },
                                                {
                                                        "type":"string",
                                                        "value":"hello，你好，世界-DataX"
                                                }
                                        ],
                                        "sliceRecordCount":10
                                }
                        },
                        "writer":{
                                "name":"streamwriter",
                                "parameter":{
                                        "encoding":"UTF-8",
                                        "print":true
                                }
                        }
                }
        ],
        "setting":{
                "speed":{
                        "channel":5
                }
        }
}

2023-03-16 13:52:50.833 [main] WARN  Engine - prioriy set to 0, because NumberFormatException, the value is: null
2023-03-16 13:52:50.835 [main] INFO  PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2023-03-16 13:52:50.835 [main] INFO  JobContainer - DataX jobContainer starts job.
2023-03-16 13:52:50.837 [main] INFO  JobContainer - Set jobId = 0
2023-03-16 13:52:50.855 [job-0] INFO  JobContainer - jobContainer starts to do prepare ...
2023-03-16 13:52:50.856 [job-0] INFO  JobContainer - DataX Reader.Job [streamreader] do prepare work .
2023-03-16 13:52:50.857 [job-0] INFO  JobContainer - DataX Writer.Job [streamwriter] do prepare work .
2023-03-16 13:52:50.857 [job-0] INFO  JobContainer - jobContainer starts to do split ...
2023-03-16 13:52:50.858 [job-0] INFO  JobContainer - Job set Channel-Number to 5 channels.
2023-03-16 13:52:50.859 [job-0] INFO  JobContainer - DataX Reader.Job [streamreader] splits to [5] tasks.
2023-03-16 13:52:50.859 [job-0] INFO  JobContainer - DataX Writer.Job [streamwriter] splits to [5] tasks.
2023-03-16 13:52:50.880 [job-0] INFO  JobContainer - jobContainer starts to do schedule ...
2023-03-16 13:52:50.889 [job-0] INFO  JobContainer - Scheduler starts [1] taskGroups.
2023-03-16 13:52:50.892 [job-0] INFO  JobContainer - Running by standalone Mode.
2023-03-16 13:52:50.900 [taskGroup-0] INFO  TaskGroupContainer - taskGroupId=[0] start [5] channels for [5] tasks.
2023-03-16 13:52:50.905 [taskGroup-0] INFO  Channel - Channel set byte_speed_limit to -1, No bps activated.
2023-03-16 13:52:50.906 [taskGroup-0] INFO  Channel - Channel set record_speed_limit to -1, No tps activated.
2023-03-16 13:52:50.916 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[2] attemptCount[1] is started
2023-03-16 13:52:50.919 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started
2023-03-16 13:52:50.923 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[3] attemptCount[1] is started
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
2023-03-16 13:52:50.929 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[1] attemptCount[1] is started
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
2023-03-16 13:52:50.933 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[4] attemptCount[1] is started
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
10      hello，你好，世界-DataX
2023-03-16 13:52:51.049 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[0] is successed, used[130]ms
2023-03-16 13:52:51.049 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[1] is successed, used[120]ms
2023-03-16 13:52:51.050 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[2] is successed, used[135]ms
2023-03-16 13:52:51.052 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[3] is successed, used[129]ms
2023-03-16 13:52:51.052 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] taskId[4] is successed, used[119]ms
2023-03-16 13:52:51.053 [taskGroup-0] INFO  TaskGroupContainer - taskGroup[0] completed it's tasks.
2023-03-16 13:53:00.918 [job-0] INFO  StandAloneJobContainerCommunicator - Total 50 records, 950 bytes | Speed 95B/s, 5 records/s | Error 0 records, 0 bytes |  All Task WaitWriterTime 0.000s |  All Task WaitReaderTime 0.008s | Percentage 100.00%
2023-03-16 13:53:00.919 [job-0] INFO  AbstractScheduler - Scheduler accomplished all tasks.
2023-03-16 13:53:00.923 [job-0] INFO  JobContainer - DataX Writer.Job [streamwriter] do post work.
2023-03-16 13:53:00.923 [job-0] INFO  JobContainer - DataX Reader.Job [streamreader] do post work.
2023-03-16 13:53:00.923 [job-0] INFO  JobContainer - DataX jobId [0] completed successfully.
2023-03-16 13:53:00.924 [job-0] INFO  HookInvoker - No hook invoked, because base dir not exists or is a file: E:\DATAX\datax\hook
2023-03-16 13:53:00.925 [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          | 0                  | 0                  | 0                  | 0.000s             | 0.000s             | 0.000s

2023-03-16 13:53:00.925 [job-0] INFO  JobContainer - PerfTrace not enable!
2023-03-16 13:53:00.926 [job-0] INFO  StandAloneJobContainerCommunicator - Total 50 records, 950 bytes | Speed 95B/s, 5 records/s | Error 0 records, 0 bytes |  All Task WaitWriterTime 0.000s |  All Task WaitReaderTime 0.008s | Percentage 100.00%
2023-03-16 13:53:00.927 [job-0] INFO  JobContainer -
任务启动时刻                    : 2023-03-16 13:52:50
任务结束时刻                    : 2023-03-16 13:53:00
任务总计耗时                    :                 10s
任务平均流量                    :               95B/s
记录写入速度                    :              5rec/s
读出记录总数                    :                  50
读写失败总数                    :                   0

4、实际配置

这里只测试了mysql的相关配置，其他的需要继续研究

脚本格式信息可以去https://github.com/alibaba/DataX/查看

因为和clickhouse一起学习，这里可以看到支持对 CLickHouse的写

1、mysqlreader

DataX/mysqlreader/doc/mysqlreader.md at master · alibaba/DataX · GitHub

table column方式和querysql方式是冲突的。只能用一种

干货：

jdbcUrl 可以配置多个，依次检查合法性

table 可以配置多个，需保证多张表是同一schema结构？，table必须包含在connection配置单元中

1、配置一个从Mysql数据库同步抽取数据到本地的作业:

通过table column方式

mysql2stream1.json

{
    "job": {
        "setting": {
            "speed": {
                 "channel": 3
            },
            "errorLimit": {
                "record": 0,
                "percentage": 0.02
            }
        },
        "content": [
            {
                "reader": {
                    "name": "mysqlreader",
                    "parameter": {
                        "username": "root",
                        "password": "sa",
                        "column": [
                            "ryxm",
                            "rysfz"
                        ],
                        "splitPk": "id",
                        "connection": [
                            {
																"table": [
                                    "sys_czry"
                                ],
                                "jdbcUrl": [
     "jdbc:mysql://172.16.0.101:3306/qyjx_v3.1?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=false&serverTimezone=GMT%2B8&&nullCatalogMeansCurrent=true&allowMultiQueries=true&rewriteBatchedStatements=true"
                                ]
                            }
                        ]
                    }
                },
               "writer": {
                    "name": "streamwriter",
                    "parameter": {
                        "print":true
                    }
                }
            }
        ]
    }
}

python datax.py ../job/mysql2stream1.json

2、配置一个自定义SQL的数据库同步任务到本地内容的作业：

通过querysql方式

mysql2stream2.json

{
    "job": {
        "setting": {
            "speed": {
                 "channel": 1
            }
        },
        "content": [
            {
                "reader": {
                    "name": "mysqlreader",
                    "parameter": {
                        "username": "root",
                        "password": "sa",
                        "connection": [
                            {
                                "querySql": [
                                    "SELECT ryxm,rysfz,rygh from  sys_czry;"
                                ],
                                "jdbcUrl": [
     "jdbc:mysql://172.16.0.101:3306/qyjx_v3.1?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=false&serverTimezone=GMT%2B8&&nullCatalogMeansCurrent=true&allowMultiQueries=true&rewriteBatchedStatements=true"
                                ]
                            }
                        ]
                    }
                },
               "writer": {
                    "name": "streamwriter",
                    "parameter": {
                        "print": true,
                        "encoding": "UTF-8"
                    }
                }
            }
        ]
    }
}

python datax.py ../job/mysql2stream2.json

2、mysqlwrier

DataX/mysqlwriter/doc/mysqlwriter.md at master · alibaba/DataX · GitHub

1、这里使用一份从内存产生到 Mysql 导入的数据

{
    "job": {
        "setting": {
            "speed": {
                "channel": 1
            }
        },
        "content": [
            {
                 "reader": {
                    "name": "streamreader",
                    "parameter": {
                        "column" : [
                            {
                                "value": "DataX",
                                "type": "string"
                            }
                        ],
                        "sliceRecordCount": 1000
                    }
                },
                "writer": {
                    "name": "mysqlwriter",
                    "parameter": {
                        "writeMode": "insert",
                        "username": "root",
                        "password": "root",
                        "column": [
                            "name"
                        ],
                        "session": [
                        	"set session sql_mode='ANSI'"
                        ],
                        "preSql": [
                            "delete from test"
                        ],
                        "connection": [
                            {
                                "jdbcUrl": "jdbc:mysql://127.0.0.1:3306/datax?useUnicode=true&characterEncoding=gbk",
                                "table": [
                                    "test"
                                ]
                            }
                        ]
                    }
                }
            }
        ]
    }
}

python datax.py ../job/stream2mysql1.json

结果：

2、这里使用一份从mysql(服务器1)产生到 Mysql(本地) 导入的数据

模拟跨服务器、数据库环境

{
    "job": {
        "setting": {
            "speed": {
                 "channel": 1
            }
        },
        "content": [
            {
                "reader": {
                    "name": "mysqlreader",
                    "parameter": {
                        "username": "root",
                        "password": "sa",
                        "connection": [
                            {
                                "querySql": [
                                    "SELECT ryxm,rysfz from  sys_czry;"
                                ],
                                "jdbcUrl": [
     "jdbc:mysql://172.16.0.101:3306/qyjx_v3.1?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=false&serverTimezone=GMT%2B8&&nullCatalogMeansCurrent=true&allowMultiQueries=true&rewriteBatchedStatements=true"
                                ]
                            }
                        ]
                    }
                },
               "writer": {
                    "name": "mysqlwriter",
                    "parameter": {
                        "writeMode": "insert",
                        "username": "root",
                        "password": "root",
                        "column": [
                            "name","rysfz"
                        ],
                        "session": [
                        	"set session sql_mode='ANSI'"
                        ],
                        "preSql": [
                            "delete from test"
                        ],
                        "connection": [
                            {
                                "jdbcUrl": "jdbc:mysql://127.0.0.1:3306/datax?useUnicode=true&characterEncoding=gbk",
                                "table": [
                                    "test"
                                ]
                            }
                        ]
                    }
                }
            }
        ]
    }
}

python datax.py ../job/mysql2mysql.json

结果：

异常：

1、如果出现乱码的话

先输入CHCP 65001