ETL异构数据源Datax_MySQL同步Oracle(全量)

ETL异构数据源Datax_MySQL同步Oracle(全量)_07

文章目录

- - - - 1. 清除Oracle数据库中OTBS1表的数据
        2. 构建json
        3. 执行脚本
        4. 同步验证
        5. 同步分析
        7. 同步结果

1. 清除Oracle数据库中OTBS1表的数据

Truncate TABLE OTBS1;

2. 构建json

{"core": {"transport": {"channel": {"speed": {"byte": 1048576}}}},"job": {"setting": {"speed": {"channel": 5},"errorLimit": {"record": 0,"percentage": 0.02}},"content": [{"reader": {"name": "mysqlreader","parameter": {"column": ["IDNO","COL1","COL2","COL3","DT","COL5","COL6","COL7","COL8","COL9","COL10"],"splitPk": "IDNO","connection": [{"jdbcUrl": ["jdbc:mysql://127.0.0.1:3306/datax"],"table": ["otbs1"]}],"username": "root","password": "123456"}},"writer": {"name": "oraclewriter","parameter": {"column": ["IDNO","COL1","COL2","COL3","DT","COL5","COL6","COL7","COL8","COL9","COL10"],"connection": [{"jdbcUrl": "jdbc:oracle:thin:@192.xxx.xxx.128xxx1521:orcl","table": ["TEST.OTBS1"]}],"username": "username","password": "password"}}}]}
}

3. 执行脚本

python /app/datax/bin/datax.py /app/datax/job/mysql2oracle

4. 同步验证

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5. 同步分析

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2021-06-23 14:01:53.357 [job-0] INFO  JobContainer - jobContainer starts to do prepare ...
2021-06-23 14:01:53.358 [job-0] INFO  JobContainer - DataX Reader.Job [mysqlreader] do prepare work .
2021-06-23 14:01:53.359 [job-0] INFO  JobContainer - DataX Writer.Job [oraclewriter] do prepare work .
2021-06-23 14:01:53.360 [job-0] INFO  JobContainer - jobContainer starts to do split ...
2021-06-23 14:01:53.361 [job-0] INFO  JobContainer - Job set Channel-Number to 5 channels.
2021-06-23 14:01:53.387 [job-0] INFO  SingleTableSplitUtil - split pk [sql=SELECT MIN(IDNO),MAX(IDNO) FROM otbs1] is running... 
2021-06-23 14:01:53.450 [job-0] INFO  SingleTableSplitUtil - After split(), allQuerySql=[
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (1 <= IDNO AND IDNO < 41944) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (41944 <= IDNO AND IDNO < 83887) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (83887 <= IDNO AND IDNO < 125830) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (125830 <= IDNO AND IDNO < 167773) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (167773 <= IDNO AND IDNO < 209716) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (209716 <= IDNO AND IDNO < 251659) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (251659 <= IDNO AND IDNO < 293602) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (293602 <= IDNO AND IDNO < 335545) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (335545 <= IDNO AND IDNO < 377488) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (377488 <= IDNO AND IDNO < 419431) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (419431 <= IDNO AND IDNO < 461374) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (461374 <= IDNO AND IDNO < 503317) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (503317 <= IDNO AND IDNO < 545260) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (545260 <= IDNO AND IDNO < 587203) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (587203 <= IDNO AND IDNO < 629146) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (629146 <= IDNO AND IDNO < 671089) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (671089 <= IDNO AND IDNO < 713032) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (713032 <= IDNO AND IDNO < 754975) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (754975 <= IDNO AND IDNO < 796918) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (796918 <= IDNO AND IDNO < 838861) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (838861 <= IDNO AND IDNO < 880804) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (880804 <= IDNO AND IDNO < 922747) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (922747 <= IDNO AND IDNO < 964690) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (964690 <= IDNO AND IDNO < 1006633) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  (1006633 <= IDNO AND IDNO <= 1048576) 
select IDNO,COL1,COL2,COL3,DT,COL5,COL6,COL7,COL8,COL9,COL10 from otbs1  where  IDNO IS NULL
].
2021-06-23 14:01:53.451 [job-0] INFO  JobContainer - DataX Reader.Job [mysqlreader] splits to [26] tasks.
2021-06-23 14:01:53.464 [job-0] INFO  JobContainer - DataX Writer.Job [oraclewriter] splits to [26] tasks.
2021-06-23 14:01:53.539 [job-0] INFO  JobContainer - jobContainer starts to do schedule ...
2021-06-23 14:01:53.577 [job-0] INFO  JobContainer - Scheduler starts [1] taskGroups.
2021-06-23 14:01:53.581 [job-0] INFO  JobContainer - Running by standalone Mode.
2021-06-23 14:01:53.634 [taskGroup-0] INFO  TaskGroupContainer - taskGroupId=[0] start [5] channels for [26] tasks.
2021-06-23 14:01:53.659 [taskGroup-0] INFO  Channel - Channel set byte_speed_limit to 1048576.
2021-06-23 14:01:53.659 [taskGroup-0] INFO  Channel - Channel set record_speed_limit to -1, No tps activated.

7. 同步结果

2021-06-23 14:02:13.668 [job-0] INFO  JobContainer - 
任务启动时刻                    : 2021-06-23 14:01:52
任务结束时刻                    : 2021-06-23 14:02:13
任务总计耗时                    :                 21s
任务平均流量                    :            3.30MB/s
记录写入速度                    :          52428rec/s
读出记录总数                    :             1048576
读写失败总数                    :                   0