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
5. 同步分析
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
