Datax助力轻松迁移SQLServer数据至GreatSQL
1.环境说明
1.1源端SQLSserver
版本 | IP | 端口 |
---|---|---|
Microsoft SQL Server 2017 | 192.168.140.160 | 1433 |
1.2目标端GreatSQL
版本 | IP | 端口 |
---|---|---|
GreatSQL-8.0.32 | 192.168.139.86 | 3308 |
2.安装环境
2.1安装SQLServer环境
环境说明:借助Docker使用镜像启动数据库
2.1.1安装docker
1.安装基础软件包
$ yum install -y wget net-tools nfs-utils lrzsz gcc gcc-c++ make cmake libxml2-devel openssl-devel curl curl-devel unzip sudo ntp libaio-devel wget vim ncurses-devel autoconf automake zlib-devel python-devel epel-release openssh-server socat ipvsadm conntrack yum-utils
2.配置 docker-ce 国内 yum 源(阿里云)
$ yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
3.安装 docker 依赖包
$ yum install -y device-mapper-persistent-data lvm2
4.安装 docker-ce
$ yum install docker-ce -y
5.启动容器
$ systemctl start docker && systemctl enable docker
2.1.2 拉取镜像
$ docker pull mcr.microsoft.com/mssql/server:2017-latest
2.1.3运行容器
$ docker run -e "ACCEPT_EULA=Y" -e "SA_PASSWORD=********" \
-p 1433:1433 --name sqlserver2017 \
-d mcr.microsoft.com/mssql/server:2017-latest
此处记得密码设置为复杂密码
参数解释:
-
-e "ACCEPT_EULA=Y":默认选择同意协议许可证
-
-e "SA_PASSWORD=********":设置连接密码,密码不能太短太简单,否则不满足sqlserver密码规范,容器会停止运行
-
-p 1433:1433: 宿主机端口映射到容器端口(前者为宿主机)
-
--name sqlserver2017:容器别名
-
-d: 后台运行
-
mcr.microsoft.com/mssql/server:2017-latest:镜像名称:标签
2.1.4使用数据库
1.进入容器
$ docker exec -it sqlserver2017 bash
2.连接数据库
$ /opt/mssql-tools/bin/sqlcmd -S localhost -U SA -P "********"
3.查询数据库
1> select name from sys.Databases;
2> go
4.创建数据库
1> create database testdb;
2> go
5.创建表并插入数据
use testdb
create table t1(id int)
go
Insert into t1 values(1),(2)
go
2.2安装GreatSQL环境
使用Docker镜像进行安装,直接拉取GreatSQL镜像即可
$ docker pull greatsql/greatsql
并创建GreatSQL容器
$ docker run -d --name greatsql --hostname=greatsql -e MYSQL_ALLOW_EMPTY_PASSWORD=1 greatsql/greatsql
2.3安装datax
DataX安装需要依赖的环境
-
JDK(1.8以上,推荐1.8)
-
Python(推荐Python2.6.X及以上)
安装步骤,解压即用,但是解压完成不做其他操作运行job会报错
$ cd /soft
$ ll
total 3764708
-rw-r--r-- 1 root root 853734462 Dec 9 04:06 datax.tar.gz
$ tar xf datax.tar.gz
$ python /soft/datax/bin/datax.py /soft/datax/job/job.json
DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
2023-07-19 11:19:17.483 [main] WARN ConfigParser - 插件[streamreader,streamwriter]加载失败,1s后重试... Exception:Code:[Common-00], Describe:[您提供的配置文件存在错误信息,请检查您的作业配置 .] - 配置信息错误,您提供的配置文件[/soft/datax/plugin/reader/._mysqlreader/plugin.json]不存在. 请检查您的配置文件.
2023-07-19 11:19:18.488 [main] ERROR Engine -
经DataX智能分析,该任务最可能的错误原因是:
com.alibaba.datax.common.exception.DataXException: Code:[Common-00], Describe:[您提供的配置文件存在错误信息,请检查您的作业配置 .] - 配置信息错误,您提供的配置文件[/soft/datax/plugin/reader/._mysqlreader/plugin.json]不存在. 请检查您的配置文件.
at com.alibaba.datax.common.exception.DataXException.asDataXException(DataXException.java:26)
at com.alibaba.datax.common.util.Configuration.from(Configuration.java:95)
at com.alibaba.datax.core.util.ConfigParser.parseOnePluginConfig(ConfigParser.java:153)
at com.alibaba.datax.core.util.ConfigParser.parsePluginConfig(ConfigParser.java:125)
at com.alibaba.datax.core.util.ConfigParser.parse(ConfigParser.java:63)
at com.alibaba.datax.core.Engine.entry(Engine.java:137)
at com.alibaba.datax.core.Engine.main(Engine.java:204)
解决报错:删除plugin目录下以及plugin/reader和plugin/writer目录下的所有._开头的文件
需要删除三个目录下的隐藏文件
- plugin/
- plugin/reader/
- plugin/writer/
$ rm -rf /opt/app/datax/plugin/._*
$ rm -rf /opt/app/datax/plugin/reader/._*
$ rm -rf /opt/app/datax/plugin/writer/._*
运行一个测例,检测datax是否安装成功
$ python /soft/datax/bin/datax.py /soft/datax/job/job.json
DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
2023-07-19 11:22:12.298 [main] INFO VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2023-07-19 11:22:12.305 [main] INFO Engine - the machine info =>
osInfo: Oracle Corporation 1.8 25.251-b08
jvmInfo: Linux amd64 4.19.25-200.1.el7.bclinux.x86_64
cpu num: 48
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
2023-07-19 11:22:12.320 [main] INFO Engine -
{"content":[{"reader":{"name":"streamreader",
"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":100000}
},"writer":{"name":"streamwriter","parameter":{"encoding":"UTF-8","print":false}}}],
"setting":{"errorLimit":{"percentage":0.02,"record":0},
"speed":{"byte":10485760}}}
2023-07-19 11:22:12.336 [main] WARN Engine - prioriy set to 0, because NumberFormatException, the value is: null
2023-07-19 11:22:12.337 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2023-07-19 11:22:12.338 [main] INFO JobContainer - DataX jobContainer starts job.
2023-07-19 11:22:12.339 [main] INFO JobContainer - Set jobId = 0
2023-07-19 11:22:12.352 [job-0] INFO JobContainer - jobContainer starts to do prepare ...
2023-07-19 11:22:12.352 [job-0] INFO JobContainer - DataX Reader.Job [streamreader] do prepare work .
2023-07-19 11:22:12.352 [job-0] INFO JobContainer - DataX Writer.Job [streamwriter] do prepare work .
2023-07-19 11:22:12.352 [job-0] INFO JobContainer - jobContainer starts to do split ...
2023-07-19 11:22:12.353 [job-0] INFO JobContainer - Job set Max-Byte-Speed to 10485760 bytes.
2023-07-19 11:22:12.354 [job-0] INFO JobContainer - DataX Reader.Job [streamreader] splits to [1] tasks.
2023-07-19 11:22:12.354 [job-0] INFO JobContainer - DataX Writer.Job [streamwriter] splits to [1] tasks.
2023-07-19 11:22:12.371 [job-0] INFO JobContainer - jobContainer starts to do schedule ...
2023-07-19 11:22:12.375 [job-0] INFO JobContainer - Scheduler starts [1] taskGroups.
2023-07-19 11:22:12.376 [job-0] INFO JobContainer - Running by standalone Mode.
2023-07-19 11:22:12.384 [taskGroup-0] INFO TaskGroupContainer - taskGroupId=[0] start [1] channels for [1] tasks.
2023-07-19 11:22:12.388 [taskGroup-0] INFO Channel - Channel set byte_speed_limit to -1, No bps activated.
2023-07-19 11:22:12.388 [taskGroup-0] INFO Channel - Channel set record_speed_limit to -1, No tps activated.
2023-07-19 11:22:12.396 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started
2023-07-19 11:22:12.697 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] is successed, used[302]ms
2023-07-19 11:22:12.698 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] completed it's tasks.
2023-07-19 11:22:22.402 [job-0] INFO StandAloneJobContainerCommunicator - Total 100000 records, 2600000 bytes | Speed 253.91KB/s, 10000 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.020s | All Task WaitReaderTime 0.033s | Percentage 100.00%
2023-07-19 11:22:22.402 [job-0] INFO AbstractScheduler - Scheduler accomplished all tasks.
2023-07-19 11:22:22.402 [job-0] INFO JobContainer - DataX Writer.Job [streamwriter] do post work.
2023-07-19 11:22:22.403 [job-0] INFO JobContainer - DataX Reader.Job [streamreader] do post work.
2023-07-19 11:22:22.403 [job-0] INFO JobContainer - DataX jobId [0] completed successfully.
2023-07-19 11:22:22.403 [job-0] INFO HookInvoker - No hook invoked, because base dir not exists or is a file: /soft/datax/hook
2023-07-19 11:22:22.404 [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
2023-07-19 11:22:22.404 [job-0] INFO JobContainer - PerfTrace not enable!
2023-07-19 11:22:22.404 [job-0] INFO StandAloneJobContainerCommunicator - Total 100000 records, 2600000 bytes | Speed 253.91KB/s, 10000 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.020s | All Task WaitReaderTime 0.033s | Percentage 100.00%
2023-07-19 11:22:22.406 [job-0] INFO JobContainer -
任务启动时刻 : 2023-07-19 11:22:12
任务结束时刻 : 2023-07-19 11:22:22
任务总计耗时 : 10s
任务平均流量 : 253.91KB/s
记录写入速度 : 10000rec/s
读出记录总数 : 100000
读写失败总数 : 0
3.SQLServer2GreatSQL全量迁移
3.1 源端(SQLServer)造测试数据
$ docker exec -it 47bd0ed79c26 /bin/bash
$ /opt/mssql-tools/bin/sqlcmd -S localhost -U SA -P "********"
1> create database testdb
1> use testdb
1> insert into t1 values(1),(2),(3);
2> go
1> select * from t1;
2> go
id
\-----------
1
2
3
3.2 目标端(GreatSQL)创建表结构
greatsql> create database testdb;
greatsql> use testdb;
greatsql> create table t1 (id int primary key);
3.3 编写Datax的job文件
$ cat /soft/datax/job/sqlserver_to_greatsql.json
{
"job": {
"content": [
{
"reader": {
"name": "sqlserverreader",
"parameter": {
"connection": [
{
"jdbcUrl": ["jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb"],
"table": ["t1"]
}
],
"password": "********",
"username": "SA",
"column": ["*"]
}
},
"writer": {
"name": "mysqlwriter",
"parameter": {
"column": ["*"],
"connection": [
{
"jdbcUrl": "jdbc:mysql://10.17.139.86:3308/testdb",
"table": ["t1"]
}
],
"password": "******",
"session": [],
"username": "admin",
"writeMode": "insert"
}
}
}
],
"setting": {
"speed": {
"channel": "5"
}
}
}
}
3.4 运行Datax迁移任务
$ python /soft/datax/bin/datax.py /soft/datax/job/sqlserver_to_greatsql.json
DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
2023-11-28 09:58:44.087 [main] INFO VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2023-11-28 09:58:44.104 [main] INFO Engine - the machine info =>
osInfo: Oracle Corporation 1.8 25.181-b13
jvmInfo: Linux amd64 3.10.0-957.el7.x86_64
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
2023-11-28 09:58:44.137 [main] INFO Engine -
{
"content":[
{"reader":{
"name":"sqlserverreader",
"parameter":{
"column":["*"],
"connection":[
{"jdbcUrl":["jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb"],
"table":["t1"]}],
"password":"*************",
"username":"SA"}},
"writer":{"name":"mysqlwriter","parameter":{"column":["*"],
"connection":[{"jdbcUrl":"jdbc:mysql://10.17.139.86:3308/testdb",
"table":["t1"]}],
"password":"********",
"session":[],
"username":"admin",
"writeMode":"insert"}}}],
"setting":{"speed":{"channel":"5"}}}
2023-11-28 09:58:44.176 [main] WARN Engine - prioriy set to 0, because NumberFormatException, the value is: null
2023-11-28 09:58:44.179 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2023-11-28 09:58:44.180 [main] INFO JobContainer - DataX jobContainer starts job.
2023-11-28 09:58:44.183 [main] INFO JobContainer - Set jobId = 0
2023-11-28 09:58:44.542 [job-0] INFO OriginalConfPretreatmentUtil - Available jdbcUrl:jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb.
2023-11-28 09:58:44.544 [job-0] WARN OriginalConfPretreatmentUtil - 您的配置文件中的列配置存在一定的风险. 因为您未配置读取数据库表的列,当您的表字段个数、类型有变动时,可能影响任务正确性甚至会运行出错。请检查您的配置并作出修改.
Loading class `com.mysql.jdbc.Driver'. This is deprecated. The new driver class is `com.mysql.cj.jdbc.Driver'. The driver is automatically registered via the SPI and manual loading of the driver class is generally unnecessary.
2023-11-28 09:58:45.099 [job-0] INFO OriginalConfPretreatmentUtil - table:[t1] all columns:[id].
2023-11-28 09:58:45.099 [job-0] WARN OriginalConfPretreatmentUtil - 您的配置文件中的列配置信息存在风险. 因为您配置的写入数据库表的列为*,当您的表字段个数、类型有变动时,可能影响任务正确性甚至会运行出错。请检查您的配置并作出修改.
2023-11-28 09:58:45.102 [job-0] INFO OriginalConfPretreatmentUtil - Write data [
insert INTO %s (id) VALUES(?)
], which jdbcUrl like:[jdbc:mysql://10..17.139.86:16310/testdb?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true]
2023-11-28 09:58:45.103 [job-0] INFO JobContainer - jobContainer starts to do prepare ...
2023-11-28 09:58:45.103 [job-0] INFO JobContainer - DataX Reader.Job [sqlserverreader] do prepare work
2023-11-28 09:58:45.104 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] do prepare work .
2023-11-28 09:58:45.104 [job-0] INFO JobContainer - jobContainer starts to do split ...
2023-11-28 09:58:45.105 [job-0] INFO JobContainer - Job set Channel-Number to 5 channels.
2023-11-28 09:58:45.112 [job-0] INFO JobContainer - DataX Reader.Job [sqlserverreader] splits to [1] tasks.
2023-11-28 09:58:45.114 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] splits to [1] tasks.
2023-11-28 09:58:45.135 [job-0] INFO JobContainer - jobContainer starts to do schedule ...
2023-11-28 09:58:45.139 [job-0] INFO JobContainer - Scheduler starts [1] taskGroups.
2023-11-28 09:58:45.142 [job-0] INFO JobContainer - Running by standalone Mode.
2023-11-28 09:58:45.151 [taskGroup-0] INFO TaskGroupContainer - taskGroupId=[0] start [1] channels for [1] tasks.
2023-11-28 09:58:45.157 [taskGroup-0] INFO Channel - Channel set byte_speed_limit to -1, No bps activated.
2023-11-28 09:58:45.158 [taskGroup-0] INFO Channel - Channel set record_speed_limit to -1, No tps activated.
2023-11-28 09:58:45.173 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started
2023-11-28 09:58:45.181 [0-0-0-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select * from t1
] jdbcUrl:[jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb].
2023-11-28 09:58:45.398 [0-0-0-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select * from t1
] jdbcUrl:[jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb].
2023-11-28 09:58:45.454 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] is successed, used[284]ms
2023-11-28 09:58:45.455 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] completed it's tasks.
2023-11-28 09:58:55.175 [job-0] INFO StandAloneJobContainerCommunicator - Total 3 records, 3 bytes | Speed 0B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2023-11-28 09:58:55.175 [job-0] INFO AbstractScheduler - Scheduler accomplished all tasks.
2023-11-28 09:58:55.175 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] do post work.
2023-11-28 09:58:55.176 [job-0] INFO JobContainer - DataX Reader.Job [sqlserverreader] do post work.
2023-11-28 09:58:55.176 [job-0] INFO JobContainer - DataX jobId [0] completed successfully.
2023-11-28 09:58:55.176 [job-0] INFO HookInvoker - No hook invoked, because base dir not exists or is a file: /soft/datax/hook
2023-11-28 09:58:55.177 [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 | 1 | 1 | 1 | 0.061s | 0.061s | 0.061s
PS Scavenge | 1 | 1 | 1 | 0.039s | 0.039s | 0.039s
2023-11-28 09:58:55.177 [job-0] INFO JobContainer - PerfTrace not enable!
2023-11-28 09:58:55.177 [job-0] INFO StandAloneJobContainerCommunicator - Total 3 records, 3 bytes | Speed 0B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2023-11-28 09:58:55.179 [job-0] INFO JobContainer -
任务启动时刻 : 2023-11-28 09:58:44
任务结束时刻 : 2023-11-28 09:58:55
任务总计耗时 : 10s
任务平均流量 : 0B/s
记录写入速度 : 0rec/s
读出记录总数 : 3
读写失败总数 : 0
3.5 到目标端验证数据
greatsql> select * from t1;
+----+
| id |
+----+
| 1 |
| 2 |
| 3 |
+----+
3 rows in set (0.01 sec)
4. SQLServer to GreatSQL增量迁移
4.1 源端(SQLServer)创建测试数据
2> create table t2 (id int,createtime datetime);
3> go
1> insert into t2 values(1,GETDATE());
2> g
(1 rows affected)
1> insert into t2 values(2,GETDATE());
2> go
(1 rows affected)
1> insert into t2 values(3,GETDATE());
2> go
(1 rows affected)
1> insert into t2 values(4,GETDATE());
2> go
(1 rows affected)
1> insert into t2 values(5,GETDATE());
2> go
(1 rows affected)
1> insert into t2 values(6,GETDATE());
2> go
(1 rows affected)
1> select * from t2;
2> go
id createtime
---------- -----------------------
1 2023-11-28 02:18:20.790
2 2023-11-28 02:18:27.040
3 2023-11-28 02:18:32.103
4 2023-11-28 02:18:37.690
5 2023-11-28 02:18:41.450
6 2023-11-28 02:18:46.330
4.2 编写Datax的全量迁移job文件
$ cat sqlserver_to_greatsql_inc.json
{
"job": {
"content": [
{
"reader": {
"name": "sqlserverreader",
"parameter": {
"connection": [
{
"jdbcUrl": ["jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb"],
"table": ["t2"]
}
],
"password": "********",
"username": "SA",
"column": ["*"]
}
},
"writer": {
"name": "mysqlwriter",
"parameter": {
"column": ["*"],
"connection": [
{
"jdbcUrl": "jdbc:mysql://10.17.139.86:3308/testdb",
"table": ["t2"]
}
],
"password": "!QAZ2wsx",
"session": [],
"username": "admin",
"writeMode": "insert"
}
}
}
],
"setting": {
"speed": {
"channel": "5"
}
}
}
}
4.3 运行Datax全量迁移任务
$ python /soft/datax/bin/datax.py /soft/datax/job/sqlserver_to_greatsql_inc.json
DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
2023-11-28 10:19:59.279 [main] INFO VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2023-11-28 10:19:59.286 [main] INFO Engine - the machine info =>
osInfo: Oracle Corporation 1.8 25.181-b13
jvmInfo: Linux amd64 3.10.0-957.el7.x86_64
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
2023-11-28 10:19:59.302 [main] INFO Engine -
{"content":[{"reader":{"name":"sqlserverreader","parameter":{"column":[
"*"],"connection":[{"jdbcUrl":["jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb"],
"table":["t2"]}],"password":"*************","username":"SA"}},
"writer":{"name":"mysqlwriter","parameter":{"column":["*"],
"connection":[{"jdbcUrl":"jdbc:mysql://10..17.139.86:16310/testdb","table":["t2"]}],
"password":"********",
"session":[],
"username":"admin",
"writeMode":"insert"}}}],
"setting":{"speed":{"channel":"5"}}}
2023-11-28 10:19:59.319 [main] WARN Engine - prioriy set to 0, because NumberFormatException, the value is: null
2023-11-28 10:19:59.321 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2023-11-28 10:19:59.321 [main] INFO JobContainer - DataX jobContainer starts job.
2023-11-28 10:19:59.324 [main] INFO JobContainer - Set jobId = 0
2023-11-28 10:19:59.629 [job-0] INFO OriginalConfPretreatmentUtil - Available jdbcUrl:jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb.
2023-11-28 10:19:59.630 [job-0] WARN OriginalConfPretreatmentUtil - 您的配置文件中的列配置存在一定的风险. 因为您未配置读取数据库表的列,当您的表字段个数、类型有变动时,可能影响任务正确性甚至会运行出错。请检查您的配置并作出修改.
Loading class `com.mysql.jdbc.Driver'. This is deprecated. The new driver class is `com.mysql.cj.jdbc.Driver'. The driver is automatically registered via the SPI and manual loading of the driver class is generally unnecessary.
2023-11-28 10:20:00.027 [job-0] INFO OriginalConfPretreatmentUtil - table:[t2] all columns:[
id,createtime].
2023-11-28 10:20:00.027 [job-0] WARN OriginalConfPretreatmentUtil - 您的配置文件中的列配置信息存在风险. 因为您配置的写入数据库表的列为*,当您的表字段个数、类型有变动时,可能影响任务正确性甚至会运行出错。请检查您的配置并作出修改.
2023-11-28 10:20:00.029 [job-0] INFO OriginalConfPretreatmentUtil - Write data [
insert INTO %s (id,createtime) VALUES(?,?)
], which jdbcUrl like:[jdbc:mysql://10..17.139.86:16310/testdb?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true]
2023-11-28 10:20:00.030 [job-0] INFO JobContainer - jobContainer starts to do prepare ...
2023-11-28 10:20:00.031 [job-0] INFO JobContainer - DataX Reader.Job [sqlserverreader] do prepare work .
2023-11-28 10:20:00.031 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] do prepare work .
2023-11-28 10:20:00.032 [job-0] INFO JobContainer - jobContainer starts to do split ...
2023-11-28 10:20:00.032 [job-0] INFO JobContainer - Job set Channel-Number to 5 channels.
2023-11-28 10:20:00.037 [job-0] INFO JobContainer - DataX Reader.Job [sqlserverreader] splits to [1] tasks.
2023-11-28 10:20:00.038 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] splits to [1] tasks.
2023-11-28 10:20:00.060 [job-0] INFO JobContainer - jobContainer starts to do schedule ...
2023-11-28 10:20:00.063 [job-0] INFO JobContainer - Scheduler starts [1] taskGroups.
2023-11-28 10:20:00.066 [job-0] INFO JobContainer - Running by standalone Mode.
2023-11-28 10:20:00.073 [taskGroup-0] INFO TaskGroupContainer - taskGroupId=[0] start [1] channels for [1] tasks.
2023-11-28 10:20:00.080 [taskGroup-0] INFO Channel - Channel set byte_speed_limit to -1, No bps activated.
2023-11-28 10:20:00.080 [taskGroup-0] INFO Channel - Channel set record_speed_limit to -1, No tps activated.
2023-11-28 10:20:00.093 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started
2023-11-28 10:20:00.101 [0-0-0-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select * from t2
] jdbcUrl:[jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb].
2023-11-28 10:20:00.262 [0-0-0-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select * from t2
] jdbcUrl:[jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb].
2023-11-28 10:20:00.334 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] is successed, used[243]ms
2023-11-28 10:20:00.335 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] completed it's tasks.
2023-11-28 10:20:10.087 [job-0] INFO StandAloneJobContainerCommunicator - Total 6 records, 54 bytes | Speed 5B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2023-11-28 10:20:10.088 [job-0] INFO AbstractScheduler - Scheduler accomplished all tasks.
2023-11-28 10:20:10.088 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] do post work.
2023-11-28 10:20:10.089 [job-0] INFO JobContainer - DataX Reader.Job [sqlserverreader] do post work.
2023-11-28 10:20:10.090 [job-0] INFO JobContainer - DataX jobId [0] completed successfully.
2023-11-28 10:20:10.091 [job-0] INFO HookInvoker - No hook invoked, because base dir not exists or is a file: /soft/datax/hook
2023-11-28 10:20:10.094 [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 | 1 | 1 | 1 | 0.034s | 0.034s | 0.034s
PS Scavenge | 1 | 1 | 1 | 0.031s | 0.031s | 0.031s
2023-11-28 10:20:10.094 [job-0] INFO JobContainer - PerfTrace not enable!
2023-11-28 10:20:10.095 [job-0] INFO StandAloneJobContainerCommunicator - Total 6 records, 54 bytes | Speed 5B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2023-11-28 10:20:10.097 [job-0] INFO JobContainer -
任务启动时刻 : 2023-11-28 10:19:59
任务结束时刻 : 2023-11-28 10:20:10
任务总计耗时 : 10s
任务平均流量 : 5B/s
记录写入速度 : 0rec/s
读出记录总数 : 6
读写失败总数 : 0
4.4 验证全量迁移的数据
greatsql> select * from t2;
+----+---------------------+
| id | createtime |
+----+---------------------+
| 1 | 2023-11-28 02:18:21 |
| 2 | 2023-11-28 02:18:27 |
| 3 | 2023-11-28 02:18:32 |
| 4 | 2023-11-28 02:18:38 |
| 5 | 2023-11-28 02:18:41 |
| 6 | 2023-11-28 02:18:46 |
+----+---------------------+
还可以用 checksum table x 来验证,大表就不能全表select * 了
4.5 源端(SQLServer)插入增量数据
2> insert into t2 values(7,'202311-28 03:18:46.330');
3> go
Changed database context to 'jem_db'.
(1 rows affected)
1> insert into t2 values(8,'2023-11-28 03:20:46.330');
2> go
(1 rows affected)
1> insert into t2 values(9,'2023-11-28 03:25:46.330');
2> go
(1 rows affected)
1> insert into t2 values(10,'2023-11-28 03:30:46.330');
2> go
(1 rows affected)
1> select * from t2;
2> go
id createtime
----------- -----------------------
1 2023-11-28 02:18:20.790
2 2023-11-28 02:18:27.040
3 2023-11-28 02:18:32.103
4 2023-11-28 02:18:37.690
5 2023-11-28 02:18:41.450
6 2023-11-28 02:18:46.330
7 2023-11-28 03:18:46.330
8 2023-11-28 03:20:46.330
9 2023-11-28 03:25:46.330
10 2023-11-28 03:30:46.330
4.6 编写Datax增量迁移job文件
$ cat sqlserver_to_greatsql_inc.json
{
"job": {
"content": [
{
"reader": {
"name": "sqlserverreader",
"parameter": {
"connection": [
{
"jdbcUrl": ["jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb"],
"table": ["t2"]
}
],
"password": "********",
"username": "SA",
"column": ["*"],
"where":"createtime > '${start_time}' and createtime < '${end_time}'"
}
},
"writer": {
"name": "mysqlwriter",
"parameter": {
"column": ["*"],
"connection": [
{
"jdbcUrl": "jdbc:mysql://10..17.139.86:16310/testdb",
"table": ["t2"]
}
],
"password": "!QAZ2wsx",
"session": [],
"username": "admin",
"writeMode": "insert"
}
}
}
],
"setting": {
"speed": {
"channel": "5"
}
}
}
}
4.7 运行Datax增量迁移任务
$ python /soft/datax/bin/datax.py /soft/datax/job/sqlserver_to_mysql_inc.json -p "-Dstart_time='2023-11-28 03:17:46.330' -Dend_time='2023-11-28 03:31:46.330'"
DataX (DATAX-OPENSOURCE-3.0), From Alibaba !
Copyright (C) 2010-2017, Alibaba Group. All Rights Reserved.
2023-11-28 10:29:24.492 [main] INFO VMInfo - VMInfo# operatingSystem class => sun.management.OperatingSystemImpl
2023-11-28 10:29:24.504 [main] INFO Engine - the machine info =>
osInfo: Oracle Corporation 1.8 25.181-b13
jvmInfo: Linux amd64 3.10.0-957.el7.x86_64
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
2023-11-28 10:29:24.524 [main] INFO Engine -
{"content":[{"reader":{"name":"sqlserverreader","parameter":{"column":["*"],
"connection":[{"jdbcUrl":["jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb"],
"table":["t2"]}],"password":"*************","username":"SA",
"where":"createtime > '2023-11-28 03:17:46.330' and createtime < '2023-11-28 03:31:46.330'"}},
"writer":{"name":"mysqlwriter","parameter":{"column":["*"],"connection":[{"jdbcUrl":"jdbc:mysql://10..17.139.86:16310/testdb","table":["t2"]}],
"password":"********",
"session":[],
"username":"admin",
"writeMode":"insert"}}}],
"setting":{"speed":{"channel":"5"}}}
2023-11-28 10:29:24.542 [main] WARN Engine - prioriy set to 0, because NumberFormatException, the value is: null
2023-11-28 10:29:24.544 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2023-11-28 10:29:24.544 [main] INFO JobContainer - DataX jobContainer starts job.
2023-11-28 10:29:24.546 [main] INFO JobContainer - Set jobId = 0
2023-11-28 10:29:24.830 [job-0] INFO OriginalConfPretreatmentUtil - Available jdbcUrl:jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb.
2023-11-28 10:29:24.831 [job-0] WARN OriginalConfPretreatmentUtil - 您的配置文件中的列配置存在一定的风险. 因为您未配置读取数据库表的列,当您的表字段个数、类型有变动时,可能影响任务正确性甚至会运行出错。请检查您的配置并作出修改.
Loading class `com.mysql.jdbc.Driver'. This is deprecated. The new driver class is `com.mysql.cj.jdbc.Driver'. The driver is automatically registered via the SPI and manual loading of the driver class is generally unnecessary.
2023-11-28 10:29:25.113 [job-0] INFO OriginalConfPretreatmentUtil - table:[t2] all columns:[id,createtime].
2023-11-28 10:29:25.113 [job-0] WARN OriginalConfPretreatmentUtil - 您的配置文件中的列配置信息存在风险. 因为您配置的写入数据库表的列为*,当您的表字段个数、类型有变动时,可能影响任务正确性甚至会运行出错。请检查您的配置并作出修改.
2023-11-28 10:29:25.115 [job-0] INFO OriginalConfPretreatmentUtil - Write data [
insert INTO %s (id,createtime) VALUES(?,?)
], which jdbcUrl like:[jdbc:mysql://10..17.139.86:16310/testdb?yearIsDateType=false&zeroDateTimeBehavior=convertToNull&tinyInt1isBit=false&rewriteBatchedStatements=true]
2023-11-28 10:29:25.116 [job-0] INFO JobContainer - jobContainer starts to do prepare ...
2023-11-28 10:29:25.117 [job-0] INFO JobContainer - DataX Reader.Job [sqlserverreader] do prepare work .
2023-11-28 10:29:25.117 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] do prepare work .
2023-11-28 10:29:25.118 [job-0] INFO JobContainer - jobContainer starts to do split ...
2023-11-28 10:29:25.118 [job-0] INFO JobContainer - Job set Channel-Number to 5 channels.
2023-11-28 10:29:25.123 [job-0] INFO JobContainer - DataX Reader.Job [sqlserverreader] splits to [1] tasks.
2023-11-28 10:29:25.124 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] splits to [1] tasks.
2023-11-28 10:29:25.146 [job-0] INFO JobContainer - jobContainer starts to do schedule ...
2023-11-28 10:29:25.150 [job-0] INFO JobContainer - Scheduler starts [1] taskGroups.
2023-11-28 10:29:25.153 [job-0] INFO JobContainer - Running by standalone Mode.
2023-11-28 10:29:25.159 [taskGroup-0] INFO TaskGroupContainer - taskGroupId=[0] start [1] channels for [1] tasks.
2023-11-28 10:29:25.165 [taskGroup-0] INFO Channel - Channel set byte_speed_limit to -1, No bps activated.
2023-11-28 10:29:25.165 [taskGroup-0] INFO Channel - Channel set record_speed_limit to -1, No tps activated.
2023-11-28 10:29:25.176 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] attemptCount[1] is started
2023-11-28 10:29:25.183 [0-0-0-reader] INFO CommonRdbmsReader$Task - Begin to read record by Sql: [select * from t2 where (createtime > '2023-11-28 03:17:46.330' and createtime < '2023-11-28 03:31:46.330')
] jdbcUrl:[jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb].
2023-11-28 10:29:25.344 [0-0-0-reader] INFO CommonRdbmsReader$Task - Finished read record by Sql: [select * from t2 where (createtime > '2023-11-28 03:17:46.330' and createtime < '2023-11-28 03:31:46.330')
] jdbcUrl:[jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb].
2023-11-28 10:29:25.606 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] taskId[0] is successed, used[431]ms
2023-11-28 10:29:25.607 [taskGroup-0] INFO TaskGroupContainer - taskGroup[0] completed it's tasks.
2023-11-28 10:29:35.173 [job-0] INFO StandAloneJobContainerCommunicator - Total 4 records, 37 bytes | Speed 3B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2023-11-28 10:29:35.173 [job-0] INFO AbstractScheduler - Scheduler accomplished all tasks.
2023-11-28 10:29:35.174 [job-0] INFO JobContainer - DataX Writer.Job [mysqlwriter] do post work.
2023-11-28 10:29:35.175 [job-0] INFO JobContainer - DataX Reader.Job [sqlserverreader] do post work.
2023-11-28 10:29:35.175 [job-0] INFO JobContainer - DataX jobId [0] completed successfully.
2023-11-28 10:29:35.177 [job-0] INFO HookInvoker - No hook invoked, because base dir not exists or is a file: /soft/datax/hook
2023-11-28 10:29:35.179 [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 | 1 | 1 | 1 | 0.052s | 0.052s | 0.052s
PS Scavenge | 1 | 1 | 1 | 0.024s | 0.024s | 0.024s
2023-11-28 10:29:35.180 [job-0] INFO JobContainer - PerfTrace not enable!
2023-11-28 10:29:35.181 [job-0] INFO StandAloneJobContainerCommunicator - Total 4 records, 37 bytes | Speed 3B/s, 0 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.000s | Percentage 100.00%
2023-11-28 10:29:35.183 [job-0] INFO JobContainer -
任务启动时刻 : 2023-11-28 10:29:24
任务结束时刻 : 2023-11-28 10:29:35
任务总计耗时 : 10s
任务平均流量 : 3B/s
记录写入速度 : 0rec/s
读出记录总数 : 4
读写失败总数 : 0
4.8 到目标端(GreatSQL)验证增量数据
greatsql> select * from t2;
+----+---------------------+
| id | createtime |
+----+---------------------+
| 1 | 2023-11-28 02:18:21 |
| 2 | 2023-11-28 02:18:27 |
| 3 | 2023-11-28 02:18:32 |
| 4 | 2023-11-28 02:18:38 |
| 5 | 2023-11-28 02:18:41 |
| 6 | 2023-11-28 02:18:46 |
| 7 | 2023-11-28 03:18:46 |
| 8 | 2023-11-28 03:20:46 |
| 9 | 2023-11-28 03:25:46 |
| 10 | 2023-11-28 03:30:46 |
+----+---------------------+
10 rows in set (0.00 sec)
增量迁移总结:通过增加过滤条件达到增量迁移的目的。主要是通过过滤条件过滤掉了全量迁移的数据,进而变相的完成了增量迁移。
Enjoy GreatSQL 😃
关于 GreatSQL
GreatSQL是适用于金融级应用的国内自主开源数据库,具备高性能、高可靠、高易用性、高安全等多个核心特性,可以作为MySQL或Percona Server的可选替换,用于线上生产环境,且完全免费并兼容MySQL或Percona Server。
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