Datax ayuda a migrar fácilmente datos de SQLServer a GreatSQL

[Vista previa de la transmisión en vivo] ¿Los modelos grandes reemplazarán a los programadores? "

1.Descripción ambiental

1.1 Servidor SQLS de origen

Versión	IP	puerto
Servidor Microsoft SQL 2017	192.168.140.160	1433

1.2 Objetivo GreatSQL

Versión	IP	puerto
GranSQL-8.0.32	192.168.139.86	3308

2. Entorno de instalación

2.1 Instalar el entorno SQLServer

Descripción del entorno : inicie la base de datos usando un espejo con Docker

2.1.1Instalar la ventana acoplable

1. Instalar paquetes de software básicos

$ 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. Configure la fuente yum nacional de docker-ce (Alibaba Cloud)

$ yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

3. Instale los paquetes de dependencia de Docker

$ yum install -y  device-mapper-persistent-data lvm2

4.Instalar Docker-ce

$ yum install docker-ce -y

5. Inicie el contenedor

$ systemctl start docker && systemctl enable docker

2.1.2 Extraer la imagen

$ docker pull mcr.microsoft.com/mssql/server:2017-latest

2.1.3 Ejecutando el contenedor

$ docker run -e "ACCEPT_EULA=Y" -e "SA_PASSWORD=********" \
-p 1433:1433 --name sqlserver2017 \
-d mcr.microsoft.com/mssql/server:2017-latest

Recuerde establecer la contraseña aquí como una contraseña compleja

Explicación del parámetro:

-e "ACCEPT_EULA=Y": Seleccione la licencia del acuerdo por defecto
-e "SA_PASSWORD=********": establece la contraseña de conexión. La contraseña no puede ser demasiado corta o simple; de lo contrario, no cumplirá con la especificación de contraseña de sqlserver y el contenedor dejará de ejecutarse.
-p 1433:1433: El puerto del host se asigna al puerto del contenedor (el primero es el host)
--name sqlserver2017: alias del contenedor
-d: ejecutar en segundo plano
mcr.microsoft.com/mssql/server:2017-latest:nombre de imagen:etiqueta

2.1.4 Usando la base de datos

1. Ingrese al contenedor

$ docker exec -it sqlserver2017 bash

2. Conéctese a la base de datos

$ /opt/mssql-tools/bin/sqlcmd -S localhost -U SA -P "********"

3. Consultar la base de datos.

1> select name from sys.Databases;
2> go

4.Crear base de datos

1> create database testdb;
2> go

5. Crea una tabla e inserta datos.

use testdb
create table t1(id int)
go
Insert into t1 values(1),(2)
go

2.2 Instalar el entorno GreatSQL

Utilice la imagen de Docker para instalar, simplemente extraiga la imagen de GreatSQL directamente

$ docker pull greatsql/greatsql

y crear contenedor GreatSQL

$ docker run -d --name greatsql --hostname=greatsql -e MYSQL_ALLOW_EMPTY_PASSWORD=1 greatsql/greatsql

2.3 Instalar datosx

La instalación de DataX requiere entornos dependientes

JDK (1.8 o superior, se recomienda 1.8)
Python (se recomienda Python 2.6.X y superior)

Pasos de instalación: descomprimir y usar. Sin embargo, si ejecuta el trabajo sin realizar otras operaciones después de la descompresión, se informará un error.

$ 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)

Para resolver el error: elimine todos los archivos que comiencen con ._ en el directorio de complementos y en los directorios de complemento/lector y complemento/escritor.

Necesidad de eliminar archivos ocultos en tres directorios

enchufar/
complemento/lector/
complemento/escritor/

$ rm -rf /opt/app/datax/plugin/._*
$ rm -rf /opt/app/datax/plugin/reader/._*
$ rm -rf /opt/app/datax/plugin/writer/._*

Ejecute un caso de prueba para verificar si datax se instaló correctamente

$ 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. Migración completa de SQLServer2GreatSQL

3.1 Crear datos de prueba desde la fuente (SQLServer)

$ 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 Crear estructura de tabla en el lado de destino (GreatSQL)

greatsql> create database testdb;
greatsql> use testdb;
greatsql> create table t1 (id int primary key);

3.3 Escribir archivo de trabajo Datax

$ 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 Ejecutar tarea de migración de Datax

$ 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 Verificar datos en el extremo objetivo

greatsql> select * from t1;
+----+
| id |
+----+
|  1 |
|  2 |
|  3 |
+----+
3 rows in set (0.01 sec)

4. Migración incremental de SQLServer a GreatSQL

4.1 Crear datos de prueba en el lado fuente (SQLServer)

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 Escriba el archivo de trabajo de migración completo de Datax

$ 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 Ejecutar la tarea de migración completa de Datax

$ 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 Verificar todos los datos migrados

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 |
+----+---------------------+

También puede utilizar la tabla de suma de comprobación x para verificar. Para tablas grandes, no puede seleccionar la tabla completa *.

4.5 Insertar datos incrementales desde la fuente (SQLServer)

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 Escribir archivo de trabajo de migración incremental de Datax

$ 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 Ejecutar tarea de migración incremental de Datax

$ 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 Verificar datos incrementales al objetivo (GreatSQL)

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)

Resumen de la migración incremental: el propósito de la migración incremental se logra agregando condiciones de filtro. Principalmente a través de condiciones de filtrado, se filtra la cantidad total de datos migrados y luego se completa la migración incremental encubierta.

Disfruta de GreatSQL :)

Acerca de GreatSQL

GreatSQL es una base de datos nacional independiente de código abierto adecuada para aplicaciones de nivel financiero. Tiene muchas características principales, como alto rendimiento, alta confiabilidad, alta facilidad de uso y alta seguridad. Puede usarse como un reemplazo opcional de MySQL o Percona Server. y se utiliza en entornos de producción online, completamente gratuito y compatible con MySQL o Percona Server.

Enlaces relacionados: Comunidad GreatSQL Gitee GitHub Bilibili

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Sugerencias y comentarios sobre recompensas de la comunidad: https://greatsql.cn/thread-54-1-1.html

Detalles de la presentación del premio del blog comunitario: https://greatsql.cn/thread-100-1-1.html

(Si tiene alguna pregunta sobre el artículo o tiene ideas únicas, puede ir al sitio web oficial de la comunidad para preguntarlas o compartirlas ~)

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