Datax hilft bei der einfachen Migration von SQLServer-Daten nach GreatSQL

Mobile 2024-04-23 11:37:56 views: null

1.Umweltbeschreibung

1.1 Quell-SQLSserver

Ausführung IP Hafen
Microsoft SQL Server 2017 192.168.140.160 1433

1.2 Ziel GreatSQL

Ausführung IP Hafen
GreatSQL-8.0.32 192.168.139.86 3308

2. Installationsumgebung

2.1 Installieren Sie die SQLServer-Umgebung

Umgebungsbeschreibung : Starten Sie die Datenbank über einen Spiegel mit Docker

2.1.1 Docker installieren

1. Installieren Sie grundlegende Softwarepakete

$ 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. Konfigurieren Sie die inländische Docker-CE-Yum-Quelle (Alibaba Cloud).

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

3. Installieren Sie Docker-Abhängigkeitspakete

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

4.Installieren Sie Docker-ce

$ yum install docker-ce -y

5. Starten Sie den Container

$ systemctl start docker && systemctl enable docker

2.1.2 Ziehen Sie das Bild

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

2.1.3 Ausführen des Containers

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

Denken Sie daran, das Passwort hier auf ein komplexes Passwort festzulegen

Parametererklärung:

  • -e „ACCEPT_EULA=Y“: Wählen Sie standardmäßig die Vertragslizenz aus

  • -e „SA_PASSWORD=********“: Legen Sie das Verbindungskennwort fest. Das Kennwort darf nicht zu kurz oder zu einfach sein, da es sonst nicht der SQLServer-Kennwortspezifikation entspricht und der Container nicht mehr ausgeführt wird.

  • -p 1433:1433: Der Host-Port wird dem Container-Port zugeordnet (ersterer ist der Host).

  • --name sqlserver2017: Container-Alias

  • -d: im Hintergrund ausführen

  • mcr.microsoft.com/mssql/server:2017-latest:image name:label

2.1.4 Datenbank verwenden

1. Betreten Sie den Container

$ docker exec -it sqlserver2017 bash

2. Stellen Sie eine Verbindung zur Datenbank her

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

3. Fragen Sie die Datenbank ab

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

4.Datenbank erstellen

1> create database testdb;
2> go

5. Erstellen Sie eine Tabelle und fügen Sie Daten ein

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

2.2 Installieren Sie die GreatSQL-Umgebung

Verwenden Sie zum Installieren das Docker-Image. Ziehen Sie einfach das GreatSQL-Image direkt herunter

$ docker pull greatsql/greatsql

und erstellen Sie einen GreatSQL-Container

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

2.3 Datax installieren

Für die DataX-Installation sind abhängige Umgebungen erforderlich

  • JDK (1.8 oder höher, 1.8 empfohlen)

  • Python (Python2.6.X und höher empfohlen)

Installationsschritte: Dekomprimieren und verwenden. Wenn Sie den Job jedoch ausführen, ohne nach der Dekomprimierung weitere Vorgänge auszuführen, wird ein Fehler gemeldet.

$ 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)

Um den Fehler zu beheben: Löschen Sie alle Dateien, die mit ._ beginnen, im Plugin-Verzeichnis und in den Verzeichnissen Plugin/Reader und Plugin/Writer.

Versteckte Dateien in drei Verzeichnissen müssen gelöscht werden

  • Plugin/
  • Plugin/Reader/
  • Plugin/Autor/
$ rm -rf /opt/app/datax/plugin/._*
$ rm -rf /opt/app/datax/plugin/reader/._*
$ rm -rf /opt/app/datax/plugin/writer/._*

Führen Sie einen Testfall aus, um zu überprüfen, ob datax erfolgreich installiert wurde

$ 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. Vollständige Migration von SQLServer2GreatSQL

3.1 Testdaten aus der Quelle erstellen (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 Tabellenstruktur auf der Zielseite erstellen (GreatSQL)

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

3.3 Datax-Jobdatei schreiben

$ 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 Datax-Migrationsaufgabe ausführen

$ 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 Überprüfen Sie die Daten am Zielende

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

4. Inkrementelle Migration von SQLServer zu GreatSQL

4.1 Testdaten auf der Quellseite erstellen (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 Schreiben Sie die vollständige Migrationsauftragsdatei von 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 Führen Sie die vollständige Datax-Migrationsaufgabe aus

$ 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 Überprüfen Sie alle migrierten Daten

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

Sie können zur Überprüfung auch die Prüfsummentabelle x verwenden. Bei großen Tabellen können Sie nicht die gesamte Tabelle auswählen *.

4.5 Inkrementelle Daten aus der Quelle einfügen (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 Inkrementelle Datax-Migrationsauftragsdatei schreiben

$ 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 Führen Sie die inkrementelle Datax-Migrationsaufgabe aus

$ 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 Inkrementelle Daten zum Ziel überprüfen (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)

Zusammenfassung der inkrementellen Migration: Der Zweck der inkrementellen Migration wird durch das Hinzufügen von Filterbedingungen erreicht. Hauptsächlich durch Filterbedingungen wird die gesamte Menge der migrierten Daten herausgefiltert und anschließend wird die inkrementelle Migration verdeckt durchgeführt.

Viel Spaß mit GreatSQL :)

Über GreatSQL

GreatSQL ist eine inländische unabhängige Open-Source-Datenbank, die für Anwendungen auf Finanzebene geeignet ist. Sie verfügt über viele Kernfunktionen wie hohe Leistung, hohe Zuverlässigkeit, hohe Benutzerfreundlichkeit und hohe Sicherheit. Sie kann als optionaler Ersatz für MySQL oder Percona Server verwendet werden und wird in Online-Produktionsumgebungen verwendet, völlig kostenlos und kompatibel mit MySQL oder Percona Server.

Verwandte Links: GreatSQL Community Gitee GitHub Bilibili

GreatSQL-Community:

Bild

Vorschläge und Feedback zu Community-Belohnungen: https://greatsql.cn/thread-54-1-1.html

Details zur preisgekrönten Einreichung des Community-Blogs: https://greatsql.cn/thread-100-1-1.html

(Wenn Sie Fragen zu dem Artikel haben oder einzigartige Erkenntnisse gewinnen möchten, können Sie diese auf der offiziellen Community-Website stellen oder teilen~)

Technische Austauschgruppe:

WeChat- und QQ-Gruppe:

QQ-Gruppe: 533341697

WeChat-Gruppe: Fügen Sie GreatSQL Community Assistant (WeChat-ID wanlidbc:) als Freund hinzu und warten Sie, bis der Community-Assistent Sie der Gruppe hinzufügt.

Linus hat es sich zur Aufgabe gemacht, zu verhindern, dass Kernel-Entwickler Tabulatoren durch Leerzeichen ersetzen. Sein Vater ist einer der wenigen Führungskräfte, die Code schreiben können, sein zweiter Sohn ist Direktor der Open-Source-Technologieabteilung und sein jüngster Sohn ist ein Open-Source-Core Mitwirkender : Natürliche Sprache wird immer weiter hinter Huawei zurückfallen: Es wird 1 Jahr dauern, bis 5.000 häufig verwendete mobile Anwendungen vollständig auf Hongmeng migriert sind Der Rich - Text-Editor Quill 2.0 wurde mit einer deutlich verbesserten Erfahrung von Ma Huateng und „ Meta Llama 3 “ veröffentlicht Quelle von Laoxiangji ist nicht der Code, die Gründe dafür sind sehr herzerwärmend. Google hat eine groß angelegte Umstrukturierung angekündigt
{{o.name}}
{{m.name}}

Ich denke du magst

Origin my.oschina.net/GreatSQL/blog/11053973
Empfohlen
Rangfolge
Täglich
Mehr
2025-04-30(0)
2025-04-29(0)
2025-04-28(0)
2025-04-27(0)
2025-04-26(0)
2025-04-25(0)
2025-04-24(0)
2025-04-23(0)
2025-04-22(0)
2025-04-21(0)

Code World

© 2018 codetd.com