Datax助力轻松迁移SQLServer数据至GreatSQL-低调大师

Datax助力轻松迁移SQLServer数据至GreatSQL

2024-04-22 308

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。

相关链接： GreatSQL社区 Gitee GitHub Bilibili

GreatSQL社区：

社区有奖建议反馈： https://greatsql.cn/thread-54-1-1.html

社区博客有奖征稿详情： https://greatsql.cn/thread-100-1-1.html

（对文章有疑问或者有独到见解都可以去社区官网提出或分享哦~）

技术交流群：

微信&QQ群：

QQ群：533341697

微信群：添加GreatSQL社区助手（微信号：wanlidbc ）好友，待社区助手拉您进群。

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原文链接：https://my.oschina.net/GreatSQL/blog/11053973

转载内容版权归作者及来源网站所有！

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见鬼了！我家的 WiFi 只有下雨天才能正常使用...

这是作者大学时期在家里遇到的一个非常奇怪的网络问题，作者的父亲是一名经验丰富的网络工程师，他们家里使用了一个复杂的网络设置，通过 Wi-Fi 桥接的方式，将父亲公司的高速商业网络连接到家中。但是有一天，作者发现家里的 Wi-Fi 只有在下雨时才能正常工作。。。事情发生在十多年前，那时我还是个愣头青大学生。有一次放暑假，我兴冲冲赶回家准备和父母共度几周美好时光。毕竟一年没回来了，而且学校在大海的另一边，回来一趟不容易。我的父亲是一名工程师，在我出生之前就已经开始潜心研究网络设备。他创办的公司为全国各地的机构设计和部署了各种复杂的网络系统——从办公楼的千兆以太网，到城际间的视距微波链路，无所不包。我刚回到家，父亲就一本正经地告诉我：Wi-Fi 只有下雨天才能用。 “什么？” 我惊讶地长大了嘴巴。 “Wi-Fi 只有在下雨的时候才能用，” 他耐心地重复道，“几周前开始的，我还没来得及查。” “这不可能，” 我说。常识告诉我，雨只会让无线信号质量变差，而不是变好。怎么可能因雨而好转呢！我要在家住两周啊！两个星期都不能上网？这绝对不可以！否认现实随即我打开笔记本电脑，开始检查网络。 ...

2024-04-22

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清华全球大模型报告出炉，文心一言语文数学双料第一

最近，由清华大学基础模型研究中心联合中关村实验室研制的SuperBench大模型综合能力评测框架，正式对外发布2024年3月版《SuperBench大模型综合能力评测报告》。评测共包含了14个海内外具有代表性的模型，结果显示：文心一言4.0表现亮眼，与国际一流模型水平接近，且差距已经逐渐缩小，名副其实为国内头部模型。例如在人类对齐能力评测中，文心一言4.0表现优异，位居国内第一，其中在中文推理、中文语言等评测上，文心一言遥遥领先，和其他模型拉开明显差距，中文理解上，文心一言4.0领先优势明显，领先第二名GLM-40.41分，GPT-4系列模型表现较差，排在中下游，并且和第一名文心一言4.0分差超过1分。在语义理解中的数学能力上，文心一言4.0与Claude-3并列全球第一；GPT-4系列模型位列第四五，其他模型得分在55分附近较为集中，明显落后第一梯队；而在语义理解中的阅读理解能力上，文心一言4.0超过GPT-4 Turbo、Claude-3以及GLM-4拿下榜首。而在企业选择大模型最看重的安全性评测上，国内模型文心一言4.0表现亮眼，力压国际一流模型GPT-4系列模型和Clau...

2024-04-22

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