springboot分库分表使用
恶作剧 2023/6/12 javasharding-jdbc
[TOC]
准备环境:
springboot 2.1.7
JPA
sharding 4.1.0
Druid-spring-boot-starter 1.2.6
# 1.环境依赖
<!--mvc支持-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!--mysql依赖-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<!--QueryDSL支持-->
<dependency>
<groupId>com.querydsl</groupId>
<artifactId>querydsl-jpa</artifactId>
</dependency>
<dependency>
<groupId>com.querydsl</groupId>
<artifactId>querydsl-apt</artifactId>
</dependency>
<!--druid数据源-->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.2.6</version>
</dependency>
<!--sharding分库分表-->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>sharding-jdbc-spring-boot-starter</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<build>
<plugins>
<!--因为是类型安全的,所以还需要加上Maven APT plugin,使用 APT 自动生成一些类:-->
<plugin>
<groupId>com.mysema.maven</groupId>
<artifactId>apt-maven-plugin</artifactId>
<version>1.1.3</version>
<executions>
<execution>
<goals>
<goal>process</goal>
</goals>
<configuration>
<outputDirectory>target/generated-sources/java</outputDirectory>
<processor>com.querydsl.apt.jpa.JPAAnnotationProcessor</processor>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
# 2.添加properties
##设置数据源 多个数据源逗号隔开
spring.shardingsphere.datasource.names=db0
#spring.shardingsphere.props.sql-show=true
#spring.shardingsphere.sharding.default-data-source-name=db0
spring.shardingsphere.datasource.db0.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.db0.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.db0.url=jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=utf-8&useSSL=true&serverTimezone=UTC
spring.shardingsphere.datasource.db0.username=root
spring.shardingsphere.datasource.db0.password=root
spring.shardingsphere.datasource.db0.maximum-pool-size=64
spring.shardingsphere.datasource.db0.connection-timeout=60000
spring.shardingsphere.datasource.db0.max-lifetime=60000
#测试连接
#spring.shardingsphere.datasource.db0.connection-test-query=SELECT 'X'
spring.shardingsphere.datasource.db0.minimum-idle=10
spring.shardingsphere.datasource.db1.type=com.alibaba.druid.pool.DruidDataSource
spring.shardingsphere.datasource.db1.driver-class-name=com.mysql.cj.jdbc.Driver
spring.shardingsphere.datasource.db1.url=jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=utf-8&useSSL=true&serverTimezone=UTC
spring.shardingsphere.datasource.db1.username=root
spring.shardingsphere.datasource.db1.password=root
spring.shardingsphere.datasource.db1.maximum-pool-size=64
spring.shardingsphere.datasource.db1.connection-timeout=60000
spring.shardingsphere.datasource.db1.max-lifetime=60000
#测试连接
#spring.shardingsphere.datasource.db1.connection-test-query=SELECT 'X'
spring.shardingsphere.datasource.db1.minimum-idle=10
#分库分表策略 使用feture Task语法
spring.shardingsphere.sharding.tables.t_user.actual-data-nodes=db0.t_user->{0..2}
#分表字段
spring.shardingsphere.sharding.tables.t_user.table-strategy.inline.sharding-column=userStatus
#分表规则: 单库时省略数据源前缀,多库需加上数据源前缀
spring.shardingsphere.sharding.tables.t_user.table-strategy.inline.algorithm-expression=db0.t_user->{userStatus % 3}
# 表id
spring.shardingsphere.sharding.tables.t_user.key-generator.column=userId
# 表id生成策略:雪花算法SNOWFLAKE
spring.shardingsphere.sharding.tables.t_user.key-generator.type=SNOWFLAKE
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37