mybatis+mysql分库分表_springboot+mybatisplus+sharding-jdbc分库分表实例
项目实践
现在Java项目使用mybatis多一些，所以我也做了一个springboot+mybatisplus+sharding-jdbc分库分表项目例子分享给大家。
其它的框架内容不做赘述，直接上代码。
数据准备
装备两个数据库。并在两个库中建表，建表sql如下：
DROP TABLE IF EXISTS `t_user_0`;
CREATE TABLE `t_user_0` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '主键id',
`order_id` BIGINT(20) DEFAULT '0' COMMENT '顺序编号',
`user_id` BIGINT(20) DEFAULT '0' COMMENT '用户编号',
`user_name` varchar(32) DEFAULT NULL COMMENT '用户名',
`pass_word` varchar(32) DEFAULT NULL COMMENT '密码',
`nick_name` varchar(32) DEFAULT NULL COMMENT '倪名',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
DROP TABLE IF EXISTS `t_user_1`;
CREATE TABLE `t_user_1` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '主键id',
`order_id` BIGINT(20) DEFAULT '0' COMMENT '顺序编号',
`user_id` BIGINT(20) DEFAULT '0' COMMENT '用户编号',
`user_name` varchar(32) DEFAULT NULL COMMENT '用户名',
`pass_word` varchar(32) DEFAULT NULL COMMENT '密码',
`nick_name` varchar(32) DEFAULT NULL COMMENT '倪名',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
POM配置
org.springframework.boot
spring-boot-starter
org.springframework.boot
spring-boot-devtools
runtime
true
org.projectlombok
lombok
true
org.springframework.boot
spring-boot-starter-test
test
com.dangdang
sharding-jdbc-core
1.5.4
com.alibaba
druid
1.1.3
commons-dbcp
commons-dbcp
1.4
mysql
mysql-connector-java
5.1.44
org.springframework.boot
spring-boot-starter-web
com.baomidou
mybatisplus-spring-boot-starter
${mybatisplus-spring-boot-starter.version}
com.baomidou
mybatis-plus
${mybatisplus.version}
org.apache.velocity
velocity
${velocity.version}
com.alibaba
fastjson
1.2.51
application.properties配置
spring.devtools.remote.restart.enabled=false
spring.jdbc1.type=com.alibaba.druid.pool.DruidDataSource
spring.jdbc1.driverClassName=com.mysql.jdbc.Driver
spring.jdbc1.url=jdbc:mysql://localhost:3306/mazhq?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8
spring.jdbc1.username=root
spring.jdbc1.password=123456
spring.jdbc1.connectionProperties=config.decrypt=true;druid.stat.slowSqlMillis=3000;druid.stat.logSlowSql=true;druid.stat.mergeSql=true
spring.jdbc1.filters=stat
spring.jdbc1.maxActive=100
spring.jdbc1.initialSize=1
spring.jdbc1.maxWait=15000
spring.jdbc1.minIdle=1
spring.jdbc1.timeBetweenEvictionRunsMillis=30000
spring.jdbc1.minEvictableIdleTimeMillis=180000
spring.jdbc1.validationQuery=SELECT 'x'
spring.jdbc1.testWhileIdle=true
spring.jdbc1.testOnBorrow=false
spring.jdbc1.testOnReturn=false
spring.jdbc1.poolPreparedStatements=false
spring.jdbc1.maxPoolPreparedStatementPerConnectionSize=20
spring.jdbc1.removeAbandoned=true
spring.jdbc1.removeAbandonedTimeout=600
spring.jdbc1.logAbandoned=false
spring.jdbc1.connectionInitSqls=
spring.jdbc2.type=com.alibaba.druid.pool.DruidDataSource
spring.jdbc2.driverClassName=com.mysql.jdbc.Driver
spring.jdbc2.url=jdbc:mysql://localhost:3306/liugh?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8
spring.jdbc2.username=root
spring.jdbc2.password=123456
spring.jdbc2.connectionProperties=config.decrypt=true;druid.stat.slowSqlMillis=3000;druid.stat.logSlowSql=true;druid.stat.mergeSql=true
spring.jdbc2.filters=stat
spring.jdbc2.maxActive=100
spring.jdbc2.initialSize=1
spring.jdbc2.maxWait=15000
spring.jdbc2.minIdle=1
spring.jdbc2.timeBetweenEvictionRunsMillis=30000
spring.jdbc2.minEvictableIdleTimeMillis=180000
spring.jdbc2.validationQuery=SELECT 'x'
spring.jdbc2.testWhileIdle=true
spring.jdbc2.testOnBorrow=false
spring.jdbc2.testOnReturn=false
spring.jdbc2.poolPreparedStatements=false
spring.jdbc2.maxPoolPreparedStatementPerConnectionSize=20
spring.jdbc2.removeAbandoned=true
spring.jdbc2.removeAbandonedTimeout=600
spring.jdbc2.logAbandoned=false
spring.jdbc2.connectionInitSqls=
mybatis-plus.mapper-locations=classpath:/com/mazhq/web/mapper/xml/*Mapper.xml
mybatis-plus.type-aliases-package=com.mazhq.web.entity
#1:数据库ID自增 2:用户输入id 3:全局唯一id(IdWorker) 4:全局唯一ID(uuid)
mybatis-plus.global-config.id-type=3
mybatis-plus.global-config.db-column-underline=true
mybatis-plus.global-config.refresh-mapper=true
mybatis-plus.configuration.map-underscore-to-camel-case=true
#配置的缓存的全局开关
mybatis-plus.configuration.cache-enabled=true
#延时加载的开关
mybatis-plus.configuration.lazy-loading-enabled=true
#开启的话，延时加载一个属性时会加载该对象全部属性，否则按需加载属性
mybatis-plus.configuration.multiple-result-sets-enabled=true
#打印sql语句,调试用
mybatis-plus.configuration.log-impl=org.apache.ibatis.logging.stdout.StdOutImpl
分库分表最主要有几个配置：
1. 有多少个数据源 (2个：database0和database1)
@Data
@ConfigurationProperties(prefix = "spring.jdbc1")
public class ShardDataSource1 {
private String driverClassName;
private String url;
private String username;
private String password;
private String filters;
private int maxActive;
private int initialSize;
private int maxWait;
private int minIdle;
private int timeBetweenEvictionRunsMillis;
private int minEvictableIdleTimeMillis;
private String validationQuery;
private boolean testWhileIdle;
private boolean testOnBorrow;
private boolean testOnReturn;
private boolean poolPreparedStatements;
private int maxPoolPreparedStatementPerConnectionSize;
private boolean removeAbandoned;
private int removeAbandonedTimeout;
private boolean logAbandoned;
private List connectionInitSqls;
private String connectionProperties;
}
2. 用什么列进行分库以及分库算法
/**
* @author mazhq
* @date 2019/8/7 17:23
*/
public class DataBaseShardingAlgorithm implements SingleKeyDatabaseShardingAlgorithm {
@Override
public String doEqualSharding(Collection databaseNames, ShardingValue shardingValue) {
for (String each : databaseNames) {
if (each.endsWith(Long.parseLong(shardingValue.getValue().toString()) % 2 + "")) {
return each;
}
}
throw new IllegalArgumentException();
}
@Override
public Collection doInSharding(Collection databaseNames, ShardingValue shardingValue) {
Collection result = new LinkedHashSet<>(databaseNames.size());
for (Long value : shardingValue.getValues()) {
for (String tableName : databaseNames) {
if (tableName.endsWith(value % 2 + "")) {
result.add(tableName);
}
}
}
return result;
}
@Override
public Collection doBetweenSharding(Collection databaseNames, ShardingValue shardingValue) {
Collection result = new LinkedHashSet<>(databaseNames.size());
Range range = (Range) shardingValue.getValueRange();
for (Long i = range.lowerEndpoint(); i <= range.upperEndpoint(); i++) {
for (String each : databaseNames) {
if (each.endsWith(i % 2 + "")) {
result.add(each);
}
}
}
return result;
}
}
3. 用什么列进行分表以及分表算法
/**
* @author mazhq
* @Title: TableShardingAlgorithm
* @date 2019/8/12 16:40
*/
public class TableShardingAlgorithm implements SingleKeyTableShardingAlgorithm {
@Override
public String doEqualSharding(Collection tableNames, ShardingValue shardingValue) {
for (String each : tableNames) {
if (each.endsWith(shardingValue.getValue() % 2 + "")) {
return each;
}
}
throw new IllegalArgumentException();
}
@Override
public Collection doInSharding(Collection tableNames, ShardingValue shardingValue) {
Collection result = new LinkedHashSet<>(tableNames.size());
for (Long value : shardingValue.getValues()) {
for (String tableName : tableNames) {
if (tableName.endsWith(value % 2 + "")) {
result.add(tableName);
}
}
}
return result;
}
@Override
public Collection doBetweenSharding(Collection tableNames, ShardingValue shardingValue) {
Collection result = new LinkedHashSet<>(tableNames.size());
Range range = (Range) shardingValue.getValueRange();
for (Long i = range.lowerEndpoint(); i <= range.upperEndpoint(); i++) {
for (String each : tableNames) {
if (each.endsWith(i % 2 + "")) {
result.add(each);
}
}
}
return result;
}
}
4. 每张表的逻辑表名和所有物理表名和集成调用
/**
* @author mazhq
* @Title: DataSourceConfig
* @date 2019/8/7 17:05
*/
@Configuration
@EnableTransactionManagement
@ConditionalOnClass(DruidDataSource.class)
@EnableConfigurationProperties({ShardDataSource1.class, ShardDataSource2.class})
public class DataSourceConfig {
@Autowired
private ShardDataSource1 dataSource1;
@Autowired
private ShardDataSource2 dataSource2;
/**
* 配置数据源0，数据源的名称最好要有一定的规则，方便配置分库的计算规则
* @return
*/
private DataSource db1() throws SQLException {
return this.getDB1(dataSource1);
}
/**
* 配置数据源1，数据源的名称最好要有一定的规则，方便配置分库的计算规则
* @return
*/
private DataSource db2() throws SQLException {
return this.getDB2(dataSource2);
}
/**
* 配置数据源规则，即将多个数据源交给sharding-jdbc管理，并且可以设置默认的数据源，
* 当表没有配置分库规则时会使用默认的数据源
* @return
*/
@Bean
public DataSourceRule dataSourceRule() throws SQLException {
Map dataSourceMap = new HashMap<>();
dataSourceMap.put("dataSource0", this.db1());
dataSourceMap.put("dataSource1", this.db2());
return new DataSourceRule(dataSourceMap, "dataSource0");
}
/**
* 配置数据源策略和表策略，具体策略需要自己实现
* @param dataSourceRule
* @return
*/
@Bean
public ShardingRule shardingRule(@Qualifier("dataSourceRule") DataSourceRule dataSourceRule){
//具体分库分表策略
TableRule orderTableRule = TableRule.builder("t_user")
.actualTables(Arrays.asList("t_user_0", "t_user_1"))
.tableShardingStrategy(new TableShardingStrategy("order_id", new TableShardingAlgorithm()))
.dataSourceRule(dataSourceRule)
.build();
//绑定表策略，在查询时会使用主表策略计算路由的数据源，因此需要约定绑定表策略的表的规则需要一致，可以一定程度提高效率
List bindingTableRuleList = new ArrayList();
bindingTableRuleList.add(new BindingTableRule(Arrays.asList(orderTableRule)));
return ShardingRule.builder().dataSourceRule(dataSourceRule)
.tableRules(Arrays.asList(orderTableRule))
.bindingTableRules(bindingTableRuleList)
.databaseShardingStrategy(new DatabaseShardingStrategy("user_id", new DataBaseShardingAlgorithm()))
.tableShardingStrategy(new TableShardingStrategy("order_id", new TableShardingAlgorithm()))
.build();
}
/**
* 创建sharding-jdbc的数据源DataSource，MybatisAutoConfiguration会使用此数据源
* @param shardingRule
* @return
* @throws SQLException
*/
@Bean
public DataSource shardingDataSource(@Qualifier("shardingRule") ShardingRule shardingRule) throws SQLException {
return ShardingDataSourceFactory.createDataSource(shardingRule);
}
private DruidDataSource getDB1(ShardDataSource1 shardDataSource1) throws SQLException {
DruidDataSource ds = new DruidDataSource();
ds.setDriverClassName(shardDataSource1.getDriverClassName());
ds.setUrl(shardDataSource1.getUrl());
ds.setUsername(shardDataSource1.getUsername());
ds.setPassword(shardDataSource1.getPassword());
ds.setFilters(shardDataSource1.getFilters());
ds.setMaxActive(shardDataSource1.getMaxActive());
ds.setInitialSize(shardDataSource1.getInitialSize());
ds.setMaxWait(shardDataSource1.getMaxWait());
ds.setMinIdle(shardDataSource1.getMinIdle());
ds.setTimeBetweenEvictionRunsMillis(shardDataSource1.getTimeBetweenEvictionRunsMillis());
ds.setMinEvictableIdleTimeMillis(shardDataSource1.getMinEvictableIdleTimeMillis());
ds.setValidationQuery(shardDataSource1.getValidationQuery());
ds.setTestWhileIdle(shardDataSource1.isTestWhileIdle());
ds.setTestOnBorrow(shardDataSource1.isTestOnBorrow());
ds.setTestOnReturn(shardDataSource1.isTestOnReturn());
ds.setPoolPreparedStatements(shardDataSource1.isPoolPreparedStatements());
ds.setMaxPoolPreparedStatementPerConnectionSize(
shardDataSource1.getMaxPoolPreparedStatementPerConnectionSize());
ds.setRemoveAbandoned(shardDataSource1.isRemoveAbandoned());
ds.setRemoveAbandonedTimeout(shardDataSource1.getRemoveAbandonedTimeout());
ds.setLogAbandoned(shardDataSource1.isLogAbandoned());
ds.setConnectionInitSqls(shardDataSource1.getConnectionInitSqls());
ds.setConnectionProperties(shardDataSource1.getConnectionProperties());
return ds;
}
private DruidDataSource getDB2(ShardDataSource2 shardDataSource2) throws SQLException {
DruidDataSource ds = new DruidDataSource();
ds.setDriverClassName(shardDataSource2.getDriverClassName());
ds.setUrl(shardDataSource2.getUrl());
ds.setUsername(shardDataSource2.getUsername());
ds.setPassword(shardDataSource2.getPassword());
ds.setFilters(shardDataSource2.getFilters());
ds.setMaxActive(shardDataSource2.getMaxActive());
ds.setInitialSize(shardDataSource2.getInitialSize());
ds.setMaxWait(shardDataSource2.getMaxWait());
ds.setMinIdle(shardDataSource2.getMinIdle());
ds.setTimeBetweenEvictionRunsMillis(shardDataSource2.getTimeBetweenEvictionRunsMillis());
ds.setMinEvictableIdleTimeMillis(shardDataSource2.getMinEvictableIdleTimeMillis());
ds.setValidationQuery(shardDataSource2.getValidationQuery());
ds.setTestWhileIdle(shardDataSource2.isTestWhileIdle());
ds.setTestOnBorrow(shardDataSource2.isTestOnBorrow());
ds.setTestOnReturn(shardDataSource2.isTestOnReturn());
ds.setPoolPreparedStatements(shardDataSource2.isPoolPreparedStatements());
ds.setMaxPoolPreparedStatementPerConnectionSize(
shardDataSource2.getMaxPoolPreparedStatementPerConnectionSize());
ds.setRemoveAbandoned(shardDataSource2.isRemoveAbandoned());
ds.setRemoveAbandonedTimeout(shardDataSource2.getRemoveAbandonedTimeout());
ds.setLogAbandoned(shardDataSource2.isLogAbandoned());
ds.setConnectionInitSqls(shardDataSource2.getConnectionInitSqls());
ds.setConnectionProperties(shardDataSource2.getConnectionProperties());
return ds;
}
}
接口测试代码
entity层
User.java
@Data
@TableName("t_user")
public class User extends Model {
private static final long serialVersionUID = 1L;
/**
* 主键id
*/
@TableId(value = "id", type = IdType.AUTO)
private Long id;
/**
* 顺序编号
*/
@TableField("order_id")
private Long orderId;
/**
* 用户编号
*/
@TableField("user_id")
private Long userId;
/**
* 用户名
*/
@TableField("user_name")
private String userName;
/**
* 密码
*/
@TableField("pass_word")
private String passWord;
/**
* 倪名
*/
@TableField("nick_name")
private String nickName;
@Override
protected Serializable pkVal() {
return this.id;
}
@Override
public String toString() {
return "User{" +
"id=" + id +
", orderId=" + orderId +
", userId=" + userId +
", userName=" + userName +
", passWord=" + passWord +
", nickName=" + nickName +
"}";
}
}
mapper层
User.xml
id, order_id AS orderId, user_id AS userId, user_name AS userName, pass_word AS passWord, nick_name AS nickName
UserMapper.java
/**
*
* Mapper 接口
*
*
* @author mazhq123
* @since 2019-08-20
*/
public interface UserMapper extends BaseMapper {
}
service层
IUserService.java
/**
*
* 服务类
*
*
* @author mazhq123
* @since 2019-08-20
*/
public interface IUserService extends IService {
}
UserServiceImpl.java
/**
*
* 服务实现类
*
*
* @author mazhq123
* @since 2019-08-20
*/
@Service
public class UserServiceImpl extends ServiceImpl implements IUserService {
}
controller层
UserController.java
/**
*
* 前端控制器
*
* @author mazhq123
* @since 2019-08-20
*/
@RestController
@RequestMapping("/web/user")
public class UserController {
@Autowired
IUserService userService;
@RequestMapping("/save")
public String save(){
User user2 = new User();
for (int i = 0; i < 40; i++) {
user2.setId((long)i);
user2.setUserId((long)i);
Random r = new Random();
user2.setOrderId((long)r.nextInt(100));
user2.setNickName("owenma"+i);
user2.setPassWord("password"+i);
user2.setUserName("userName"+i);
userService.insert(user2);
}
return "success";
}
@RequestMapping("/findAll")
public String findAll(){
Wrapper userWrapper = new Wrapper() {
@Override
public String getSqlSegment() {
return "order by order_id desc";
}
};
return JSONObject.toJSONString(userService.selectList(userWrapper));
}
}
测试方式：
先新增： http://localhost:8080/web/user/save
再查询： http://localhost:8080/web/user/findAll