这篇文章主要介绍springboot + mybatis + mysql + sharding-jdbc如何实现分库分表,文中介绍的非常详细,具有一定的参考价值,感兴趣的小伙伴们一定要看完!
mybatis.config-locations=classpath:mybatis/mybatis-config.xml
#datasource
spring.devtools.remote.restart.enabled=false
#data source1
spring.datasource.test1.driverClassName=com.mysql.jdbc.Driver
spring.datasource.test1.jdbcUrl=jdbc:mysql://127.0.0.1:3306/test_msg1?serverTimezone=UTC
spring.datasource.test1.username=root
spring.datasource.test1.password=123456
#data source2
spring.datasource.test2.driverClassName=com.mysql.jdbc.Driver
spring.datasource.test2.jdbcUrl=jdbc:mysql://127.0.0.1:3306/test_msg2?serverTimezone=UTC
spring.datasource.test2.username=root
spring.datasource.test2.password=123456
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for t_order_0
-- ----------------------------
DROP TABLE IF EXISTS `t_order_0`;
CREATE TABLE `t_order_0` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '主键id',
`order_id` varchar(32) DEFAULT NULL COMMENT '顺序编号',
`user_id` varchar(32) DEFAULT NULL COMMENT '用户编号',
`userName` varchar(32) DEFAULT NULL COMMENT '用户名',
`passWord` varchar(32) DEFAULT NULL COMMENT '密码',
`nick_name` varchar(32) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=30 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Table structure for t_order_1
-- ----------------------------
DROP TABLE IF EXISTS `t_order_1`;
CREATE TABLE `t_order_1` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '主键id',
`order_id` varchar(32) DEFAULT NULL COMMENT '顺序编号',
`user_id` varchar(32) DEFAULT NULL COMMENT '用户编号',
`userName` varchar(32) DEFAULT NULL COMMENT '用户名',
`passWord` varchar(32) DEFAULT NULL COMMENT '密码',
`nick_name` varchar(32) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=28 DEFAULT CHARSET=utf8;
@Configuration
@MapperScan(basePackages = "com.example.shardingjdbc.mapper", sqlSessionTemplateRef = "test1SqlSessionTemplate")
public class DataSourceConfig {
/**
* 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
*/
@Bean(name="dataSource0")
@ConfigurationProperties(prefix = "spring.datasource.test1")
public DataSource dataSource0(){
return DataSourceBuilder.create().build();
}
/**
* 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
*/
@Bean(name="dataSource1")
@ConfigurationProperties(prefix = "spring.datasource.test2")
public DataSource dataSource1(){
return DataSourceBuilder.create().build();
}
/**
* 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
* @param dataSource0
* @param dataSource1
* @return
*/
@Bean
public DataSourceRule dataSourceRule(@Qualifier("dataSource0") DataSource dataSource0,
@Qualifier("dataSource1") DataSource dataSource1){
Map<String, DataSource> dataSourceMap = new HashMap<>(); //设置分库映射
dataSourceMap.put("dataSource0", dataSource0);
dataSourceMap.put("dataSource1", dataSource1);
return new DataSourceRule(dataSourceMap, "dataSource0"); //设置默认库,两个库以上时必须设置默认库。默认库的数据源名称必须是dataSourceMap的key之一
}
/**
* 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(DataSourceRule dataSourceRule){
//具体分库分表策略
TableRule orderTableRule = TableRule.builder("t_order")
.actualTables(Arrays.asList("t_order_0", "t_order_1"))
.tableShardingStrategy(new TableShardingStrategy("order_id", new ModuloTableShardingAlgorithm()))
.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<BindingTableRule> bindingTableRules = new ArrayList<BindingTableRule>();
bindingTableRules.add(new BindingTableRule(Arrays.asList(orderTableRule)));
return ShardingRule.builder()
.dataSourceRule(dataSourceRule)
.tableRules(Arrays.asList(orderTableRule))
.bindingTableRules(bindingTableRules)
.databaseShardingStrategy(new DatabaseShardingStrategy("user_id", new ModuloDatabaseShardingAlgorithm()))
.tableShardingStrategy(new TableShardingStrategy("order_id", new ModuloTableShardingAlgorithm()))
.build();
}
/**
* 创建sharding-jdbc的数据源DataSource,MybatisAutoConfiguration会使用此数据源
* @param shardingRule
* @return
* @throws SQLException
*/
@Bean(name="dataSource")
public DataSource shardingDataSource(ShardingRule shardingRule) throws SQLException {
return ShardingDataSourceFactory.createDataSource(shardingRule);
}
/**
* 需要手动配置事务管理器
* @param dataSource
* @return
*/
@Bean
public DataSourceTransactionManager transactitonManager(@Qualifier("dataSource") DataSource dataSource){
return new DataSourceTransactionManager(dataSource);
}
@Bean(name = "test1SqlSessionFactory")
@Primary
public SqlSessionFactory testSqlSessionFactory(@Qualifier("dataSource") DataSource dataSource) throws Exception {
SqlSessionFactoryBean bean = new SqlSessionFactoryBean();
bean.setDataSource(dataSource);
bean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources("classpath:mybatis/*.xml"));
return bean.getObject();
}
@Bean(name = "test1SqlSessionTemplate")
@Primary
public SqlSessionTemplate testSqlSessionTemplate(@Qualifier("test1SqlSessionFactory") SqlSessionFactory sqlSessionFactory) throws Exception {
return new SqlSessionTemplate(sqlSessionFactory);
}
}
public class ModuloDatabaseShardingAlgorithm implements SingleKeyDatabaseShardingAlgorithm<Long> {
@Override
public String doEqualSharding(Collection<String> databaseNames, ShardingValue<Long> shardingValue) {
for (String each : databaseNames) {
if (each.endsWith(Long.parseLong(shardingValue.getValue().toString()) % 2 + "")) {
return each;
}
}
throw new IllegalArgumentException();
}
@Override
public Collection<String> doInSharding(Collection<String> databaseNames, ShardingValue<Long> shardingValue) {
Collection<String> 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<String> doBetweenSharding(Collection<String> databaseNames, ShardingValue<Long> shardingValue) {
Collection<String> result = new LinkedHashSet<>(databaseNames.size());
Range<Long> range = (Range<Long>) 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;
}
}
public class ModuloTableShardingAlgorithm implements SingleKeyTableShardingAlgorithm<Long> {
@Override
public String doEqualSharding(Collection<String> tableNames, ShardingValue<Long> shardingValue) {
for (String each : tableNames) {
if (each.endsWith(shardingValue.getValue() % 2 + "")) {
return each;
}
}
throw new IllegalArgumentException();
}
@Override
public Collection<String> doInSharding(Collection<String> tableNames, ShardingValue<Long> shardingValue) {
Collection<String> 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<String> doBetweenSharding(Collection<String> tableNames, ShardingValue<Long> shardingValue) {
Collection<String> result = new LinkedHashSet<>(tableNames.size());
Range<Long> range = (Range<Long>) 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;
}
}
@SpringBootApplication
@EnableAutoConfiguration(exclude={DataSourceAutoConfiguration.class}) //排除DataSourceConfiguratrion
@EnableTransactionManagement(proxyTargetClass = true) //开启事物管理功能
public class ShardingJdbcApplication {
public static void main(String[] args) {
SpringApplication.run(ShardingJdbcApplication.class, args);
}
}
@Service
@RestController
public class UserController {
@Autowired
private UserService userService;
/**
* 测试新增
* @param id
* @param user_id
* @param order_id
* @param nickName
* @param passWord
* @param userName
* @return
* http://localhost:8080/update1?id=1&user_id=1&order_id=1&nickName=%E5%BC%A0%E4%B8%89&passWord=123456&userName=%E7%94%A8%E6%88%B71
*/
@RequestMapping(value="update1")
public String updateTransactional(@RequestParam(value = "id") Long id,
@RequestParam(value = "user_id") Long user_id,
@RequestParam(value = "order_id") Long order_id,
@RequestParam(value = "nickName") String nickName,
@RequestParam(value = "passWord") String passWord,
@RequestParam(value = "userName") String userName
) {
User user2 = new User();
user2.setId(id);
user2.setUser_id(user_id);
user2.setOrder_id(order_id);
user2.setNick_name(nickName);
user2.setPassWord(passWord);
user2.setUserName(userName);
userService.insert(user2);
return "success";
}
}
以上是“springboot + mybatis + mysql + sharding-jdbc如何实现分库分表”这篇文章的所有内容,感谢各位的阅读!希望分享的内容对大家有帮助,更多相关知识,欢迎关注亿速云行业资讯频道!
亿速云「云数据库 MySQL」免部署即开即用,比自行安装部署数据库高出1倍以上的性能,双节点冗余防止单节点故障,数据自动定期备份随时恢复。点击查看>>
免责声明:本站发布的内容(图片、视频和文字)以原创、转载和分享为主,文章观点不代表本网站立场,如果涉及侵权请联系站长邮箱:is@yisu.com进行举报,并提供相关证据,一经查实,将立刻删除涉嫌侵权内容。
原文链接:https://my.oschina.net/u/4034639/blog/3079441