一台基础库映射(shard_one) 两台库做分库分表(shard_two,shard_three)。 表使用:table_one,table_two
数据源配置文件
数据库分库策略
/**
* 数据库映射计算
*/
public class DataSourceAlg implements PreciseShardingAlgorithm<string> {
private static Logger LOG = LoggerFactory.getLogger(DataSourceAlg.class);
@Override
public String doSharding(Collection<string> names, PreciseShardingValue<string> value) {
LOG.debug("分库算法参数 {},{}",names,value);
int hash = HashUtil.rsHash(String.valueOf(value.getValue()));
return "ds_" + ((hash % 2) + 2) ;
}
}
数据表1分表策略
/**
* 分表算法
*/
public class TableOneAlg implements PreciseShardingAlgorithm<string> {
private static Logger LOG = LoggerFactory.getLogger(TableOneAlg.class);
/**
* 该表每个库分5张表
*/
@Override
public String doSharding(Collection<string> names, PreciseShardingValue<string> value) {
LOG.debug("分表算法参数 {},{}",names,value);
int hash = HashUtil.rsHash(String.valueOf(value.getValue()));
return "table_one_" + (hash % 5+1);
}
}
数据表2分表策略
/**
* 分表算法
*/
public class TableTwoAlg implements PreciseShardingAlgorithm<string> {
private static Logger LOG = LoggerFactory.getLogger(TableTwoAlg.class);
/**
* 该表每个库分5张表
*/
@Override
public String doSharding(Collection<string> names, PreciseShardingValue<string> value) {
LOG.debug("分表算法参数 {},{}",names,value);
int hash = HashUtil.rsHash(String.valueOf(value.getValue()));
return "table_two_" + (hash % 5+1);
}
}
数据源集成配置
/**
* 数据库分库分表配置
*/
@Configuration
public class ShardJdbcConfig {
// 省略了 druid 配置,源码中有
/**
* Shard-JDBC 分库配置
*/
@Bean
public DataSource dataSource (@Autowired DruidDataSource dataOneSource,
@Autowired DruidDataSource dataTwoSource,
@Autowired DruidDataSource dataThreeSource) throws Exception {
ShardingRuleConfiguration shardJdbcConfig = new ShardingRuleConfiguration();
shardJdbcConfig.getTableRuleConfigs().add(getTableRule01());
shardJdbcConfig.getTableRuleConfigs().add(getTableRule02());
shardJdbcConfig.setDefaultDataSourceName("ds_0");
Map<string,datasource> dataMap = new LinkedHashMap<>();
dataMap.put("ds_0",dataOneSource);
dataMap.put("ds_2",dataTwoSource);
dataMap.put("ds_3",dataThreeSource);
Properties prop = new Properties();
return ShardingDataSourceFactory.createDataSource(dataMap, shardJdbcConfig, new HashMap<>(), prop);
}
/**
* Shard-JDBC 分表配置
*/
private static TableRuleConfiguration getTableRule01() {
TableRuleConfiguration result = new TableRuleConfiguration();
result.setLogicTable("table_one");
result.setActualDataNodes("ds_${2..3}.table_one_${1..5}");
result.setDatabaseShardingStrategyConfig(new StandardShardingStrategyConfiguration("phone", new DataSourceAlg()));
result.setTableShardingStrategyConfig(new StandardShardingStrategyConfiguration("phone", new TableOneAlg()));
return result;
}
private static TableRuleConfiguration getTableRule02() {
TableRuleConfiguration result = new TableRuleConfiguration();
result.setLogicTable("table_two");
result.setActualDataNodes("ds_${2..3}.table_two_${1..5}");
result.setDatabaseShardingStrategyConfig(new StandardShardingStrategyConfiguration("phone", new DataSourceAlg()));
result.setTableShardingStrategyConfig(new StandardShardingStrategyConfiguration("phone", new TableTwoAlg()));
return result;
}
}
测试代码执行流程
@RestController
public class ShardController {
@Resource
private ShardService shardService ;
/**
* 1、建表流程
*/
@RequestMapping("/createTable")
public String createTable (){
shardService.createTable();
return "success" ;
}
/**
* 2、生成表 table_one 数据
*/
@RequestMapping("/insertOne")
public String insertOne (){
shardService.insertOne();
return "SUCCESS" ;
}
/**
* 3、生成表 table_two 数据
*/
@RequestMapping("/insertTwo")
public String insertTwo (){
shardService.insertTwo();
return "SUCCESS" ;
}
/**
* 4、查询表 table_one 数据
*/
@RequestMapping("/selectOneByPhone/{phone}")
public TableOne selectOneByPhone (@PathVariable("phone") String phone){
return shardService.selectOneByPhone(phone);
}
/**
* 5、查询表 table_one 数据
*/
@RequestMapping("/selectTwoByPhone/{phone}")
public TableTwo selectTwoByPhone (@PathVariable("phone") String phone){
return shardService.selectTwoByPhone(phone);
}
}