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); } }