sharding-proxy自定义规则

前言

实际开发中，分片规则有可能我们是自定义的，这个时候我们怎么让sharding-proxy读到我们自己分片规则，其实sharding-proxy是做了spi机制的，

允许我们扩展规则的。

这个分片规则是参考之前github给出的分片规则，链接为 https://github.com/fafeidou/fast-cloud-nacos/blob/master/fast-common-examples/fast-common-sharding-simple-example/

有些步骤省略，需查看上篇博客。

搭建步骤

编写规则，打成jar包

pom依赖

		
            org.apache.shardingsphere
            sharding-jdbc-core
            4.0.0-RC1
        
        
            org.projectlombok
            lombok
            1.18.10
            provided
        

自定义分片规则

1. ShardingDbUtil，分片策略工具类

public class ShardingDbUtil {

    /**
     * 根据逻辑库名和index，返回实际的库名
     */
    public static String getActualDatabaseName(String logicalDatabaseName, Integer index) {
        return logicalDatabaseName + "_" + index;
    }

    /**
     * 根据用户信息和DB个数，计算实际库的编号
     */
    public static int getActualDatabaseIndex(Long shardingInfo, int dbNum) {
        return (RSHash(shardingInfo.toString())) % dbNum;
    }

    /**
     * 根据逻辑表名和index，返回实际的表名
     */
    public static String getActualTableName(String logicalTableName, Integer index) {
        return logicalTableName + "_" + index;
    }

    /**
     * 根据用户信息和DB个数，计算实际表的编号
     */
    public static int getActualTableIndex(Long shardingInfo, int tableNum) {
        return (intHash(shardingInfo.intValue())) % tableNum + 1;
    }

    public static int RSHash(String str) {
        int b = 378551;
        int a = 63689;
        int hash = 0;
        for (int i = 0; i < str.length(); i++) {
            hash = hash * a + str.charAt(i);
            a = a * b;
        }
        return Math.abs(hash & 0x7FFFFFFF);
    }

    public static int intHash(int key) {
        key += ~(key << 15);
        key ^= (key >>> 10);
        key += (key << 3);
        key ^= (key >>> 6);
        key += ~(key << 11);
        key ^= (key >>> 16);
        return Math.abs(key);
    }

    /**
     * 拼接分片后的库和表的id，用于存储
     */
    public static String getShardingMeta(Long shardingInfo, int dbNum, int tableNum) {
        Integer dbIndex = getActualDatabaseIndex(shardingInfo, dbNum);
        Integer tableIndex = getActualTableIndex(shardingInfo, tableNum);
        return dbIndex.toString() + "," + tableIndex.toString();
    }

2. 实现PreciseShardingAlgorithm类OrderShardingAlgorithm

@Slf4j
public class OrderShardingAlgorithm implements PreciseShardingAlgorithm {

    /**
     * 实际数据库/表的模板.
     */
    private static final String ACTUAL_TARGET_TEMPLATE = "%s_%d";
    private static final Long DATABASE_NUM = 1L;

    Integer TABLE_NUM = 2;

    /**
     * Sharding.
     *
     * @param availableTargetNames available data sources or tables's names
     * @param shardingValue sharding value
     * @return sharding result for data source or table's name
     */
    @Override
    public String doSharding(Collection availableTargetNames, PreciseShardingValue shardingValue) {
        if (availableTargetNames.stream().findFirst().get().startsWith(shardingValue.getLogicTableName())) {
            // 表路由匹配
            int tableIndex = ShardingDbUtil.getActualTableIndex(shardingValue.getValue(), TABLE_NUM);
            String targetNode = String.format(ACTUAL_TARGET_TEMPLATE, shardingValue.getLogicTableName(), tableIndex);
            log.info("sharding table: {}", targetNode);
            return targetNode;
        } else {
            // 库路由匹配
            long databaseIndex = shardingValue.getValue() % DATABASE_NUM + 1;
            String targetNode = String
                .format(ACTUAL_TARGET_TEMPLATE, "order_db", databaseIndex);
            log.info("sharding database: {}", targetNode);
            return targetNode;
        }
    }
}

3. 将该项目打成jar包

   mvn clean package
   

4. 将jar包丢到proxy的lib目录下

5. 修改配置config-sharding.yml

schemaName: sharding_db  # 数据库名字

dataSources:
  order_db_1: #数据源别名，多个往下边追加
    url:  jdbc:mysql://192.168.56.121:33065/order_db_1?useUnicode=true
    username: root
    password: root
    connectionTimeoutMilliseconds: 30000
    idleTimeoutMilliseconds: 60000
    maxLifetimeMilliseconds: 1800000
    maxPoolSize: 50

shardingRule: #分库分表的规则
  tables: # 多个表就往下边追加
    t_order: # 逻辑表的名字
      actualDataNodes: order_db_1.t_order_$->{1..2}   #实际执行的节点
      databaseStrategy:
        standard:
          shardingColumn: order_id  #分表字段
          preciseAlgorithmClassName: com.algorithm.OrderShardingAlgorithm  #分表规则
      keyGenerator:
        type: SNOWFLAKE #分布式主键类型
        column: order_id  # 分布式主键
  bindingTables:
    - t_order  #  哪些表需要分库分表
  defaultDatabaseStrategy:
    none:
  defaultTableStrategy:
    none:

启动

cd  ../bin
./start.sh
tail -f  ../logs/stdout.log