• ShardingSphere-proxy-5.0.0容量范围分片的实现(五)


    一、修改配置文件config-sharding.yaml,并重启服务

    复制代码
    #
    # Licensed to the Apache Software Foundation (ASF) under one or more
    # contributor license agreements.  See the NOTICE file distributed with
    # this work for additional information regarding copyright ownership.
    # The ASF licenses this file to You under the Apache License, Version 2.0
    # (the "License"); you may not use this file except in compliance with
    # the License.  You may obtain a copy of the License at
    #
    #     http://www.apache.org/licenses/LICENSE-2.0
    #
    # Unless required by applicable law or agreed to in writing, software
    # distributed under the License is distributed on an "AS IS" BASIS,
    # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    # See the License for the specific language governing permissions and
    # limitations under the License.
    #
    
    ######################################################################################################
    # 
    # Here you can configure the rules for the proxy.
    # This example is configuration of sharding rule.
    # 
    ######################################################################################################
    #
    #schemaName: sharding_db
    #
    #dataSources:
    #  ds_0:
    #    url: jdbc:postgresql://127.0.0.1:5432/demo_ds_0
    #    username: postgres
    #    password: postgres
    #    connectionTimeoutMilliseconds: 30000
    #    idleTimeoutMilliseconds: 60000
    #    maxLifetimeMilliseconds: 1800000
    #    maxPoolSize: 50
    #    minPoolSize: 1
    #  ds_1:
    #    url: jdbc:postgresql://127.0.0.1:5432/demo_ds_1
    #    username: postgres
    #    password: postgres
    #    connectionTimeoutMilliseconds: 30000
    #    idleTimeoutMilliseconds: 60000
    #    maxLifetimeMilliseconds: 1800000
    #    maxPoolSize: 50
    #    minPoolSize: 1
    #
    #rules:
    #- !SHARDING
    #  tables:
    #    t_order:
    #      actualDataNodes: ds_${0..1}.t_order_${0..1}
    #      tableStrategy:
    #        standard:
    #          shardingColumn: order_id
    #          shardingAlgorithmName: t_order_inline
    #      keyGenerateStrategy:
    #          column: order_id
    #          keyGeneratorName: snowflake
    #    t_order_item:
    #      actualDataNodes: ds_${0..1}.t_order_item_${0..1}
    #      tableStrategy:
    #        standard:
    #          shardingColumn: order_id
    #          shardingAlgorithmName: t_order_item_inline
    #      keyGenerateStrategy:
    #        column: order_item_id
    #        keyGeneratorName: snowflake
    #  bindingTables:
    #    - t_order,t_order_item
    #  defaultDatabaseStrategy:
    #    standard:
    #      shardingColumn: user_id
    #      shardingAlgorithmName: database_inline
    #  defaultTableStrategy:
    #    none:
    #  
    #  shardingAlgorithms:
    #    database_inline:
    #      type: INLINE
    #      props:
    #        algorithm-expression: ds_${user_id % 2}
    #    t_order_inline:
    #      type: INLINE
    #      props:
    #        algorithm-expression: t_order_${order_id % 2}
    #    t_order_item_inline:
    #      type: INLINE
    #      props:
    #        algorithm-expression: t_order_item_${order_id % 2}
    #  
    #  keyGenerators:
    #    snowflake:
    #      type: SNOWFLAKE
    #      props:
    #        worker-id: 123
    
    ######################################################################################################
    #
    # If you want to connect to MySQL, you should manually copy MySQL driver to lib directory.
    #
    ######################################################################################################
    
    # 连接mysql所使用的数据库名
     schemaName: MyDb
    
     dataSources:
      ds_0:
        url: jdbc:mysql://127.0.0.1:3306/MyDb?serverTimezone=UTC&useSSL=false
        username: root # 数据库用户名
        password: mysql123  # 登录密码
        connectionTimeoutMilliseconds: 30000
        idleTimeoutMilliseconds: 60000
        maxLifetimeMilliseconds: 1800000
        maxPoolSize: 50
        minPoolSize: 1
    #  ds_1:
    #    url: jdbc:mysql://127.0.0.1:3306/demo_ds_1?serverTimezone=UTC&useSSL=false
    #    username: root
    #    password:
    #    connectionTimeoutMilliseconds: 30000
    #    idleTimeoutMilliseconds: 60000
    #    maxLifetimeMilliseconds: 1800000
    #    maxPoolSize: 50
    #    minPoolSize: 1
    #
    # 规则
     rules:
     - !SHARDING
       tables:
         t_product: #需要进行分表的表名
           actualDataNodes: ds_0.t_product_${0..1} # 表达式,将表分为t_product_0 , t_product_1
           tableStrategy:
            standard:
               shardingColumn: product_id # 字段名
               shardingAlgorithmName: t_product_VOLUME_RANGE
           keyGenerateStrategy:
             column: id
             keyGeneratorName: snowflake #雪花算法
    #    t_order_item:
    #      actualDataNodes: ds_${0..1}.t_order_item_${0..1}
    #      tableStrategy:
    #        standard:
    #          shardingColumn: order_id
    #          shardingAlgorithmName: t_order_item_inline
    #      keyGenerateStrategy:
    #        column: order_item_id
    #        keyGeneratorName: snowflake
    #  bindingTables:
    #    - t_order,t_order_item
    #  defaultDatabaseStrategy:
    #    standard:
    #      shardingColumn: user_id
    #      shardingAlgorithmName: database_inline
    #  defaultTableStrategy:
    #    none:
    #  
       shardingAlgorithms:
         t_product_VOLUME_RANGE: # 取模名称,可自定义
           type: VOLUME_RANGE # 取模算法
           props:
             range-lower: '5' # 最小容量为5条数据,仅方便测试
             range-upper: '10' #最大容量为10条数据,仅方便测试
             sharding-volume: '5' #分片的区间的数据的间隔
    #    t_order_inline:
    #      type: INLINE
    #      props:
    #        algorithm-expression: t_order_${order_id % 2}
    #    t_order_item_inline:
    #      type: INLINE
    #      props:
    #        algorithm-expression: t_order_item_${order_id % 2}
    #  
       keyGenerators:
         snowflake: # 雪花算法名称,自定义名称
           type: SNOWFLAKE
           props:
             worker-id: 123
    复制代码

     

     

    二、数据准备

    复制代码
    -- 创建表
    SET NAMES utf8mb4;
    SET FOREIGN_KEY_CHECKS = 0;
    
    -- ----------------------------
    -- Table structure for t_product_0
    -- ----------------------------
    DROP TABLE IF EXISTS `t_product`;
    CREATE TABLE `t_product_0`  (
      `id` varchar(225) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL,
      `product_id` int(11) NOT NULL,
      `product_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL,
      PRIMARY KEY (`id`, `product_id`) USING BTREE
    ) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;
    
    SET FOREIGN_KEY_CHECKS = 1;
    
    
    -- 插入表数据
    INSERT INTO t_product(product_id,product_name) VALUES(1,'one');
    INSERT INTO t_product(product_id,product_name) VALUES(2,'two');
    INSERT INTO t_product(product_id,product_name) VALUES(3,'three');
    INSERT INTO t_product(product_id,product_name) VALUES(4,'four');
    INSERT INTO t_product(product_id,product_name) VALUES(5,'five');
    INSERT INTO t_product(product_id,product_name) VALUES(6,'six');
    INSERT INTO t_product(product_id,product_name) VALUES(7,'seven');
    复制代码

    三、查看数据

    1、查看shardingsphere中间件t_product表数据

     

     

    2、查看t_product_0、t_product_1表数据,同时对数据进行了分表存储(因为配置文件中有做分表和雪花id生成配置)

     

     

     

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  • 原文地址:https://www.cnblogs.com/sportsky/p/16407097.html