ShardingSphere-proxy-5.0.0分布式哈希取模分片实现(四)

一、说明

主要是对字符串的字段进行hash取模

二、修改配置文件config-sharding.yaml，并重启服务

#
# 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_${0..1} # 表达式，将表分为t_product_0 , t_product_1
       tableStrategy:
        standard:
           shardingColumn: product_name # 字段名
           shardingAlgorithmName: t_product_HASH_MOD
       keyGenerateStrategy:
         column: id
         keyGeneratorName: snowflake #雪花算法
#    t_order_item:
#      actualDataNodes: ds_${0..1}.t_order_item_${0..1}
#      tableStrategy:
#        standard:
#          shardingColumn: order_id
#          shardingAlgorithmName: t_order_item_inline
#      keyGenerateStrategy:
#        column: order_item_id
#        keyGeneratorName: snowflake
#  bindingTables:
#    - t_order,t_order_item
#  defaultDatabaseStrategy:
#    standard:
#      shardingColumn: user_id
#      shardingAlgorithmName: database_inline
#  defaultTableStrategy:
#    none:
#
   shardingAlgorithms:
     t_product_HASH_MOD: # 取模名称，可自定义
       type: HASH_MOD # 取模算法
       props:
         sharding-count: '2' # 分片数量，因为分了2个表，所以这里是2
#    t_order_inline:
#      type: INLINE
#      props:
#        algorithm-expression: t_order_${order_id % 2}
#    t_order_item_inline:
#      type: INLINE
#      props:
#        algorithm-expression: t_order_item_${order_id % 2}
#
   keyGenerators:
     snowflake: # 雪花算法名称，自定义名称
       type: SNOWFLAKE
       props:
         worker-id: 123

三、数据准备

-- 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(3,'apple');
INSERT INTO t_product(product_id,product_name) VALUES(2,'iphone');

四、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配置)