ShardingSphere-proxy-5.0.0建立mysql读写分离的连接(六)

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羽尘
羽尘 2022-06-28 00:01:07
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ShardingSphere-proxy-5.0.0建立mysql读写分离的连接(六)

一、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_${order_id % 2}#  #  keyGenerators:#    snowflake:#      type: SNOWFLAKE#      props:#        worker-id: 123######################################################################################################## If you want to connect to MySQL, you should manually copy MySQL driver to lib directory.######################################################################################################## 连接mysql所使用的数据库名 schemaName: MyDb dataSources:  ds_0: # 主库    url: jdbc:mysql://127.0.0.1:3306/MyDb?serverTimezone=UTC&useSSL=false    username: root # 数据库用户名    password: mysql123  # 登录密码    connectionTimeoutMilliseconds: 30000    idleTimeoutMilliseconds: 60000    maxLifetimeMilliseconds: 1800000    maxPoolSize: 50    minPoolSize: 1  ds_0_read0: # 从库    url: jdbc:mysql://192.168.140.132:3306/MyDb?serverTimezone=UTC&useSSL=false    username: root # 数据库用户名    password: Xiaohemiao_123  # 登录密码    connectionTimeoutMilliseconds: 30000    idleTimeoutMilliseconds: 60000    maxLifetimeMilliseconds: 1800000    maxPoolSize: 50    minPoolSize: 1    #  ds_1:#    url: jdbc:mysql://127.0.0.1:3306/demo_ds_1?serverTimezone=UTC&useSSL=false#    username: root#    password:#    connectionTimeoutMilliseconds: 30000#    idleTimeoutMilliseconds: 60000#    maxLifetimeMilliseconds: 1800000#    maxPoolSize: 50#    minPoolSize: 1## 规则 rules: - !READWRITE_SPLITTING  #读写分离规则   dataSources:     pr_ds:       writeDataSourceName: ds_0       readDataSourceNames:         - ds_0_read0 - !SHARDING   tables:     t_product: #需要进行分表的表名       actualDataNodes: ds_0.t_product_${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

 

 上述配置是同时有做容量范围分片

二、数据准备

在中间件中ShardingSphere中创建MyDb数据库,并创建相关表和插入数据

-- 创建表SET NAMES utf8mb4;SET FOREIGN_KEY_CHECKS = 0;-- ------------------------------ Table structure for t_product-- ----------------------------DROP TABLE IF EXISTS `t_product`;CREATE TABLE `t_product`  (  `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');

三、查看数据

1、查看shardingsphere中间件t_product表数据

 

 

2、主库192.168.140.131数据

 

 3、主库192.168.140.132数据

 

posted @ 2022-06-27 23:51 SportSky 阅读(0) 评论(0) 编辑 收藏 举报
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