1500字范文 > ShardingSphere-Proxy 分库分表简单示例

ShardingSphere-Proxy 分库分表简单示例

时间：2022-12-12 13:30:42

简要说明

对一张简单的订单表数据表进行水平分库分表，拆分2个库，每个库16张表并在新结构在演示常见的增删改查操作

环境配置

设置MySQL

使用docker设置mysql

# 启动两个mysqldocker run --name mysql11 -p 3311:3306 -e MYSQL_ROOT_PASSWORD=root -e MYSQL_ROOT_HOST=% -d mysql:latestdocker run --name mysql12 -p 3312:3306 -e MYSQL_ROOT_PASSWORD=root -e MYSQL_ROOT_HOST=% -d mysql:latest# 在11上创建数据库demo_ds_0docker exec -ti mysql11 mysql -u root -pcreate database demo_ds_0;# 在12上创建数据库demo_ds_1docker exec -ti mysql11 mysql -u root -pcreate database demo_ds_1;

ShardingSphere-Proxy 5.0.0 alpha 设置

docker一直不能设置成功，有点奇怪，这里就直接下载使用了

1.下载ShardingSphere-Proxy，下载完成后放到自己相应的目录下2.下载MySQL-connect.jar,下载完成后将jar文件放到Sharding根目录的lib目录下

下面需要配置两个文件：server.yaml、config-sharding.yaml,示例如下（配置都有默认示例说明的，相应进行修改即可）

server.yaml

## 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##/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.######################################################################################################## # If you want to configure governance, authorization and proxy properties, please refer to this file.# ########################################################################################################governance:# name: governance_ds# registryCenter:# type: ZooKeeper# serverLists: localhost:2181# props:#retryIntervalMilliseconds: 500#timeToLiveSeconds: 60#maxRetries: 3#operationTimeoutMilliseconds: 500# overwrite: falseauthentication:users:root:password: rootsharding:password: shardingauthorizedSchemas: sharding_dbprops:max-connections-size-per-query: 1acceptor-size: 16 # The default value is available processors count * 2.executor-size: 16 # Infinite by default.proxy-frontend-flush-threshold: 128 # The default value is 128.# LOCAL: Proxy will run with LOCAL transaction.# XA: Proxy will run with XA transaction.# BASE: Proxy will run with B.A.S.E transaction.proxy-transaction-type: LOCALproxy-opentracing-enabled: falseproxy-hint-enabled: falsequery-with-cipher-column: truesql-show: truecheck-table-metadata-enabled: false

config-sharding.yaml

######################################################################################################## If you want to connect to MySQL, you should manually copy MySQL driver to lib directory.#######################################################################################################schemaName: sharding_dbdataSourceCommon:username: rootpassword: rootconnectionTimeoutMilliseconds: 30000idleTimeoutMilliseconds: 60000maxLifetimeMilliseconds: 1800000maxPoolSize: 50minPoolSize: 1maintenanceIntervalMilliseconds: 30000dataSources:ds_0:url: jdbc:mysql://127.0.0.1:3311/demo_ds_0?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8&useSSL=false&allowPublicKeyRetrieval=trueds_1:url: jdbc:mysql://127.0.0.1:3312/demo_ds_1?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8&useSSL=false&allowPublicKeyRetrieval=truerules:- !SHARDINGtables:t_order:actualDataNodes: ds_${0..1}.t_order_${0..15}tableStrategy:standard:shardingColumn: order_idshardingAlgorithmName: 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_itemdefaultDatabaseStrategy:standard:shardingColumn: user_idshardingAlgorithmName: database_inline# defaultTableStrategy:# none:# shardingAlgorithms:database_inline:type: INLINEprops:algorithm-expression: ds_${user_id % 2}t_order_inline:type: INLINEprops:algorithm-expression: t_order_${order_id % 16}# t_order_item_inline:#type: INLINE#props:# algorithm-expression: t_order_item_${order_id % 2}# # keyGenerators:# snowflake:#type: SNOWFLAKE#props:# worker-id: 123

OK，一切准备就绪，直接进入sharding的根目录下的bin目录中运行：start.bat即可（也可以在命令行中运行）

# 使用命令行运行可以指定运行端口./start.bat 13306

成功以后刷刷刷的一排日志打出，没有错误就说明可以运行了

使用mysql命令或者mysqlworkbench连接上sharding，运行下面的SQL语句生成测试的表，运行成功看到日志中一大批SQL语句，

CREATE TABLE IF NOT EXISTS `t_order` (`order_id` int(11) NOT NULL,`user_id` int(11) NOT NULL,PRIMARY KEY (`order_id`)) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=latin1;

SpringBoot Mybatis配置

需要修改数据库连接配置，大致如下：

# mybatis的config文件位置配置mybatis.config-location=classpath:mybatis/mybatis-config.xml# 各个表的xml文件位置配置mybatis.mapper-locations=classpath:mybatis/mapper/*.xmlmybatis.type-aliases-package=com.neo.model# 数据库连接信息配置，自行更换数据库，用户名和密码,配置为ShardingSphereProxyspring.datasource.url=jdbc:mysql://localhost:13306/sharding_db?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8\&useSSL=false&allowPublicKeyRetrieval=truespring.datasource.username=rootspring.datasource.password=rootspring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver

实体类、Mapper设置这里就不详细赘述了，看GitHub上的工程即可

测试类进行测试，代码如下：

package week0802.week0802.mappers;import com.zaxxer.hikari.HikariDataSource;import org.junit.jupiter.api.Test;import org.junit.jupiter.api.extension.ExtendWith;import org.mybatis.spring.annotation.MapperScan;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.boot.test.context.SpringBootTest;import org.springframework.test.context.junit.jupiter.SpringExtension;import org.springframework.transaction.annotation.Transactional;import week0802.week0802.models.Order;import javax.sql.DataSource;import java.sql.Connection;import java.sql.ResultSet;import java.sql.SQLException;import java.sql.Statement;import java.util.HashMap;import java.util.List;import java.util.Map;@SpringBootTest@ExtendWith(SpringExtension.class)@MapperScan("week0802.week0802.mappers")public class OrderMapperTest {@Autowiredprivate OrderMapper orderMapper;/*** 通过不同的查询条件的传入，可以体会到分库分表是需要设计的* 一个设计不好，查询难搞*/@Test @Transactionalpublic void test() throws SQLException {// 通过sharding插入数据，通过sharding自己的日志输出看出插入不同的数据库和表orderMapper.insertOne(new Order(1L, 1L));orderMapper.insertOne(new Order(2L, 2L));// 只传user_id，看到单库进行了所有表的查询Map<String, Object> condition = new HashMap<>(1);condition.put("user_id", 1L);List<Map<String, Object>> orderQuery = orderMapper.query(condition);assert orderQuery.size() == 1;for (Map item: orderQuery) {System.out.println(item.toString());}// 只传order_id，看到进行了多库单表的查询condition = new HashMap<>(1);condition.put("order_id", 1L);orderQuery = orderMapper.query(condition);assert orderQuery.size() == 1;for (Map item: orderQuery) {System.out.println(item.toString());}// 传入order_id和user_id，看到进行单库单表的查询condition = new HashMap<>(2);condition.put("order_id", 2L);condition.put("user_id", 2L);orderQuery = orderMapper.query(condition);assert orderQuery.size() == 1;for (Map item: orderQuery) {System.out.println(item.toString());}}}

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