感谢: 程序员一枚 提供搭建方式
项目地址: https://gitee.com/dromara/RuoYi-Cloud-Plus/tree/2.X/
创建两个库 data-center_0
data-center_1
分别执行如何sql
CREATE TABLE `t_order_0` (
`order_id` bigint(20) UNSIGNED NOT NULL COMMENT '主键ID',
`user_id` bigint(20) UNSIGNED NOT NULL COMMENT '用户ID',
`total_money` int(10) UNSIGNED NOT NULL COMMENT '订单总金额',
PRIMARY KEY (`order_id`),
KEY `idx_user_id` (`user_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='订单总表';
CREATE TABLE `t_order_1` (
`order_id` bigint(20) UNSIGNED NOT NULL COMMENT '主键ID',
`user_id` bigint(20) UNSIGNED NOT NULL COMMENT '用户ID',
`total_money` int(10) UNSIGNED NOT NULL COMMENT '订单总金额',
PRIMARY KEY (`order_id`),
KEY `idx_user_id` (`user_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='订单总表';
CREATE TABLE `t_order_item_0` (
`order_item_id` bigint(20) UNSIGNED NOT NULL COMMENT '子订单ID',
`order_id` bigint(20) UNSIGNED NOT NULL COMMENT '主键ID',
`user_id` bigint(20) UNSIGNED NOT NULL COMMENT '用户ID',
`money` int(10) UNSIGNED NOT NULL COMMENT '子订单金额',
PRIMARY KEY (`order_item_id`),
KEY `idx_order_id` (`order_id`) USING BTREE,
KEY `idx_user_id` (`user_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='订单子表';
CREATE TABLE `t_order_item_1` (
`order_item_id` bigint(20) UNSIGNED NOT NULL COMMENT '子订单ID',
`order_id` bigint(20) UNSIGNED NOT NULL COMMENT '主键ID',
`user_id` bigint(20) UNSIGNED NOT NULL COMMENT '用户ID',
`money` int(10) UNSIGNED NOT NULL COMMENT '子订单金额',
PRIMARY KEY (`order_item_id`),
KEY `idx_order_id` (`order_id`) USING BTREE,
KEY `idx_user_id` (`user_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='订单子表';
官网所有配置文件下载地址: shardingsphere 配置文件
更改 config-sharding.yaml
配置文件内的数据库连接地址与用户名密码 并配置分库分表规则
######################################################################################################
#
# Here you can configure the rules for the proxy.
# This example is configuration of sharding rule.
#
######################################################################################################
databaseName: data-center_db
dataSources:
ds_0:
url: jdbc:mysql://localhost:3306/data-center_0?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8&autoReconnect=true&rewriteBatchedStatements=true
username: root
password: root
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 50
minPoolSize: 1
ds_1:
url: jdbc:mysql://localhost:3306/data-center_1?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8&autoReconnect=true&rewriteBatchedStatements=true
username: root
password: root
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 50
minPoolSize: 1
rules:
- !SHARDING
tables: # 数据分片规则配置
t_order: # 订单逻辑表名称
actualDataNodes: ds_${0..1}.t_order_${0..1}
databaseStrategy: # 配置分库策略
standard:
shardingColumn: user_id
shardingAlgorithmName: database_user_inline
tableStrategy: # 分表策略
standard:
shardingColumn: order_id
shardingAlgorithmName: t_order_inline
keyGenerateStrategy:
column: order_id
keyGeneratorName: snowflake
# auditStrategy:
# auditorNames:
# - sharding_key_required_auditor
# allowHintDisable: true
t_order_item: # 子订单逻辑表名称
actualDataNodes: ds_${0..1}.t_order_item_${0..1}
databaseStrategy: # 配置分库策略
standard:
shardingColumn: user_id
shardingAlgorithmName: database_user_inline
tableStrategy: # 分表策略
standard:
shardingColumn: order_id
shardingAlgorithmName: t_order_item_inline
keyGenerateStrategy:
column: order_item_id
keyGeneratorName: snowflake
bindingTables: # 绑定表规则列表
- t_order,t_order_item
# defaultDatabaseStrategy:
# standard:
# shardingColumn: user_id
# shardingAlgorithmName: database_user_inline
# defaultTableStrategy:
# none:
# defaultAuditStrategy:
# auditorNames:
# - sharding_key_required_auditor
# allowHintDisable: true
# 分片算法配置
shardingAlgorithms:
database_user_inline:
type: INLINE
props:
algorithm-expression: ds_${user_id % 2}
t_order_inline: # 订单表分片算法名称
type: INLINE
props:
algorithm-expression: t_order_${order_id % 2}
allow-range-query-with-inline-sharding: true
t_order_item_inline: # 子订单表分片算法名称
type: INLINE
props:
algorithm-expression: t_order_item_${order_id % 2}
allow-range-query-with-inline-sharding: true
# 分布式序列算法配置
keyGenerators:
snowflake:
type: SNOWFLAKE
props:
worker-id: 1
# auditors:
# sharding_key_required_auditor:
# type: DML_SHARDING_CONDITIONS
# - !BROADCAST
# tables:
# - t_address
更改 server.yaml
配置代理登录用户与权限和一些其他系统配置
######################################################################################################
#
# If you want to configure governance, authorization and proxy properties, please refer to this file.
#
######################################################################################################
# mode:
# type: Cluster
# repository:
# type: ZooKeeper
# props:
# namespace: governance_ds
# server-lists: localhost:2181
# retryIntervalMilliseconds: 500
# timeToLiveSeconds: 60
# maxRetries: 3
# operationTimeoutMilliseconds: 500
authority:
users:
- user: root@%
password: root
- user: sharding
password: sharding
privilege:
type: ALL_PERMITTED
transaction:
defaultType: XA
providerType: Atomikos
sqlParser:
sqlCommentParseEnabled: false
sqlStatementCache:
initialCapacity: 2000
maximumSize: 65535
parseTreeCache:
initialCapacity: 128
maximumSize: 1024
logging:
loggers:
- loggerName: ShardingSphere-SQL
additivity: true
level: INFO
props:
enable: false
sqlFederation:
sqlFederationEnabled: false
executionPlanCache:
initialCapacity: 2000
maximumSize: 65535
props:
system-log-level: INFO
max-connections-size-per-query: 1
kernel-executor-size: 16 # Infinite by default.
proxy-frontend-flush-threshold: 128 # The default value is 128.
# sql-show is the same as props in logger ShardingSphere-SQL, and its priority is lower than logging rule
sql-show: false
check-table-metadata-enabled: false
# Proxy backend query fetch size. A larger value may increase the memory usage of ShardingSphere Proxy.
# The default value is -1, which means set the minimum value for different JDBC drivers.
proxy-backend-query-fetch-size: -1
proxy-frontend-executor-size: 0 # Proxy frontend executor size. The default value is 0, which means let Netty decide.
proxy-frontend-max-connections: 0 # Less than or equal to 0 means no limitation.
proxy-default-port: 3307 # Proxy default port.
proxy-netty-backlog: 1024 # Proxy netty backlog.
cdc-server-port: 33071 # CDC server port
proxy-frontend-ssl-enabled: false
proxy-frontend-ssl-cipher: ''
proxy-frontend-ssl-version: TLSv1.2,TLSv1.3
其他配置文件根据实际需求自行修改即可
version: '3'
services:
shardingproxy:
image: apache/shardingsphere-proxy:5.4.0
container_name: shardingsphere-proxy
command: server /data
ports:
- "3307:3307"
volumes:
- /docker/shardingproxy/conf:/opt/shardingsphere-proxy/conf
- /docker/shardingproxy/ext-lib:/opt/shardingsphere-proxy/ext-lib
environment:
- JVM_OPTS="-Djava.awt.headless=true"
network_mode: "host"
docker-compose up -d shardingproxy
测试连接连接自建的两个库
测试连接 shardingproxy
代理服务 表信息显示正确
运行 demo 提供的 controller 代码查看数据库内数据即可
代理服务连接方式: 把他当成一个 mysql 正常连接即可
@RequiredArgsConstructor
@RestController
@RequestMapping("/sharding")
public class TestShardingController {
private final ShardingOrderMapper torderMapper;
@GetMapping("/page")
public R<Page<ShardingOrder>> page() {
Page<ShardingOrder> page = new Page<>();
page.setCurrent(3L);
QueryWrapper<ShardingOrder> queryWrapper = new QueryWrapper<>();
queryWrapper.orderByAsc("order_id");
torderMapper.selectPage(page,queryWrapper);
//List records = page.getRecords();
//System.out.println(page.getTotal());
// for(ShardingOrder order : page.getRecords()){
// System.out.print(order.getTotalMoney()+" ");
// }
return R.ok(page);
}
@GetMapping("/insert")
public R<Void> insert() {
for(Long i = 1L; i <= 100L; i++){
ShardingOrder torder = new ShardingOrder();
torder.setUserId(i);
torder.setTotalMoney(100 + Integer.parseInt(i+""));
torderMapper.insert(torder);
}
return R.ok("分库分表数据批量插入成功!");
}
}