shardingsphere 5.5.1按月分表配置记录,支持dynamic-datasource多数据源

新版本的shardingsphere配置查了很多材料,最后终于配置完成,做个记录。springboot版本2.7.18

先说明下springboot的支持只到5.2.1,但是因为旧版本有漏洞问题,加上官方新版本不在支持springboot写法,所以改成了shardingsphere-jdbc。

maven的版本

<shardingsphere.version>5.5.1</shardingsphere.version>
<snakeyaml.version>2.3</snakeyaml.version>

<dependency>
    <groupId>org.apache.shardingsphere</groupId>
    <artifactId>shardingsphere-jdbc</artifactId>
    <version>${shardingsphere.version}</version>
</dependency>
<dependency>
    <groupId>org.yaml</groupId>
    <artifactId>snakeyaml</artifactId>
    <version>${snakeyaml.version}</version>
</dependency>

sharding.xml

dataSources:
  nemesismaster:
    dataSourceClassName:  com.alibaba.druid.pool.DruidDataSource
    driverClassName: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql://xxx/nemesis?useUnicode=true&characterEncoding=utf8&allowMultiQueries=true&zeroDateTimeBehavior=CONVERT_TO_NULL&autoReconnect=true&failOverReadOnly=false&serverTimezone=GMT%2B8&useSSL=false
    username: xxx
    password: xxx

rules:
  - !SHARDING
    tables:
      risk_record:
        actualDataNodes: nemesismaster.risk_record
        tableStrategy:
          standard:
            shardingColumn: create_time
            shardingAlgorithmName: aaa

    shardingAlgorithms:
      aaa:
        type: CLASS_BASED
        props:
          strategy: standard
          algorithmClassName: com.xxx.xxx.nemesis.shardingsphere.TimeShardingAlgorithm
#      interval:
#        type: INTERVAL
#        props:
#          datetime-pattern: 'yyyy-MM'
#          datetime-lower: '2024-01'
#          datetime-upper: '2025-12'
#          sharding-suffix-pattern: 'yyyyMM'
#          # 间隔大小
#          datetime-interval-amount: 1
#          datetime-interval-unit: 'Months'
  - !SINGLE
    tables:
      - "*.*"
props:
  sql-show: true

yml的配置里面加上

 spring:
  datasource:
    dynamic:
      datasource:
        shardingSphere:
          url: jdbc:shardingsphere:classpath:sharding.yml
          driver-class-name: org.apache.shardingsphere.driver.ShardingSphereDriver

分片算法

package com.xxx.xxx.nemesis.shardingsphere;

import com.google.common.collect.Range;
import lombok.Getter;
import lombok.extern.slf4j.Slf4j;
import org.apache.shardingsphere.sharding.api.sharding.ShardingAutoTableAlgorithm;
import org.apache.shardingsphere.sharding.api.sharding.standard.PreciseShardingValue;
import org.apache.shardingsphere.sharding.api.sharding.standard.RangeShardingValue;
import org.apache.shardingsphere.sharding.api.sharding.standard.StandardShardingAlgorithm;

import java.sql.Timestamp;
import java.time.Instant;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.util.*;
import java.util.function.Function;
import java.util.stream.Collectors;

/**
 * 分片算法,按月分片
 */
@Slf4j
public final class TimeShardingAlgorithm implements StandardShardingAlgorithm<Timestamp>, ShardingAutoTableAl
### ShardingSphere 5.5.1 按年份进行分表配置方法 在 ShardingSphere 5.5.1 版本中,可以通过配置策略来实现按照年份进行分表的操作。具体来说,可以利用 `StandardShardingStrategy` 来定义基于时间字段的分片算法。 #### 使用 Java API 进行配置 下面是一个使用 Java API 的例子: ```java import org.apache.shardingsphere.api.config.sharding.ShardingRuleConfiguration; import org.apache.shardingsphere.api.config.sharding.TableRuleConfiguration; import org.apache.shardingsphere.api.config.sharding.strategy.StandardShardingStrategyConfiguration; import org.apache.shardingsphere.api.algorithm.sharding.PreciseShardingAlgorithm; import org.apache.shardingsphere.api.algorithm.sharding.PreciseShardingValue; public class YearBasedTableSharding implements PreciseShardingAlgorithm<Date> { @Override public String doSharding(Collection<String> availableTargetNames, PreciseShardingValue<Date> shardingValue) { SimpleDateFormat sdf = new SimpleDateFormat("yyyy"); return "t_order_" + sdf.format(shardingValue.getValue()); } } // 配置规则 ShardingRuleConfiguration shardingRuleConfig = new ShardingRuleConfiguration(); TableRuleConfiguration orderTableRuleConfig = new TableRuleConfiguration("t_order", "ds_${0..1}.t_order_$->{2020..2023}"); orderTableRuleConfig.setDatabaseShardingStrategyConfig(new StandardShardingStrategyConfiguration("create_date", new DatabaseShardingAlgorithm())); orderTableRuleConfig.setTableShardingStrategyConfig(new StandardShardingStrategyConfiguration("create_date", new YearBasedTableSharding())); shardingRuleConfig.getTableRuleConfigs().add(orderTableRuleConfig); ``` 此代码片段展示了如何创建自定义的时间戳分片算法以及应用到具体的逻辑表上[^1]。 #### YAML 文件方式配置 如果更倾向于通过配置文件来进行设置,则可以在 application.yaml 中加入如下内容: ```yaml spring: shardingsphere: rules: - !SHARDING tables: t_order: actual-data-nodes: ds_${0..1}.t_order_$->{2020..2023} table-strategy: standard: sharding-column: create_date precise-algorithm-class-name: com.example.YearBasedTableSharding ``` 这里指定了数据源范围 (`ds_0`, `ds_1`) 和每年对应的物理表名称模式(`t_order_{year}`),并关联了一个精确匹配类型的分片算法类路径用于处理日期列上的查询请求。
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