SpringBoot整合ShardingJdbc分表

标签：tables null return SpringBoot tableRule 分表 ShardingJdbc public String

项目中处理接收设备上报日志需求，上报数据量大，因此对数据进行按日期分表处理。

使用技术：ShardingJdbc + rabbitMq + jpa + 多线程处理

引入所需jar ：

 <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-amqp</artifactId>
        </dependency>

        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
        </dependency>

        <dependency>
            <groupId>com.alibaba.fastjson2</groupId>
            <artifactId>fastjson2</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-jpa</artifactId>
        </dependency>

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.23</version>
        </dependency>

        <!--shardingJDBC-->
        <dependency>
            <groupId>org.apache.shardingsphere</groupId>
            <artifactId>sharding-jdbc-spring-boot-starter</artifactId>
            <version>4.1.1</version>
        </dependency>

        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-lang3</artifactId>
        </dependency>

        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <scope>test</scope>
        </dependency>

在application.yml 中配置数据库分表：

spring:
  application:
    name: data-system
  profiles:
    active: local
  # 关闭驼峰命名
  jpa:
    hibernate:
      naming:
        physical-strategy: org.hibernate.boot.model.naming.PhysicalNamingStrategyStandardImpl

  # sharding jdbc配置
  shardingsphere:
    datasource:
      names: ds0
      ds0:
        type: com.zaxxer.hikari.HikariDataSource
        driver-class-name: com.mysql.cj.jdbc.Driver
        jdbc-url: jdbc:mysql:
        username: 
        password: 
    # 配置表的分布，表的策略
    sharding:
      tables:
        ali_data:
          actual-data-nodes: ds0.ali_data
          key-generator:
            # 指定表 主键id 生成策略为 SNOWFLAKE
            column: id
            type: SNOWFLAKE
          table-strategy:
            standard:
              # 分片字段
              sharding-column: create_time
              # 精确算法实现类路径
              precise-algorithm-class-name: com.chunmi.data.group.shardingjdbc.PreciseAlgorithmCustomer
        data_source:
          actual-data-nodes: ds0.data_source
          key-generator:
            column: id
            type: SNOWFLAKE
          table-strategy:
            standard:
              sharding-column: create_time
              precise-algorithm-class-name: com.chunmi.data.group.shardingjdbc.PreciseAlgorithmCustomer


    # 打开ShardingSphere-sql输出日志---调试时方便查看具体哪张表
    props:
      sql:
        show: true

分片算法：

@Component
public class PreciseAlgorithmCustomer implements PreciseShardingAlgorithm<Date> {
    private static ShardingAlgorithmReload shardingAlgorithmReload;

    @Autowired
    public void setShardingAlgorithmReload(ShardingAlgorithmReload shardingAlgorithmReload) {
        PreciseAlgorithmCustomer.shardingAlgorithmReload = shardingAlgorithmReload;
    }


    @Override
    public String doSharding(Collection<String> collection, PreciseShardingValue<Date> preciseShardingValue) {
        String suffix = ShardingDateUtil.getYearMonthDay(new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(preciseShardingValue.getValue()));
        String preciseTable = preciseShardingValue.getLogicTableName() + "_" + suffix;
        if (collection.contains(preciseTable)) {
            return preciseTable;
        } else {
            String table = shardingAlgorithmReload.tryCreateShardingTable(preciseShardingValue.getLogicTableName(), suffix);
            if (StringUtils.isNotBlank(table)) {
                return table;
            } else {
                throw new IllegalArgumentException("未找到匹配的数据表");
            }
        }
    }
}

新建表以及重载：

@Slf4j
@Component
public class ShardingAlgorithmReload {

    @Resource
    private ShardingDataSource shardingDataSource;

    private ShardingRuntimeContext runtimeContext;

    /**
     * 重载表缓存
     */
    public void tableNameCacheReloadAll() {
        ShardingRuntimeContext runtimeContext = getRuntimeContext();

        List<TableRule> tableRuleList = (List<TableRule>) runtimeContext.getRule().getTableRules();
        for (TableRule tableRule : tableRuleList) {
            String nodeName = tableRule.getActualDatasourceNames().stream().findFirst().get();
            Set<String> tablesInDBSet = queryTables(tableRule.getLogicTable());
            refreshTableRule(tableRule, nodeName, tablesInDBSet);
        }
    }

    protected void refreshTableRule(TableRule tableRule, String nodeName, Set<String> tablesInDBSet) {
        // sharding缓存的表名
        Set<String> tableSets = getActualTables(tableRule);
        // 刷新
        if (!tableContrast(tableSets, tablesInDBSet)) {
            List<String> tableList = new ArrayList<>(tablesInDBSet);
            setDatasourceToTablesMap(tableRule, nodeName, tableList);
        }

    }

    private boolean tableContrast(Set<String> actualTableSets, Set<String> tablesInDBSet) {
        if (actualTableSets == null || tablesInDBSet == null) {
            return false;
        }
        if (actualTableSets.size() != tablesInDBSet.size()) {
            return false;
        }
        return actualTableSets.containsAll(tablesInDBSet);
    }

    protected void refreshShardingAlgorithm(TableRule tableRule, String nodeName) {
        // 获取分库分表时真正使用的表名
        Map<String, Set<String>> datasourceToTablesMap = getDatasourceToTablesMap(tableRule);
        Set<String> tables = datasourceToTablesMap.get(nodeName);
        ShardingStrategy shardingStrategy = tableRule.getTableShardingStrategy();
        if (shardingStrategy instanceof ComplexShardingStrategy) {
            ShardingAlgorithm algorithm = getObjectField(shardingStrategy, "shardingAlgorithm");
            setValueToBaseAlgorithm(tableRule, algorithm, nodeName, tables);
        } else if (shardingStrategy instanceof HintShardingStrategy) {
            ShardingAlgorithm algorithm = getObjectField(shardingStrategy, "shardingAlgorithm");
            setValueToBaseAlgorithm(tableRule, algorithm, nodeName, tables);
        } else if (shardingStrategy instanceof StandardShardingStrategy) {
            ShardingAlgorithm preciseAlgorithm = getObjectField(shardingStrategy, "preciseShardingAlgorithm");
            setValueToBaseAlgorithm(tableRule, preciseAlgorithm, nodeName, tables);
            ShardingAlgorithm rangeAlgorithm = getObjectField(shardingStrategy, "rangeShardingAlgorithm");
            setValueToBaseAlgorithm(tableRule, rangeAlgorithm, nodeName, tables);
        }
    }

    private void setValueToBaseAlgorithm(TableRule tableRule, ShardingAlgorithm algorithm, String nodeName, Set<String> tables) {

        if (algorithm != null && algorithm instanceof BaseShardingAlgorithm) {
            BaseShardingAlgorithm baseShardingAlgorithm = (BaseShardingAlgorithm) algorithm;
            baseShardingAlgorithm.setLogicTable(tableRule.getLogicTable());
            baseShardingAlgorithm.setTables(tables);
            baseShardingAlgorithm.setTableRule(tableRule);
            baseShardingAlgorithm.setNodeName(nodeName);
        }
    }

    protected ShardingRuntimeContext getRuntimeContext() {
        try {
            if (runtimeContext == null) {
                Method getRuntimeContextMethod = shardingDataSource.getClass().getDeclaredMethod("getRuntimeContext");
                getRuntimeContextMethod.setAccessible(true);
                runtimeContext = (ShardingRuntimeContext) getRuntimeContextMethod.invoke(shardingDataSource, null);
            }
        } catch (Exception e) {
            log.error("发生异常：" + e);
        }
        return runtimeContext;
    }

    protected Set<String> getActualTables(TableRule tableRule) {
        Set<String> tables = getObjectField(tableRule, "actualTables");
        return tables == null ? new LinkedHashSet<>() : tables;
    }

    protected void setDatasourceToTablesMap(TableRule tableRule, String nodeName, List<String> newTableList) {
        synchronized (tableRule) {
            Map<String, Set<String>> datasourceToTablesMap = getDatasourceToTablesMap(tableRule);
            Set<String> tables = datasourceToTablesMap.get(nodeName);
            Collections.sort(newTableList);
            tables.clear();
            tables.addAll(newTableList);
        }
    }

    protected Map<String, Set<String>> getDatasourceToTablesMap(TableRule tableRule) {
        Map<String, Set<String>> tablesMap = getObjectField(tableRule, "datasourceToTablesMap");
        return tablesMap == null ? new HashMap<>(0) : tablesMap;
    }

    protected static <T> T getObjectField(Object object, String fieldName) {
        try {
            Field field = object.getClass().getDeclaredField(fieldName);
            field.setAccessible(true);
            return (T) field.get(object);
        } catch (Exception e) {
            log.error("发生异常:{}", e);
        }
        return null;
    }

    protected Set<String> queryTables(String tableName) {
        Connection conn = null;
        Statement statement = null;
        ResultSet rs = null;
        Set<String> tables = null;
        try {
            conn = shardingDataSource.getConnection();
            statement = conn.createStatement();
            rs = statement.executeQuery("select table_name from information_schema.tables where table_schema ='ali_sourcedata' and table_name like '" + tableName + "%'");
            tables = new LinkedHashSet<>();
            while (rs.next()) {
                tables.add(rs.getString(1));
            }
        } catch (SQLException e) {
            log.error("获取数据库连接失败！", e);
        } finally {
            try {
                if (rs != null) {
                    rs.close();
                }
                if (statement != null) {
                    statement.close();
                }
                if (conn != null) {
                    conn.close();
                }
            } catch (SQLException e) {
                log.error("关闭数据连接失败", e);
            }
        }
        return tables;
    }

    protected void createTable(String tableName, String suffix) {
        String tableAllName = tableName + "_" + suffix;
        String sql = null;
        if (Constant.FIELD_TABLE_DATA.equals(tableName)) {
            sql = "CREATE TABLE `" + tableAllName +
                    "` (`id` bigint NOT NULL AUTO_INCREMENT,`deviceType` varchar(500) NOT NULL,`identifier` varchar(255) DEFAULT NULL,`method` varchar(255) DEFAULT NULL,`productKey` varchar(50) DEFAULT NULL,`deviceName` varchar(50) DEFAULT NULL," +
                    "`time` bigint DEFAULT NULL,`value` varchar(500) DEFAULT NULL,`create_time` timestamp NULL DEFAULT NULL COMMENT '创建时间',PRIMARY KEY (`id`),KEY `idx_time_did_model` (`time`,`deviceName`,`productKey`)," +
                    "KEY `idx_did` (`deviceName`),KEY `idx_model` (`productKey`)) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci;";
        } else if (Constant.FIELD_TABLE_DATA_SOURCE.equals(tableName)) {
            sql = "CREATE TABLE `" + tableAllName +
                    "` (`id` bigint NOT NULL AUTO_INCREMENT,`productKey` varchar(50) DEFAULT NULL COMMENT '产品model',`deviceName` varchar(50) DEFAULT NULL COMMENT '产品did',`source_data_json` json DEFAULT NULL COMMENT '源数据'," +
                    "`create_time` timestamp NULL DEFAULT NULL COMMENT '创建时间',PRIMARY KEY (`id`), KEY `idx_deviceName` (`deviceName`),KEY `idx_productKey` (`productKey`)) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;";
        }
        Connection conn = null;
        Statement statement = null;
        try {
            conn = shardingDataSource.getConnection();
            statement = conn.createStatement();
            statement.executeUpdate(sql);
        } catch (SQLException e) {
            log.error("获取数据库连接失败！", e);
        } finally {
            try {
                if (statement != null) {
                    statement.close();
                }
                if (conn != null) {
                    conn.close();
                }
            } catch (SQLException e) {
                log.error("关闭数据连接失败", e);
            }
        }
    }

    public String tryCreateShardingTable(String tableName, String suffix) {
        String resTable = tableName + "_" + suffix;
        //建表
        createTable(tableName, suffix);
        //重载
        tableNameCacheReloadAll();
        return resTable;
    }

}

工具类：

public class ShardingDateUtil {

    public static final String DATE_FORMAT_DEFAULT = "yyyy-MM-dd HH:mm:ss";
    public static final String DATE_FORMAT_NUMBER = "yyyyMMddHHmmss";
    public static final String YEAR_MONTH_DAY_NUMBER = "yyyyMMdd";
    public static final String YEAR_MONTH_NUMBER = "yyyyMM";
    public static final String DATE_FORMAT_DAY_PATTERN = "yyyy-MM-dd";
    public static final String YEAR_MONTH_DAY_EN_SECOND = "yyyy/MM/dd HH:mm:ss";
    public static final String YEAR_MONTH_DAY_CN_SECOND = "yyyy年MM月dd日 HH时mm分ss秒";
    public static final String YEAR_MONTH_DAY_CN = "yyyy年MM月dd日";
    public static final String MONTH_DAY = "MM-dd";

    public static String getYearMonth(Long date) {
        if (date == null) {
            return null;
        }
        return new SimpleDateFormat(YEAR_MONTH_NUMBER).format(date);
    }

    public static String getYearMonthDay(String date) {
        if (date == null) {
            return null;
        }
        String format = DATE_FORMAT_DEFAULT;
        Date parse = new Date();
        try {
            parse = new SimpleDateFormat(format).parse(date);
        } catch (ParseException e) {
            e.printStackTrace();
        }
        return new SimpleDateFormat(YEAR_MONTH_DAY_NUMBER).format(parse);
    }

    public static String getYearMonth(String date, String format) {
        if (date == null) {
            return null;
        }
        if (StringUtils.isBlank(format)) {
            format = DATE_FORMAT_DEFAULT;
        }
        SimpleDateFormat simpleDateFormat = new SimpleDateFormat(format);
        return simpleDateFormat.format(date);
    }
}

初始化表：

import org.springframework.boot.CommandLineRunner;
import org.springframework.core.annotation.Order;
import org.springframework.stereotype.Component;

import javax.annotation.Resource;

@Order(value = 1)
@Component
public class ShardingTablesLoadRunner implements CommandLineRunner {
    @Resource
    private ShardingAlgorithmReload shardingAlgorithmReload;
    @Override
    public void run(String... args) throws Exception {
        shardingAlgorithmReload.tableNameCacheReloadAll();
    }
}

添加多线程处理：

@EnableAsync
@Configuration
public class TheadPoolConfig {

    @Bean("CommonThreadPoolExecutor")
    public Executor syncExecutor() {

        // 获取可用处理器的Java虚拟机的数量
        int sum = Runtime.getRuntime().availableProcessors();
        System.out.println("系统最大线程数 -> " + sum);

        // 实例化自定义线程池
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        // 设置线程池中的核心线程数(最小线程数)
        executor.setCorePoolSize(5);
        // 设置线程池中的最大线程数
        executor.setMaxPoolSize(10);
        // 设置线程池中任务队列的容量
        executor.setQueueCapacity(25);
        // 设置线程池中空闲线程的存活时间
        executor.setKeepAliveSeconds(60);
        // 设置线程池中线程的名称前缀
        executor.setThreadNamePrefix("async-");
        // 设置线程池关闭时等待所有任务完成的时间。
        executor.setAwaitTerminationSeconds(60);
        // 设置线程池中任务队列已满时的拒绝策略，当线程池中的任务队列已满，而且线程池中的线程已经达到了最大线程数时，新的任务就无法被执行。这时就需要设置拒绝策略来处理这种情况。
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.DiscardPolicy());
        // 设置线程池在关闭时是否等待所有任务完成
        executor.setWaitForTasksToCompleteOnShutdown(true);
        // 初始化线程池的配置
        executor.initialize();

        return executor;
    }
}

接口处理mq消息：

  @Resource
    private AliDataService aliDataService;

    @RabbitListener(bindings = @QueueBinding(
            value = @Queue(
                    value = "${queue.data-group}",
                    durable = "true", exclusive = "false",
                    autoDelete = "false",
                    arguments = {@Argument(name = "x-message-ttl", value = "3600000", type = "java.lang.Long")}
            ),
            exchange = @Exchange(name = "${com.chunmi.mq.feiyan.exchange}", type = "topic")))
    @RabbitHandler
    @Async(value = "CommonThreadPoolExecutor")
    public void consumer(String jsonStr) {
        log.info("物联网生活平台设备上报的消息：{}", jsonStr);
        JSONObject jsonObject = JSONObject.parseObject(jsonStr);

        // 处理全部设备事件
        this.processDataSource(jsonObject);

        // 处理设备事件 device_event
        this.processData(jsonObject);
    }

标签：tables,null,return,SpringBoot,tableRule,分表,ShardingJdbc,public,String
From： https://www.cnblogs.com/wlong-blog/p/18421103

SpringBoot整合ShardingJdbc分表

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