聊聊jdbc的batch操作

内容简介：聊聊jdbc的batch操作

statement的batch操作，可以批量进行insert或update操作，提升操作性能，特别是在大数据量的insert或update的时候。

使用方式

@Test
    public void testSqlInjectSafeBatch(){
        String sql = "insert into employee (name, city, phone) values (?, ?, ?)";

        Connection conn = null;
        PreparedStatement pstmt = null;

        try{
            conn = dataSource.getConnection();
            conn.setAutoCommit(false);
            pstmt = conn.prepareStatement(sql);

            for (int i=0;i<3;i++) {
                pstmt.setString(1,"name"+i);
                pstmt.setString(2,"city"+i);
                pstmt.setString(3,"iphone"+i);
                pstmt.addBatch();
            }
            pstmt.executeBatch();

            conn.commit();

        }catch (SQLException e){
            e.printStackTrace();
            try {
                conn.rollback();
            } catch (SQLException e1) {
                e1.printStackTrace();
            }
        }finally {
            DbUtils.closeQuietly(pstmt);
            DbUtils.closeQuietly(conn);
        }
    }

主要就是每条操作参数设置完之后，调用addBatch方法，然后再所有操作都pstmt.addBatch()完之后，调用pstmt.executeBatch() 这种方式有个缺陷就是数据量大容易消耗内存，因此建议再分批次处理

@Test
    public void testSqlInjectSafeAndOOMSafeBatch(){
        String sql = "insert into employee (name, city, phone) values (?, ?, ?)";

        Connection conn = null;
        PreparedStatement pstmt = null;

        final int batchSize = 1000;
        int count = 0;

        try{
            conn = dataSource.getConnection();
            pstmt = conn.prepareStatement(sql);

            for (int i=0;i<10000;i++) {
                pstmt.setString(1,"name"+i);
                pstmt.setString(2,"city"+i);
                pstmt.setString(3,"iphone"+i);
                pstmt.addBatch();

                //小批量提交,避免OOM
                if(++count % batchSize == 0) {
                    pstmt.executeBatch();
                }
            }

            pstmt.executeBatch(); //提交剩余的数据

        }catch (SQLException e){
            e.printStackTrace();
        }finally {
            DbUtils.closeQuietly(pstmt);
            DbUtils.closeQuietly(conn);
        }
    }

jpa的batch设置

spring:
  jpa:
    database-platform: org.hibernate.dialect.PostgreSQLDialect
    hibernate:
      ddl-auto: update
      naming:
        implicit-strategy: org.springframework.boot.orm.jpa.hibernate.SpringImplicitNamingStrategy
        physical-strategy: org.springframework.boot.orm.jpa.hibernate.SpringPhysicalNamingStrategy
    show-sql: true
    properties:
      hibernate:
        format_sql: true
        jdbc:
          batch_size: 5000
          batch_versioned_data: true
        order_inserts: true
        order_updates: true

通过设置spring.jpa.properties.hibernate.jdbc.batch_size来设置批量

实例测试

@Test
	public void testJpaBatch() {
		List<DemoUser> demoUsers = new ArrayList<>();
		for(int i=0;i<10;i++){
			DemoUser demoUser = new DemoUser();
			demoUser.setPrincipal("demo");
			demoUser.setAccessToken(UUID.randomUUID().toString());
			demoUser.setAuthType(UUID.randomUUID().toString());
			demoUser.setDeptName(UUID.randomUUID().toString());
			demoUser.setOrgName(UUID.randomUUID().toString());
			demoUsers.add(demoUser);
		}
		StopWatch stopWatch = new StopWatch("jpa batch");
		stopWatch.start();
		demoUserDao.save(demoUsers);
		stopWatch.stop();
		System.out.println(stopWatch.prettyPrint());
	}

调整batch_size参数的测试结果

没有设置批量
	 * StopWatch 'jpa batch': running time (millis) = 21383
	 -----------------------------------------
	 ms     %     Task name
	 -----------------------------------------
	 21383  100%

	 设置批量500
	 StopWatch 'jpa batch': running time (millis) = 16790
	 -----------------------------------------
	 ms     %     Task name
	 -----------------------------------------
	 16790  100%

	 批量1000
	 StopWatch 'jpa batch': running time (millis) = 12317
	 -----------------------------------------
	 ms     %     Task name
	 -----------------------------------------
	 12317  100%

	 批量5000
	 StopWatch 'jpa batch': running time (millis) = 13190
	 -----------------------------------------
	 ms     %     Task name
	 -----------------------------------------
	 13190  100%

小结

jdbc的batch参数对于大数据量的新增/更新操作来说，非常有用，可以提升批量操作的效率。

doc

• Batch Processing in JDBC
• JDBC: Batch Updates
• 三种JDBC批量插入编程方法的比较
• Batch Insert In Java – JDBC
• JDBC PreparedStatement example – Batch Update
• JDBC - Batch Processing
• Java Jdbc减少交互提升批量处理性能，到底该如何优化才好？
• Spring Data JPA: Batch insert for nested entities
• Spring JPA Hibernate - JpaRepository Insert (Batch)

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