JAVA MYSQL sql_calc_found_rows和found_rows()实践

一、背景

  1.百万级数据库,数据量持续增加。每张数据表的字段数大于50(时间字段,分组字段,指标字段)

  2.JDBCTemplate,java,mysql

二、问题描述

  通过分析接口返回数据响应时间过长(通过某个分组字段搜索数据,响应时间长达30s)。

三、检查问题

  检查代码,发现代码中运行了两句SQL语句,一句通过select查询数据,一句通过select count(1)来获取返回数据的总条数。

  通过navicat查询语句对应的执行时间。

SELECT eventtime,smart_card_id,uevt_1000 FROM analytics_vhsession_user_event_info_day_201901 WHERE eventtime>='2019-01-01 00:00:00' AND eventtime<'2019-01-31 23:59:59' AND smart_card_id = '0382205801' ORDER BY eventtime asc LIMIT 0,1000
> OK
> 时间: 10.603s


SELECT count(1) FROM analytics_vhsession_user_event_info_day_201901 WHERE eventtime>='2019-01-01 00:00:00' AND eventtime<'2019-01-31 23:59:59' AND smart_card_id = '0382205801'
> OK
> 时间: 11.13s

  同样耗时10s+,所以想办法从select count(1)入手,减少SQL执行时间以达到减少响应时间的目的。

四、查询资料

  通过查询资料,可以通过使用sql_calc_found_rowsfound_rows()替代select count(1)

  通过navicat查询语句对应的执行时间。

SELECT sql_calc_found_rows eventtime,smart_card_id,uevt_1000 FROM analytics_vhsession_user_event_info_day_201901 WHERE eventtime>='2019-01-01 00:00:00' AND eventtime<'2019-01-31 23:59:59' AND smart_card_id = '0382205801' ORDER BY eventtime asc LIMIT 0,1000
> OK
> 时间: 11.606s


SELECT FOUND_ROWS()
> OK
> 时间: 0.004s

  相较之前的方案,响应时间可以减少10s以上,是一个值得尝试的方案。

五、优化尝试

  根据之前的测试结果尝试进行代码优化,使用jdbcTemplate来调用两次query(),一次获取数据,一次获取对应的总条数。

//select sql_calc_found_rows
String selectSQL = "select sql_calc_found_rows ...";
List> data = jdbcTemplate.queryForList(selectSQL);
//select found_rows()
String selectTotalCountSQL = "select found_rows()";
Long totalCount = jdbcTemplate.queryForObject(selectTotalCountSQL, Long.class);

  但是在实际测试中遇到了jdbcTemplate.query("select found_rows()")返回的总条数与实际的总条数不一致的情况。 通过查询相应的资料,在一篇分享文档发现一点端倪,以下为资料原文:

we do this by opening a connection, running two SELECT queries, then closing the connection. This allows us to achieve the desired result that we need.

  sql_calc_found_rowsfound_rows()需要两句SQL在同一会话中,才能保证select found_rows()返回的总条数是上一句select sql_calc_found_rows对应的总条数

  查看jdbcTemplate.query()底层代码实现。

public  T execute(StatementCallback action) throws DataAccessException {
	Assert.notNull(action, "Callback object must not be null");

	Connection con = DataSourceUtils.getConnection(getDataSource());
	Statement stmt = null;
	try {
		Connection conToUse = con;
		if (this.nativeJdbcExtractor != null &&
			this.nativeJdbcExtractor.isNativeConnectionNecessaryForNativeStatements()) {
			conToUse = this.nativeJdbcExtractor.getNativeConnection(con);
		}
		stmt = conToUse.createStatement();
		applyStatementSettings(stmt);
		Statement stmtToUse = stmt;
		if (this.nativeJdbcExtractor != null) {
			stmtToUse = this.nativeJdbcExtractor.getNativeStatement(stmt);
		}
		T result = action.doInStatement(stmtToUse);
		handleWarnings(stmt);
		return result;
	}
	catch (SQLException ex) {
		// Release Connection early, to avoid potential connection pool deadlock
		// in the case when the exception translator hasn't been initialized yet.
		JdbcUtils.closeStatement(stmt);
		stmt = null;
		DataSourceUtils.releaseConnection(con, getDataSource());
		con = null;
		throw getExceptionTranslator().translate("StatementCallback", getSql(action), ex);
	}
	finally {
		JdbcUtils.closeStatement(stmt);
		DataSourceUtils.releaseConnection(con, getDataSource());
	}
}

  jdbcTemplate每次执行query()都会从连接池中获取连接

Connection con = DataSourceUtils.getConnection(getDataSource())

  执行完成后释放连接

DataSourceUtils.releaseConnection(con, getDataSource());

  不能保证两次query()在一个会话中(同一个Connection)。

六、优化实践

  优化方案:不使用JDBCTemplate中的query()方法,自己实现具体逻辑。通过DataSourceUtils.getConnection(jdbcTemplate.getDataSource())获取会话,使用Statement来执行两次SQL后,再通过DataSourceUtils.releaseConnection(conn, jdbcTemplate.getDataSource());释放会话,保证两句SQL在同一会话中。

public PagedArrayList getDataAndTotalCount(String sql){
	Connection conn = null;
	Statement statement = null;
	ResultSet rs = null;
	ResultSet rs1 = null;
	long totalCount = 0L;
	PagedArrayList data = new PagedArrayList();
	try {
		conn = DataSourceUtils.getConnection(jdbcTemplate.getDataSource());
		conn.setAutoCommit(true);
		statement = conn.createStatement();
		rs = statement.executeQuery(sql);

		ResultSetMetaData md = rs.getMetaData(); //获得结果集结构信息,元数据
		int columnCount = md.getColumnCount();   //获得列数
		while (rs.next()) {
			Map rowData = new HashMap();
			for (int i = 1; i <= columnCount; i++) {
				rowData.put(md.getColumnName(i), rs.getObject(i));
			}
			data.add(rowData);
		}

		String totalCountSQL = "select found_rows() AS total_count";
		rs1 = statement.executeQuery(totalCountSQL);
		while (rs1.next()){
			totalCount = rs1.getLong("total_count");
		}

		data.totalCount = totalCount;
	} catch (Exception e) {
		slf4jLogger.error("getDataAndTotalCount() error:", e);
	} finally {
		//关闭资源
		JdbcUtils.closeResultSet(rs);
		JdbcUtils.closeResultSet(rs1);
		JdbcUtils.closeStatement(statement);
		//释放资源
		DataSourceUtils.releaseConnection(conn, jdbcTemplate.getDataSource());
	}
	return data;
}

七、参考文档

https://www.contradodigital.com/2018/01/06/how-to-use-sql_calc_found_rows-and-found_rows-with-limit-and-offset-in-a-mysql-query-using-java-and-jdbc/

转载于:https://my.oschina.net/junruiwang/blog/3020997

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