MySQL流结果集和jOOQ fetchLazy [英] Mysql streaming result set and jOOQ fetchLazy

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本文介绍了MySQL流结果集和jOOQ fetchLazy的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

通常,当我想使用Mysql查询大型结果集时,我会这样写(取自此答案):

stmt = conn.createStatement(java.sql.ResultSet.TYPE_FORWARD_ONLY, java.sql.ResultSet.CONCUR_READ_ONLY);
stmt.setFetchSize(Integer.MIN_VALUE);

现在我正在使用 jOOQ 2.0.5,但我无法获得相同的结果. /p>

我尝试没有成功地调用fetchLazy,它将整个结果集加载到内存中:

Cursor<Record> result = query.fetchLazy(Integer.MIN_VALUE);

作为一种解决方法,我可以使用query.getSQL()获取sql查询并创建合适的Statement来执行它.

是否还有另一种方法可以使用jOOQ获得流结果集?

解决方案

根据JDBC规范,对于 https://github.com/jOOQ/jOOQ/issues/1263 (在jOOQ 2.2.0中实现)

Normally when I want to query large result set using Mysql I write this (taken from this answer):

stmt = conn.createStatement(java.sql.ResultSet.TYPE_FORWARD_ONLY, java.sql.ResultSet.CONCUR_READ_ONLY);
stmt.setFetchSize(Integer.MIN_VALUE);

Now I'm using jOOQ 2.0.5 and I can't achieve the same result.

I've tried calling fetchLazy with no luck, it loads the entire result set in memory:

Cursor<Record> result = query.fetchLazy(Integer.MIN_VALUE);

As a workaround I can get the sql query using query.getSQL() and create a suitable Statement to execute it.

Is there another way to have stream result sets using jOOQ?

解决方案

According to the JDBC specs, Integer.MIN_VALUE is not a valid argument for the Statement.setFetchSize() method:

Gives the JDBC driver a hint as to the number of rows that should be fetched from the database when more rows are needed for ResultSet objects genrated by this Statement. If the value specified is zero, then the hint is ignored. The default value is zero.

Parameters:

rows the number of rows to fetch

Throws: SQLException - if a database access error occurs, this method is called on a closed Statement or the condition rows >= 0 is not satisfied.

Implementations may throw a SQLException for negative fetch sizes. Hence, jOOQ doesn't accept parameters less than 0. You should try using a fetch size of 1 instead. In the mean time, the next release of jOOQ might be able to break the JDBC standard, to support this documented MySQL feature :

https://github.com/jOOQ/jOOQ/issues/1263 (implemented in jOOQ 2.2.0)

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