mybaits Batch ExecutorType和for_each Xml之间的性能比较 [英] Performance comparison between mybaits Batch ExecutorType and for_each Xml
问题描述
我有一个要使用诱饵插入DB的记录列表.以前，我的代码类似于:
I have a list of records to be inserted into DB using my baits. Previously, my code is something like:
for(Item item : items){
sqlSession.insert("insert", item);
}
使用此方法有效，但由于项数的原因，我发现在 Mysql 服务器上有动态增量DiskIO.
Using this method works but I find there is dynamical incremental DiskIO at Mysql server, due to number of items.
由于我几乎无法访问MySql配置，并且希望解决此高磁盘io问题，因此我找到了一些可能的解决方案:
As I have little access to MySql configuration, and hope to resolve this high disk io issue, I find some possible solutions:
- 将
ExecutorType.BATCH用于sqlSession - 在单个insert语句中插入多个值，例如:
插入到项目值中< foreach collection ="list" item ="item" index ="index"分隔符=，">(#{item.a}，#{item.b} ...)</foreach>
有人知道哪个解决方案可以解决我的高diskIO问题，这两种解决方案之间的主要区别是什么?谢谢.
Does anyone has idea which one is suitable to solve my high diskIO problem and what the main difference between these two solution? thanks.
推荐答案
尽管很难预测对服务器磁盘I/O的影响，方法1(使用 ExecutorType.BATCH )是推荐的方法.
它基本上一次插入一定数量的项目.
由于它在内部使用JDBC的批处理操作API(该批处理操作API旨在处理许多行)，因此您可以从驱动程序的优化中受益.
Although it is difficult to predict the effect on the disk I/O of your server, method 1 (using ExecutorType.BATCH) is the recommended way.
It basically inserts a certain number of items at a time.
As it internally uses JDBC's batch operation API which is designed to handle many rows, you could benefit from optimizations by the driver.
注意:
