Spring批处理中的网格大小 [英] Grid Size in Spring batch

问题描述

我有批处理作业，它从批量文件中读取数据，处理它并插入数据库。

I have batch job which reads data from bulk files, process it and insert in DB.

我正在使用spring的分区功能使用默认的分区处理程序。 / p>

I'm using spring's partitioning features using the default partition handler.

    <bean class="org.spr...TaskExecutorPartitionHandler">
          <property name="taskExecutor" ref="taskExecutor"/>
          <property name="step" ref="readFromFile" />
          <property name="gridSize" value="10" />
    </bean>

此处 gridSize 的重要性是什么？ ？我已经以这样的方式配置它等于taskExecutor中的并发。

What is the significance of the gridSize here ? I have configured in such a way that it is equal to the concurrency in taskExecutor.

推荐答案

gridSize 指定创建要由（通常）相同数量的工人数据块的数量C>。将其视为map / reduce中的多个映射数据块。

gridSize specifies the number of data blocks to create to be processed by (usually) the same number of workers. Think about it as a number of mapped data blocks in a map/reduce.

使用 StepExecutionSplitter ，给定data， PartitionHandler 分区/将数据拆分为 gridSize 部分，并将每个部分发送给独立的worker =在您的情况下， thread 。

Using a StepExecutionSplitter, given the data, PartitionHandler "partitions" / splits the data to a gridSize parts, and sends each part to an independent worker => thread in your case.

例如，您需要处理数据库中有10行。如果将 gridSize 设置为 5 ，并且您使用的是简单的分区逻辑，则最终会得到10/5 = 2行每个线程=> 5 线程同时在两行上工作。

For example, you have 10 rows in DB that need to be processed. If you set the gridSize to be 5, and you are using a straightforward partition logic, you'd end up with 10 / 5 = 2 rows per thread => 5 threads working concurrently on 2 rows each.

这篇关于Spring批处理中的网格大小的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！