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This article shares with you about the usefulness of the batch framework Spring Batch. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

What is batch processing?

In modern enterprise applications, in the face of complex business and massive data, in addition to all kinds of processing through the complex human-computer interface, there is also a kind of work that does not require human intervention, but only needs to read a large number of data on a regular basis. then complete the corresponding business processing and archive. This kind of work is called "batch processing"

Why use Spring Batch

As a sub-project of Spring, Spring Batch is an enterprise batch processing framework based on Spring. Through it, we can build a robust enterprise batch application. Spring Batch not only provides a unified read-write interface, rich task processing methods, flexible transaction management and concurrent processing, but also supports features such as logging, monitoring, task restart and skipping, which greatly simplifies batch application development and frees developers from the complex task configuration management process, so that they can pay more attention to the core business process.

We also need to know that Spring Batch is a batch application framework, not a scheduling framework. It only focuses on issues related to batch tasks, such as transactions, concurrency, monitoring, execution, etc., and does not provide corresponding scheduling functions. Therefore, if we want batch tasks to be executed on a regular basis, it can be implemented with mature scheduling frameworks such as Quartz.

The overall architecture of Spring Batch

It is divided into three layers: application layer, core layer and infrastructure layer. The application layer includes all batch tasks and user-developed code. The core layer includes the classes needed to run a task at run time, such as the implementation of JobLauncher,Job and Step. Both the application and core layers are above the infrastructure layer, which includes general-purpose readers (readers and writers) and services such as RetryTemplate.

Step execution process

Application scenario

Submit batch tasks regularly

Concurrent batch processing: executing tasks in parallel

Phased, enterprise message-driven processing

High concurrency batch task

Restart manually or regularly after failure

Process task dependencies sequentially (using workflow-driven batch plug-ins)

Partial processing: skip records (for example, on rollback)

Complete batch transactions: because there may be batches with small amounts of data or stored procedures / scripts exist

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