Converting Asynchronous Calls to Synchronous Execution with Spring @Async for Server‑Side Interface Performance Optimization

Previously I wrote an article sharing a bug I encountered at work caused by a performance optimization: Asynchronous Query Converted to Synchronous with Redis Business Implementation Bug Share .

Recently I faced a similar task: several multi‑query APIs are ideal candidates for this asynchronous‑to‑synchronous optimization, so I am sharing the scheme used in server‑side interface performance tuning.

In my opinion, a query interface suitable for this scheme (writes are handled separately) has the following characteristics:

Multiple queries

Each query takes a relatively long time

Queries are independent of each other's results

Pseudocode:

@Override
public void doExecute(Map<String, Object> dataMap) {
    doSomething(dataMap);
    CountDownLatch countDownLatch = new CountDownLatch(3);
    teacherPadAsyncService.do1(dataMap, countDownLatch, params);
    teacherPadAsyncService.do2(dataMap, countDownLatch, params);
    teacherPadAsyncService.do3(dataMap, countDownLatch, params);
    try {
        countDownLatch.await();
    } catch (InterruptedException e) {
        logger.error("异步处理线程异常", e);
    }
}

The implementation is straightforward: use Spring's @Async annotation. Some configuration adjustments are required (not detailed here), and thread‑safety must be considered.

@Async
public void do1(Map<String, Object> dataMap, CountDownLatch countDownLatch, Params params) {
    try {
        dosomething(dataMap, params);
    } catch (Exception e) {
        dosomething();
    } finally {
        countDownLatch.countDown();
    }
}

This is a conventional optimization approach; I will share other schemes when the opportunity arises.

Disclaimer: The article was first published on the public account “FunTester”. Reproduction or publication by third parties (except Tencent Cloud) is prohibited.

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