SpringBoot 性能优化

1.Tomcat覆盖默认配置
server:
  tomcat:
    max-connections: 2000
    accept-count: 100
    threads:
      max: 800
      min-spare: 100
  max-http-header-size: 131072
  
2.优化线程池配置
@EnableAsync
@Configuration
public class AsyncConfig {
    public static final int CPUNMU = Runtime.getRuntime().availableProcessors();

    @Bean(name = "taskExecutor")
    public TaskExecutor taskExecutor() {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(CPUNMU);
        executor.setMaxPoolSize(CPUNMU * 25);
        executor.setQueueCapacity(5000);
        executor.setKeepAliveSeconds(60);
        executor.setThreadNamePrefix("Async-");
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
        executor.setWaitForTasksToCompleteOnShutdown(true);
        executor.setAwaitTerminationSeconds(60);
        return executor;
    }
}  

3.增加数据库连接池
    @Primary
    @Bean(name = "dataSource")
    public DataSource dsDataSource(Environment environment) throws IOException {
        SQLServerDataSource ds = new SQLServerDataSource();
        HikariDataSource ds2 = new HikariDataSource();
        ds2.setDataSource(ds);
        ds2.setMaximumPoolSize(100);
        ds2.setConnectionTimeout(1800000);
        ds2.setPoolName("DataSource-");
        ds2.setMinimumIdle(20);
    } catch (Exception e) {
        logger.error("Config error: {}", e.getMessage());
    }

    return ds2;        

4.增加缓存(SpringBoot Cache) // Constant info cache
private static Map<String, String> constantCache = new ConcurrentHashMap<>(1024 * 5);
// token cache
private static Map<String, TokenCache> tokenCache = new ConcurrentHashMap<>(1024 * 5);

5.优化索引 5.增加Pod数量 6.增加Ingress数量 7.升级数据库的DTU 8.第三方API采用多线程调用

创建
completedFuture    
supplyAsync        无参有返回值
runAsync        无参无返回值

whenComplete                

thenApply    有参有返回值
thenAccept     有参无返回值
thenRun        无参无返回值

Scheduled job 增加@Async指定线程池，避免获取不到线程等等
@Async("xxxThreadPool")

ExecutorService pool = new ThreadPoolExecutor(0, 4,
        20L, TimeUnit.SECONDS,
        new SynchronousQueue<>(), new ThreadPoolExecutor.CallerRunsPolicy());
long start = System.currentTimeMillis();
List<CompletableFuture> list = new ArrayList<>();
for (int i = 0; i < 10; i++) {
    final int t = i;
    System.out.println("---" + t);
    list.add(CompletableFuture.supplyAsync(() -> {
        System.out.println("A- " + t + " - " + Thread.currentThread().getName());
        try {
            Thread.sleep(3 * 1000);
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
        return "A- " + t;
    }, pool));
}

CompletableFuture<Void> all = CompletableFuture.allOf(list.toArray(new CompletableFuture[list.size()]));
try {
    all.get();
} catch (InterruptedException e) {
    e.printStackTrace();
} catch (ExecutionException e) {
    e.printStackTrace();
}
boolean done = all.isDone();
System.out.println("all done = " + done + " use:" + (System.currentTimeMillis() - start));
System.out.println(LocalDateTime.now());

9.blob文件上传下载采用多线程 10.异步日志

    <Loggers>
        <AsyncLogger name="com.xx.Main" level="trace" additivity="false">
            <appender-ref ref="RollingFile"/>
        </AsyncLogger>
        <AsyncLogger name="RollingFile2" level="trace" additivity="false">
            <appender-ref ref="RollingFile2"/>
        </AsyncLogger>
        <Root level="debug">
            <AppenderRef ref="Console"/>
            <AppenderRef ref="RollingFile"/>
        </Root>
    </Loggers>