비동기 회고 발표자료

Asynchronous
Programming
With Spring 4.X, RDBMS in MSA

• Dooray! Mail-API 개발, 운영
• www.pikicast.com 개발, 운영
• Cloud orchestration system 개발, 운영
• Caller-Ring 개발, 운영

“Non-Blocking” or “Blocking”
vs
“Asynchronous” or “Synchronous”
Return 의 여부에 따라…
Thread 상태에 따라서…

“The C10K Problem”
http://www.kegel.com/c10k.html
It’s time for web servers to handle ten thousand clients simultaneously.
The web is a big place now

The C10K Problem
• Scale-out
• Load-balancer
• Haproxy, Nginx
• AWS, Azure, Google Cloud and OpenStack
• NoSQL
• Redis, HazelCast (IMDG)
• Zero-copy, limits on file descriptors

“그러면 프로그래밍의 패러다임
은?”

The C10K Problem
• Event Loop
– Nginx, node.js, Play, Netty, Vert.X
• Event Driven Programming
• Reactor
• Java Executor Service
Event
Loop
Thread PoolEvent Queue

The C10K Problem
• Callback Functions
• Functional Programming vs imperative programming
• Lambda in Java
– Functional programming
– Modern Java
Event
Loop
Register Callback
Complete CallbackTrigger Callback

The C10K Problem
• 객체 지향형 프로그래밍
• 함수형 프로그래밍
Event
Loop
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#1
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#1
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#2 VS

얼마나 ‘효율적으로’, ‘효과적’으
로
Thread를
짧게 나눠쓰느냐??”

Asynchronous Programming
with Spring 4.3
• DeferredResult
• @Async
• AsyncRestTemplate & ListenableFuture
• CompletableFuture

@Async & DeferredResult
example
Sample : AsyncController.java
단점은?

Common Architecture using JAVA

“그런데 JDBC 는 blocking IO
라며?”
“왜 비동기 프로그래밍을 할까?”“하지만 많은 기능을 구현할 수
있습니다.”

“휴지통에 있는 메일을 삭제하
는 API”
- 데이터 베이스에 record 삭제
- 메일 파일(Mime) 삭제
- 타 시스템에 메일이 삭제 되었
음을 알려줌.
검색서버, History 서버

그런데…
휴지통에 1만건이 존재한다면?
- DB 작업 : 300ms- 파일 삭제 작업 : 10ms *
10,000 = 100sec
- 타시스템 연동작업 : 30ms *
10,000 * 3 = 900 sec
Total : 약 1000 sec, 16분

@Async
• @Async 를 쓸때는 별도의 ThreadPool 을 사용하자.
• @Async 와 @Transactional 을 쓸때는 주의하자.
– @Transactional 의 원리를 이해하고 사용해야 함.
– 부하

@Transactional
• AOP-Proxy 에서는 public method 로 선언
– @EnableTransactionManagement(proxyTargetClass = true)
– <tx:annotation-driven/>
– AspectJ 에서는 상관없음.
• Bean 내부의 다른 method에서 다른 Transaction을 실행할때
– 선언적 Transaction 을 실행한다.
– Self-autowiring in Spring 4.3+
– @Async 에서 많이 놓치는 실수.

“DB Connection 객체는 비싸
다!”
비동기 프로그래밍에서도 마찬
가지 입니다.

@Transactional(readOnly = false)
public boolean removeMailsByMailFolderId(Long mailFolderId){
List<Long> mailIds = mailRepository.findIds(mailFolderId);
mailRepository.deleteByMailFolderId(mailFolderId);
mailIds.stream.forEach(mailId -> {
storageComponent.deleteByMailId(mailId);
searchComponent.deleteByMailId(mailId);
historyComponent.deleteByMailId(mailId);
);
return true;
}
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Storage
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History
DB

);
return true;
}
실행시간 = TX 시간
Long Transaction
End Transaction
Begin Transaction
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Search
History
DB
장애유발
가능성

DB Connection을 아끼는 방법들
• @Async
• LazyConnectionDataSourceProxy
• Facade Pattern
• TransactionSynchronizationManager,
TransactionSynchronizationAdaptor

public void removeMailsByMailFolderId(Long mailFolderId){
Lists.partition(mailIds, 10).stream
.forEach(submailIds -> selfService.removeByAsync(submailIds);
}
@Async
public void removeByAsync(List<Long> submailIds){
mailRepository.deleteByMailIdIn(subMailIds)
subMailIds.stream.forEach(mailId -> {
);
}
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DB
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Storage
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History
DB
DB
DB

mailRepository.deleteByMailIdIn(mailIds)
selfService.removeByAsync(mailIds)
}
@Async
public void removeByAsync(List<Long> mailIds){
);
}
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DB
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Storage
Search
History

LazyConnectionDataSource 예
제

@Bean(value = “dataSource”, destoryMethod=“close”)
public DataSource dataSource(){
BasicDataSource ds = new BasicDataSource();
//… more configuration
return ds;
}
@Bean(value = “lazyDataSource”)
public LazyConnectionDataSourceProxy lazyDataSource(){
return new LazyConnectionDataSourceProxy(datasource());
}
);
return true;
}
After
What is Difference?
Before

Façade Pattern 을 이용한 예제

public class MailFacade {
List<Long> removedMailIds = mailService.findIds(mailFolderId);
removedMailIds.stream.forEach(mailId -> {
);
}
}
public class MailServiceImpl implements MailService {
public List<Long> removeMailEntities(Long mailFolderId){
mailRepository.deleteByMailIdIn(mailIds)
return mailIds
}
}
Façade Layer
Service Layer

TransactionSynchronizationMa
nager
TransactionSynchronizationAd
aptor
를 이용한 예제

@Async
);
}
DB Transaction
이 묶일 필요가
있나요?

TransactionSynchronizationManager.registerSynchronization(new TransactionSynchronizationAdapter() {
@Override
public void afterCommit() {
});
}
}
}
afterCommit() – invoke after transaction commit
afterCompletion() - invoke after transaction commit / rollback
beforeCommit() – invoke before trasnaction commit
beforeCompletion() - invoke before transaction commit / rollback

“WAS 스레드, DBPool 갯수 설
정이야기 해볼까요?”
Peek Time 에 비동기로 프로그래
밍된 api 를 호출하면?
DBPool 은 괜찬은가요?
“DataSource 를 분리합니다”

DataSource Configuration
• 비동기용와 API 처리용 DataSource를 분리한다.
– Peek time 때, 비동기 프로세스는 늦게 처리되도 된다.
– 장애는 전파하지 말자.
• AbstractRoutingDataSource class
– 일종의 Proxy DataSource
– setTargetDataSources method - key 에 따른 DataSource 등록
– determineCurrentLookupKey method – key 에 따른 DataSource 획득

@Slf4j
public class ExecutionRoutingDataSource extends AbstractRoutingDataSource {
@Override
protected Object determineCurrentLookupKey() {
return ExecutionContextHolder.getExecutionType();
}
}

public class ExecutionRoutingDataSource extends AbstractRoutingDataSource {
@Override
protected Object determineCurrentLookupKey() {
return ExecutionContextHolder.getExecutionType();
}
}
@Bean("routingDataSource")
public ExecutionRoutingDataSource routingDataSource() {
Map<Object, Object> targetDataSources = new HashMap<>();
targetDataSources.put(ExecutionType.API, apiDataSource());
targetDataSources.put(ExecutionType.BATCH, batchDataSource());
ExecutionRoutingDataSource routingDataSource = new ExecutionRoutingDataSource();
routingDataSource.setTargetDataSources(targetDataSources);
routingDataSource.setDefaultTargetDataSource(apiDataSource());
return routingDataSource;
}
LookUpKey 에 따라 동적으로
DataSource 를 사용
미리 등록된 enum
ExecutionType.API or BATCH

@TransactionalExecutionType(
executionType = ExecutionType.BATCH
)
@Transactional(
readOnly = true,
isolation = Isolation.READ_COMMITTED
)
public List<CompletableFuture<List<Long>>> partition(Long taskQueueId) {
// Business logic and query to DB
}
@Target({ElementType.METHOD})
@Retention(RetentionPolicy.RUNTIME)
public @interface TransactionalExecutionType {
ExecutionType executionType() default ExecutionType.API;
}

AsyncRestTemplate
• ListenableFuture
– Callback Hell
• Factory 종류
– Netty4ClientHttpRequestFactory
– SimpleClientHttpRequestFactory
– OkHttp3ClientHttpRequestFactory
– Pros and Cons
• Backpressure, Throttling
• Circuit Break Pattern

AsyncRestTemplate 은
RestTemplate 과 같다.
Spring 의 PSA
(Portable Service Abstraction)
Sample : AsyncRestTemplateTest.java
getWords(), asyncGetWords(), asyncCombinedProcess()

AsyncRestTemplate
• Callback Hell 을 피하기 위해서는?
– 람다식
– Default Method
– CompletableFuture 객체로 랩핑하는 Util 클래스를 만든다.
– Continue..

public class CompletableFutureBuilder {
public static <T> CompletableFuture<T> build(ListenableFuture<T> listenableFuture) {
CompletableFuture<T> completableFuture = new CompletableFuture<T>() {
@Override
public boolean cancel(boolean mayInterruptIfRunning) {
boolean result = listenableFuture.cancel(mayInterruptIfRunning);
super.cancel(mayInterruptIfRunning);
return result;
}
};
listenableFuture.addCallback(new ListenableFutureCallback<T>() {
@Override
public void onFailure(Throwable ex) {
completableFuture.completeExceptionally(ex);
}
@Override
public void onSuccess(T result) {
completableFuture.complete(result);
}
});
return completableFuture;
}

CompletableFuture
• 비동기 프로그래밍을 위한 클래스
– NonBlocking 으로 처리 가능하다. (vs Future class)
– Blocking 으로도 처리 가능하다.
– 여러개의 작업들을 엮을 수 있다.
– 여러개의 작업들을 합칠 수 있다.
– 예외 사항을 처리할 수 있다.
• Implements CompletionStage<T>
– 테스크를 포함하는 모델을 의미한다.
– 테스크는 체인패턴의 기본 요소이다.

CompletableFuture
• 접미사를 확인
– thenApply() vs thenApplyAsync()
• 파라미터를 확인
– thenApplyAsync(Function<? super T, ? extends U> fn)
– thenApplyAsync(Function<? super T, ? extends U> fn, Executor executor)
• 비동기 작업 시작 method
– runAsync(), supplyAsync()
• 작업들을 연결하는 method
– thenApplyAsync(), thenComposeAsync(), anyOf(), allOf()
• 예외처리를 하는 method
– exceptionally()

CompletableFuture
Method AsyncMethod Arguments Returns
thenAccept thenAcceptAsync 이전 Stage 의 결과 Noting
thenRun thenRunAsync Noting
thenApply thenApplyAsync 이전 Stage 의 결과 Result of current stage
thenCompose thenComposeAsync 이전 Stage 의 결과 Future result of current
stage
thenCombine thenCombineAsync 이전 두 Stage 의 결과 Result of current stage
whenComplete whenCompleteAsync 이전 두 Stage 의 결과 or Exception Noting

CompletableFuture
• Building a CompletableFuture Chain
– Example. CompletableFutureTest.java chainMethods();
– Example. CompletableFutureTest.java allOfMethods();
– Example. CompletableFutureTest.java allOfAcceptMethods();
• Exception handling
– Example. CompletableFutureTest.java handleMethods();

CompletableFuture
• Thread pool 공유시
– 당연하지만 순서보장이 안될 수 있다.
– Method chaining 시 공정한 처리가 어려울수 있다.
– Starvation 가능성
– executor.setRejectedExecutionHandler();
– AbortPolicy
– DiscardPolicy
– DiscardOldestPolicy
– CallerRunsPolicy
Event
Loop
Register Callback
Complete CallbackTrigger Callback

Transaction Saving
Programming
- Avoid MySQL Lock wait
- Avoid MySQL Dead Lock
- Query Tuning on JPA…

- 디버깅이 어렵다.
- TC를 만들기 어렵다.
- 항상 RDB 와의 싸움이다.

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