### Concurrent Burgers { #concurrent-burgers }

You go with your crush to get fast food, you stand in line while the cashier takes the orders from the people in front of you. 😍

<img src="/img/async/concurrent-burgers/concurrent-burgers-01.png" class="illustration">

Then it's your turn, you place your order of 2 very fancy burgers for your crush and you. 🍔🍔

import java.util.HashMap;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;

import org.apache.lucene.search.TotalHits.Relation;
import org.codelibs.fess.entity.FacetInfo;

	public fun clone ()Lokhttp3/mockwebserver/MockResponse;
	public final fun getBody ()Lokio/Buffer;
	public final fun getBodyDelay (Ljava/util/concurrent/TimeUnit;)J
	public final fun getHeaders ()Lokhttp3/Headers;
	public final fun getHeadersDelay (Ljava/util/concurrent/TimeUnit;)J
	public final fun getHttp2ErrorCode ()I
	public final fun getPushPromises ()Ljava/util/List;

  }

  /**
   * Guides the allowed concurrency among update operations. Used as a hint for internal sizing. The
   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to

import java.util.Arrays;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.DisplayName;

<img src="/img/async/concurrent-burgers/concurrent-burgers-01.png" class="illustration">

이제 여러분 차례가 되어, 여러분과 짝사랑 상대를 위해 매우 고급스러운 햄버거 2개를 주문합니다. 🍔🍔

<img src="/img/async/concurrent-burgers/concurrent-burgers-02.png" class="illustration">

점원은 주방의 요리사에게 무언가를 말해, (지금은 앞선 손님들의 주문을 준비하고 있더라도) 여러분의 햄버거를 준비해야 한다는 것을 알게 합니다.

<img src="/img/async/concurrent-burgers/concurrent-burgers-03.png" class="illustration">

여러분이 돈을 냅니다. 💸

	public final fun status (Ljava/lang/String;)Lmockwebserver3/MockResponse$Builder;
	public final fun throttleBody (JJLjava/util/concurrent/TimeUnit;)Lmockwebserver3/MockResponse$Builder;
	public final fun trailers (Lokhttp3/Headers;)Lmockwebserver3/MockResponse$Builder;
	public final fun trailersDelay (JLjava/util/concurrent/TimeUnit;)Lmockwebserver3/MockResponse$Builder;

system by default adapts to the system speed and pauses up to '250ms' per object when the system has `max_io` number of concurrent requests. It is possible to adjust the `max_sleep` and `max_io` values thereby increasing the healing speed. The delays between each operation of the healer can be adjusted by the `mc admin config set alias/ heal max_sleep=1s` and maximum concurrent requests allowed before we start slowing things down can be configured with `mc admin config set alias/ heal max_io=30`...

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.mockito.Mockito;

- **Logging Abstraction** (`org.codelibs.core.log`) - Flexible logging system supporting JCL (Jakarta Commons Logging) and JUL (Java Util Logging)
- **Concurrent Utilities** (`org.codelibs.core.concurrent`) - Thread-safe collections and concurrency helpers using modern concurrent APIs
- **Crypto & Security** (`org.codelibs.core.crypto`, `org.codelibs.core.security`) - Basic cryptographic utilities, message digest operations, and secure random generation