### Parallel Burgers { #parallel-burgers }

Now let's imagine these aren't "Concurrent Burgers", but "Parallel Burgers".

You go with your crush to get parallel fast food.

You stand in line while several (let's say 8) cashiers that at the same time are cooks take the orders from the people in front of you.

    "groups" : [ {
      "testProject" : "excludeRuleMergingBuild",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
    "groups" : [ {

      log += "three:run@${taskFaker.nanoTime} parallel=${taskFaker.isParallel}"
    }

    taskFaker.advanceUntil(0.µs)
    assertThat(log).isEmpty()

    taskFaker.advanceUntil(100.µs)
    assertThat(log).containsExactlyInAnyOrder(
      "one:run@100000 parallel=true",
      "two:run@100000 parallel=true",
      "three:run@100000 parallel=true",
    )

    taskFaker.assertNoMoreTasks()

  "durations" : [ {
    "testProject" : "excludeRuleMergingBuild",
    "linux" : 233
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
  "durations" : [ {

   * an edge connecting node A to node B if this {@link Network} has an edge connecting A to B.
   *
   * <p>If this network {@link #allowsParallelEdges() allows parallel edges}, parallel edges will be
   * treated as if collapsed into a single edge. For example, the {@link #degree(Object)} of a node
   * in the {@link Graph} view may be less than the degree of the same node in this {@link Network}.
   */

 * <li>{@link #roleFieldName} - Role field name.</li>
 * <li>{@link #langFieldName} - Language field name.</li>
 * <li>{@link #badWords} - List of bad words.</li>
 * <li>{@link #parallel} - Flag for parallel processing.</li>
 * <li>{@link #readingConverter} - Reading converter.</li>
 * <li>{@link #contentsReadingConverter} - Contents reading converter.</li>
 * <li>{@link #normalizer} - Normalizer.</li>

    }

    public Instant getStartInstant() {
        return request.getStartInstant();
    }

    public boolean isParallel() {
        return parallel;
    }

    public void setParallel(boolean parallel) {
        this.parallel = parallel;
    }

    public RepositorySystemSession getRepositorySession() {
        return repositorySystemSession;
    }

	}
	const payloadSize = 512
	rng := rand.New(rand.NewSource(time.Now().UnixNano()))
	payload := make([]byte, payloadSize)
	_, err = rng.Read(payload)
	errFatal(err)

	// Wait for all to connect
	// Parallel writes per server.
	b.Run("bytes", func(b *testing.B) {
		for par := 1; par <= 32; par *= 2 {
			b.Run("par="+strconv.Itoa(par*runtime.GOMAXPROCS(0)), func(b *testing.B) {
				defer timeout(60 * time.Second)()

     * @param readingConverter The reading converter
     * @param contentsReadingConverter The contents reading converter
     * @param normalizer The normalizer
     * @param parallel Whether to use parallel processing
     */
    public ContentIndexingOperations(final Client client, final SuggestSettings settings, final ExecutorService threadPool,

<img src="/img/async/parallel-burgers/parallel-burgers-04.png" class="illustration">

그러다 점원/요리사 👨‍🍳 가 카운터 앞에서 오랫동안 기다린 🕙 끝에 마침내 햄버거를 가지고 돌아옵니다.

<img src="/img/async/parallel-burgers/parallel-burgers-05.png" class="illustration">

여러분은 햄버거를 받아 짝사랑 상대와 테이블로 갑니다.

그냥 먹고, 끝입니다. ⏹

<img src="/img/async/parallel-burgers/parallel-burgers-06.png" class="illustration">