import java.util.concurrent.BlockingQueue;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.ConcurrentNavigableMap;
import java.util.concurrent.DelayQueue;
import java.util.concurrent.Executor;
import java.util.concurrent.PriorityBlockingQueue;
import java.util.concurrent.SynchronousQueue;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.TimeUnit;

        if (cleanupTask != null) {
            cleanupTask.cancel(false);
        }

        // Force cleanup of all resources
        int cleaned = forceCleanup();

        // Shutdown executor
        cleanupExecutor.shutdown();
        try {
            if (!cleanupExecutor.awaitTermination(5, TimeUnit.SECONDS)) {
                cleanupExecutor.shutdownNow();
            }

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val executor = Executors.newScheduledThreadPool(1)
      private val client = OkHttpClient()

      fun run() {
        val request = Request.Builder()

      get() = originalRequest

    val call: RealCall
      get() = this@RealCall

    /**
     * Attempt to enqueue this async call on [executorService]. This will attempt to clean up
     * if the executor has been shut down by reporting the call as failed.
     */
    fun executeOn(executorService: ExecutorService) {
      client.dispatcher.assertLockNotHeld()

      var success = false
      try {

        thumbnailQueueBhv.batchInsert(list);
    }

    /**
     * Generates thumbnails using the provided executor service.
     *
     * @param executorService the executor service for parallel processing
     * @param cleanup whether to run in cleanup mode
     * @return the number of tasks processed
     */

      if (activeTask == null && futureTasks.isEmpty()) {
        return CountDownLatch(0)
      }

      // If there's an existing AwaitIdleTask, use it. This is necessary when the executor is
      // shutdown but still busy as we can't enqueue in that case.
      val existingTask = activeTask
      if (existingTask is AwaitIdleTask) {
        return existingTask.latch
      }

import java.util.concurrent.BlockingQueue;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.ConcurrentNavigableMap;
import java.util.concurrent.DelayQueue;
import java.util.concurrent.Executor;
import java.util.concurrent.PriorityBlockingQueue;
import java.util.concurrent.SynchronousQueue;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.TimeUnit;

#### Do-stuff-later pool

Sometimes there's an action required like calling the application layer or responding to a ping, and the thread discovering the action is not the thread that should do the work. We enqueue a runnable on this executor and it gets handled by one of the executor's threads.

### Locks

We have 3 different things that we synchronize on.

#### Http2Connection

          <groupId>org.apache.rat</groupId>
          <artifactId>apache-rat-plugin</artifactId>
          <configuration>
            <excludes combine.children="append">
              <exclude>lifecycle-executor.txt</exclude>
              <exclude>plugin-manager.txt</exclude>
              <exclude>project-builder.txt</exclude>
              <exclude>src/site/resources/design/**</exclude>
            </excludes>

  fun synchronousRequest() {
    server.enqueue(MockResponse(body = "A"))
    server.enqueue(MockResponse(body = "A"))
    val executor = Executors.newCachedThreadPool(threadFactory("HttpOverHttp2Test"))
    val countDownLatch = CountDownLatch(2)
    executor.execute(AsyncRequest("/r1", countDownLatch))
    executor.execute(AsyncRequest("/r2", countDownLatch))
    countDownLatch.await()
    assertThat(server.takeRequest().exchangeIndex).isEqualTo(0)