this.analyzer = analyzer;
        return this;
    }

    /**
     * Sets the thread pool.
     * @param threadPool The thread pool.
     * @return This builder instance.
     */
    public SuggesterBuilder threadPool(final ExecutorService threadPool) {
        this.threadPool = threadPool;
        return this;
    }

    /**
     * Sets the thread pool size.

        }
    }

    /**
     * Sets the thread pool for executing the request.
     *
     * @param threadPool the thread pool
     * @return this CurlRequest instance
     */
    public CurlRequest threadPool(final ForkJoinPool threadPool) {
        this.threadPool = threadPool;
        return this;
    }

    /**
     * Sets the connection and read timeouts for the request.
     *

     * @param settings The suggest settings.
     * @param threadPool The thread pool.
     */
    public SuggestIndexer(final Client client, final String index, final ReadingConverter readingConverter,
            final ReadingConverter contentsReadingConverter, final Normalizer normalizer, final SuggestAnalyzer analyzer,
            final SuggestSettings settings, final ExecutorService threadPool) {
        this.client = client;

   * be a SynchronousQueue.
   */
  private ExecutorService threadPool;

  @Override
  public void setUp() {
    threadPool = newCachedThreadPool();
  }

  @Override
  public void tearDown() throws InterruptedException {
    threadPool.shutdown();
    assertTrue("Some worker didn't finish in time", threadPool.awaitTermination(10, SECONDS));
  }

  private static <T> int drain(

        this.analyzer = Objects.requireNonNull(analyzer, "analyzer must not be null");
        index = settings.getAsString(SuggestSettings.DefaultKeys.INDEX, StringUtil.EMPTY);
        this.threadPool = Objects.requireNonNull(threadPool, "threadPool must not be null");

        if (logger.isDebugEnabled()) {
            logger.debug("Created suggester instance: index={}", index);
        }
    }

    /**

    int deltaRange = 10000;
    String key = "key";

    AtomicLongMap<String> map = AtomicLongMap.create();

    ExecutorService threadPool = newFixedThreadPool(nThreads);
    ArrayList<Future<Long>> futures = new ArrayList<>();
    for (int i = 0; i < nTasks; i++) {
      futures.add(
          threadPool.submit(
              new Callable<Long>() {
                @Override
                public Long call() {

        To be awaitable, compatible with async, this is run in threadpool.
        """
        return await super().seek(offset)

    async def close(self) -> None:
        """
        Close the file.

        To be awaitable, compatible with async, this is run in threadpool.
        """
        return await super().close()

    @classmethod

    int deltaRange = 10000;
    String key = "key";

    AtomicLongMap<String> map = AtomicLongMap.create();

    ExecutorService threadPool = newFixedThreadPool(nThreads);
    ArrayList<Future<Long>> futures = new ArrayList<>();
    for (int i = 0; i < nTasks; i++) {
      futures.add(
          threadPool.submit(
              new Callable<Long>() {
                @Override
                public Long call() {

            final boolean parallel) {
        this.client = client;
        this.settings = settings;
        this.threadPool = threadPool;
        this.indexingOps = indexingOps;
        this.contentsParser = contentsParser;
        this.analyzer = analyzer;
        this.readingConverter = readingConverter;
        this.contentsReadingConverter = contentsReadingConverter;
        this.normalizer = normalizer;

  // TODO(b/113217601): This is needed for EagerContext::runner_ to use a
  // threadpool, so that we avoid the possibility of running the runner_ in the
  // threadpool of GPU event mgr, as that can trigger more callbacks to be
  // scheduled on that same threadpool, causing a deadlock in cases where the
  // caller of event_mgr->ThenExecute() blocks on the completion of the callback