* Set to -1 to disable automatic cleanup.
     */
    @Required
    @Min(-1)
    @Max(1000)
    @ValidateTypeFailure
    public Integer dayForCleanup;

    /**
     * Number of threads to use for crawling operations.
     * Higher values increase crawling speed but consume more resources.
     */
    @Required
    @Min(0)
    @Max(100)
    @ValidateTypeFailure
    public Integer crawlingThreadCount;

      --enable-gnu-unique-object \
      --enable-initfini-array \
      --enable-languages="c,c++" \
      --enable-linker-build-id \
      --enable-plugin \
      --enable-shared \
      --enable-threads=posix \
      --with-default-libstdcxx-abi=${LIBSTDCXX_ABI} \
      --with-gcc-major-version-only \
      --with-linker-hash-style="gnu" \
      --with-tune="generic" \
      && \
    make -j 42 && \

 *  New: Share threads more aggressively between OkHttp's HTTP/2 connections, connection pool,
    web sockets, and cache. OkHttp has a new internal task runner abstraction for managed task
    scheduling. In your debugger you will see new thread names and more use of daemon threads.

 *  Fix: Don't drop callbacks on unexpected exceptions. When an interceptor throws an unchecked

import okhttp3.internal.okHttpName

/**
 * A set of tasks that are executed in sequential order.
 *
 * Work within queues is not concurrent. This is equivalent to each queue having a dedicated thread
 * for its work; in practice a set of queues may share a set of threads to save resources.
 */
class TaskQueue internal constructor(
  internal val taskRunner: TaskRunner,
  internal val name: String,
) {
  internal var shutdown = false

 * string {@code "Foo<Bar>"}.
 *
 * <p>An {@code Escaper} instance is required to be stateless, and safe when used concurrently by
 * multiple threads.
 *
 * <p>Because, in general, escaping operates on the code points of a string and not on its
 * individual {@code char} values, it is not safe to assume that {@code escape(s)} is equivalent to

  /** All listeners. */
  volatile @Nullable Listener listenersField;

  /** All waiting threads. */
  volatile @Nullable Waiter waitersField;

  /** Non-volatile write of the thread to the {@link Waiter#thread} field. */
  private static void putThread(Waiter waiter, Thread newValue) {
    ATOMIC_HELPER.putThread(waiter, newValue);
  }

labels.includedDocPaths=Pad(en) om op te nemen in zoeken
labels.includedDocUrls=URL(s) om op te nemen in zoeken
labels.maxAccessCount=Maximaal aantal toegangspogingen
labels.name=Naam
labels.numOfThread=Aantal threads
labels.duplicateHostName=Dubbele naam
labels.pageNumber=Paginanummer
labels.password=Wachtwoord
labels.paths=Paden
labels.port=Poort
labels.regex=Reguliere expressie
labels.regularName=Reguliere naam

But before that, handling asynchronous code was quite more complex and difficult.

In previous versions of Python, you could have used threads or <a href="https://www.gevent.org/" class="external-link" target="_blank">Gevent</a>. But the code is way more complex to understand, debug, and think about.

   * {@code directExecutor} functions should avoid heavyweight operations inside {@code
   * AsyncFunction.apply}. Any heavyweight operations should occur in other threads responsible for
   * completing the returned {@code Future}.)
   *
   * <p>This method is similar to {@link java.util.concurrent.CompletableFuture#exceptionally}. It

 * evicted or manually invalidated. The common way to build instances is using {@link CacheBuilder}.
 *
 * <p>Implementations of this interface are expected to be thread-safe, and can be safely accessed
 * by multiple concurrent threads.
 *
 * @param <K> the type of the cache's keys, which are not permitted to be null
 * @param <V> the type of the cache's values, which are not permitted to be null
 * @author Charles Fry