*/
  @CanIgnoreReturnValue
  @Override
  public int setCount(E element, int count) {
    checkNotNull(element);
    checkNonnegative(count, "count");
    while (true) {
      AtomicInteger existingCounter = safeGet(countMap, element);
      if (existingCounter == null) {
        if (count == 0) {
          return 0;
        } else {

     * Stores a crawling configuration in the session-based storage with a unique identifier.
     * The generated session count ID combines the session ID with an incrementing counter.
     *
     * @param sessionId the session identifier
     * @param crawlingConfig the crawling configuration to store
     * @return the unique session count ID that can be used to retrieve the stored configuration
     */

      void doIt(ImmutableLongArray.Builder builder, AtomicLong counter) {
        builder.add(counter.getAndIncrement());
      }
    },
    ADD_ARRAY {
      @Override
      void doIt(ImmutableLongArray.Builder builder, AtomicLong counter) {
        long[] array = new long[random.nextInt(10)];
        for (int i = 0; i < array.length; i++) {
          array[i] = counter.getAndIncrement();
        }
        builder.addAll(array);

            int nextValue = counter + 1;
            Thread.yield();
            counter = nextValue;
            return counter;
          }
        };

    int numThreads = 10;
    int iterations = 1000;
    Thread[] threads = new Thread[numThreads];
    for (int i = 0; i < numThreads; i++) {
      threads[i] =
          new Thread() {
            @Override
            public void run() {

            int nextValue = counter + 1;
            Thread.yield();
            counter = nextValue;
            return counter;
          }
        };

    int numThreads = 10;
    int iterations = 1000;
    Thread[] threads = new Thread[numThreads];
    for (int i = 0; i < numThreads; i++) {
      threads[i] =
          new Thread() {
            @Override
            public void run() {

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**
     * Map containing query facet counts, where keys are decoded query strings
     * and values are document counts for each query.
     */

        final int count = searchLogHelper.getClickCount(url);
        doc.put(clickCountField, count);
        if (logger.isDebugEnabled()) {
            logger.debug("Updated click count: count={}, url={}", count, url);
        }
    }

    /**
     * Adds favorite count information to the document.
     *
     * @param doc the document to update

   * </ul>
   *
   * @throws IllegalArgumentException if {@code node} is not an element of this graph
   */
  @Override
  Set<N> successors(N node);

  /**
   * Returns the count of {@code node}'s incident edges, counting self-loops twice (equivalently,
   * the number of times an edge touches {@code node}).
   *
   * <p>For directed graphs, this is equal to {@code inDegree(node) + outDegree(node)}.
   *

 * The class also provides methods to get the count of access results for a given session,
 * to delete all access results for a given session, and to delete all access results.
 * </p>
 *
 * <p>
 * The class is a singleton, and is injected using the {@link Resource} annotation.
 * </p>
 *
 */
public class DataServiceImpl implements DataService<AccessResultImpl<Long>> {

    /** Counter for generating unique IDs */

            final int count = searchLogHelper.getClickCount(url);
            doc.put(fessConfig.getIndexFieldClickCount(), count);
            if (logger.isDebugEnabled()) {
                logger.debug("Click count: count={}, url={}", count, url);
            }
        }
    }

    /**
     * Adds a favorite count field to the document based on user favorite data.