queue.addListener(listener, directExecutor());

    Multiset<Object> counters = ConcurrentHashMultiset.create();
    queue.enqueue(incrementingEvent(counters, listener, 1));
    queue.enqueue(incrementingEvent(counters, listener, 2));
    queue.enqueue(incrementingEvent(counters, listener, 3));
    queue.enqueue(incrementingEvent(counters, listener, 4));
    assertEquals(0, counters.size());
    queue.dispatch();

    queue.addListener(listener, directExecutor());

    Multiset<Object> counters = ConcurrentHashMultiset.create();
    queue.enqueue(incrementingEvent(counters, listener, 1));
    queue.enqueue(incrementingEvent(counters, listener, 2));
    queue.enqueue(incrementingEvent(counters, listener, 3));
    queue.enqueue(incrementingEvent(counters, listener, 4));
    assertEquals(0, counters.size());
    queue.dispatch();

     *
     * @return true if the problem collector has overflowed and some problems were not preserved
     */
    boolean problemsOverflow();

    /**
     * Reports a problem: always maintains the counters, but whether problem is preserved in memory, depends on
     * implementation and its configuration.
     *
     * @param problem the problem to report
     * @return {@code true} if passed problem is preserved by this call.

projects: ["golang/29"]
body:
- type: textarea
  attributes:
    label: Summary
    description: >
      What change are you proposing to the upload configuration, and why?
      For new upload configuration, which new counters will be collected, what
      do they measure, and why is it important to collect them?
      Note that uploaded data must not carry sensitive user information.

	// latency and update its and all subsequent counters.
	bucket := slices.IndexFunc(k.latencyBuckets, func(b time.Duration) bool { return latency < b })
	if bucket < 0 {
		bucket = len(k.latencyBuckets) - 1
	}
	for i := bucket; i < len(k.latency); i++ {
		k.latency[i].Add(1)
	}

	// Next, update the request counters
	if err == nil {
		k.reqOK.Add(1)
		return
	}

    public String createdTime;

    /** Version number for optimistic locking. */
    public String versionNo;

    /**
     * Clears all pagination state and filter parameters.
     * Resets pagination counters to default values and clears all filter fields.
     */
    public void clear() {
        allRecordCount = 0;
        allPageCount = 0;
        existPrePage = false;
        existNextPage = false;

    public String createdTime;

    /** Search parameter: version number */
    public String versionNo;

    /**
     * Clears all pagination data and search parameters.
     * Resets counters, flags, and search form fields to their default values.
     */
    public void clear() {
        allRecordCount = 0;
        allPageCount = 0;
        existPrePage = false;
        existNextPage = false;

        logger.resetStatistics();

        Map<EventType, Long> statsAfter = logger.getStatistics();
        // After reset, all counters should be 0
        for (Long count : statsAfter.values()) {
            assertEquals(Long.valueOf(0), count, "All statistics should be 0 after reset");
        }
    }

    @Test

     */
    public static SecurityAuditLogger getInstance() {
        return SingletonHolder.INSTANCE;
    }

    private SecurityAuditLogger() {
        // Initialize event counters
        for (EventType type : EventType.values()) {
            eventCounters.put(type, new AtomicLong(0));
            eventTimings.put(type, new AtomicLong(0));
        }

        // Start async logging processor

**Template Method**: `AbstractCrawlerClient`, `AbstractExtractor` - common logic with overrides
**DI**: LastaFlute container with `@Resource` and XML config

### Core Principles

**Thread Safety**:
- `AtomicLong` for counters (`CrawlerContext.accessCount`)
- `volatile` for status flags
- Synchronized blocks for critical sections
- Thread-local storage via `CrawlingParameterUtil`

**Resource Management**:
- `AutoCloseable` throughout