import static com.google.common.collect.testing.Helpers.copyToSet;
import static java.lang.System.arraycopy;
import static java.util.Arrays.asList;
import static java.util.Collections.frequency;
import static junit.framework.Assert.assertEquals;
import static junit.framework.Assert.fail;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;

import static com.google.common.collect.testing.Helpers.copyToSet;
import static java.lang.System.arraycopy;
import static java.util.Arrays.asList;
import static java.util.Collections.frequency;
import static junit.framework.Assert.assertEquals;
import static junit.framework.Assert.fail;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;

    private String maskSensitiveData(String data) {
        if (data == null || !maskSensitiveData) {
            return data;
        }

        // Performance optimization: skip expensive regex for high-frequency logging
        if (enableHighPerformanceMode) {
            // Fast path: only check for obvious patterns without regex
            String lowerData = data.toLowerCase();

### Thread Configuration

```java
// Optimize thread pool settings
crawler.crawlerContext.setNumOfThread(20);           // Number of crawler threads
crawler.crawlerContext.setMaxThreadCheckCount(50);   // Thread monitoring frequency
```

### Connection Pool Tuning

```java
container.singleton("httpClient", HcHttpClient.class, client -> {
    client.setMaxConnections(200);          // Total connections

   * stream.filter(Predicate.isEqual(element)).count()} instead.
   *
   * @see java.util.Collections#frequency(Collection, Object) Collections.frequency(Collection,
   *     Object)
   */
  public static int frequency(Iterable<?> iterable, @Nullable Object element) {
    if ((iterable instanceof Multiset)) {
      return ((Multiset<?>) iterable).count(element);

     * Determine optimal polling interval based on directory activity and failure count
     *
     * Current strategy is based on failure count. In the future, this could be enhanced to consider:
     * - Recent event frequency (successful notifications)
     * - Time since last successful notification
     * - Events per unit time for more adaptive behavior
     *
     * @param handle notification handle

All replication failures are picked up by the scanner which runs at a one minute frequency, each time scanning up to a sixteenth of the namespace. Object versions marked `PENDING` or `FAILED` are re-queued for replication.

			Key:         config.StorageClassSubSys,
			Description: "define object level redundancy",
		}, config.HelpKV{
			Key:         config.HealSubSys,
			Description: "manage object healing frequency and bitrot verification checks",
		})
	}

	helpMap := map[string]config.HelpKVS{
		"":                          helpSubSys, // Help for all sub-systems.
		config.SiteSubSys:           config.SiteHelp,

          <defaultValue>true</defaultValue>
        </field>
        <field>
          <name>updatePolicy</name>
          <version>1.0.0+</version>
          <description>
            The frequency for downloading updates - can be "always",
            "daily" (default), "interval:XXX" (in minutes) or "never"
            (only if it doesn't exist locally).
          </description>
          <type>String</type>

   * iterator will be left exhausted: its {@code hasNext()} method will return {@code false}.
   *
   * @see Collections#frequency
   */
  public static int frequency(Iterator<?> iterator, @Nullable Object element) {
    int count = 0;
    while (contains(iterator, element)) {
      // Since it lives in the same class, we know contains gets to the element and then stops,