Deleting the cache when it is no longer needed can be done.  However this may delete the purpose of the cache
which is designed to persist between app restarts.

```kotlin
cache.delete()
```

## Pruning the Cache

Pruning the entire Cache to clear space temporarily can be done using evictAll.

```kotlin
cache.evictAll()
```

Removing individual items can be done using the urls iterator.

    protected DataSerializer dataSerializer;

    /** Flag indicating whether to process Google on/off comments */
    protected boolean useGoogleOffOn = true;

    /** Map storing field pruning rules */
    protected Map<String, Boolean> fieldPrunedRuleMap = new HashMap<>();

    /** Cache for storing parsed pruned tags by configuration ID */
    protected Map<String, PrunedTag[]> prunedTagsCache = new HashMap<>();

import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.stream.StreamUtil;
import org.codelibs.fess.exception.FessSystemException;
import org.w3c.dom.Node;

/**
 * Represents a tag configuration for pruning HTML content during document processing.
 * This class defines tag patterns that match HTML elements based on tag name, CSS class, ID, or custom attributes.

 *   <li>Removes managed dependencies that are not used by direct dependencies</li>
 *   <li>Retains only managed dependencies that appear in the resolved dependency tree</li>
 * </ul>
 * <p>
 * <b>Repository and Profile Pruning</b>: The consumer POM removal strategy:
 * <ul>
 *   <li>Removes the central repository (only non-central repositories are kept)</li>
 *   <li>Removes build, mailing lists, issue management, and other build-specific information</li>

flag to support deleting previously applied objects that have been removed from the input manifest. This feature has remained in alpha ever since due to performance and correctness issues inherent in its design. This PR exposes a second, independent pruning alpha powered by a new standard named `ApplySets`. An `ApplySet` is a server-side object (by default, a Secret; ConfigMaps are also allowed) that kubectl can use to accurately and efficiently track set membership across `apply` operations. The format...

- Kube-proxy now correctly...

        *   If you experience issues with oneDNN optimizations on, we recommend
            turning them off.
    *   To explicitly enable or disable oneDNN optimizations, set the
        environment variable `TF_ENABLE_ONEDNN_OPTS` to `1` (enable) or `0`
        (disable) before running TensorFlow. (The variable is checked during
        `import tensorflow`.) To fall back to default settings, unset the

    service.setPort(9200);
});
```

## Performance Tuning

### 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

     * State#RUNNING RUNNING}. This occurs when a service has successfully started.
     */
    public void running() {}

    /**
     * Called when the service transitions to the {@linkplain State#STOPPING STOPPING} state. The
     * only valid values for {@code from} are {@linkplain State#STARTING STARTING} or {@linkplain
     * State#RUNNING RUNNING}. This occurs when {@link Service#stopAsync} is called.

 * It is used to interrupt a running thread when a timeout occurs.
 * The class provides methods to interrupt the thread and stop the timeout target.
 *
 * <p>
 * The class uses a logger to log debug messages.
 * It also uses an AtomicBoolean to track whether the thread is running.
 * </p>
 *
 * <p>
 * The expired method is called when a timeout occurs.
 * It interrupts the running thread up to a maximum number of times.