* This processor supports searching with multiple searchers concurrently and merging their results based on
 * ranking scores to provide more comprehensive and accurate search results.
 *
 * The processor maintains a pool of searchers and an executor service for concurrent operations.
 * It implements rank fusion techniques to combine results from different search engines
 * and provides a unified search interface.
 */

            }
            logger.info("Disconnected from {}", address);
        }
        connected = false;
    }

    /**
     * Gets the thread pool from the underlying client.
     *
     * @return The thread pool.
     */
    @Override
    public ThreadPool threadPool() {
        return client.threadPool();
    }

    /**

            UrlQueue urlQueue;
            while ((urlQueue = urlQueueService.poll(sessionId1)) != null) {
                assertTrue(urlQueue.getUrl().startsWith(url1));
            }
            while ((urlQueue = urlQueueService.poll(sessionId2)) != null) {
                assertTrue(urlQueue.getUrl().startsWith(url2));
            }

**Suggestions Not Appearing**
- Confirm documents are indexed: `suggester.refresh()`
- Check query formatting and filters
- Verify analyzer configurations

**Performance Issues**
- Increase thread pool size in SuggesterBuilder
- Optimize batch sizes for indexing operations
- Review OpenSearch cluster performance

**Memory Usage**
- Configure appropriate JVM heap settings
- Monitor index sizes and optimize mappings

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 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.crawler.pool;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicInteger;

import org.apache.commons.pool2.PooledObject;

        });

        Thread reader = new Thread(new Runnable() {
            @Override
            public void run() {
                try {
                    statusSetLatch.countDown();
                    // Poll for status change instead of fixed sleep
                    long startTime = System.currentTimeMillis();
                    while (System.currentTimeMillis() - startTime < 500) {

f"}.fa-plug:before{content:"\f1e6"}.fa-plus:before{content:"\f067"}.fa-plus-circle:before{content:"\f055"}.fa-plus-square:before{content:"\f0fe"}.fa-podcast:before{content:"\f2ce"}.fa-poll:before{content:"\f681"}.fa-poll-h:before{content:"\f682"}.fa-poo:before{content:"\f2fe"}.fa-poo-storm:before{content:"\f75a"}.fa-poop:before{content:"\f619"}.fa-portrait:before{content:"\f3e0"}.fa-pound-sign:before{content:"\f154"}.fa-power-off:before{content:"\f011"}.fa-pray:before{content:"\f683"}.fa-praying...

        
        synchronized (pendingNotifications) {
            while (!pendingNotifications.isEmpty() && batch.size() < batchSize) {
                batch.add(pendingNotifications.poll());
            }
        }
        
        if (!batch.isEmpty()) {
            processNotificationBatch(batch);
        }
    }
    

            final List<Tuple3<String, String, String>> taskList = new ArrayList<>();
            while (generating) {
                try {
                    final Tuple3<String, String, String> task = thumbnailTaskQueue.poll(thumbnailTaskQueueTimeout, TimeUnit.MILLISECONDS);
                    if (task == null) {
                        if (!taskList.isEmpty()) {
                            storeQueue(taskList);
                        }