+ ", hotThread=" + hotThread + "]";
        }

    }

    /**
     * Initializes OpenSearch monitoring probes.
     * Forces the loading of process, OS, and JVM monitoring probes
     * to ensure they are available for system monitoring during crawling.
     */
    static void initializeProbes() {
        // Force probes to be loaded
        ProcessProbe.getInstance();

     * @return the timeout task for monitoring
     */
    public TimeoutTask startMonitorTask(final JobLog jobLog) {
        final TimeoutTarget target = new MonitorTarget(jobLog);
        return TimeoutManager.getInstance().addTimeoutTarget(target, monitorInterval, true);
    }

    /**
     * Sets the monitor interval for job monitoring.
     *

import org.opensearch.common.unit.TimeValue;

/**
 * Monitor target for tracking hot threads in the OpenSearch cluster.
 * This class extends MonitorTarget to provide monitoring functionality for
 * hot threads, which helps identify performance bottlenecks and resource
 * usage issues in the search engine cluster.
 */
public class HotThreadMonitorTarget extends MonitorTarget {

            // If we get here, the method executed successfully
            assertTrue("expired method executed successfully", true);
        } catch (Throwable t) {
            // In test environments, system monitoring may fail due to missing dependencies
            // or restricted access to system resources. This is acceptable.
            // We primarily want to ensure the method can be called without compilation errors

            return "Options [sessionId=" + sessionId + ", name=" + name + ", propertiesPath=" + propertiesPath + "]";
        }
    }

    /**
     * Initializes the necessary probes for monitoring system resources.
     */
    static void initializeProbes() {
        // Force probes to be loaded
        ProcessProbe.getInstance();
        OsProbe.getInstance();
        JvmInfo.jvmInfo();
    }

 *   <li>Thread pool management for crawler execution</li>
 *   <li>Session-based crawling with cleanup operations</li>
 *   <li>Old document deletion after successful crawling</li>
 *   <li>Crawling execution monitoring and timing</li>
 * </ul>
 */
public class DataIndexHelper {

    /** Logger instance for this class */
    private static final Logger logger = LogManager.getLogger(DataIndexHelper.class);

 *
 * <h4>Frameworks</h4>
 *
 * <p>When chaining together a graph of asynchronous operations, you will often find it easier to
 * use a framework. Frameworks automate the process, often adding features like monitoring,
 * debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *

        }
        return response.getStatus().getStatus();
    }

    /**
     * Calculates the memory size of a document data map.
     * This is useful for monitoring memory usage during indexing operations.
     *
     * @param dataMap the document data as a map of field names to values
     * @return the estimated memory size in bytes
     */

 * </ul>
 *
 * <p>The updater runs continuously until crawling is finished and all documents are processed.
 * It includes error handling, retry logic, and performance monitoring capabilities.
 *
 */
public class IndexUpdater extends Thread {
    /** Logger for this class */
    private static final Logger logger = LogManager.getLogger(IndexUpdater.class);

 * Futures#transform(ListenableFuture, Function, Executor) Futures.transform}, but you will often
 * find it easier to use a framework. Frameworks automate the process, often adding features like
 * monitoring, debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *