return b.toString();
        }).collect(Collectors.joining(",")));
        buf.append("},");
        final Threads threads = jvmStats.getThreads();
        buf.append("\"threads\":{");
        append(buf, "count", () -> threads.getCount()).append(',');
        append(buf, "peak", () -> threads.getPeakCount());
        buf.append("},");
        final Classes classes = jvmStats.getClasses();

        Thread[] threads = new Thread[10];

        for (int i = 0; i < threads.length; i++) {
            final int index = i;
            threads[i] = new Thread(() -> {
                instances[index] = LogStream.getInstance();
            });
            threads[i].start();
        }

        for (Thread thread : threads) {
            thread.join();
        }

import okhttp3.internal.okHttpName
import okhttp3.internal.threadFactory

/**
 * A set of worker threads that are shared among a set of task queues.
 *
 * Use [INSTANCE] for a task runner that uses daemon threads. There is not currently a shared
 * instance for non-daemon threads.
 *
 * The task runner is also responsible for releasing held threads when the library is unloaded.

    for (int i = 0; i < numThreads; i++) {
      threads[i] =
          new Thread() {
            @Override
            public void run() {
              assertSame(Boolean.TRUE, memoizedSupplier.get());
            }
          };
    }
    for (Thread t : threads) {
      t.start();
    }
    for (Thread t : threads) {
      t.join();
    }

    if (thrown.get() != null) {

    for (int i = 0; i < numThreads; i++) {
      threads[i] =
          new Thread() {
            @Override
            public void run() {
              assertSame(Boolean.TRUE, memoizedSupplier.get());
            }
          };
    }
    for (Thread t : threads) {
      t.start();
    }
    for (Thread t : threads) {
      t.join();
    }

    if (thrown.get() != null) {

                } finally {
                    endLatch.countDown();
                }
            });
        }

        startLatch.countDown(); // Start all threads
        assertTrue(endLatch.await(30, TimeUnit.SECONDS), "All threads should complete within timeout");
        executor.shutdown();

        long overallEnd = System.nanoTime();
        double overallTimeMs = (overallEnd - overallStart) / 1_000_000.0;

import org.opensearch.action.admin.cluster.node.hotthreads.NodesHotThreadsResponse;
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 {

        int threadCount = 10;
        Thread[] threads = new Thread[threadCount];

        // When - multiple threads call setFileId concurrently
        for (int i = 0; i < threadCount; i++) {
            final int index = i;
            threads[i] = new Thread(() -> {
                byte[] threadFileId = new byte[16];

     * Interval in milliseconds between crawler thread executions.
     * Used to control the rate at which new crawler threads are started
     * and the frequency of status checks.
     */
    protected long crawlingExecutionInterval = Constants.DEFAULT_CRAWLING_EXECUTION_INTERVAL;

    /**
     * Thread priority for crawler threads.
     * Defaults to normal thread priority.
     */
    protected int crawlerPriority = Thread.NORM_PRIORITY;

   * This is useful if the given service uses daemon threads, and we want to keep the JVM from
   * exiting immediately on shutdown, instead giving these daemon threads a chance to terminate
   * normally.
   *
   * @param service ExecutorService which uses daemon threads
   * @param terminationTimeout how long to wait for the executor to finish before terminating the
   *     JVM