Just run `gradlew -p benchmarks run` from the project root
directory. It will build all microbenchmarks, execute them and print
the result.

## Running Microbenchmarks

Running via an IDE is not supported as the results are meaningless
because we have no control over the JVM running the benchmarks.

If you want to run a specific benchmark class like, say,
`MemoryStatsBenchmark`, you can use `--args`:

```

        helper.setCrawlerWaitMillis(50);

        // Test when crawler is running
        assertTrue(helper.isCrawlerRunning());
        long start = System.currentTimeMillis();
        helper.checkCrawlerStatus();
        long end = System.currentTimeMillis();
        assertTrue(end - start < 100); // Should return quickly

        // Test when crawler is not running
        helper.setCrawlerRunning(false);

        original.put("status", "running");
        original.put("createdTime", 1234567890L);

        final String json = coordinatorHelper.toJson(original);
        final Map<String, Object> parsed = coordinatorHelper.parseJson(json);

        assertEquals("operation", parsed.get("type"));
        assertEquals("reindex", parsed.get("name"));
        assertEquals("running", parsed.get("status"));

* **After** obtaining a secure connection, the communication protocol is **still HTTP**.
    * The contents are **encrypted**, even though they are being sent with the **HTTP protocol**.

      }

      /**
       * Implementation of completing a task. Either {@code v} or {@code t} will be set but not
       * both. The {@code finalState} is the state to change to from {@link #RUNNING}. If the state
       * is not in the RUNNING state we return {@code false} after waiting for the state to be set
       * to a valid final state ({@link #COMPLETED}, {@link #CANCELLED}, or {@link #INTERRUPTED}).
       *

final class Serialization {
  private Serialization() {}

  /**
   * Stores the contents of a map in an output stream, as part of serialization. It does not support
   * concurrent maps whose content may change while the method is running.
   *
   * <p>The serialized output consists of the number of entries, first key, first value, second key,
   * second value, and so on.
   */
  static <K extends @Nullable Object, V extends @Nullable Object> void writeMap(

     *
     * @return an {@link Optional} containing the input stream, or empty if not applicable
     */
    @Nonnull
    default Optional<InputStream> stdIn() {
        return Optional.ofNullable(parserRequest().stdIn());
    }

    /**
     * Returns the output stream for the Maven execution, if running in embedded mode.
     *

          nanos -= System.nanoTime() - now; // subtract the actual time we waited
        }
      }
    }
  }

  /**
   * Checks if the executor has been shut down and increments the running task count.
   *
   * @throws RejectedExecutionException if the executor has been previously shutdown
   */
  private void startTask() {
    synchronized (lock) {
      if (shutdown) {

            ThreadUtil.sleep(sleepTime);
            count++;
            final Map<String, Object> scheduler = getSchedulerItem(namePrefix);
            assertTrue(scheduler.containsKey("running"));
            isRunning = (Boolean) scheduler.get("running");

            // Exponential backoff: gradually increase sleep time up to 300ms
            if (count % 5 == 0 && sleepTime < 300) {

We don't break binary compatibility with non-alpha APIs.


## Version 5.0.0-alpha.16

_2025-05-29_

 *  Fix: The previous release would crash when running on Robolectric. We didn't anticipate
    running our Android artifact on the JVM platform!


## Version 5.0.0-alpha.15

_2025-05-28_