assertNotNull(map);
            // Verify it works by testing a known mapping
            assertEquals("application/pdf", map.getMimeType("pdf"));
        }
    }

    @Nested
    @DisplayName("Performance and concurrency")
    class PerformanceTests {

        @Test
        @DisplayName("Should handle multiple lookups efficiently")
        void testMultipleLookups() throws IOException {

            assertEquals(0, transport.getResponseMapSize());
            // Response map is accessible through protected field for testing
            // but we avoid complex interactions here for performance
        }
    }

 *       mutable objects as elements at all, as many users may expect your "immutable" object to be
 *       <i>deeply</i> immutable.
 * </ul>
 *
 * <h4>Performance notes</h4>
 *
 * <ul>
 *   <li>Implementations can be generally assumed to prioritize memory efficiency, then speed of
 *       access, and lastly speed of creation.

/**
 * Job for purging old log entries from the system.
 * This job removes old crawling sessions, search logs, job logs, and user info logs
 * based on configured retention periods. It helps maintain system performance by
 * preventing log tables from growing too large.
 */
public class PurgeLogJob {

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

authors:
  - family-names: Abadi
    given-names: Martín
  - family-names: Agarwal
    given-names: Ashish
  - family-names: Barham
    given-names: Paul

_2020-03-17_

**This release candidate turns on web socket compression.**

The [spec][rfc_7692] includes a sophisticated mechanism for client and server to negotiate
compression features. We strive to offer great performance in our default configuration and so we're
making compression the default for everyone starting with this release candidate.

Please be considerate of your servers and their operators as you roll out this release. Compression

    protected TimeZone localTimeZone;
    /** Secure random generator for cryptographic operations */
    protected SecureRandom random;
    /** Whether to use command batching for improved performance */
    protected boolean useBatching = false;
    /** Whether to use Unicode encoding for strings */
    protected boolean useUnicode = true;
    /** Force use of Unicode encoding regardless of negotiation */

    // TODO(kevinb): check more preconditions (as bufferSize >= chunkSize) if this is ever public
    checkArgument(bufferSize % chunkSize == 0);

    // TODO(user): benchmark performance difference with longer buffer
    // always space for a single primitive
    this.buffer = ByteBuffer.allocate(bufferSize + 7).order(ByteOrder.LITTLE_ENDIAN);
    this.bufferSize = bufferSize;
    this.chunkSize = chunkSize;

   * This implementation requires O(|N|) time. Classes extending this one may manually keep track of
   * the number of edges as the graph is updated, and override this method for better performance.
   */
  protected long edgeCount() {
    long degreeSum = 0L;
    for (N node : nodes()) {
      degreeSum += degree(node);
    }

import java.util.PriorityQueue;
import java.util.Queue;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;
import org.jspecify.annotations.Nullable;

/**
 * Benchmarks to compare performance of MinMaxPriorityQueue and PriorityQueue.
 *
 * @author Sverre Sundsdal
 */
@NullUnmarked
public class MinMaxPriorityQueueBenchmark {
  @Param private ComparatorType comparator;