if (value instanceof Entity) {
            data.register(key, BeanUtil.copyBeanToNewMap(value));
        } else {
            if (value instanceof final Collection<?> coll && !coll.isEmpty()) {
                // care performance for List that the most frequent pattern
                final Object first = coll instanceof List<?> ? ((List<?>) coll).get(0) : coll.iterator().next();
                if (first instanceof Entity) {

 *
 * <p>The core interface used to represent caches is {@link Cache}. In-memory caches can be
 * configured and created using {@link CacheBuilder}, with cache entries being loaded by {@link
 * CacheLoader}. Statistics about cache performance are exposed using {@link CacheStats}.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/CachesExplained">caches</a>.
 *

// Returns true if no error and there is no object or prefix inside this directory
func isDirEmpty(dirname string, legacy bool) bool {
	if legacy {
		// On filesystems such as btrfs, nfs this is not true, so fallback
		// to performing readdir() instead.
		entries, err := readDirN(dirname, 1)
		if err != nil {
			return false
		}
		return len(entries) == 0
	}
	var stat syscall.Stat_t
	if err := syscall.Stat(dirname, &stat); err != nil {

   * inputs. All valid inputs must pass this regex, but it's semantically fine if not all inputs
   * that pass this regex are valid -- only a performance hit is incurred, not a semantics bug.
   */
  @GwtIncompatible // regular expressions
  static final
  java.util.regex.Pattern
      FLOATING_POINT_PATTERN = fpPattern();

Contributor. If that Commercial Contributor then makes performance
claims, or offers warranties related to Product X, those performance
claims and warranties are such Commercial Contributor's responsibility
alone. Under this section, the Commercial Contributor would have to
defend claims against the other Contributors related to those performance
claims and warranties, and if a court requires any other Contributor to

     * </p>
     *
     * @param handler the handler to process resources
     */
    void forEach(ResourceHandler handler);

    /**
     * Performs post-processing of resources.
     */
    void close();

 * <li>Manages cleanup of processed crawler session data</li>
 * </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);

        this.dataConfigIds = dataConfigIds;
        return this;
    }

    /**
     * Sets the hot thread monitoring interval for performance analysis.
     * Hot threads help identify performance bottlenecks in the crawler process.
     *
     * @param hotThreadInterval monitoring interval in seconds, -1 to disable
     * @return this CrawlJob instance for method chaining
     */

import java.io.OutputStream;
import java.io.StringReader;
import java.io.StringWriter;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/** Benchmark for {@code BaseEncoding} performance. */
@NullUnmarked
public class BaseEncodingBenchmark {
  private static final int INPUTS_COUNT = 0x1000;
  private static final int INPUTS_MASK = 0xFFF;

  enum EncodingOption {
    BASE64(BaseEncoding.base64()),

 * @author Kurt Alfred Kluever
 */
enum BloomFilterStrategies implements BloomFilter.Strategy {
  /**
   * See "Less Hashing, Same Performance: Building a Better Bloom Filter" by Adam Kirsch and Michael
   * Mitzenmacher. The paper argues that this trick doesn't significantly deteriorate the
   * performance of a Bloom filter (yet only needs two 32bit hash functions).
   */
  MURMUR128_MITZ_32() {
    @Override