* @return the timeout in 100-nanosecond intervals
     */
    public long getTimeout100Ns() {
        return timeout100Ns;
    }

    /**
     * Get the timeout value converted to milliseconds
     * @return the timeout in milliseconds
     */
    public long getTimeoutMs() {
        if (timeout100Ns == 0) {
            return 0; // Persistent handles
        }

    for (char value : VALUES) {
      assertThat(Chars.checkedCast((long) value)).isEqualTo(value);
    }
    assertCastFails(GREATEST + 1L);
    assertCastFails(LEAST - 1L);
    assertCastFails(Long.MAX_VALUE);
    assertCastFails(Long.MIN_VALUE);
  }

  public void testSaturatedCast() {
    for (char value : VALUES) {
      assertThat(Chars.saturatedCast((long) value)).isEqualTo(value);
    }

            dos.writeInt(Integer.reverseBytes(10));
            dos.writeLong(Long.reverseBytes(100));

            dos.writeInt(Integer.reverseBytes(PacConstants.SERVER_CHECKSUM));
            dos.writeInt(Integer.reverseBytes(16));
            dos.writeLong(Long.reverseBytes(200));

            dos.writeInt(Integer.reverseBytes(PacConstants.PRIVSVR_CHECKSUM));

 */
public class FacetResponse {
    /**
     * Map containing query facet counts, where keys are decoded query strings
     * and values are document counts for each query.
     */
    protected Map<String, Long> queryCountMap = new LinkedHashMap<>();

    /**
     * List of field facets containing aggregated field values and their counts.
     */
    protected List<Field> fieldList = new ArrayList<>();

    /**

 * Implementations can specify how long cached data should be retained.
 *
 * @since 4.0.0
 */
@Experimental
public interface CacheMetadata {

    /**
     * Returns the cache retention that should be applied to the associated data.
     *
     * @return The CacheRetention indicating how long data should be retained, or null if
     *         no specific cache retention is defined

            false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnCreatedTime = cci("createdTime", "createdTime", null, null, Long.class, "createdTime", null, false,
            false, false, "Long", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnProcessType = cci("processType", "processType", null, null, String.class, "processType", null, false,

            false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnCreatedTime = cci("createdTime", "createdTime", null, null, Long.class, "createdTime", null, false,
            false, false, "Long", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnDepth = cci("depth", "depth", null, null, Integer.class, "depth", null, false, false, false,

 * subsequent bytes.
 */
internal class TriggerSink(
  private val delegate: Sink,
  private val triggerByteCount: Long,
  private val trigger: () -> Unit,
) : Sink by delegate {
  private var bytesWritten = 0L

  override fun write(
    source: Buffer,
    byteCount: Long,
  ) {
    if (byteCount == 0L) return // Avoid double-triggering.

    if (bytesWritten == triggerByteCount) {

        return asDocMeta().id();
    }

    public void setId(final String id) {
        asDocMeta().id(id);
    }

    @Override
    public Long getVersionNo() {
        return asDocMeta().version();
    }

    public void setVersionNo(final Long version) {
        asDocMeta().version(version);
    }

    public void addSearchFieldLogValue(final String name, final String value) {

        }
      }
    ],
    "properties": {
      "anchor": {
        "type": "keyword"
      },
      "boost": {
        "type": "float"
      },
      "click_count": {
        "type": "long"
      },
      "config_id": {
        "type": "keyword"
      },
      "important_content": {
        "type": "text",
        "analyzer": "standard_analyzer",