final String json = "{\"hits\":{\"hits\":[{\"_source\":{\"instanceId\":\"test\",\"hostname\":\"host1\"}}]}}";
        final Map<String, Object> result = coordinatorHelper.parseJson(json);

        final Map<String, Object> hits = coordinatorHelper.getMapValue(result, "hits");
        assertNotNull(hits);

        final List<Map<String, Object>> hitList = coordinatorHelper.getListValue(hits, "hits");
        assertNotNull(hitList);

# Maximum concurrent group results for collapse queries.
query.collapse.max.concurrent.group.results=4
# Inner hits name for collapse queries.
query.collapse.inner.hits.name=similar_docs
# Inner hits size for collapse queries.
query.collapse.inner.hits.size=0
# Sorts for inner hits in collapse queries.
query.collapse.inner.hits.sorts=
# Default languages for queries.
query.default.languages=
# Default preference for JSON queries.

## Version 3.11.0

_2018-07-12_

 *  **OkHttp's new okhttp-tls submodule tames HTTPS and TLS.**

    `HeldCertificate` is a TLS certificate and its private key. Generate a certificate with its
    builder then use it to sign another certificate or perform a TLS handshake. The
    `certificatePem()` method encodes the certificate in the familiar PEM format

{
  "took" : 40,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" : 0
  },
  "hits" : {
    "total" : 1,
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "minio_events",
        "_type" : "event",
        "_id" : "images/myphoto.jpg",
        "_score" : 1.0,
        "_source" : {

    }

    // Cause the rebuild action to fail.
    filesystem.setFaultyRename(cacheDir / DiskLruCache.JOURNAL_FILE_BACKUP, true)
    taskFaker.runNextTask()

    // The rebuild is retried on cache hits and on cache edits.
    val snapshot = cache["b"]!!
    snapshot.close()
    assertThat(cache.edit("d")).isNull()
    assertThat(taskFaker.isIdle()).isFalse()

    // On cache misses, no retry job is queued.

	var field []byte
	_ = field
	var zb0001 uint32
	zb0001, err = dc.ReadMapHeader()
	if err != nil {
		err = msgp.WrapError(err)
		return
	}
	var zb0001Mask uint8 /* 1 bits */
	_ = zb0001Mask
	for zb0001 > 0 {
		zb0001--
		field, err = dc.ReadMapKeyPtr()
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		switch msgp.UnsafeString(field) {
		case "V2Obj":

        return new AbstractIterator<Set<E>>() {
          final BitSet bits = new BitSet(index.size());

          @Override
          protected @Nullable Set<E> computeNext() {
            if (bits.isEmpty()) {
              bits.set(0, size);
            } else {
              int firstSetBit = bits.nextSetBit(0);
              int bitToFlip = bits.nextClearBit(firstSetBit);

        return new AbstractIterator<Set<E>>() {
          final BitSet bits = new BitSet(index.size());

          @Override
          protected @Nullable Set<E> computeNext() {
            if (bits.isEmpty()) {
              bits.set(0, size);
            } else {
              int firstSetBit = bits.nextSetBit(0);
              int bitToFlip = bits.nextClearBit(firstSetBit);

   * its capacity threshold.
   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */

   * its capacity threshold.
   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */