[
	{
		"buckets":[
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"dependency-management"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"configuration-cache"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"tooling-api"
				]

	// Load bucket metadata sys.
	sys.init(ctx, buckets)
	return nil
}

// concurrently load bucket metadata to speed up loading bucket metadata.
func (sys *BucketMetadataSys) concurrentLoad(ctx context.Context, buckets []BucketInfo, failedBuckets map[string]struct{}) {
	g := errgroup.WithNErrs(len(buckets))
	bucketMetas := make([]BucketMetadata, len(buckets))
	for index := range buckets {
		index := index

            });
            final Terms agg = list.getAggregations().get(SearchLogPager.LOG_TYPE_CLICK_COUNT);
            final List<? extends Terms.Bucket> buckets = agg.getBuckets();
            updatePagerByAgg(pager, buckets.size());
            return buckets.stream().map(e -> {
                final Map<String, Object> map = new HashMap<>();

		Cache: make(map[string]dataUsageEntry, len(oldCache.Cache)),
	}

	// Put all buckets into channel.
	bucketCh := make(chan BucketInfo, len(buckets))

	// Shuffle buckets to ensure total randomness of buckets, being scanned.
	// Otherwise same set of buckets get scanned across erasure sets always.
	// at any given point in time. This allows different buckets to be scanned
	// in different order per erasure set, this wider spread is needed when

	buckets, _ := z.ListBuckets(ctx, BucketOptions{})
	// Buckets data are dispersed in multiple pools/sets, make
	// sure to heal all bucket metadata configuration.
	buckets = append(buckets, BucketInfo{
		Name: pathJoin(minioMetaBucket, minioConfigPrefix),
	}, BucketInfo{
		Name: pathJoin(minioMetaBucket, bucketMetaPrefix),
	})

	// Heal latest buckets first.

	if ok {
		if b.bucket != bucket {
			logger.Info("getBucket: newly cached bucket %s does not match this bucket %s", b.bucket, bucket)
			debug.PrintStack()
		}
		return b
	}

	// New bucket. If we fail return the transient bucket.
	b = newBucketMetacache(bucket, true)
	m.buckets[bucket] = b
	return b
}

// deleteBucketCache will delete the bucket cache if it exists.

// server lists all metrics that could be returned for the requested path.
//
// The (repeatable) `buckets` query parameter is a list of bucket names (or it
// could be a comma separated value) to return metrics with a bucket label.
// Bucket metrics will be returned only for the provided buckets. If no buckets
// parameter is provided, no bucket metrics are returned.
func (h *metricsV3Server) ServeHTTP(w http.ResponseWriter, r *http.Request) {

# Bucket Replication Guide [![slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)

Bucket replication is designed to replicate selected objects in a bucket to a destination bucket.

        bucketsOfFirstElement + bucketsOfRestElements
    } else {
        val buckets = arrayListOf(largestElement)
        var restCapacity = expectedBucketSize - toIntFunction(largestElement)
        while (restCapacity > 0 && list.isNotEmpty() && buckets.size < maxNumberInBucket) {
            val smallestElement = list.findLast { searched -> buckets.all { canRunTogether(it, searched) } } ?: break
            list.remove(smallestElement)

			if err != nil {
				err = msgp.WrapError(err, "Buckets")
				return
			}
			if cap(z.Buckets) >= int(zb0002) {
				z.Buckets = (z.Buckets)[:zb0002]
			} else {
				z.Buckets = make([]string, zb0002)
			}
			for za0001 := range z.Buckets {
				z.Buckets[za0001], err = dc.ReadString()
				if err != nil {
					err = msgp.WrapError(err, "Buckets", za0001)
					return
				}
			}
		case "rbs":