Use the following commands to run a standalone MinIO server as a container.

Standalone MinIO servers are best suited for early development and evaluation. Certain features such as versioning, object locking, and bucket replication
require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically,

	defer xioutil.SafeClose(resp)

	volumeDir := pathJoin(s.drivePath, req.Bucket)
	found := 0
	for _, f := range req.Files {
		if contextCanceled(ctx) {
			return ctx.Err()
		}
		r := ReadMultipleResp{
			Bucket: req.Bucket,
			Prefix: req.Prefix,
			File:   f,
		}

		var data []byte
		var mt time.Time

			}
		case "fld":
			z.Failed, err = dc.ReadBool()
			if err != nil {
				err = msgp.WrapError(err, "Failed")
				return
			}
		case "lbkt":
			z.Bucket, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "Bucket")
				return
			}
		case "lobj":
			z.Object, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "Object")
				return
			}
		case "ob":

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

,\"showTotal\":false,\"totalFunc\":\"sum\",\"dimensions\":{\"metrics\":[{\"accessor\":0,\"format\":{\"id\":\"number\"},\"params\":{},\"aggType\":\"count\"}],\"buckets\":[]}},\"aggs\":[{\"id\":\"1\",\"enabled\":true,\"type\":\"count\",\"schema\":\"metric\",\"params\":{}},{\"id\":\"2\",\"enabled\":true,\"type\":\"terms\",\"schema\":\"bucket\",\"params\":{\"field\":\"searchWord\",\"order\":\"desc\",\"size\":5,\"orderBy\":\"1\",\"otherBucket\":false,\"otherBucketLabel\":\"Other\",\"missingBucket\":f...

   * returned.
   *
   * @throws IllegalArgumentException if another entry in the bucket has the same key and {@code
   *     throwIfDuplicateKeys} is true
   * @throws BucketOverflowException if this bucket has too many entries, which may indicate a hash
   *     flooding attack
   */
  @CanIgnoreReturnValue

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

  int allocArrays() {
    Preconditions.checkState(needsAllocArrays(), "Arrays already allocated");

    int expectedSize = metadata;
    int buckets = CompactHashing.tableSize(expectedSize);
    this.table = CompactHashing.createTable(buckets);
    setHashTableMask(buckets - 1);

    this.entries = new int[expectedSize];
    this.elements = new Object[expectedSize];

    return expectedSize;
  }

import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;