// Setting maxKeys to negative value (15-16).
		{"empty-bucket", "", "", "", -1, ListObjectsInfo{}, nil, true},
		{"empty-bucket", "", "", "", 1, ListObjectsInfo{}, nil, true},
		// Setting maxKeys to a very large value (17).
		{"empty-bucket", "", "", "", 111100000, ListObjectsInfo{}, nil, true},
		// Testing for all 10 objects in the bucket (18).
		{"test-bucket-list-object", "", "", "", 10, resultCases[0], nil, true},

MinIO is built ground up on the cloud-native premise. With features like erasure-coding, distributed and shared setup, it focuses only on storage and does it very well. While, it can be scaled by just replicating MinIO instances per tenant via an orchestration platform.

> In a cloud-native environment, scalability is not a function of the application but the orchestration platform.

		prev.Count++
		l.IDMap[id] = prev
		shouldLog = false
	}
	l.Unlock()

	if shouldLog {
		logIf(ctx, subsystem, err, errKind...)
	}
}

// Cleanup the map every one hour so that the log message is printed again for the user to notice.
func (l *logOnceType) cleanupRoutine() {
	for {
		time.Sleep(time.Hour)

		l.Lock()
		l.IDMap = make(map[string]onceErr)
		l.Unlock()

	dst = append(dst, in...)
	return dst, err
}

// csvSplitSize is the size of each block.
// Blocks will read this much and find the first following newline.
// 128KB appears to be a very reasonable default.
const csvSplitSize = 128 << 10

// startReaders will read the header if needed and spin up a parser
// and a number of workers based on GOMAXPROCS.

)

var gzipHandler = func() func(http.Handler) http.HandlerFunc {
	gz, err := gzhttp.NewWrapper(gzhttp.MinSize(1000), gzhttp.CompressionLevel(gzip.BestSpeed))
	if err != nil {
		// Static params, so this is very unlikely.
		logger.Fatal(err, "Unable to initialize server")
	}
	return gz
}()

// Set of handler options as bit flags
type hFlag uint8

const (
	// this flag disables gzip compression of responses

			wantColumns:     []string{"header1", "header2", "header3"},
			wantFields:      "ok1,ok2,ok3\n" + `"a""""b",c` + "\n",
			wantErr:         io.EOF,
		},
		{
			// This works since LazyQuotes is true, but output is very weird.
			file:            "invalid-oddquote.csv",
			recordDelimiter: "\n",
			fieldDelimiter:  ",",
			sendErr:         nil,
			header:          true,
			wantColumns:     []string{"header1", "header2", "header3"},

	}

	// Initialize a new ticker with 1 minute between each ticks.
	lkTimer := time.NewTimer(lockMaintenanceInterval)
	// Stop the timer upon returning.
	defer lkTimer.Stop()

	for {
		// Verifies every minute for locks held more than 2 minutes.
		select {
		case <-ctx.Done():
			return
		case <-lkTimer.C:
			globalLockServer.expireOldLocks(lockValidityDuration)

			// Reset the timer for next cycle.

	// This is the maximum size of bigger buffers.
	biggerBufMax = maxBufferSize

	// If there is a queue, merge up to this many messages.
	maxMergeMessages = 30

	// clientPingInterval will ping the remote handler every 15 seconds.
	// Clients disconnect when we exceed 2 intervals.
	clientPingInterval = 15 * time.Second

	// Deadline for single (non-streaming) requests to complete.
	// Used if no deadline is provided on context.

)

const (
	dataScannerSleepPerFolder        = time.Millisecond                 // Time to wait between folders.
	dataUsageUpdateDirCycles         = 16                               // Visit all folders every n cycles.
	dataScannerCompactLeastObject    = 500                              // Compact when there is less than this many objects in a branch.

					success = false
				} else {
					stopFn(oi, nil)
				}
				ri.trackCurrentBucketObject(r.Target.Bucket, oi, success)
				globalBatchJobsMetrics.save(job.ID, ri)
				// persist in-memory state to disk after every 10secs.
				batchLogIf(ctx, ri.updateAfter(ctx, api, 10*time.Second, job))

				if wait := globalBatchConfig.ReplicationWait(); wait > 0 {
					time.Sleep(wait)
				}
			}()
		}
		wk.Wait()