- **HTTP Client**: Apache HttpComponents
- **Content Extraction**: Apache Tika, Apache POI, PDFBox
- **Testing**: JUnit 4, UTFlute, Testcontainers
- **Storage Backends**: OpenSearch, Memory-based

## Quick Start

### Prerequisites

- Java 21 or higher
- Maven 3.6 or higher

### Installation

Add the following dependency to your `pom.xml`:

```xml
<dependency>
    <groupId>org.codelibs.fess</groupId>

  [overwrite of manual edits to GCP Health Checks](https://github.com/kubernetes/ingress/issues/842)
  managed by the GLBC Ingress Controller. This can cause the health checks to start failing,
  requiring you to reapply the manual edits.
  * This issue does not affect clusters that start out with Kubernetes v1.6.4 or higher.
  * This issue does not affect Health Checks that were left in the configuration

	}

	if !skipAccessChecks(opts.Bucket) {
		// Stat a volume entry.
		if err = Access(volumeDir); err != nil {
			return convertAccessError(err, errVolumeAccessDenied)
		}
	}

	// Use a small block size to start sending quickly
	w := newMetacacheWriter(wr, 16<<10)
	w.reuseBlocks = true // We are not sharing results, so reuse buffers.
	defer w.Close()
	out, err := w.stream()
	if err != nil {
		return err
	}

            Thread t = new Thread(r, "SMB3-MultiChannel-HealthCheck");
            t.setDaemon(true);
            return t;
        });

        // Start health check task
        if (healthCheckInterval > 0) {
            startHealthCheckTask();
        }

This code is something you can actually use in your application, save the password hashes in your database, etc.

We are going to start from where we left in the previous chapter and increment it.

## About JWT { #about-jwt }

JWT means "JSON Web Tokens".

It's a standard to codify a JSON object in a long dense string without spaces. It looks like this:

	//    single part object) and total decrypted object size `decObjSize`
	//
	// 2. the (decrypted) start offset `off` and (decrypted)
	//    length to read `length`
	//
	// These are the inputs to the rest of the algorithm below.

	// Locate the part containing the start of the required range
	var partEnd int
	var cumulativeSum, encCumulativeSum int64
	for i, size := range sizes {

      taskFaker.sleep(100.µs)
      log += "red:finishing@${taskFaker.nanoTime}"
    }
    assertThat(taskFaker.executeCallCount).isEqualTo(1)

    // Enqueueing the blue task doesn't start a thread because the red one is still starting.
    blueQueue.execute("blue task") {
      log += "blue:starting@${taskFaker.nanoTime}"
      taskFaker.sleep(100.µs)
      log += "blue:finishing@${taskFaker.nanoTime}"

	g := errgroup.WithNErrs(len(buckets))
	bucketMetas := make([]BucketMetadata, len(buckets))
	for index := range buckets {
		g.Go(func() error {
			// Sleep and stagger to avoid blocked CPU and thundering
			// herd upon start up sequence.
			time.Sleep(25*time.Millisecond + time.Duration(rand.Int63n(int64(100*time.Millisecond))))

			_, _ = sys.objAPI.HealBucket(ctx, buckets[index], madmin.HealOpts{Recreate: true})

type StorageInfo = madmin.StorageInfo

// objectHistogramInterval is an interval that will be
// used to report the histogram of objects data sizes
type objectHistogramInterval struct {
	name       string
	start, end int64
}

const (
	// dataUsageBucketLenV1 must be length of ObjectsHistogramIntervalsV1
	dataUsageBucketLenV1 = 7
	// dataUsageBucketLen must be length of ObjectsHistogramIntervals
	dataUsageBucketLen  = 11

adjust the `max_sleep` and `max_io` values thereby increasing the healing speed. The delays between each operation of the healer can be adjusted by the `mc admin config set alias/ heal max_sleep=1s` and maximum concurrent requests allowed before we start slowing things down can be configured with `mc admin config set alias/ heal max_io=30` . By default the wait delay is `250ms` beyond 100 concurrent operations. This means the healer will sleep *250 milliseconds* at max for each heal operation if there...