},
      ).add(KotlinJsonAdapterFactory())
      .build()
  private val STORY_JSON_ADAPTER = MOSHI.adapter(Story::class.java)

  private val fileSystem = FileSystem.SYSTEM

  private fun readStory(source: BufferedSource): Story = STORY_JSON_ADAPTER.fromJson(source)!!

  private fun readStory(file: Path): Story {
    fileSystem.read(file) {
      return readStory(this)
    }
  }

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

But still, the final experience is not the best. 😞

---

This would be the parallel equivalent story for burgers. 🍔

For a more "real life" example of this, imagine a bank.

## Why Pull Requests?

Pull Requests (PRs) drive quality in MinIO’s codebase by:
- Enabling peer review without pair programming.
- Documenting changes for future reference.
- Ensuring commits tell a clear story of development.

**A poor commit lasts forever, even if code is refactored.**

## Crafting a Quality PR

A strong MinIO PR:
- Delivers a complete, valuable change (feature, bug fix, or improvement).

}

// replayItems - Reads the items from the store and replays.
func replayItems[I any](store Store[I], doneCh <-chan struct{}, log logger, id string) <-chan Key {
	keyCh := make(chan Key)

	go func() {
		defer xioutil.SafeClose(keyCh)

		retryTicker := time.NewTicker(retryInterval)
		defer retryTicker.Stop()

		for {
			for _, key := range store.List() {
				select {
				case keyCh <- key:

func (store *IAMStoreSys) ListGroups(ctx context.Context) (res []string, err error) {
	cache := store.lock()
	defer store.unlock()

	return store.updateGroups(ctx, cache)
}

// listGroups - lists groups - fetch groups from cache
func (store *IAMStoreSys) listGroups(ctx context.Context) (res []string, err error) {
	cache := store.rlock()
	defer store.runlock()

		logger.Info("IAM expired STS purge took %.2fs", took)
	}

	// Store the newly populated map in the iam cache. This takes care of
	// removing stale entries from the existing map.
	cache.iamSTSAccountsMap = stsAccountsFromStore

	stsAccPoliciesFromStore.Range(func(k string, v MappedPolicy) bool {
		cache.iamSTSPolicyMap.Store(k, v)
		return true
	})

	return nil
}

	var p MappedPolicy
	err := ies.loadIAMConfig(ctx, &p, getMappedPolicyPath(name, userType, isGroup))
	if err != nil {
		if err == errConfigNotFound {
			return errNoSuchPolicy
		}
		return err
	}
	m.Store(name, p)
	return nil
}

func getMappedPolicy(kv *mvccpb.KeyValue, m *xsync.MapOf[string, MappedPolicy], basePrefix string) error {
	var p MappedPolicy
	err := getIAMConfig(&p, kv.Value, string(kv.Key))

  Please see [the KEP](https://github.com/kubernetes/enhancements/tree/master/keps/sig-storage/1710-selinux-relabeling#story-3-cluster-upgrade) how we expect to warn users before any SELinux behavior changes and how they can opt-out before. Note that this field and feature gate is useful only with clusters that run with SELinux enabled. No action is required on clusters...

			return nil, fmt.Errorf("unable to initialize the queue store of NSQ `%s`: %w", id, err)
		}
	}

	target := &NSQTarget{
		id:         event.TargetID{ID: id, Name: "nsq"},
		args:       args,
		loggerOnce: loggerOnce,
		store:      queueStore,
		quitCh:     make(chan struct{}),
	}

	if target.store != nil {
		store.StreamItems(target.store, target, target.quitCh, target.loggerOnce)
	}

func TestQueueStorePut(t *testing.T) {
	defer func() {
		if err := tearDownQueueStore(); err != nil {
			t.Fatal("Failed to tear down store ", err)
		}
	}()
	store, err := setUpQueueStore(queueDir, 100)
	if err != nil {
		t.Fatal("Failed to create a queue store ", err)
	}
	// Put 100 items.
	for range 100 {
		if _, err := store.Put(testItem); err != nil {
			t.Fatal("Failed to put to queue store ", err)
		}