*
 * <p>{@code RuntimeException}s thrown by tasks are simply logged and the executor keeps trucking.
 * If an {@code Error} is thrown, the error will propagate and execution will stop until it is
 * restarted by a call to {@link #execute}.
 */
@J2ktIncompatible
@GwtIncompatible
final class SequentialExecutor implements Executor {

errors.not_load_from_server = Kan niet laden vanaf deze server. Oorzaak: {0}
errors.failed_to_start_job = Kan taak {0} niet starten.
errors.failed_to_stop_job = Kan taak {0} niet stoppen.
errors.failed_to_download_synonym_file = Kan synoniembestand niet downloaden.
errors.failed_to_upload_synonym_file = Kan synoniembestand niet uploaden.

     * changes: https://mail.openjdk.org/pipermail/core-libs-dev/2013-May/thread.html#17367
     *
     * TODO(cpovirk): decide what the best long-term action here is: force users
     * to suppress (as we do now), stop testing entrySet().add() at all, make
     * entrySet().add() tests tolerant of either behavior, introduce a map
     * feature for entrySet() that supports add(), or something else
     */
    return asList(

If your language requires special text analysis (stemming, stop words, etc.), you may need to configure OpenSearch analyzers.

### 1. Update OpenSearch Index Template

Edit `src/main/resources/fess_indices/fess.json` to add language-specific analyzers.

**Example for Swedish:**
```json
{
  "analysis": {
    "filter": {
      "swedish_stop": {
        "type": "stop",
        "stopwords": "_swedish_"
      },

/// tip | Tipp

Das `shutdown` würde erfolgen, wenn Sie die Anwendung **stoppen**.

Möglicherweise müssen Sie eine neue Version starten, oder Sie haben es einfach satt, sie auszuführen. 🤷

///

### Lifespan-Funktion { #lifespan-function }

package cachevalue

import (
	"context"
	"errors"
	"testing"
	"time"
)

func slowCaller(ctx context.Context) error {
	sl := time.NewTimer(time.Second)
	defer sl.Stop()

	select {
	case <-sl.C:
	case <-ctx.Done():
		return ctx.Err()
	}

	return nil
}

func TestCacheCtx(t *testing.T) {
	cache := New[time.Time]()
	t.Parallel()

		limit:  config.Limit,
		store:  config.Store,
		quitCh: quitCh,
	}
	if batch.store != nil {
		go func() {
			commitTicker := time.NewTicker(config.CommitTimeout)
			defer commitTicker.Stop()
			for {
				select {
				case <-commitTicker.C:
				case <-batch.quitCh:
					return
				}
				batch.Lock()
				err := batch.commit()
				batch.Unlock()
				if err != nil {

    * Normally, a token is set to expire after some time.
        * So, the user will have to log in again at some point later.
        * And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases).
* The frontend stores that token temporarily somewhere.

    }

    @Override
    public void run() {
      while (true) {
        try {
          Thread.sleep(everyMillis);
        } catch (InterruptedException e) {
          // ok. just stop sleeping.
        }
        if (shouldStop) {
          break;
        }
        interruptee.interrupt();
      }
    }

    void stopInterrupting() {
      shouldStop = true;
    }
  }

            throw exception;
        }
    }

    @Override
    protected MavenContext createContext(InvokerRequest invokerRequest) {
        // TODO: in a moment Maven stop pushing user properties to system properties (and maybe something more)
        // and allow multiple instances per JVM, this may become a pool? derive key based in invokerRequest?