import org.codelibs.fess.app.web.admin.reqheader.AdminReqheaderAction;
import org.codelibs.fess.app.web.admin.role.AdminRoleAction;
import org.codelibs.fess.app.web.admin.scheduler.AdminSchedulerAction;
import org.codelibs.fess.app.web.admin.searchlog.AdminSearchlogAction;
import org.codelibs.fess.app.web.admin.sereq.AdminSereqAction;
import org.codelibs.fess.app.web.admin.storage.AdminStorageAction;

    @Resource
    protected FileConfigService fileConfigService;

    /** Helper for managing crawler processes */
    @Resource
    protected ProcessHelper processHelper;

    /** Service for managing scheduled jobs */
    @Resource
    protected ScheduledJobService scheduledJobService;

    // ===================================================================================

                if (logger.isDebugEnabled()) {
                    logger.debug(s);
                }
            });
            task = new ProcessDestroyer(p, ist, commandDestroyTimeout);
            destoryTimer.schedule(task, commandTimeout);
            ist.start();

            if (logger.isDebugEnabled()) {
                logger.debug("Waiting for {}.", getName());
            }

![Admin UI](https://fess.codelibs.org/_images/fess_admin_dashboard.png)

管理者UIでは、（Web、ファイル、データストア）クローラの設定ページでクロール対象を登録し、[スケジューラページ](https://fess.codelibs.org/15.3/admin/scheduler-guide.html)から手動でクローラを開始できます。

## 他の検索プロバイダーからの移行

[MIGRATION.md](MIGRATION.md)を参照してください。

## データストア

現在、Fessは以下の[ストレージロケーションとAPI](https://fess.codelibs.org/15.3/admin/dataconfig-guide.html)のクロールをサポートしています：

        this.cleanupExecutor = Executors.newSingleThreadScheduledExecutor(r -> {
            Thread t = new Thread(r, "LeaseManager-Cleanup");
            t.setDaemon(true);
            return t;
        });

        // Schedule periodic cleanup
        long cleanupInterval = context.getConfig().getLeaseTimeout();
        if (cleanupInterval <= 0) {
            cleanupInterval = DEFAULT_LEASE_CLEANUP_INTERVAL;
        }

* Fix metrics API group name in audit configuration ([#53493](https://github.com/kubernetes/kubernetes/pull/53493), [@piosz](https://github.com/piosz))
* Use separate client for leader election in scheduler to avoid starving leader election by regular scheduler operations. ([#53793](https://github.com/kubernetes/kubernetes/pull/53793), [@wojtek-t](https://github.com/wojtek-t))

        // Resource state changed - may need to reconnect
        log.info("Resource change detected for: {}", notification.getResourceName());

        // Schedule reconnection attempt
        scheduleReconnection(getContext().getConfig().getWitnessReconnectDelay());
    }

    /**
     * Handle client move events
     */

        // future `thread == currentThread()` calls from this thread don't incorrectly queue instead
        // of executing. Don't null out the latestTaskQueue field, because the work done here
        // may have scheduled more operations on another thread, and if those operations then
        // trigger reentrant calls that thread will have updated the latestTaskQueue field, and
        // we'd be interfering with their operation.

  // threadpool, so that we avoid the possibility of running the runner_ in the
  // threadpool of GPU event mgr, as that can trigger more callbacks to be
  // scheduled on that same threadpool, causing a deadlock in cases where the
  // caller of event_mgr->ThenExecute() blocks on the completion of the callback
  // (as in the case of ConstOp kernel creation on GPU, which involves copying a

    override fun contentType() = delegate.contentType()

    override fun isDuplex() = true

    override fun writeTo(sink: BufferedSink) {
      executorService.schedule({
        try {
          delegate.writeTo(sink)
          sink.close()
        } catch (e: IOException) {
          throw RuntimeException(e)
        }
      }, delayMillis, TimeUnit.MILLISECONDS)
    }