- 管理 UI: http://localhost:8080/admin/ （默认用户名/密码为 admin/admin）

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

您可以在管理 UI 的 (Web、文件、数据存储) 爬虫配置页面中注册爬取目标，然后在 [调度器页面](https://fess.codelibs.org/15.3/admin/scheduler-guide.html)手动启动爬虫。

## 从其他搜索提供商迁移

请参阅 [MIGRATION.md](MIGRATION.md)。

## 数据存储

当前，Fess 支持抓取以下[存储位置和 API](https://fess.codelibs.org/15.3/admin/dataconfig-guide.html)：

## Migración desde otro proveedor de búsqueda

Consulta [MIGRATION.md](MIGRATION.md).

## Almacenamiento de Datos

                      return Thread.currentThread().getStackTrace().length;
                    }
                  },
                  directExecutor()));
        } else {
          // Otherwise, schedule a task on directExecutor
          unused =
              serializer.submit(
                  new Callable<@Nullable Void>() {
                    @Override
                    public @Nullable Void call() {

Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes.

labels.newPassword=Nieuw wachtwoord
labels.confirmNewPassword=Nieuw wachtwoord bevestigen

labels.menu_system=Systeem
labels.menu_wizard=Wizard
labels.menu_crawl_config=Algemeen
labels.menu_scheduler_config=Scheduler
labels.menu_dashboard_config=Dashboard
labels.menu_design=Paginaontwerp
labels.menu_dict=Woordenboek
labels.menu_data=Back-up/Herstel
labels.menu_crawl=Crawler
labels.menu_web=Web

              return@withLock false
            }
          }
        if (failDueToMissingPong) {
          failConnection(null)
          return@schedule -1L
        } else {
          writePing(false, INTERVAL_PING, 0)
          return@schedule pingIntervalNanos
        }
      }
    }
  }

  /**
   * Returns the number of [open streams][Http2Stream.isOpen] on this connection.
   */

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

관리자 UI에서는 (웹, 파일, 데이터 저장소) 크롤러 구성 페이지에서 크롤링 대상을 등록한 다음, [스케줄러 페이지](https://fess.codelibs.org/15.3/admin/scheduler-guide.html)에서 크롤러를 수동으로 시작할 수 있습니다.

## 다른 검색 제공자에서의 마이그레이션

[MIGRATION.md](MIGRATION.md)를 참조하십시오.

## 데이터 저장소

현재 Fess는 다음 [저장소 위치 및 API](https://fess.codelibs.org/15.3/admin/dataconfig-guide.html)를 크롤링할 수 있습니다:

      - [Load Balancing](#load-balancing)
    - [**Node Components**](#node-components)
      - [Container Runtime Interface](#container-runtime-interface)
    - [**Scheduling**](#scheduling-1)
      - [Scheduler Extender](#scheduler-extender)
    - [**Storage**](#storage-1)
      - [Local Storage](#local-storage)
      - [Volume Plugins](#volume-plugins)
      - [Metrics](#metrics)

    # pyenv from github.
    rm -rf "$PYENV_ROOT"
    git clone https://github.com/pyenv/pyenv.git "$PYENV_ROOT"
  fi
  echo "Upgraded pyenv version: $(pyenv --version)"
fi

# Scheduled nightly and release builds upload build artifacts (Pip packages,
# Libtensorflow archives) to GCS buckets. TFCI Mac VMs need to authenticate as
# a service account that has the right permissions to be able to do so.
set +x

            .build()

        val startNanos = System.nanoTime()
        val call = client.newCall(request)

        // Schedule a job to cancel the call in 1 second.
        executor.schedule({
          System.out.printf("%.2f Canceling call.%n", (System.nanoTime() - startNanos) / 1e9f)
          call.cancel()