(called) {\n      return\n    }\n    called = true\n    window.Promise.resolve().then(() => {\n      called = false\n      fn()\n    })\n  }\n}\n\nexport function taskDebounce(fn) {\n  let scheduled = false;\n  return () => {\n    if (!scheduled) {\n      scheduled = true;\n      setTimeout(() => {\n        scheduled = false;\n        fn();\n      }, timeoutDuration);\n    }\n  };\n}\n\nconst supportsMicroTasks = isBrowser && window.Promise\n\n\n/**\n* Create a debounced version of a method, that's asynchronously...

## Migración desde otro proveedor de búsqueda

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

## Almacenamiento de Datos

## Migration depuis un autre fournisseur de recherche

Veuillez consulter [MIGRATION.md](MIGRATION.md).

## Data Store

Você pode registrar alvos de rastreamento na interface de administração nas páginas de configuração do rastreador (Web, Arquivo, Data Store), e iniciar manualmente o rastreador na [página do Agendador](https://fess.codelibs.org/14.17/admin/scheduler-guide.html).

## Migração de Outro Provedor de Busca

Consulte [MIGRATION.md](MIGRATION.md).

## Data Store

![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/14.17/admin/scheduler-guide.html)에서 크롤러를 수동으로 시작할 수 있습니다.

## 다른 검색 제공자에서의 마이그레이션

[MIGRATION.md](MIGRATION.md)를 참조하십시오.

## 데이터 저장소

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.

    @Resource
    protected FileConfigService fileConfigService;

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

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

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

********************************************************************************

## TensorFlow's Official CI and Build/Test Scripts

TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
system, Kokoro, schedules our CI jobs by combining a build script with a file
from the `envs` directory that is filled with configuration options:

-   Nightly jobs (Run nightly on the `nightly` branch)

    # 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

        verifyPathPattern("AdminReqheader", "/admin/reqheader/");
        verifyPathPattern("AdminRole", "/admin/role/");
        verifyPathPattern("AdminScheduler", "/admin/scheduler/");
        verifyPathPattern("AdminUser", "/admin/user/");
        verifyPathPattern("AdminWebauth", "/admin/webauth/");
        verifyPathPattern("AdminWebconfig", "/admin/webconfig/");
    }