shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash

#   container and start fresh, run "docker rm -f tf". Removing the container
#   destroys some temporary bazel data and causes longer builds.
#
#   You will need the NVIDIA Container Toolkit for GPU testing:
#   https://github.com/NVIDIA/nvidia-container-toolkit
#
#   Note: if you interrupt a bazel command on docker (ctrl-c), you
#   will need to run `docker exec tf pkill bazel` to quit bazel.
#

	//   locker: A synchronization lock that is unlocked after initialization to avoid deadlocks.
	// Returns:
	//   *Stmt: A newly created statement object for executing SQL operations.
	//   error: An error if the statement preparation fails.
	New(ctx context.Context, key string, isTransaction bool, connPool ConnPool, locker sync.Locker) (*Stmt, error)

* ***Reinicializações***
* Replicação (o número de processos em execução)
* **Memória**
* **Etapas anteriores antes de iniciar**

## Contêineres e Docker { #containers-and-docker }

No próximo capítulo sobre [FastAPI em contêineres - Docker](docker.md){.internal-link target=_blank}, explicarei algumas estratégias que você pode usar para lidar com os outros **conceitos de implantação**.

* **云服务** 为您处理此问题
     * 云服务可能**为您处理复制**。 它可能会让您定义 **要运行的进程**，或要使用的 **容器映像**，在任何情况下，它很可能是 **单个 Uvicorn 进程**，并且云服务将负责复制它。



/// tip

如果这些关于 **容器**、Docker 或 Kubernetes 的内容还没有多大意义，请不要担心。

 我将在以后的章节中向您详细介绍容器镜像、Docker、Kubernetes 等：[容器中的 FastAPI - Docker](docker.md){.internal-link target=_blank}。

///

## 启动之前的步骤

在很多情况下，您希望在**启动**应用程序之前执行一些步骤。

例如，您可能想要运行**数据库迁移**。

但在大多数情况下，您只想执行这些步骤**一次**。

* **Neustarts**
* Replikation (die Anzahl der laufenden Prozesse)
* **Arbeitsspeicher**
* **Schritte vor dem Start**

## Container und Docker { #containers-and-docker }

Im nächsten Kapitel über [FastAPI in Containern – Docker](docker.md){.internal-link target=_blank} werde ich einige Strategien erläutern, die Sie für den Umgang mit den anderen **Deployment-Konzepten** verwenden können.

    groups:
      github-actions:
        patterns:
          - "*"

  - package-ecosystem: docker
    directory: /ci/devinfra/docker_windows
    schedule:
      interval: monthly
    ignore:
      - dependency-name: "*"
        update-types: ["version-update:semver-major", "version-update:semver-minor"]

  - package-ecosystem: docker
    directory: /tensorflow/tools/gcs_test
    schedule:
      interval: monthly

# $TFCI_OUTPUT_DIR/script.log
exec > >(tee "$TFCI_OUTPUT_DIR/script.log") 2>&1

# Setup tfrun, a helper function for executing steps that can either be run
# locally or run under Docker. setup_docker.sh, below, redefines it as "docker
# exec".
# Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)".
# Therefore, "tfrun" commands cannot include pipes -- which is

Weitere Informationen finden Sie im [Installationshandbuch](https://fess.codelibs.org/15.3/install/index.html).

### Docker

Wir bieten Docker-Images auf [ghcr.io](https://github.com/orgs/codelibs/packages) an. Wir stellen auch eine Docker Compose (YAML)-Datei in [diesem Repository](https://github.com/codelibs/docker-fess/tree/master/compose) bereit.

### Browser-Benutzeroberfläche

- Suchoberfläche: http://localhost:8080/

## 入门

您可以通过两种方式尝试 Fess。第一种是自行下载并安装，第二种是使用 [Docker](https://www.docker.com/products/docker-engine)。

### 下载并安装/运行

Fess 15.3 现已发布，可在 [发布页面](https://github.com/codelibs/fess/releases "download") 下载。提供三种下载形式：deb、rpm、zip。

以下命令展示了如何使用 zip 下载：

    $ unzip fess-15.3.x.zip
    $ cd fess-15.3.x
    $ ./bin/fess

更多详情请参阅 [安装指南](https://fess.codelibs.org/15.3/install/index.html)。

### Docker