### ダウンロードおよびインストール/実行

Fess 14.17が利用可能で、[リリースページ](https://github.com/codelibs/fess/releases "download")からダウンロードできます。ダウンロードには、deb、rpm、zipの3つの形式があります。

以下のコマンドは、zipファイルを使用する例です：

    $ unzip fess-14.17.x.zip
    $ cd fess-14.17.x
    $ ./bin/fess

詳細については、[インストールガイド](https://fess.codelibs.org/14.17/install/index.html)を参照してください。

### Docker

<div class="termy">

```console
// Go to the home directory
$ cd
// Create a directory for all your code projects
$ mkdir code
// Enter into that code directory
$ cd code
// Create a directory for this project
$ mkdir awesome-project
// Enter into that project directory
$ cd awesome-project
```

</div>

## 仮想環境の作成

     */
    @Test
    void testWriteParametersWireFormat() {
        // Given
        int sid = 0x1234;
        int resumeKey = 0x89ABCDEF; // LE expected: EF CD AB 89
        String name = "file.txt";
        Trans2FindNext2 next = new Trans2FindNext2(sid, resumeKey, name);

        int expectedLen = 2 + 2 + 2 + 4 + 2 + name.length() + 1;
        byte[] dst = new byte[expectedLen];

0000010 00 00 00 00 00 00 00 00 00 00 0a 00 00 00 62 69
0000020 67 67 65 72 2e 7a 69 70 ec dc 6b 4c 53 67 18 07
0000030 f0 16 c5 ca 65 2e cb b8 94 20 61 1f 44 33 c7 cd
0000040 c0 86 4a b5 c0 62 8a 61 05 c6 cd 91 b2 54 8c 1b
0000050 63 8b 03 9c 1b 95 52 5a e3 a0 19 6c b2 05 59 44
0000060 64 9d 73 83 71 11 46 61 14 b9 1d 14 09 4a c3 60
0000070 2e 4c 6e a5 60 45 02 62 81 95 b6 94 9e 9e 77 e7

* **spaCy** NER model entegrasyonu.
* **Azure Cognitive Search** yerleşik istek biçimi.
* Uvicorn ve Gunicorn ile **Production ready** Python web server'ı.
* Dahili **Azure DevOps** Kubernetes (AKS) CI/CD deployment.
* **Multilingual**, Proje kurulumu sırasında spaCy'nin yerleşik dillerinden birini kolayca seçin.

* **spaCy** NER-Modellintegration.
* **Azure Cognitive Search**-Anforderungsformat integriert.
* **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn.
* **Azure DevOps** Kubernetes (AKS) CI/CD-Deployment integriert.
* **Mehrsprachig** Wählen Sie bei der Projekteinrichtung ganz einfach eine der integrierten Sprachen von spaCy aus.

* Встроенный формат запросов к **когнитивному поиску Azure**.
* **Готовый к реальной работе** веб-сервер Python использующий Uvicorn и Gunicorn.
* Встроенное развёртывание на основе **Azure DevOps** Kubernetes (AKS) CI/CD.
* **Многоязычность**. Лёгкий выбор одного из встроенных в spaCy языков во время настройки проекта.

- Login as user **‘spark’**.
- When the job runs, the library can now use **MinIO** during intermediate processing.
- Navigate to a node with the Spark client and access the spark2-client directory:

```
cd /usr/hdp/current/spark2-client
su spark
```

- Run the Apache Spark Pi job in yarn-client mode, using code from **org.apache.spark**:

```
./bin/spark-submit --class org.apache.spark.examples.SparkPi \

/// tip

Alternatively, you can perform the same steps that scripts does manually.

Go into the language directory, for the main docs in English it's at `docs/en/`:

```console
$ cd docs/en/
```

Then run `mkdocs` in that directory:

```console
$ mkdocs serve --dev-addr 127.0.0.1:8008
```

///

#### Typer CLI (optional)

* Intégration d'un modèle NER **spaCy**.
* Formatage de requête pour **Azure Cognitive Search**.
* Serveur Python web **prêt à utiliser en production** utilisant Uvicorn et Gunicorn.
* Déploiement CI/CD Kubernetes pour **Azure DevOps** (AKS).
* **Multilangues**. Choisissez facilement l'une des langues intégrées à spaCy durant la mise en place du projet.