## Héberger en propre JavaScript et CSS pour les docs { #self-hosting-javascript-and-css-for-docs }

Héberger vous‑même le JavaScript et le CSS peut être utile si, par exemple, votre application doit continuer de fonctionner même hors ligne, sans accès Internet ouvert, ou sur un réseau local.

Vous verrez ici comment servir ces fichiers vous‑même, dans la même application FastAPI, et configurer les docs pour les utiliser.

            .getResolvedConfiguration()
            .getFiles(reallyThirdParty);
        // don't scan provided dependencies that we already scanned, e.x. don't scan cores dependencies for every plugin
        if (compileOnlyConfiguration != null) {
            jars.removeAll(compileOnlyConfiguration);
        }
        return jars;
    }

    @TaskAction

`max_sleep` to a *lower* value and setting `max_io` to a *higher* value would make heal go faster.

Each node is responsible of healing its local drives; Each drive will have multiple heal workers which is the quarter of the number of CPU cores of the node or the quarter of the configured nr_requests of the drive (https://www.kernel.org/doc/Documentation/block/queue-sysfs.txt). It is also possible to provide a custom number of workers by using this command: `mc admin config set alias/ heal...

// The bytes written matches the number of remaining bytes in the current file.
//
// If the current file is sparse and w is an io.WriteSeeker,
// then writeTo uses Seek to skip past holes defined in Header.SparseHoles,
// assuming that skipped regions are filled with NULs.
// This always writes the last byte to ensure w is the right size.
//
// TODO(dsnet): Re-export this when adding sparse file support.

```
./bin/spark-submit --class org.apache.spark.examples.SparkPi \
    --master yarn-client \
    --num-executors 1 \
    --driver-memory 512m \
    --executor-memory 512m \
    --executor-cores 1 \
    examples/jars/spark-examples*.jar 10
```

The job should produce an output as shown below. Note the value of pi in the output.

```

labels.search_result_cache=Cache
labels.search_result_similar=Resultados semelhantes ({0})
labels.facet_label_title=Rótulo
labels.facet_timestamp_title=Período
labels.facet_timestamp_1day=Últimas 24 horas
labels.facet_timestamp_1week=Última semana
labels.facet_timestamp_1month=Último mês
labels.facet_timestamp_1year=Último ano
labels.facet_timestamp_3month=Últimos 3 meses
labels.facet_timestamp_6month=Últimos 6 meses

labels.max_access_count=Nombre d'accès maximum
labels.number_of_thread=Nombre de threads
labels.interval_time=Intervalle
labels.millisec=ms
labels.permissions=Autorisations
labels.virtual_hosts=Hôtes virtuels
labels.virtual_host=Hôte virtuel
labels.label_type=Étiquette
labels.file_crawling_button_create=Créer
labels.file_crawling_button_create_job=Créer une nouvelle tâche

labels.search_result_cache=Caché
labels.search_result_similar=Resultados similares ({0})
labels.facet_label_title=Etiqueta
labels.facet_timestamp_title=Período
labels.facet_timestamp_1day=Últimas 24 horas
labels.facet_timestamp_1week=Última semana
labels.facet_timestamp_1month=Último mes
labels.facet_timestamp_1year=Último año
labels.facet_timestamp_3month=Últimos 3 meses
labels.facet_timestamp_6month=Últimos 6 meses

// The bytes read must match the number of remaining bytes in the current file.
//
// If the current file is sparse and r is an io.ReadSeeker,
// then readFrom uses Seek to skip past holes defined in Header.SparseHoles,
// assuming that skipped regions are all NULs.
// This always reads the last byte to ensure r is the right size.
//
// TODO(dsnet): Re-export this when adding sparse file support.

### Multiple Processes - Workers { #multiple-processes-workers }

If you have more clients than what a single process can handle (for example if the virtual machine is not too big) and you have **multiple cores** in the server's CPU, then you could have **multiple processes** running with the same application at the same time, and distribute all the requests among them.