Optional:    true,
			Type:        "on|off",
		},
		config.HelpKV{
			Key:         target.NATSStreamingAsync,
			Description: "[DEPRECATED] set to 'on', to enable asynchronous publish",
			Optional:    true,
			Type:        "on|off",
		},
		config.HelpKV{
			Key:         target.NATSStreamingMaxPubAcksInFlight,

**Solution**:
- Split large files into smaller batches (e.g., 10,000 docs per file)
- Increase timeout in `system.properties`:
  ```properties
  crawler.document.request.timeout=600000
  ```
- Use asynchronous import via Admin UI instead of API

#### Issue: Special characters in documents not displaying correctly

**Solution**:
- Ensure source files are UTF-8 encoded
- Check `fess_config.properties`:

```
cat ${HADOOP_CONF_DIR}/core-site.xml | kv-pairify | grep "mapred"

mapred.maxthreads.generate.mapoutput=2 # Num threads to write map outputs
mapred.maxthreads.partition.closer=0 # Asynchronous map flushers
mapreduce.fileoutputcommitter.algorithm.version=2 # Use the latest committer version
mapreduce.job.reduce.slowstart.completedmaps=0.99 # 99% map, then reduce

要使 `await` 工作，它必须位于支持这种异步机制的函数内。因此，只需使用 `async def` 声明它：

```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...而不是 `def`:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

  val directory: Path,
  private val appVersion: Int,
  internal val valueCount: Int,
  /** Returns the maximum number of bytes that this cache should use to store its data. */
  maxSize: Long,
  /** Used for asynchronous journal rebuilds. */
  taskRunner: TaskRunner,
) : Closeable,
  Flushable,
  Lockable {
  internal val fileSystem: FileSystem =
    object : ForwardingFileSystem(fileSystem) {
      override fun sink(

Examples:

    Source (English):

        «««
        <abbr title="JSON Web Tokens">JWT</abbr>
        <abbr title="Enumeration">Enum</abbr>
        <abbr title="Asynchronous Server Gateway Interface">ASGI</abbr>
        »»»

    Result (German):

        «««
        <abbr title="JSON Web Tokens">JWT</abbr>
        <abbr title="Enumeration">Enum</abbr>

///

### <a href="https://www.starlette.dev/" class="external-link" target="_blank">Starlette</a>

Starlette — це легкий фреймворк/набір інструментів <abbr title="The new standard for build asynchronous Python web">ASGI</abbr>, який ідеально підходить для створення високопродуктивних asyncio сервісів.

streaming                         (on|off)    set to 'on', to use streaming NATS server
streaming_async                   (on|off)    set to 'on', to enable asynchronous publish
streaming_max_pub_acks_in_flight  (number)    number of messages to publish without waiting for ACKs
streaming_cluster_id              (string)    unique ID for NATS streaming cluster

- Disabled the `SchedulerAsyncAPICalls` feature gate to mitigate a bug where its interaction with asynchronous preemption could degrade `kube-scheduler` performance, especially under high `kube-apiserver` load. ([#134400](https://github.com/kubernetes/kubernetes/pull/134400), [@macsko](https://github.com/macsko))

///

### <a href="https://www.starlette.dev/" class="external-link" target="_blank">Starlette</a> { #starlette }

Starlette es un framework/toolkit <abbr title="The new standard for building asynchronous Python web applications – El nuevo estándar para construir aplicaciones web asíncronas en Python">ASGI</abbr> liviano, ideal para construir servicios asyncio de alto rendimiento.