crawlJob.dataConfigIds(new String[] { "data1", "data2", "data3" });

        String result = crawlJob.execute();

        assertNotNull(result);
        assertTrue(result.contains("Web  Config Id: web1 web2"));
        assertTrue(result.contains("File Config Id: file1"));
        assertTrue(result.contains("Data Config Id: data1 data2 data3"));
    }

    // Test execute method with sessionId already set

        options.dataConfigIds = "data1,data2,data3,data4";

        List<String> result = options.getDataConfigIdList();
        assertNotNull(result);
        assertEquals(4, result.size());
        assertTrue(result.contains("data1"));
        assertTrue(result.contains("data2"));
        assertTrue(result.contains("data3"));
        assertTrue(result.contains("data4"));
    }

    @Test

# Veri Akışı { #stream-data }

Veriyi JSON olarak yapılandırabiliyorsanız, [JSON Lines Akışı](../tutorial/stream-json-lines.md) kullanın.

Ancak saf ikili (binary) veri ya da string akıtmak istiyorsanız, bunu şöyle yapabilirsiniz.

/// info | Bilgi

FastAPI 0.134.0 ile eklendi.

///

## Kullanım Senaryoları { #use-cases }

Doğrudan bir AI LLM (Büyük Dil Modeli) servisinin çıktısından saf string'leri akıtmak istediğinizde kullanabilirsiniz.

# Daten streamen { #stream-data }

Wenn Sie Daten streamen möchten, die als JSON strukturiert werden können, sollten Sie [JSON Lines streamen](../tutorial/stream-json-lines.md).

Wenn Sie jedoch **reine Binärdaten** oder Strings streamen möchten, so können Sie es machen.

/// info | Info

Hinzugefügt in FastAPI 0.134.0.

///

## Anwendungsfälle { #use-cases }

# Transmitir dados { #stream-data }

Se você quer transmitir dados que podem ser estruturados como JSON, você deveria [Transmitir JSON Lines](../tutorial/stream-json-lines.md).

Mas se você quer transmitir dados binários puros ou strings, veja como fazer.

/// info | Informação

Adicionado no FastAPI 0.134.0.

///

## Casos de uso { #use-cases }

 */
@NullUnmarked
@GwtIncompatible
@J2ktIncompatible
public class JdkFutureAdaptersTest extends TestCase {
  private static final String DATA1 = "data";

  public void testListenInPoolThreadReturnsSameFuture() throws Exception {
    ListenableFuture<String> listenableFuture = immediateFuture(DATA1);
    assertThat(listenInPoolThread(listenableFuture)).isSameInstanceAs(listenableFuture);
  }

# 串流資料 { #stream-data }

如果你要串流可用 JSON 結構化的資料，應該[串流 JSON Lines](../tutorial/stream-json-lines.md)。

但如果你想串流純二進位資料或字串，以下是做法。

/// info

已在 FastAPI 0.134.0 新增。

///

## 使用情境 { #use-cases }

當你想串流純字串時可以用這個機制，例如直接轉發來自 AI LLM 服務的輸出。

你也可以用它來串流大型二進位檔案，邊讀邊將每個區塊（chunk）串流出去，而不必一次把整個檔案載入記憶體。

你也可以用同樣方式串流視訊或音訊，甚至可以在處理的同時即時產生並傳送。

## 使用 `yield` 的 `StreamingResponse` { #a-streamingresponse-with-yield }

)

// initDataScanner will start the scanner in the background.
func initDataScanner(ctx context.Context, objAPI ObjectLayer) {
	go func() {
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		// Run the data scanner in a loop
		for {
			runDataScanner(ctx, objAPI)
			duration := max(time.Duration(r.Float64()*float64(scannerCycle.Load())),
				// Make sure to sleep at least a second to avoid high CPU ticks.
				time.Second)

# Extra Data Types { #extra-data-types }

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

# Потоковая передача данных { #stream-data }

Если вам нужно передавать потоковые данные, которые можно представить как JSON, воспользуйтесь [стримингом JSON Lines](../tutorial/stream-json-lines.md).

Но если вы хотите передавать в потоке чистые бинарные данные или строки, ниже показано, как это сделать.

/// info | Информация

Добавлено в FastAPI 0.134.0.

///

## Варианты использования { #use-cases }