this.analyzer = analyzer;
        return this;
    }

    /**
     * Sets the thread pool.
     * @param threadPool The thread pool.
     * @return This builder instance.
     */
    public SuggesterBuilder threadPool(final ExecutorService threadPool) {
        this.threadPool = threadPool;
        return this;
    }

    /**
     * Sets the thread pool size.

    int deltaRange = 10000;
    String key = "key";

    AtomicLongMap<String> map = AtomicLongMap.create();

    ExecutorService threadPool = newFixedThreadPool(nThreads);
    ArrayList<Future<Long>> futures = new ArrayList<>();
    for (int i = 0; i < nTasks; i++) {
      futures.add(
          threadPool.submit(
              new Callable<Long>() {
                @Override
                public Long call() {

        To be awaitable, compatible with async, this is run in threadpool.
        """
        return await super().seek(offset)

    async def close(self) -> None:
        """
        Close the file.

        To be awaitable, compatible with async, this is run in threadpool.
        """
        return await super().close()

    @classmethod

    int deltaRange = 10000;
    String key = "key";

    AtomicLongMap<String> map = AtomicLongMap.create();

    ExecutorService threadPool = newFixedThreadPool(nThreads);
    ArrayList<Future<Long>> futures = new ArrayList<>();
    for (int i = 0; i < nTasks; i++) {
      futures.add(
          threadPool.submit(
              new Callable<Long>() {
                @Override
                public Long call() {

        <property name="ignoreSetter" value="true" />
        <property name="setterCanReturnItsClass" value="true"/>
        <property name="ignoreFormat" value="^(threadPool)$"/>
    </module>
    -->

    <!-- We don't use Java's builtin serialization and we suppress all warning
      about it. The flip side of that coin is that we shouldn't _try_ to use

///

To avoid blocking the event loop, you can simply declare the *path operation function* with regular `def` instead of `async def`, that way FastAPI will run it on a threadpool worker, to avoid blocking the main loop.

{* ../../docs_src/stream_data/tutorial002_py310.py ln[30:34] hl[31] *}

/// tip

```Python
contents = myfile.file.read()
```

/// note | `async` Technical Details

When you use the `async` methods, **FastAPI** runs the file methods in a threadpool and awaits for them.

///

/// note | Starlette Technical Details

而且在許多情況下，讀取它們會是阻塞操作（可能阻塞事件迴圈），因為資料是從磁碟或網路讀取。

/// info

上面的範例其實是例外，因為 `io.BytesIO` 物件已在記憶體中，讀取不會阻塞任何東西。

但在多數情況下，讀取檔案或類檔案物件會造成阻塞。

///

為了避免阻塞事件迴圈，你可以將路徑操作函式宣告為一般的 `def`（而非 `async def`），這樣 FastAPI 會在 threadpool worker 上執行它，避免阻塞主事件迴圈。

{* ../../docs_src/stream_data/tutorial002_py310.py ln[30:34] hl[31] *}

/// tip

如果你需要在 async 函式內呼叫阻塞程式碼，或在阻塞函式中呼叫 async 函式，你可以使用 [Asyncer](https://asyncer.tiangolo.com)，它是 FastAPI 的姊妹函式庫。

@defaultMessage Spawns a new thread which is solely under lucenes control use ThreadPool#relativeTimeInMillis instead
org.apache.lucene.search.TimeLimitingCollector#getGlobalTimerThread()
org.apache.lucene.search.TimeLimitingCollector#getGlobalCounter()

@defaultMessage extend org.elasticsearch.threadpool.Scheduler.SafeScheduledThreadPoolExecutor instead which will properly bubble up Errors
java.util.concurrent.ScheduledThreadPoolExecutor#<init>(int)