以下是文件中其他位置的指引連結，適用於一般或常見問題。

## 篩選資料 - 安全性 { #filter-data-security }

為確保你不會回傳超出應有的資料，請參閱[教學 - 回應模型 - 回傳型別](../tutorial/response-model.md)。

## 最佳化回應效能 - 回應模型 - 回傳型別 { #optimize-response-performance-response-model-return-type }

為了在回傳 JSON 資料時最佳化效能，請使用回傳型別或回應模型，如此 Pydantic 會在 Rust 端處理序列化為 JSON，而不經過 Python。更多內容請參閱[教學 - 回應模型 - 回傳型別](../tutorial/response-model.md)。

## 文件標籤 - OpenAPI { #documentation-tags-openapi }

 */
import gradlebuild.basics.BuildEnvironment
import gradlebuild.basics.FileLocationProvider
import gradlebuild.docs.FindBrokenInternalLinks
import gradlebuild.integrationtests.tasks.DistributionTest
import gradlebuild.performance.tasks.PerformanceTest
import gradlebuild.testcleanup.TestFilesCleanupService
import me.champeau.gradle.japicmp.JapicmpTask

if (BuildEnvironment.isCiServer && project.name != "gradle-kotlin-dsl-accessors") {

      }
    }

    @Override
    public CharSource asCharSource(Charset charset) {
      if (options.length == 0) {
        // If no OpenOptions were passed, delegate to Files.lines, which could have performance
        // advantages. (If OpenOptions were passed we can't, because Files.lines doesn't have an
        // overload taking OpenOptions, meaning we can't guarantee the same behavior w.r.t. things

* to decode

* the exception
* to raise

* the expression
* the statement

* the frontend
* the backend

* the GitHub discussion
* the GitHub issue

* the performance
* the performance optimization

* the return type
* the return value

* the security
* the security scheme

* the task
* the background task
* the task function

* the template

  
  As this code is still very new, it has not been heavily optimized yet;
  while it is expected to _eventually_ have better performance than the
  iptables backend, very little performance testing has been done so far. ([#121046](https://github.com/kubernetes/kubernetes/pull/121046), [@danwinship](https://github.com/danwinship))

## 데이터 필터링 - 보안 { #filter-data-security }

반환하면 안 되는 데이터를 과도하게 반환하지 않도록 하려면, [튜토리얼 - 응답 모델 - 반환 타입](../tutorial/response-model.md) 문서를 읽어보세요.

## 응답 성능 최적화 - 응답 모델 - 반환 타입 { #optimize-response-performance-response-model-return-type }

JSON 데이터를 반환할 때 성능을 최적화하려면 반환 타입 또는 응답 모델을 사용하세요. 그러면 Pydantic이 Python을 거치지 않고 Rust 측에서 JSON 직렬화를 처리합니다. 자세한 내용은 [튜토리얼 - 응답 모델 - 반환 타입](../tutorial/response-model.md) 문서를 참고하세요.

      return result;
    } else {
      return new RegularImmutableSortedSet<>(ImmutableList.of(), comparator);
    }
  }

  /**
   * Returns the empty immutable sorted set.
   *
   * <p><b>Performance note:</b> the instance returned is a singleton.
   */
  @SuppressWarnings("unchecked") // The natural-ordered empty set supports all types.
  public static <E> ImmutableSortedSet<E> of() {

    * This results in 2x (or more) performance increase for JSON responses.
    * New docs: [Custom Response - JSON Performance](https://fastapi.tiangolo.com/advanced/custom-response/#json-performance).

## 0.129.2 (2026-02-21)

### Internal

# Linux x86 so that we can use RBE. Since tests still need to run on the single
# host Arm64 machine, the build becomes too slow (~30 min) to be a presubmit.
# For testing purposes, we want to see the runtime performance of an
# experimental job that is build-only, i.e, we only build the test targets and
# do not run them. By prefixing the configs with "build", we can run both

/// tip | Astuce

Comme Pydantic les sérialisera côté **Rust**, vous obtiendrez une **performance** bien supérieure que si vous ne déclarez pas de type de retour.

///

### Fonctions de chemin d'accès non asynchrones { #non-async-path-operation-functions }