Mit **FastAPI** bekommen Sie alles von **Starlette** (da FastAPI nur Starlette auf Steroiden ist):

* Schwer beeindruckende Performanz. Es ist <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">eines der schnellsten Python-Frameworks, auf Augenhöhe mit **NodeJS** und **Go**</a>.
* **WebSocket**-Unterstützung.
* Hintergrundaufgaben im selben Prozess.

                }
            });
        }

        long endTime = System.currentTimeMillis();
        long duration = endTime - startTime;

        // Then - should complete quickly (this is more of a performance indicator)
        assertTrue(duration < 1000, "Creating and using 10000 EmptyIterators should be fast (took " + duration + "ms)");
    }

    @Test

Konkret geht es darum, Uvicorn, Starlette und FastAPI miteinander zu vergleichen (neben vielen anderen Tools).

Je einfacher das Problem, welches durch das Tool gelöst wird, desto besser ist die Performanz. Und die meisten Benchmarks testen nicht die zusätzlichen Funktionen, welche das Tool bietet.

Die Hierarchie ist wie folgt:

* **Uvicorn**: ein ASGI-Server
    * **Starlette**: (verwendet Uvicorn) ein Web-Mikroframework

) {
    PER_COMMIT(
        displayName = "Performance Regression Test",
        timeout = 420,
        channel = "commits",
    ),
    PER_DAY(
        displayName = "Slow Performance Regression Test",
        timeout = 420,
        channel = "commits",
    ),
    PER_WEEK(
        displayName = "Performance Experiment",
        timeout = 420,
        channel = "experiments",
    ),

            adHocPerformanceTest(
                listOf(
                    "org.gradle.performance.regression.java.JavaIDEModelPerformanceTest.get IDE model for IDEA",
                    "org.gradle.performance.regression.java.JavaUpToDatePerformanceTest.up-to-date assemble (parallel true)",
                    "org.gradle.performance.regression.corefeature.TaskAvoidancePerformanceTest.help with lazy and eager tasks",
                ),

## Prerequisites

Please make sure the following packages are already installed via `dnf` or `apt`: 

- `tuned`
- `curl`

### Install `tuned.conf` performance profile

#### Step 1 - download `tuned.conf` from the referenced link
```
wget https://raw.githubusercontent.com/minio/minio/master/docs/tuning/tuned.conf
```

                )
                buildReportTab("Incubating APIs Report", "incubation-reports/all-incubating.html")
            }
            if (stage.performanceTests.isNotEmpty()) {
                buildReportTab("Performance", "performance-test-results.zip!report/index.html")
            }
        }

        specificBuildTypes =
            stage.specificBuilds.map {
                it.create(model, stage)
            }

fi

# Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser.
# See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling

    val fileNamePostfix = "$testProject-performance-scenarios.csv"
    val performanceTestSplitDirectoryName = "performance-test-splits"
    val unixScript = """
mkdir -p $performanceTestSplitDirectoryName
rm -rf $performanceTestSplitDirectoryName/*-$fileNamePostfix
cat > $performanceTestSplitDirectoryName/$action-$fileNamePostfix << EOL
${csvLines.joinToString("\n")}
EOL

echo "Performance tests to be ${action}d in this build"

 * <li>Manages cleanup of processed crawler session data</li>
 * </ul>
 *
 * <p>The updater runs continuously until crawling is finished and all documents are processed.
 * It includes error handling, retry logic, and performance monitoring capabilities.
 *
 */
public class IndexUpdater extends Thread {
    /** Logger for this class */
    private static final Logger logger = LogManager.getLogger(IndexUpdater.class);