Follow these steps to run the Spark Pi example:

- Login as user **‘spark’**.
- When the job runs, the library can now use **MinIO** during intermediate processing.
- Navigate to a node with the Spark client and access the spark2-client directory:

```
cd /usr/hdp/current/spark2-client
su spark
```

    // contract to guarantee ordering among runnables we'd have to modify the logic here to allow
    // it.
    executeListener(runnable, executor);
  }

  /**
   * Runs this execution list, executing all existing pairs in the order they were added. However,
   * note that listeners added after this point may be executed before those previously added, and

**FastAPI** bietet mehrere Tools, die Ihnen helfen, schnell und auf standardisierte Weise mit **Sicherheit** umzugehen, ohne alle Sicherheits-Spezifikationen studieren und erlernen zu müssen.

Aber schauen wir uns zunächst ein paar kleine Konzepte an.

## In Eile?

 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *

    }
    return true;
  }

  private static boolean isWellFormedSlowPath(byte[] bytes, int off, int end) {
    int index = off;
    while (true) {
      int byte1;

      // Optimize for interior runs of ASCII bytes.
      do {
        if (index >= end) {
          return true;
        }
      } while ((byte1 = bytes[index++]) >= 0);

      if (byte1 < (byte) 0xE0) {
        // Two-byte form.

    // contract to guarantee ordering among runnables we'd have to modify the logic here to allow
    // it.
    executeListener(runnable, executor);
  }

  /**
   * Runs this execution list, executing all existing pairs in the order they were added. However,
   * note that listeners added after this point may be executed before those previously added, and

        context.put("username", "******@****.***");

        logger.logEvent(EventType.AUTHENTICATION_SUCCESS, Severity.INFO, "Login attempt", context);

        // The test verifies that the logger runs without errors when masking is enabled
        Map<EventType, Long> stats = logger.getStatistics();
        assertEquals(Long.valueOf(1), stats.get(EventType.AUTHENTICATION_SUCCESS), "Should have 1 authentication event");
    }

import java.util.concurrent.Future;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import org.jspecify.annotations.Nullable;

/**
 * A TimeLimiter that runs method calls in the background using an {@link ExecutorService}. If the
 * time limit expires for a given method call, the thread running the call will be interrupted.
 *
 * @author Kevin Bourrillion
 * @author Jens Nyman

      call.call.cancel()
    }
    for (call in runningSyncCalls) {
      call.cancel()
    }
  }

  /**
   * Promotes eligible calls from [readyAsyncCalls] to [runningAsyncCalls] and runs them on the
   * executor service. Must not be called with synchronization because executing calls can call
   * into user code.
   *
   * @return true if the dispatcher is currently running calls.
   */

///

## Abkürzung, um die Namen zu erinnern

Schauen wir uns das vorherige Beispiel noch einmal an:

{* ../../docs_src/response_status_code/tutorial001.py hl[6] *}

`201` ist der Statuscode für „Created“ („Erzeugt“).