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
```

import org.apache.maven.model.Plugin;
import org.apache.maven.plugin.MojoExecution;
import org.apache.maven.plugin.descriptor.MojoDescriptor;

// TODO lifecycles being executed
// TODO what runs in each phase
// TODO plugins that need downloading
// TODO project dependencies that need downloading
// TODO unfortunately the plugins need to be downloaded in order to get the plugin.xml file. need to externalize this

Change the logging level of ES (not Gradle)

--------------------------------
./gradlew test -Dtests.es.logger.level=DEBUG
--------------------------------

Print all the logging output from the test runs to the commandline
even if tests are passing.

------------------------------
./gradlew test -Dtests.output=always
------------------------------

Configure the heap size.

    // Then, run the actual tests under each alternative classloader:

    runTestMethod(NO_ATOMIC_FIELD_UPDATER);
    // TODO(lukes): assert that the logs are full of errors
  }

  /**
   * Runs the corresponding {@link FuturesTest} test method in a new classloader that disallows
   * certain core JDK classes.
   */
  private void runTestMethod(ClassLoader classLoader) throws Exception {

    taskFaker.runTasks()
    assertThat(log).isEmpty()

    // At 100.µs, the coordinator runs the red task and starts a thread for the new coordinator.
    taskFaker.advanceUntil(100.µs)
    assertThat(log).containsExactly("red:run@100000")
    assertThat(taskFaker.executeCallCount).isEqualTo(2)

    // At 200.µs, the blue task runs.
    taskFaker.advanceUntil(200.µs)

       * lets all futures share the same listener.
       *
       * We store `localFuturesOrNull` inside the listener because `this.futures` might be nulled
       * out by the time the listener runs for the final future -- at which point we need to check
       * all inputs for exceptions *if* we're collecting values. If we're not, then the listener
       * doesn't need access to the futures again, so we can just pass `null`.

     * If the output future is done, then it won't need to interrupt the task later, so it can clear
     * its reference to it.
     *
     * If the output future is *not* done, then the task field will be cleared after the task runs
     * or after the output future is done, whichever comes first.
     */
    if (reason == OUTPUT_FUTURE_DONE) {
      this.task = null;
    }
  }

  @Override
  protected void interruptTask() {

   */
  public static ListeningScheduledExecutorService noOpScheduledExecutor() {
    return new NoOpScheduledExecutorService();
  }

  /**
   * Creates a scheduled executor service that runs each task in the thread that invokes {@code
   * execute/submit/schedule}, as in {@link CallerRunsPolicy}. This applies both to individually

                return "";
            }
        });

        mimeTypeHelper.init();

        // With empty config, no override is applied; content-based detection runs
        try (InputStream is = new ByteArrayInputStream(SQL_REM_CONTENT.getBytes(StandardCharsets.UTF_8))) {
            final String contentType = mimeTypeHelper.getContentType(is, "test.sql");

```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