Add the following optimal entries for _spark-defaults.conf_ to configure Spark with **MinIO**.

```
spark.hadoop.fs.s3a.access.key minio
spark.hadoop.fs.s3a.secret.key minio123
spark.hadoop.fs.s3a.path.style.access true
spark.hadoop.fs.s3a.block.size 512M
spark.hadoop.fs.s3a.buffer.dir ${hadoop.tmp.dir}/s3a
spark.hadoop.fs.s3a.committer.magic.enabled false
spark.hadoop.fs.s3a.committer.name directory

MinIO versioning is designed to keep multiple versions of an object in one bucket. For example, you could store `spark.csv` (version `ede336f2`) and `spark.csv` (version `fae684da`) in a single bucket. Versioning protects you from unintended overwrites, deletions, protect objects with retention policies.

         * protect ourselves from this, we park ourselves and tell our interrupter that we did so.
         */
        if (state == PARKED || compareAndSet(state, PARKED)) {
          // Interrupting Cow Says:
          //  ______
          // < Park >
          //  ------
          //        \   ^__^
          //         \  (oo)\_______

      currentWaiter.unpark();
    }
  }

  // Gets and Timed Gets
  //
  // * Be responsive to interruption
  // * Don't create Waiter nodes if you aren't going to park, this helps reduce contention on
  //   waitersField.
  // * Future completion is defined by when #valueField becomes non-null/non DelegatingToFuture

      ),
    )
  }

  @Test
  fun `certificate attributes`() {
    val certificate =
      HeldCertificate
        .Builder()
        .certificateAuthority(3)
        .commonName("Jurassic Park")
        .organizationalUnit("Gene Research")
        .addSubjectAlternativeName("*.example.com")
        .addSubjectAlternativeName("www.example.org")
        .validityInterval(-1000L, 2000L)
        .serialNumber(17L)

      currentWaiter.unpark();
    }
  }

  // Gets and Timed Gets
  //
  // * Be responsive to interruption
  // * Don't create Waiter nodes if you aren't going to park, this helps reduce contention on
  //   waitersField.
  // * Future completion is defined by when #valueField becomes non-null/non DelegatingToFuture

Und natürlich würden auf derselben Maschine neben Ihrer Anwendung wahrscheinlich **andere Prozesse** laufen.

Ein interessantes Detail ist dabei, dass der Prozentsatz der von jedem Prozess verwendeten **CPU** im Laufe der Zeit stark **variieren** kann, der **Arbeitsspeicher (RAM)** jedoch normalerweise mehr oder weniger **stabil** bleibt.

    return 1
  fi

  basedir="$1"
  wdir="$1"
  while [ "$wdir" != '/' ]; do
    if [ -d "$wdir"/.mvn ]; then
      basedir=$wdir
      break
    fi
    # workaround for JBEAP-8937 (on Solaris 10/Sparc)
    if [ -d "${wdir}" ]; then
      wdir=$(
        cd "$wdir/.." || exit 1
        pwd
      )
    fi
    # end of workaround
  done
  printf '%s' "$(
    cd "$basedir" || exit 1
    pwd

    Thread.class.getMethod("resume").invoke(thread);
    thread.join();
    // It's possible to race and suspend the thread just before the park call actually takes effect,
    // causing the thread to be suspended for 3.5 seconds, and then park itself for 2 seconds after
    // being resumed. To avoid a flake in this scenario, calculate how long that thread actually

In fast jedem Framework wird die Handhabung der Sicherheit recht schnell zu einem ziemlich komplexen Thema.

Viele Packages, die es stark vereinfachen, müssen viele Kompromisse beim Datenmodell, der Datenbank und den verfügbaren Funktionen eingehen. Und einige dieser Pakete, die die Dinge zu sehr vereinfachen, weisen tatsächlich Sicherheitslücken auf.

---