Github user Sherry302 commented on a diff in the pull request:
https://github.com/apache/spark/pull/14659#discussion_r80579059
--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2421,6 +2421,69 @@ private[spark] object Utils extends Logging {
}
/**
+ * An utility class used to set up Spark caller contexts to HDFS and Yarn.
The `context` will be
+ * constructed by parameters passed in.
+ * When Spark applications run on Yarn and HDFS, its caller contexts will
be written into Yarn RM
+ * audit log and hdfs-audit.log. That can help users to better diagnose
and understand how
+ * specific applications impacting parts of the Hadoop system and
potential problems they may be
+ * creating (e.g. overloading NN). As HDFS mentioned in HDFS-9184, for a
given HDFS operation, it's
+ * very helpful to track which upper level job issues it.
+ *
+ * @param from who sets up the caller context (TASK, CLIENT, APPMASTER)
+ *
+ * The parameters below are optional:
+ * @param appId id of the app this task belongs to
+ * @param appAttemptId attempt id of the app this task belongs to
+ * @param jobId id of the job this task belongs to
+ * @param stageId id of the stage this task belongs to
+ * @param stageAttemptId attempt id of the stage this task belongs to
+ * @param taskId task id
+ * @param taskAttemptNumber task attempt id
+ * @since 2.0.1
+ */
+private[spark] class CallerContext(
+ from: String,
+ appId: Option[String] = None,
+ appAttemptId: Option[String] = None,
+ jobId: Option[Int] = None,
+ stageId: Option[Int] = None,
+ stageAttemptId: Option[Int] = None,
+ taskId: Option[Long] = None,
+ taskAttemptNumber: Option[Int] = None) extends Logging {
+
+ val AppId = if (appId.isDefined) s"_${appId.get}" else ""
--- End diff --
Done.
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