Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/42#discussion_r10597813
--- Diff: core/src/main/scala/org/apache/spark/scheduler/JobLogger.scala ---
@@ -22,24 +22,25 @@ import java.text.SimpleDateFormat
import java.util.{Date, Properties}
import java.util.concurrent.LinkedBlockingQueue
-import scala.collection.mutable.{HashMap, HashSet, ListBuffer}
+import scala.collection.mutable.HashMap
import org.apache.spark._
import org.apache.spark.executor.TaskMetrics
-import org.apache.spark.rdd.RDD
-import org.apache.spark.storage.StorageLevel
/**
* A logger class to record runtime information for jobs in Spark. This
class outputs one log file
- * for each Spark job, containing RDD graph, tasks start/stop, shuffle
information.
- * JobLogger is a subclass of SparkListener, use addSparkListener to add
JobLogger to a SparkContext
- * after the SparkContext is created.
- * Note that each JobLogger only works for one SparkContext
- * @param logDirName The base directory for the log files.
+ * for each Spark job, containing tasks start/stop and shuffle
information. JobLogger is a subclass
+ * of SparkListener, use addSparkListener to add JobLogger to a
SparkContext after the SparkContext
+ * is created. Note that each JobLogger only works for one SparkContext
+ *
+ * NOTE: The functionality of this class is heavily stripped down to
accommodate for a general
+ * refactor of the SparkListener interface. In its place, the
EventLoggingListener is introduced
+ * to log application information as SparkListenerEvents through the
SparkUI. To enable this
--- End diff --
does it log them "through the SparkUI"? Could you just say:
```
In its place, the EventLoggingListener is introduced to log application
information as serialized SparkListenerEvents
```
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