Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/3419#discussion_r20773558
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/dstream/FileInputDStream.scala
---
@@ -193,57 +306,25 @@ class FileInputDStream[K: ClassTag, V: ClassTag, F <:
NewInputFormat[K,V] : Clas
hadoopFiles.map(p => (p._1, p._2.mkString(", "))).mkString("\n") +
"\n]"
}
}
+}
+
+private[streaming]
+object FileInputDStream {
/**
- * Custom PathFilter class to find new files that
- * ... have modification time more than ignore time
- * ... have not been seen in the last interval
- * ... have modification time less than maxModTime
+ * Minimum duration of remembering the information of selected files.
Files with mod times
+ * older than this "window" of remembering will be ignored. So if new
files are visible
+ * within this window, then the file will get selected in the next batch.
*/
- private[streaming]
- class CustomPathFilter(maxModTime: Long) extends PathFilter {
+ private val REMEMBER_DURATION = Minutes(1)
--- End diff --
should this be called `MINIMUM_REMEMBER_DURATION`? There is also a variable
called `durationToRemember` that might be different than this. I found it a bit
confusing to have something called `durationToRemember` and another thing
called `REMEMBER_DURATION` but they can have different values.
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