Github user freeman-lab commented on a diff in the pull request:
https://github.com/apache/spark/pull/3803#discussion_r23980541
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala ---
@@ -361,6 +363,25 @@ class StreamingContext private[streaming] (
/**
* Create a input stream that monitors a Hadoop-compatible filesystem
+ * for new files and reads them using the given key-value types and
input format.
+ * Files must be written to the monitored directory by "moving" them
from another
+ * location within the same file system. File names starting with . are
ignored.
+ * @param directory HDFS directory to monitor for new file
+ * @param conf Hadoop configuration
+ * @tparam K Key type for reading HDFS file
+ * @tparam V Value type for reading HDFS file
+ * @tparam F Input format for reading HDFS file
+ */
+ def fileStream[
--- End diff --
Fine with me, though would require wiring the extra arguments (`filter` and
`newFilesOnly`) through to all the binary record methods (because they'll also
need the `conf`). Should we expose those arguments in `binaryRecords`? Or just
use their defaults?
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