Yes doesn't this need access to the actually configured conf object from
the context? This is just making a new conf object.
On Apr 9, 2015 8:08 AM, "emres" <[email protected]> wrote:

> Github user emres commented on a diff in the pull request:
>
>     https://github.com/apache/spark/pull/5438#discussion_r28055824
>
>     --- Diff:
> streaming/src/main/scala/org/apache/spark/streaming/dstream/FileInputDStream.scala
> ---
>     @@ -331,19 +331,22 @@ private[streaming]
>      object FileInputDStream {
>
>        /**
>     -   * 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.
>     +   * Minimum duration of remembering the information of selected
> files. Defaults to 1 minute.
>     +   *
>     +   * 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 val MIN_REMEMBER_DURATION = Minutes(1)
>     +  private val minRememberDurationMin = Minutes(new SparkConf()
>     --- End diff --
>
>     @srowen I'm a little confused. Do you mean something like: "inside
> ``private[streaming] class FileInputDStream[K, V, F <:
> NewInputFormat[K,V]]`` class create a ``private val conf = new
> SparkConf()`` and then use that ``conf`` inside ``private[streaming] object
> FileInputDStream``"?
>
>     Or something totally different?
>
>
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