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https://issues.apache.org/jira/browse/SPARK-3276?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14483174#comment-14483174
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Emre Sevinç edited comment on SPARK-3276 at 4/7/15 2:36 PM:
------------------------------------------------------------
[~srowen] would it be fine if I added a public API method on FileInputDStream
class that takes a single parameter (duration) and sets the value of
{{MIN_REMEMBER_DURATION}} to that value? And of course, at the same time
changing MIN_REMEMBER_DURATION from a constant into a variable, with a default
value of 1 minute (that is the currently hard-coded value).
Or, as an alternative to achieve the similar effect: Create another Spark
configuration property (with a default value of 1 minute) and re-factor the
code so that (the new) {{minRememberDuration}} variable takes its value from
that property.
Right now, I have no idea which of the above two approaches is more meaningful
/ idiomatic. Any comments?
was (Author: emres):
[~srowen] would it be fine if I added a public API method on FileInputDStream
class that takes a single parameter (duration) and sets the value of
MIN_REMEMBER_DURATION to that value? And of course, at the same time changing
MIN_REMEMBER_DURATION from a constant into a variable, with a default value of
1 minute (that is the currently hard-coded value).
> Provide a API to specify MIN_REMEMBER_DURATION for files to consider as input
> in streaming
> ------------------------------------------------------------------------------------------
>
> Key: SPARK-3276
> URL: https://issues.apache.org/jira/browse/SPARK-3276
> Project: Spark
> Issue Type: Improvement
> Components: Streaming
> Affects Versions: 1.2.0
> Reporter: Jack Hu
> Priority: Minor
>
> Currently, only one API called textFileStream in StreamingContext to specify
> the text file dstream, which ignores the old files always. On some times, the
> old files is still useful.
> Need a API to let user choose whether the old files need to be ingored or not
> .
> The API currently in StreamingContext:
> def textFileStream(directory: String): DStream[String] = {
> fileStream[LongWritable, Text,
> TextInputFormat](directory).map(_._2.toString)
> }
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