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https://issues.apache.org/jira/browse/SPARK-3276?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14113704#comment-14113704
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Sean Owen commented on SPARK-3276:
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Given the nature of a stream processing framework, when would you want to keep
reprocessing all old data? that is something you can do, but, doesn't require
Spark Streaming
> Provide a API to specify whether the old files need to be ignored in file
> input text DStream
> --------------------------------------------------------------------------------------------
>
> Key: SPARK-3276
> URL: https://issues.apache.org/jira/browse/SPARK-3276
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Affects Versions: 1.0.2
> Reporter: Jack Hu
>
> 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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