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https://issues.apache.org/jira/browse/SPARK-25155?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16585355#comment-16585355
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Dongjoon Hyun commented on SPARK-25155:
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Hi, [~gvernik]. Thank you for reporting, but `Fix Version` and `Target Version`
will be handled by the Apache Spark committers later.
- http://spark.apache.org/contributing.html (`JIRA` section).
> Streaming from storage doesn't work when no directories exists
> --------------------------------------------------------------
>
> Key: SPARK-25155
> URL: https://issues.apache.org/jira/browse/SPARK-25155
> Project: Spark
> Issue Type: Bug
> Components: DStreams, Structured Streaming
> Affects Versions: 2.3.1
> Reporter: Gil Vernik
> Priority: Minor
>
> I have an issue related `org.apache.spark.streaming.dstream.FileInputDStream`
> method `findNewFiles`.
> Streaming for the giving path suppose to pickup new files only ( based on the
> previous run timestamp ). However the code in Spark will first obtain
> directories, then for each directory will find new files. Here is the
> relevant code:
> *val* directoryFilter = *new* PathFilter
> { *override def* accept(path: Path): Boolean =
> fs.getFileStatus(path).isDirectory }
> *val* directories = fs.globStatus(directoryPath,
> directoryFilter).map(_.getPath)
> *val* newFiles = directories.flatMap(dir =>
> fs.listStatus(dir, newFileFilter).map(_.getPath.toString))
>
> This is not optimized, as it always requires two accesses. In addition this
> seems to be buggy
> I have an S3 bucket “mydata” with objects “a.csv”, “b.csv”. I noticed that
> fs.globStatus(“[s3a://mydata/], directoryFilter).map(_.getPath) returned 0
> directories and so “a.csv”, “b.csv” were not picked by Spark.
> I tried to make path as “[s3a://mydata/*]” and it didn't worked also.
> I experienced the same problematic behavior with the file system when tried
> to stream from “/Users/streaming/*”
> I suggest to change the code in Spark so it will perform first list without
> directoryFilter, which seems not needed at all. The code could be
> *val* directoriesOrfiles = fs.globStatus(directoryPath).map(_.getPath)
> The flow would be ( for each entry in directoriesOrfiles )
> * If data object: Spark will apply newFileFilter on the returned objects
> * If directory: then the existing code will perform additional listing at
> the directory level
> This way it will pick up files from the root of path and the content of
> directories
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