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https://issues.apache.org/jira/browse/SPARK-20568?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16717096#comment-16717096
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ASF GitHub Bot commented on SPARK-20568:
----------------------------------------
gaborgsomogyi commented on a change in pull request #22952: [SPARK-20568][SS]
Provide option to clean up completed files in streaming query
URL: https://github.com/apache/spark/pull/22952#discussion_r240569488
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSource.scala
##########
@@ -329,4 +345,124 @@ object FileStreamSource {
def size: Int = map.size()
}
+
+ class FileStreamSourceCleaner(fileSystem: FileSystem, sourcePath: Path,
+ baseArchivePathString: Option[String]) extends
Logging {
+
+ private val sourceGlobFilters: Seq[GlobFilter] =
buildSourceGlobFilters(sourcePath)
+
+ private val baseArchivePath: Option[Path] = baseArchivePathString.map(new
Path(_))
+
+ def archive(entry: FileEntry): Unit = {
+ require(baseArchivePath.isDefined)
+
+ val curPath = new Path(new URI(entry.path))
+ val curPathUri = curPath.toUri
+
+ val newPath = buildArchiveFilePath(curPathUri)
+
+ if (baseArchivePath.get.depth() <= 2) {
Review comment:
I just don't understand this hardcoded 2. Maybe it belongs to
`isArchiveFileMatchedAgainstSourcePattern`?
If that can go away maybe it will be one condition only, not sure.
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> Delete files after processing in structured streaming
> -----------------------------------------------------
>
> Key: SPARK-20568
> URL: https://issues.apache.org/jira/browse/SPARK-20568
> Project: Spark
> Issue Type: New Feature
> Components: Structured Streaming
> Affects Versions: 2.1.0, 2.2.1
> Reporter: Saul Shanabrook
> Priority: Major
>
> It would be great to be able to delete files after processing them with
> structured streaming.
> For example, I am reading in a bunch of JSON files and converting them into
> Parquet. If the JSON files are not deleted after they are processed, it
> quickly fills up my hard drive. I originally [posted this on Stack
> Overflow|http://stackoverflow.com/q/43671757/907060] and was recommended to
> make a feature request for it.
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