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Steve Loughran commented on MAPREDUCE-5907: ------------------------------------------- abfs now does incremental listing, but not deep ones > Improve getSplits() performance for fs implementations that can utilize > performance gains from recursive listing > ---------------------------------------------------------------------------------------------------------------- > > Key: MAPREDUCE-5907 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-5907 > Project: Hadoop Map/Reduce > Issue Type: Improvement > Components: client > Affects Versions: 2.4.0 > Reporter: Sumit Kumar > Assignee: Sumit Kumar > Priority: Major > Attachments: MAPREDUCE-5907-2.patch, MAPREDUCE-5907-3.patch, > MAPREDUCE-5907.patch > > > FileInputFormat (both mapreduce and mapred implementations) use recursive > listing while calculating splits. They however do this by doing listing level > by level. That means to discover files in /foo/bar means they do listing at > /foo/bar first to get the immediate children, then make the same call on all > immediate children for /foo/bar to discover their immediate children and so > on. This doesn't scale well for object store based fs implementations like s3 > and swift because every listStatus call ends up being a webservice call to > backend. In cases where large number of files are considered for input, this > makes getSplits() call slow. > This patch adds a new set of recursive list apis that gives opportunity to > the fs implementations to optimize. The behavior remains the same for other > implementations (that is a default implementation is provided for other fs so > they don't have to implement anything new). However for objectstore based fs > implementations it provides a simple change to include recursive flag as true > (as shown in the patch) to improve listing performance. -- This message was sent by Atlassian Jira (v8.20.1#820001) --------------------------------------------------------------------- To unsubscribe, e-mail: mapreduce-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: mapreduce-issues-h...@hadoop.apache.org