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Posted to issues@beam.apache.org by "Ashwin Ramaswami (Jira)" <ji...@apache.org> on 2020/05/27 16:07:00 UTC

[jira] [Created] (BEAM-10111) Create methods in fileio to read from / write to archive files

Ashwin Ramaswami created BEAM-10111:
---------------------------------------

             Summary: Create methods in fileio to read from / write to archive files
                 Key: BEAM-10111
                 URL: https://issues.apache.org/jira/browse/BEAM-10111
             Project: Beam
          Issue Type: Improvement
          Components: io-py-files
            Reporter: Ashwin Ramaswami
            Assignee: Ashwin Ramaswami


It would be good to be able to read from / write to archive files (.zip, .tar) using fileio. The difference between this proposal and what we already have with CompressionTypes is that this would allow converting one file -> multiple files and vice versa. Here's how it might look like:

*Reading all contents from archive files:*

{code:python}
    files = (
        p
        | fileio.MatchFiles('hdfs://path/to/*.zip')
        | fileio.Extract()
        | fileio.MatchAll()
        | fileio.ReadMatches()
        | beam.Map(lambda x: (x.metadata.path, x.metadata._parent_archive_paths, x.read_utf8()))
    )
{code}

`._parent_archive_paths` will then be equal to an array with the path of the parent zip file (it's an array because we could conceivably nest this by looking for archives within archives)

*Nested archive example:* (look for "`*`" inside of "`*.tar`" inside of "`*.zip`")

{code:python}
    files = (
        p
        | fileio.MatchFiles('hdfs://path/to/*.zip')
        | fileio.Extract()
        | fileio.MatchAll('*.tar')
        | fileio.Extract()
        | fileio.MatchAll() # gets all entries
        | fileio.ReadMatches()
        | beam.Map(lambda x: (x.metadata.path, x.read_utf8()))
    )
{code}

Note that in this case, this would involve modifying MatchAll() to take an argument, which would filter the files in the pcollection in the earlier stage of the pipeline.

*Reading from archive files and explicitly specifying the archive type (when it can't be inferred by the file extension):*

{code:python}
    files = (
        p
        | fileio.MatchFiles('hdfs://path/to/archive')
        | fileio.Extract(, archivesystem=ArchiveSystem.TAR)
        | fileio.MatchAll(archive_path='*.txt')
        | fileio.ReadMatches()
        | beam.Map(lambda x: (x.metadata.path, x.read_utf8()))
    )
{code}

`ArchiveSystem` would be a generic class, just like `FileSystem`, which would allow for different implementations of methods such as `list()` and `extract()`. It would be implemented for .zip, .tar, etc.

*Writing multiple files to an archive file:*

{code:python}
    files = (
        p
        | fileio.MatchFiles('hdfs://path/to/files/*.txt')
        | fileio.ReadMatches()
        | fileio.Compress(archivesystem=ArchiveSystem.ZIP)
        | textio.WriteToText("output.zip")
    )
{code}

*Writing to a .tar.gz file:*

{code:python}
    files = (
        p
        | fileio.MatchFiles('hdfs://path/to/files/*.txt')
        | fileio.ReadMatches()
        | fileio.Compress(archivesystem=ArchiveSystem.TAR)
        | textio.WriteToText("output.tar.gz")
    )
{code}



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