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Posted to commits@beam.apache.org by "Olivier NGUYEN QUOC (JIRA)" <ji...@apache.org> on 2017/06/21 08:56:00 UTC
[jira] [Updated] (BEAM-2490) ReadFromText function is not taking
all data with glob operator (*)
[ https://issues.apache.org/jira/browse/BEAM-2490?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Olivier NGUYEN QUOC updated BEAM-2490:
--------------------------------------
Summary: ReadFromText function is not taking all data with glob operator (*) (was: ReadFromText function not taking all data with glob operator (*) )
> ReadFromText function is not taking all data with glob operator (*)
> --------------------------------------------------------------------
>
> Key: BEAM-2490
> URL: https://issues.apache.org/jira/browse/BEAM-2490
> Project: Beam
> Issue Type: Bug
> Components: sdk-py
> Affects Versions: 2.0.0
> Environment: Usage with Google Cloud Platform: Dataflow runner
> Reporter: Olivier NGUYEN QUOC
> Assignee: Ahmet Altay
>
> I run a very simple pipeline:
> * Read my files from storage
> * Split with '\n' char
> * Write in on a Google Cloud Storage
> I have 6 files matching with the pattern:
> * my_files_2016090116_20160902_060051_xxxxxxxxxx.csv.gz (229.25 MB)
> * my_files_2016090117_20160902_060051_xxxxxxxxxx.csv.gz (184.1 MB)
> * my_files_2016090118_20160902_060051_xxxxxxxxxx.csv.gz (171.73 MB)
> * my_files_2016090119_20160902_060051_xxxxxxxxxx.csv.gz (151.34 MB)
> * my_files_2016090120_20160902_060051_xxxxxxxxxx.csv.gz (129.69 MB)
> * my_files_2016090121_20160902_060051_xxxxxxxxxx.csv.gz (151.7 MB)
> * my_files_2016090122_20160902_060051_xxxxxxxxxx.csv.gz (346.46 MB)
> * my_files_2016090122_20160902_060051_xxxxxxxxxx.csv.gz (222.57 MB)
> It run well but there is only a 288.62 MB file in output of this pipeline (instead of a 1.5 GB file).
> {code:python}
> data = (p | 'ReadMyFiles' >> beam.io.ReadFromText(
> "gs://XXXX_folder1/my_files_20160901*.csv.gz",
> skip_header_lines=1,
> compression_type=beam.io.filesystem.CompressionTypes.GZIP
> )
> | 'SplitLines' >> beam.FlatMap(lambda x: x.split('\n'))
> )
> output = (
> data| "Write" >> beam.io.WriteToText('gs://XXX_folder2/test.csv', num_shards=1)
> )
> {code}
> Dataflow indicates me that the estimated size of the output after the ReadFromText step is 602.29 MB only, which not correspond to any unique input file size nor the overall file size matching with the pattern.
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