Thanks, Xinyu, for finding this! On Thu, Mar 25, 2021 at 4:48 PM Kenneth Knowles <k...@apache.org> wrote:
> Cloned to https://issues.apache.org/jira/browse/BEAM-12056 > > On Thu, Mar 25, 2021 at 4:46 PM Brian Hulette <bhule...@google.com> wrote: > >> Yes this looks like https://issues.apache.org/jira/browse/BEAM-11929, I >> removed it from the release blockers since there is a workaround (use a >> NamedTuple type), but it's probably worth cherrypicking the fix. >> >> On Thu, Mar 25, 2021 at 4:44 PM Robert Bradshaw <rober...@google.com> >> wrote: >> >>> This could be https://issues.apache.org/jira/browse/BEAM-11929 >>> >>> On Thu, Mar 25, 2021 at 4:26 PM Robert Bradshaw <rober...@google.com> >>> wrote: >>> >>>> This is definitely wrong. Looking into what's going on here, but this >>>> seems severe enough to be a blocker for the next release. >>>> >>>> On Thu, Mar 25, 2021 at 3:39 PM Xinyu Liu <xinyuliu...@gmail.com> >>>> wrote: >>>> >>>>> Hi, folks, >>>>> >>>>> I am playing around with the Python Dataframe API, and seemly got an >>>>> schema issue when converting pcollection to dataframe. I wrote the >>>>> following code for a simple test: >>>>> >>>>> import apache_beam as beam >>>>> from apache_beam.dataframe.convert import to_dataframe >>>>> from apache_beam.dataframe.convert import to_pcollection >>>>> >>>>> p = beam.Pipeline() >>>>> data = p | beam.Create([('a', '1111'), ('b', '2222')]) | beam.Map( >>>>> lambda x : beam.Row(word=x[0], val=x[1])) >>>>> _ = data | beam.Map(print) >>>>> p.run() >>>>> >>>>> This shows the following: >>>>> Row(val='1111', word='a') Row(val='2222', word='b') >>>>> >>>>> But if I use to_dataframe() to convert it into a df, seems the schema >>>>> was reversed: >>>>> >>>>> df = to_dataframe(data) >>>>> dataCopy = to_pcollection(df) >>>>> _ = dataCopy | beam.Map(print) >>>>> p.run() >>>>> >>>>> I got: >>>>> BeamSchema_4100b64e_16e9_467d_932e_5fc2e4acaca7(word='1111', val='a') >>>>> BeamSchema_4100b64e_16e9_467d_932e_5fc2e4acaca7(word='2222', val='b') >>>>> >>>>> Seems now the column 'word' and 'val' is swapped. The problem seems to >>>>> happen during to_dataframe(). If I print out df['word'], I got '1111' and >>>>> '2222'. I am not sure whether I am doing something wrong or there is an >>>>> issue in the schema conversion. Could someone help me take a look? >>>>> >>>>> Thanks, Xinyu >>>>> >>>>
