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https://issues.apache.org/jira/browse/BEAM-9547?focusedWorklogId=610852&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-610852
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ASF GitHub Bot logged work on BEAM-9547:
----------------------------------------
Author: ASF GitHub Bot
Created on: 14/Jun/21 19:07
Start Date: 14/Jun/21 19:07
Worklog Time Spent: 10m
Work Description: kennknowles commented on a change in pull request
#14992:
URL: https://github.com/apache/beam/pull/14992#discussion_r651203658
##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -3210,17 +3230,15 @@ class _DeferredGroupByCols(frame_base.DeferredFrame):
diff = frame_base._elementwise_method('diff', base=DataFrameGroupBy)
fillna = frame_base._elementwise_method('fillna', base=DataFrameGroupBy)
filter = frame_base._elementwise_method('filter', base=DataFrameGroupBy)
- first = frame_base.wont_implement_method(
- DataFrameGroupBy, 'first', reason="order-sensitive")
+ first = frame_base._elementwise_method('first', base=DataFrameGroupBy)
Review comment:
Putting it here cause it to do a `first` globally?
##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -253,6 +253,36 @@ def fillna(self, value, method, axis, limit, **kwargs):
backfill = _fillna_alias('backfill')
pad = _fillna_alias('pad')
+ @frame_base.with_docs_from(pd.DataFrame)
+ def first(self, offset):
+ per_partition = expressions.ComputedExpression(
+ 'first-per-partition',
+ lambda df: df.sort_index().first(offset=offset), [self._expr],
+ preserves_partition_by=partitionings.Arbitrary(),
+ requires_partition_by=partitionings.Arbitrary())
+ with expressions.allow_non_parallel_operations(True):
+ return frame_base.DeferredFrame.wrap(
+ expressions.ComputedExpression(
+ 'first',
+ lambda df: df.sort_index().first(offset=offset), [per_partition],
+ preserves_partition_by=partitionings.Arbitrary(),
+ requires_partition_by=partitionings.Singleton()))
Review comment:
This is the bit that causes it to feed in the whole dataframe to the
DoFn at once?
##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -253,6 +253,36 @@ def fillna(self, value, method, axis, limit, **kwargs):
backfill = _fillna_alias('backfill')
pad = _fillna_alias('pad')
+ @frame_base.with_docs_from(pd.DataFrame)
+ def first(self, offset):
+ per_partition = expressions.ComputedExpression(
+ 'first-per-partition',
+ lambda df: df.sort_index().first(offset=offset), [self._expr],
+ preserves_partition_by=partitionings.Arbitrary(),
Review comment:
Assuming this means that it preserves no partitioning?
##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -3037,10 +3059,8 @@ def do_partition_apply(df):
tail = frame_base.wont_implement_method(
DataFrameGroupBy, 'tail', explanation=_PEEK_METHOD_EXPLANATION)
- first = frame_base.wont_implement_method(
- DataFrameGroupBy, 'first', reason='order-sensitive')
- last = frame_base.wont_implement_method(
- DataFrameGroupBy, 'last', reason='order-sensitive')
+ first = frame_base.not_implemented_method('first')
Review comment:
What's the difference here? I was looking at adjacent lines to see if
there were any analogous functions, to understand at a high level, but I don't
see any.
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Issue Time Tracking
-------------------
Worklog Id: (was: 610852)
Time Spent: 126h (was: 125h 50m)
> Implement all pandas operations (or raise WontImplementError)
> -------------------------------------------------------------
>
> Key: BEAM-9547
> URL: https://issues.apache.org/jira/browse/BEAM-9547
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Brian Hulette
> Assignee: Robert Bradshaw
> Priority: P2
> Labels: dataframe-api
> Time Spent: 126h
> Remaining Estimate: 0h
>
> We should have an implementation for every DataFrame, Series, and GroupBy
> method. Everything that's not possible to implement should get a default
> implementation that raises WontImplementError
> See https://github.com/apache/beam/pull/10757#discussion_r389132292
> Progress at the individual operation level is tracked in a
> [spreadsheet|https://docs.google.com/spreadsheets/d/1hHAaJ0n0k2tw465ORs5tfdy4Lg0DnGWIQ53cLjAhel0/edit],
> consider requesting edit access if you'd like to help out.
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