Github user dongjoon-hyun commented on the issue:
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Hi, All.
Can we have this in Spark 2.3, too?
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Github user kiszk commented on the issue:
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LGTM for this behavior and comments.
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Github user HyukjinKwon commented on the issue:
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Just in case, I am testing with:
```R
df <- createDataFrame(list(list(a="abcdef")))
collect(select(df, substr(df$a, 4, 5)))
substr("abcdef", 4, 5)
```
just in
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Thanks! Merged to master.
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cc @liufengdb
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Github user HyukjinKwon commented on the issue:
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I was just manually double checking both substr in R and this. It seems
correct; however, I think we should add a note in the doc and release note ...
One followup question is though,
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thanks, merging to master!
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--- Diff: python/pyspark/sql/tests.py ---
@@ -2858,16 +2833,6 @@ def
test_create_dataframe_from_pandas_with_timestamp(self):
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--- Diff: python/pyspark/sql/tests.py ---
@@ -2819,13 +2802,6 @@ def test_to_pandas(self):
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[SPARK-23292][TEST] always run python tests
## What changes were proposed in this pull request?
We should not skip any tests, otherwise we can't trust the jenkins report.
This
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LGTM
@atallahhezbor Could you submit another PR to address the comment from
@liufengdb ?
This fix is nice to have in Spark 2.3. Let merge this now.
Thanks! Merged to
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--- Diff: python/pyspark/sql/functions.py ---
@@ -809,6 +809,48 @@ def ntile(n):
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BTW we should also update `ColumnarBatchSuite` for the "return null"
behavior
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Github user viirya commented on the issue:
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@shivaram Thanks for pointing out it. I made change to the description.
Hopefully it is clearer now. Basically I just want to clarify why R's substr
tests are correct previously.
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Thanks! Merged to master/2.3
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It's covered in this PR #20459 So go there discuss.
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Just to be sure -- this was never public in a released version of Spark
right? so hiding it isn't changing an API.
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[SPARK-23110][MINOR] Make linearRegressionModel constructor private
## What changes were proposed in this pull request?
make linearRegressionModel constructor private[ml]
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--- Diff: python/pyspark/sql/window.py ---
@@ -217,11 +242,16 @@ def rangeBetween(self, start, end):
:param end: boundary end, inclusive.
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thanks, merging to master!
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Github user shivaram commented on the issue:
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Thanks for clarifying @viirya. Is the PR description accurate ? I read it
as `..SQL's substr also accepts zero-based starting position` while R uses a
1-based starting position.
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--- Diff: python/pyspark/sql/window.py ---
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Github user viirya commented on the issue:
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@shivaram This fix is to make it correctly 1-based. Previously SparkR
substr API substracts starting position by 1, so it becomes zero-based.
This fix matches R's substr in above link as I
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thanks, merging to master/2.3!
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One thing to keep in mind is what the user's perception of the API is. If R
users are going to use 1-based indexing then this might not be the right fix ?
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--- Diff: python/pyspark/sql/dataframe.py ---
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else:
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Also @shivaram
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One more thing to notice is that the two parameters (starting and ending
positions) of R's substr API is also unaligned with Scala's substr which takes
starting position and substring length.
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LGTM
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@@ -199,7 +200,7 @@ object ExtractFiltersAndInnerJoins
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[SPARK-23291][SQL][R] R's substr should not reduce starting position by 1
when calling Scala API
## What changes were proposed in this pull request?
Seems R's substr API treats Scala
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> We can add things like limit pushdown later, by adding it properly to the
existing code.
I tried and can't figure out how to do it with `PhysicalOperation`, that's
why I build
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Currently `DataSourceOptions` is the major way for Spark and users to pass
information to the data source. It's very flexible and only defines one rule:
the option key lookup should be
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Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/20435
LGTM, also cc @rdblue
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/20422
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