Github user jomach commented on the issue:
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@gatorsmile I dressed your comments. Still I cannot use the jekyll build...
`SKIP_API=1 jekyll build --incremental
Configuration file: /Users/jorge/Downloads/spark/docs/_config.yml
Github user ueshin commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/session.py ---
@@ -510,9 +511,43 @@ def createDataFrame(self, data, schema=None,
samplingRatio=None, verifySchema=Tr
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Thanks! Merged to master.
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3376,6 +3376,151 @@ def test_vectorized_udf_empty_partition(self):
res =
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--- Diff:
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@@ -519,3 +519,4 @@ case class CoGroup(
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3376,6 +3376,151 @@ def test_vectorized_udf_empty_partition(self):
res =
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2181,30 +2187,66 @@ def udf(f=None, returnType=StringType()):
@since(2.3)
def
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3376,6 +3376,151 @@ def test_vectorized_udf_empty_partition(self):
res =
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--- Diff:
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@@ -0,0 +1,43 @@
+/*
+ *
Github user sohum2002 commented on the issue:
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I just added "Removed one comment from RDDSuite." to the PR description.
Will this suffice?
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@WeichenXu123, could you please notify @jkbradley once again?
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Thanks! Merged to master.
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LGTM
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Could you please update the description why you want to apply this change?
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LGTM
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@BryanCutler, BTW, do you think it is possible to de-duplicate timezone
handling within Python side if we go for 1.?
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Github user HyukjinKwon commented on the issue:
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I think I prefer 1. Do you maybe have a preference @ueshin? I believe you
are more insightful in this.
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Github user ajbozarth commented on the issue:
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With @jerryshao comments I'm going to get off the fence firmly against
this, we already have too many things slowing down the SHS as it is
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Github user maropu commented on the issue:
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Aha, I feel fair enough. Based the insight, there is one of solutions to
make the wholestage codegen consider #calls of gen'd functions though, it seems
the approach is not simple. So, splitting
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Github user icexelloss commented on the issue:
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Merged some last minute changes from @BryanCutler to make the wrapping a
bit cleaner. Thanks @BryanCutler!
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@@ -68,6 +68,26 @@ private[hive] trait SaveAsHiveFile
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@@ -435,6 +435,35 @@ class RelationalGroupedDataset
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@@ -0,0 +1,103 @@
+/*
+ * Licensed
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Can one of the admins verify this patch?
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Cleanup comment in RDDSuite test
## What changes were proposed in this pull request?
There were not changes proposed in this pull request.
## How was this patch tested?
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Thank you all for your comments. I hope to improve in my future PRs. Cheers!
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Honestly I don't think it is worth doing this.
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cc @rxin @gatorsmile
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[SPARK-22159][SQL][FOLLOW-UP] Make config names consistently end with
"enabled".
## What changes were proposed in this pull request?
This is a follow-up of #19384.
In the previous
Github user viirya commented on the issue:
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The above reasoning also explains the motivation and the effect of #18931
too.
The generated codes of query operators are extracted to individual smaller
functions. It is beneficial to step
Github user viirya commented on the issue:
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@maropu The codes to do aggregation are actually wrapped in a function
`doAggregateWithKeys`/`doAggregateWithoutKey`. This is also the part of
generated codes this PR improves by extracting
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@@ -435,6 +435,35 @@ class RelationalGroupedDataset
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--- Diff:
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@@ -0,0 +1,103 @@
+/*
+ * Licensed to
Github user jerryshao commented on the issue:
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I agree with @squito that the criteria to define application's success
should be well considered. Here in your current code, only if all the jobs are
successful then the application is marked as
Github user maropu commented on the issue:
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Either way, I think we first need to know why the regression on `q66`
happens when turning off wholestage codegen. We first thought turning off
too-long functions had better performance, but it is
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2543,6 +2543,14 @@ class Dataset[T] private[sql](
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--- Diff:
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@@ -203,4 +205,16 @@ private[sql] object
Github user viirya commented on a diff in the pull request:
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--- Diff: core/src/test/scala/org/apache/spark/rdd/RDDSuite.scala ---
@@ -63,6 +63,7 @@ class RDDSuite extends SparkFunSuite with
SharedSparkContext {
Github user viirya commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -382,6 +382,13 @@ abstract class RDD[T: ClassTag](
}
/**
+*
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3147,6 +3150,14 @@ def test_filtered_frame(self):
self.assertEqual(pdf.columns[0], "i")
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Github user viirya commented on the issue:
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@VDuda Thanks for asking. This is a big change. I hope this PR can resolve
SPARK-8515.
Most APIs are ready. I'm working on the compatibility with current
attribute APIs. When it is ready,
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Github user zsxwing commented on the issue:
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Discussed offline. We don't need to backport to branch-2.2.
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Github user BryanCutler commented on the issue:
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Ok sounds good. Could I get some opinions on the best way to convert
internal Spark timestamps since they are stored as UTC time? I think we have
the following options:
1. Write
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Github user ajbozarth commented on the issue:
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So I think I know why the appId was handled the way it was, the live app ui
no longer works because the appId var is "undefined" in all the api calls
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Oh, there are some conflicts with 2.2. @joseph-torres could you submit a
backport PR, please?
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Thanks! Merging to master and 2.2.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/18664
Yup, I think we already don't have timezone in `udf` too? I think we are
fine as long as it keeps the existing behaviour. Let's don't forget to handle
all those cases when we deal with timezone
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/19250
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Github user AmplabJenkins commented on the issue:
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