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@sujithjay, I opened a hotfix. It should be fine soon (maybe after few
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[SPARK-22833][Examples][FOLLOWUP] Remove whitespace to fix scalastyle
checks failed
## What changes were proposed in this pull request?
This is a followup PR for:
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[SPARK-22894][SQL] DateTimeOperations should accept SQL like string type
## What changes were proposed in this pull request?
`DateTimeOperations` accept
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[HOTFIX] Fix Scala style checks
## What changes were proposed in this pull request?
This PR fixes a style that broke the build.
## How was this patch tested?
Manually
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I just opened a quick hotfix - https://github.com/apache/spark/pull/20065
as I think we don't run examples in the build and tests and all we need would
just be the style.
Reverting
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Seems this did not passed the test .. this causes a build failure:
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Thanks for review and approval, @dongjoon-hyun and @felixcheung.
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Thank you, @HyukjinKwon . I will try again after the hotfix is merged to
master.
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Thank you @wangyum :D.
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Branch 2.1
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please explain how this patch
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I want to work on Spark MLLIB Jira.
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Github user viirya commented on the issue:
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Not all of expressions can use statement as output. Seems to me there are
only very few scenarios (e.g., a chain of expressions that all can use
statement output by coincidence) we can really save
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I mean sevral files with different compressioncodcs under the same table
directory, like below:
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--- Diff: python/pyspark/sql/tests.py ---
@@ -434,6 +434,16 @@ def test_udf_with_array_type(self):
self.assertEqual(list(range(3)), l1)
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@gatorsmile that is scenario 3. I will explain you why and after I will do
and errata corrige of the summary I did in my last e-mail, because I made a
mistake about how DB2 computes the result
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[SPARK-22892] [SQL] Simplify some estimation logic by using double instead
of decimal
## What changes were proposed in this pull request?
Simplify some estimation logic by using double
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[SPARK-22893][SQL] Unified the data type mismatch message
## What changes were proposed in this pull request?
We should use `dataType.simpleString` to unified the data type mismatch
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I got the overhead, so I pushed the commit to support it.
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2075,9 +2075,10 @@ class PandasUDFType(object):
def udf(f=None, returnType=StringType()):
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[SPARK-22895] [SQL] Push down the deterministic predicates that are after
the first non-deterministic
## What changes were proposed in this pull request?
Currently, we do not guarantee an
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