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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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@@ -896,6 +896,25 @@ class SQLQuerySuite extends QueryTest with
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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GitHub user maropu opened a pull request:
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[SPARK-23589][SQL][FOLLOW-UP] Reuse InternalRow in ExternalMapToCatalyst
eval
## What changes were proposed in this pull request?
This pr is a follow-up of #20980 and fixes code to reuse
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Github user jose-torres commented on a diff in the pull request:
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--- Diff:
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@@ -492,6 +492,77 @@ class StreamingQuerySuite extends
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LGTM, I think it's broadly correct for query nodes to assume the session
has been initialized
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--- Diff:
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@@ -0,0 +1,179 @@
+/*
+ * Licensed to the
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@@ -158,6 +158,7 @@ abstract class
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Github user srowen commented on the issue:
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Version info is already available, in the code and in the UI. "Compiled by"
info has never struck me as useful. The rest is from the env. I don't think
this adds anything.
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How about the other information?
As mentioned,the build info @vanzin
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2186,6 +2186,29 @@ def map_values(col):
return
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@@ -771,7 +778,16 @@ class
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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Github user dongjoon-hyun commented on the issue:
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+1 for @jerryshao 's comment. Some of Hive UTs will fail with Hadoop 3
profile.
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[SPARK-24060][TEST] StreamingSymmetricHashJoinHelperSuite should initialize
after SparkSession creation
## What changes were proposed in this pull request?
We should ensure that the
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[SPARK-24061][SS]Add TypedFilter support for continuous processing
## What changes were proposed in this pull request?
Add TypedFilter support for continuous processing application.
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@xuanyuanking , please help to review for this path. Thank you!
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Agree and thank you @squito .
And thanks for all of you. @felixcheung @mridulm @jiangxb1987 @srowen
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Seems ok to me, long as it passes retest
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retest this please.
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Merging to master, thanks @liu-zhaokun
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Moreover, you can set `spark.yarn.stagingDir` to whatever you want, and may
even reference env variables or system properties. e.g.
```
spark.yarn.stagingDir=/tmp/${system:user.name}
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