Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/9055#issuecomment-168152168
Found a related HIVE JIRA to support the left anti join:
https://issues.apache.org/jira/browse/HIVE-12519
However, their proposed solution has a hole. Anyway
Github user chenghao-intel commented on the pull request:
https://github.com/apache/spark/pull/9055#issuecomment-168104208
ok, closing it now
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Github user chenghao-intel closed the pull request at:
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Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/9055#issuecomment-168101565
@chenghao-intel How about we close this PR for now?
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Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/9055#issuecomment-168101552
I had a offline discussion with @chenghao-intel. We will split this PR to
smaller PRs. The first work will be on the backend operators. Then, we will add
parser and analyz
Github user roland-mendix commented on the pull request:
https://github.com/apache/spark/pull/9055#issuecomment-165722584
We've added our own In/Exists - plus Subquery in Select - support to a
partial fork of Spark SQL Catalyst (which we use in transformations from our
own query langu
Github user maver1ck commented on the pull request:
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So what next ?
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Github user marmbrus commented on the pull request:
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Yeah, sorry. It is too late for a patch this large.
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Github user chenghao-intel commented on the pull request:
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Unfortunately, we probably will miss this in Spark 1.6, as it's almost code
freeze for 1.6. @rxin @yhuai
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Github user gatorsmile commented on the pull request:
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@jameszhouyi
Agree. This is an important feature for any SQL engine. We are also waiting
for this feature. So far, using joins is an alternative to bypass it.
Github user jameszhouyi commented on the pull request:
https://github.com/apache/spark/pull/9055#issuecomment-153918005
Thank you @gatorsmile for your suggestion.
I think this feature("IN" sub query) is necessary for Spark SQL engine as
SQL-on-Hadoop.
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Github user gatorsmile commented on the pull request:
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@jameszhouyi
We hit the same issue. Now, we bypass it by using joins.
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Github user jameszhouyi commented on the pull request:
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Hi @yhuai ,
This missing feature("IN" sub query) in Spark SQL blocked our real-world
case. Could you please help to review this PR ? Strongly hopefully this PR
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Github user chenghao-intel commented on the pull request:
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BTW: IN / NOT IN definitely supports the uncorrelated, but EXISTS/NOT
EXISTS are not in this cases, the same behavior as Hive does.
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Thank you @yhuai for reviewing this.
I've added some more docs for this PR, hopefully make more sense.
First, I'll agree with you to make a general lo
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--- Diff:
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---
@@ -47,4 +48,9 @@ case object RightOuter extends JoinTyp
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--- Diff:
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---
@@ -0,0 +1,450 @@
+/*
+ * Licensed to the Ap
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--- Diff:
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---
@@ -265,6 +265,32 @@ class HiveCo
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--- Diff:
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--- Diff:
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@@ -47,4 +48,9 @@ case object RightOuter extends JoinTyp
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--- Diff:
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---
@@ -408,6 +552,25 @@ class Analyzer(
}
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--- Diff:
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---
@@ -270,6 +273,146 @@ class Analyzer(
}
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@@ -270,6 +273,146 @@ class Analyzer(
}
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@@ -270,6 +273,146 @@ class Analyzer(
}
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@@ -270,6 +273,146 @@ class Analyzer(
}
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@@ -270,6 +273,146 @@ class Analyzer(
}
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@@ -270,6 +273,146 @@ class Analyzer(
}
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@@ -270,6 +273,146 @@ class Analyzer(
}
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--- Diff:
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---
@@ -69,6 +71,7 @@ class Analyzer(
WindowsSu
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala ---
@@ -1485,14 +1490,39 @@
https://cwiki.apache.org/confluence/display/Hive/E
Github user yhuai commented on the pull request:
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Two general comments. First, we need to add document to explain how we
rewrite a plan when (1) there is a uncorrelated subquery and (2) there is a
correlated subquery. Sec
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/9055#discussion_r42581865
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveSemiJoinSuite.scala
---
@@ -0,0 +1,450 @@
+/*
+ * Licensed to the Apache Soft
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
---
@@ -263,3 +263,50 @@ case class UnresolvedAlias(child: Expres
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -408,6 +552,25 @@ class Analyzer(
}
}
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--- Diff:
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@@ -270,6 +273,146 @@ class Analyzer(
}
/**
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@@ -270,6 +273,146 @@ class Analyzer(
}
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@@ -270,6 +273,146 @@ class Analyzer(
}
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@@ -47,4 +48,9 @@ case object RightOuter extends JoinType
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}
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}
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala ---
@@ -1485,14 +1490,39 @@
https://cwiki.apache.org/confluence/display/Hive/Enhanced+A
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retest this please
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Seems not related.
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cc @rxin as well, this is required by many of our customers, and most of
the code change is about the unit test, should not be hard to follow.
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Github user AmplabJenkins commented on the pull request:
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Github user SparkQA commented on the pull request:
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Github user chenghao-intel commented on the pull request:
https://github.com/apache/spark/pull/9055#issuecomment-147273772
No, we don't support that in this PR, but should be very easy to support
once this PR merged. I can plan the work if you feel that's very critical to
your custome
Github user scwf commented on the pull request:
https://github.com/apache/spark/pull/9055#issuecomment-147273499
ok, does this support multi exists and in in where clause?
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Github user chenghao-intel commented on the pull request:
https://github.com/apache/spark/pull/9055#issuecomment-147272870
This is much simpler than #4812, by using the `SubQueryExpression`,
particularly in processing the case
`key IN (subquery) AND other_condition` case. #4812 doe
Github user scwf commented on the pull request:
https://github.com/apache/spark/pull/9055#issuecomment-147272550
what's the difference with #4812?
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Github user chenghao-intel commented on the pull request:
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retest this please
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Github user chenghao-intel commented on the pull request:
https://github.com/apache/spark/pull/9055#issuecomment-147263349
Seems the failure is not related.
retest this please
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