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Is there a way to fix this without introducing the new unresolved ordinal
classes? If there isn't, can we combine the two into a single UnresolvedOrdinal?
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--- Diff:
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@@ -1,494 +0,0 @@
-/*
- * Licensed to the Apache
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@@ -95,7 +95,7 @@ select a, b from data group by -1
struct<>
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@@ -32,6 +32,7 @@ object
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GitHub user jerryshao opened a pull request:
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[SPARK-17019][Core] Expose on-heap and off-heap memory usage various places
## What changes were proposed in this pull request?
With
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/LDAWrapper.scala ---
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -2121,7 +2121,7 @@ setMethod("arrange",
})
#' @rdname arrange
-#' @name orderBy
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Github user srowen commented on the issue:
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Great, that's all the occurrences, and I like that you added use of the
SPARK_GITHUB_URL property.
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--- Diff:
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@@ -95,7 +95,7 @@ select a, b from data group by -1
struct<>
--
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
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@@ -54,7 +54,7 @@ class JsonFileFormat
Github user clockfly commented on the issue:
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Ping @cloud-fan
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OK, resolved the conflict manually and got it merged into branch-2.0.
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Github user clockfly commented on the issue:
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@rxin
I have to introdce a new unresolved expression as "group by ordinal" and
"order by ordinal" can be turned off by a config like "conf.groupByOrdinal" or
"conf.orderByOrdinal".
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala ---
@@ -74,3 +86,321 @@ private[hive] trait HiveStrategies {
}
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GitHub user jiangxb1987 opened a pull request:
https://github.com/apache/spark/pull/14619
[SPARK-17031][SQL] Add `Scanner` operator to wrap the optimized plan
directly in planner
## What changes were proposed in this pull request?
Added `Scanner` operator to wrap the
Github user clockfly commented on a diff in the pull request:
https://github.com/apache/spark/pull/14616#discussion_r7466
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
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@@ -2223,3 +2223,29 @@ object TimeWindowing extends
Github user maver1ck commented on the issue:
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@viirya
I will after the weekend.
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Github user viirya commented on the issue:
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@gatorsmile Your second query example have two different CTE subqueries.
And no one is reused in the query plan. So we will not see CommonSubquery. The
optimized plan of this query looks like:
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@@ -20,14 +20,21 @@ package
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/LDAWrapper.scala ---
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+/*
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Github user rxin commented on the issue:
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Shouldn't we wrap literals with () to be safe?
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Github user rxin commented on the issue:
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THanks - it's a great 1st step to move the test case. That said, do you
think you can simplify the test data? It is currently very verbose. It'd be
better if it is something much simpler and easier to
Github user clockfly commented on the issue:
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@dongjoon-hyun I have implemented the idea in
https://github.com/apache/spark/pull/14616
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cc @sarutak
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/with.sql ---
@@ -0,0 +1,14 @@
+create temporary view t as select * from values 0, 1, 2 as t(id);
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Github user cloud-fan commented on the issue:
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Can we just add a check in `ResolveAggregateFunctions`? If `groupByOrdinal`
is enabled and aggregate expressions contains integral literals, we skip it.
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/with.sql ---
@@ -0,0 +1,14 @@
+create temporary view t as select * from values 0, 1, 2 as
Github user viirya commented on the issue:
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@dilipbiswal yea. Only when the execution result of CommonSubquery is
asked, it will be materialized then.
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Github user wangmiao1981 commented on the issue:
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@felixcheung I think SparkSubmitAction is good for this purpose. We might
have to make the scope as [spark] instead of [deploy]. So it can be used in
other components if needed. I will create
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Get looks good from @davies and @MLnick , I will get this in firstly. We
can discuss how to make the access scope (public/private) consistent between
Scala and Python in a separate task. Thanks
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test this please
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala ---
@@ -423,6 +423,10 @@ final class DataFrameWriter[T] private[sql](ds:
Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14585
Did this make it into branch-2.0?
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GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/14618
[SPARK-17030] [SQL] Remove/Cleanup HiveMetastoreCatalog.scala
### What changes were proposed in this pull request?
Metadata cache is a key-value cache built on Google Guava Cache to speed up
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14447
**[Test build #63671 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/63671/consoleFull)**
for PR 14447 at commit
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/14618#discussion_r74550355
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveMetastoreCatalog.scala ---
@@ -1,494 +0,0 @@
-/*
- * Licensed to the Apache
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