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LGTM Thanks! Merged to master.
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Normally, we change the default to false or revert the whole PR if the bugs
are found during the RC (release candidate) stage.
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Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/serializers.py ---
@@ -236,6 +237,11 @@ def create_array(s, t):
# TODO: need decode before converting to Arrow
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--- Diff: python/pyspark/serializers.py ---
@@ -236,6 +237,11 @@ def create_array(s, t):
# TODO: need decode before converting to Arrow
Github user gatorsmile commented on the issue:
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We are still targeting this to 2.4, but we need to fix all the identified
bugs before merging it.
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retest this please
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--- Diff:
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@@ -303,94 +303,44 @@ case class LoadDataCommand(
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--- Diff:
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@@ -529,6 +529,10 @@ class Analyzer(
||
Github user gatorsmile commented on the issue:
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@mauropalsgraaf Could you fix the PR title?
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Github user mgaido91 commented on the issue:
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@cloud-fan the problem is that the change is not only for the case when IN
is followed by a listquery. The change is needed also in the other case. And
the reason why this change is needed is to
Github user cloud-fan commented on the issue:
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I prefer returning null, and introduce a strict mode in Spark 3.0. We can
revisit all the returning null cases and think if we should fail if strict mode
is on.
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Maybe we can follow https://github.com/apache/spark/pull/21911 and use hint?
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The example of non-sub-query looks weird. If `where col1 in ((1, 'a'))`
can't work, what is the right query if we do have a struct type column?
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I think this is already fixed.
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--- Diff: core/src/main/scala/org/apache/spark/TaskContext.scala ---
@@ -123,7 +123,7 @@ abstract class TaskContext extends Serializable {
*
Github user gatorsmile commented on the issue:
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@wangyum How about our Hive tables? Add a test case for Hive tables? They
are created by CREATE TABLE instead of CREATE TABLE USING. You can use csv/json
format in the test cases.
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@cloud-fan ok, but then all arithmetic operations should be always
`nullable = true`. I am not sure whether this can introduce performance
regression (the additional checks are also going to
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--- Diff: core/src/main/scala/org/apache/spark/BarrierCoordinator.scala ---
@@ -0,0 +1,184 @@
+/*
+ * Licensed to the Apache Software Foundation
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no, sorry, you're right. In the case when it is not a subquery, it is safe
to treat them as the same. I got confused checking the result of other DBs as
they are all behaving differently in that
Github user ajacques commented on the issue:
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Where does that leave both of these PRs? Do we still want this one with the
code refactoring or to go back to the original? Are there any comments for this
PR that would block merging? I've set
Github user hvanhovell commented on a diff in the pull request:
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@@ -123,7 +123,7 @@ abstract class TaskContext extends Serializable {
*
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Sorry to hear you don't like to support this although in Hive this works
correctly.
If chances of getting this merged are so slim I will wait before
implementing a configuration switch and add
Github user cloud-fan commented on the issue:
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I'd like to avoid changing the signature of an existing expression if
possible. It's not public so we can change it, but I believe some advanced
users use these internal classes and we should
Github user cloud-fan commented on the issue:
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ah that's a good point. Then maybe we should keep this "java style
behavior" and add "strict mode" later.
cc @rxin @rednaxelafx
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--- Diff:
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@@ -567,4 +567,14 @@ package object config {
.intConf
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--- Diff: core/src/main/scala/org/apache/spark/TaskContext.scala ---
@@ -123,7 +123,7 @@ abstract class TaskContext extends Serializable {
*
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--- Diff:
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@@ -538,17 +543,22 @@ class ClosureCleanerSuite2 extends SparkFunSuite
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--- Diff:
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---
@@ -416,6 +416,21 @@ object SimplifyConditionals
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@@ -416,6 +416,21 @@ object SimplifyConditionals
Github user icexelloss commented on the issue:
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@HyukjinKwon arrow 0.10.0 release is around the corner. I think Spark 2.4
will very likely to ship with 0.10.0 (where I believe this issue has been
fixed, @BryanCutler can you confirm?)
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[SPARK-24978][SQL]Add spark.sql.fast.hash.aggregate.row.max.capacity to
configure the capacity of fast aggregation.
## What changes were proposed in this pull request?
this pr add a
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@heary-cao, thanks! I am a bot who has found some folks who might be able
to help with the review:@rxin, @cloud-fan and @yhuai
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Thanks! @HyukjinKwon
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If the revert is very risky, we normally change the default from true to
false when the bug is identified in the RC stage.
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[SPARK-14540][Core] Fix remaining major issues for Scala 2.12 Support
## What changes were proposed in this pull request?
This PR addresses issues 2,3 in the
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@skonto, thanks! I am a bot who has found some folks who might be able to
help with the review:@pwendell, @cloud-fan and @mateiz
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@lrytz @retronym @adriaanm @srowen @felixcheung fyi, pls review.
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@@ -284,6 +284,11 @@ object PartitioningUtils {
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@@ -2217,6 +2218,100 @@ class Analyzer(
}
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@@ -35,6 +36,12 @@ object SchemaConverters {
*
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* If this method fails (by throwing an
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@gatorsmile Oracle's [PARALLEL
Hint](https://docs.oracle.com/en/database/oracle/oracle-database/18/sqlrf/Comments.html#GUID-D25225CE-2DCE-4D9F-8E82-401839690A6E)
is the closest I can find. And [SET
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--- Diff:
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@@ -81,10 +81,10 @@ class SQLMetric(val metricType:
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retest this please.
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@tdas Thanks for the review! Addressed review comments.
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@zsxwing Kindly reminder.
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retest this please
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ping @c-horn
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@zhangchj1990, looks mistakenly open. Close this please.
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