Github user holdensmagicalunicorn commented on the issue:
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@jbax Thanks for the info!
ping @MaxGekk @HyukjinKwon
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--- Diff:
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@@ -303,94 +303,44 @@ case class LoadDataCommand(
Github user gatorsmile commented on the issue:
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Any behavior change?
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Github user gatorsmile commented on the issue:
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@krisgeus This breaks one of our major assumptions. To provide a proper
support, it requires a lot of code changes. Thus, we do not plan to support it
in the short term.
For your use ca
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Github user hvanhovell commented on the issue:
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Yeah I would not worry about it
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@mauropalsgraaf Do you have a JIRA ID? I can assign the ticket to you.
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LGTM
Thanks! Merged to master/2.3
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> `logDebug(s\" + cloning the object $obj of class $`
Is this normal?
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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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Github user gatorsmile commented on the issue:
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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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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 the
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Github user HyukjinKwon commented on the issue:
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@icexelloss you mean we should change minimum PyArrow version as well?
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*
*
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Github user krisgeus commented on the issue:
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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
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--- Diff: docs/configuration.md ---
@@ -1215,6 +1215,14 @@ Apart from these, the following properties are also
available, and may be useful
if it is
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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 icexelloss commented on the issue:
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Thanks! @HyukjinKwon
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*
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?)
Github user cloud-fan commented on the issue:
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I think this is already fixed.
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--- Diff:
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@@ -61,6 +61,9 @@ private[spark] trait TaskScheduler {
*/
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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/BarrierCoordinator.scala ---
@@ -0,0 +1,184 @@
+/*
+ * Licensed to the Apache Software Foundation (A
Github user mgaido91 commented on the issue:
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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 sc
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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Github user cloud-fan commented on the issue:
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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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@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 worsen
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Github user cloud-fan commented on the issue:
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Maybe we can follow https://github.com/apache/spark/pull/21911 and use hint?
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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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--- Diff:
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Github user cloud-fan commented on the issue:
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> One possible solution is to read all contiguous partition in one shot and
then send each shuffle block one by one, how do you think? We may need
benchmark performance in this way.
SGTM.
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 de
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cc @JoshRosen too
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retest this please
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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 conf
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 keep
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@lrytz @retronym @adriaanm @srowen @felixcheung fyi, pls review.
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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
[document](https://docs.google.com/
Github user nrchakradhar commented on a diff in the pull request:
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--- Diff:
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---
@@ -118,12 +119,19 @@ case class BroadcastExchang
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--- Diff:
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---
@@ -1422,11 +1422,26 @@ class Analyzer(
res
Github user jbax commented on the issue:
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Did anyone had a chance to test with the 2.7.3-SNAPSHOT build I released to
see if the performance issue has been addressed? If it has then let me know
and I'll release the final 2.7.3 build.
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[Streaming-24970][Kinesis] Create WriteAheadLogBackedBlockRDD for Kinesis
Streaming if WAL is enabled.
## What changes were proposed in this pull request?
By default, KinesisInput
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Github user HyukjinKwon commented on the issue:
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Im that case, I hope my comments are addressed together before merging it
in. They are non trivial and I dom't usually go with them if there isn't
special reason for it.
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Github user jiangxb1987 commented on the issue:
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retest this please
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Github user HyukjinKwon commented on the issue:
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retest this please
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