maropu commented on pull request #28912:
URL: https://github.com/apache/spark/pull/28912#issuecomment-650637938
> Hi, All. So, this is a regression at 3.0.0 and we need this in branch-3.0
for Apache Spark 3.0.1?
Yea, I think so, too:
https://github.com/apache/spark/blob/branch-3.0/s
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maropu commented on a change in pull request #28898:
URL: https://github.com/apache/spark/pull/28898#discussion_r446499537
##
File path:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasingSuite.scala
##
@@ -493,6 +491,58 @@ class NestedColu
maropu commented on a change in pull request #28804:
URL: https://github.com/apache/spark/pull/28804#discussion_r446571681
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##
@@ -2196,6 +2196,13 @@ object SQLConf {
.checkValue(bit =>
maropu edited a comment on pull request #28804:
URL: https://github.com/apache/spark/pull/28804#issuecomment-650552251
> it is more of a manual step and can be used only if the user knows the
nature of data upfront.Like in my benchmark, where we expect the the all but
few grouping keys to
maropu commented on pull request #28804:
URL: https://github.com/apache/spark/pull/28804#issuecomment-650636794
> No, The Final aggregation will take care giving the right results.
This is like more like setting the Aggregation mode to
org.apache.spark.sql.catalyst.expressions.aggregate.
frankyin-factual commented on a change in pull request #28898:
URL: https://github.com/apache/spark/pull/28898#discussion_r446568773
##
File path:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasingSuite.scala
##
@@ -493,6 +491,58 @@ class
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Hmm, weird that the test is failing. I've just pulled in the latest master
to retrigger the tests.
This is an aut
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URL: https://github.com/apache/spark/pull/28541#discussion_r446547861
##
File path: core/src/main/scala/org/apache/spark/memory/ExecutionMemoryPool.scala
##
@@ -105,11 +106,12 @@ private[memory] class ExecutionMemoryPo
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dongjoon-hyun commented on pull request #28545:
URL: https://github.com/apache/spark/pull/28545#issuecomment-650589010
Hi, @karolchmist . Thank you for contribution.
Apache Spark 3.0.0 is released. Can we resume this work for Apache Spark
3.1.0 (December 2020)?
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Can one of the admins verify this patch?
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Retest this please
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Retest this please.
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Retest this please
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dongjoon-hyun commented on a change in pull request #28865:
URL: https://github.com/apache/spark/pull/28865#discussion_r446547164
##
File path:
core/src/test/scala/org/apache/spark/metrics/sink/PrometheusServletSuite.scala
##
@@ -0,0 +1,64 @@
+/*
+ * Licensed to the Apache Sof
dongjoon-hyun edited a comment on pull request #28865:
URL: https://github.com/apache/spark/pull/28865#issuecomment-650588035
No. Please test on Apache Spark 3.0.0. DropWizard 4 itself introduced type
attribute(e.g: type="gauges") and `PrometheusSevlet` just follows that
inevitably.
> P
dongjoon-hyun commented on pull request #28865:
URL: https://github.com/apache/spark/pull/28865#issuecomment-650588035
Please test on Apache Spark 3.0.0. DropWizard 4 itself introduced type
attribute(e.g: type="gauges") and `PrometheusSevlet` just follows that
inevitably.
---
dongjoon-hyun commented on pull request #28912:
URL: https://github.com/apache/spark/pull/28912#issuecomment-650587607
Hi, All. So, this is a regression at 3.0.0 and we need this in `branch-3.0`
for Apache Spark 3.0.1?
This
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karuppayya commented on pull request #28804:
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> > it is more of a manual step and can be used only if the user knows the
nature of data upfront.Like in my benchmark, where we expect the the all but
few grouping keys to b
wangyum commented on pull request #28934:
URL: https://github.com/apache/spark/pull/28934#issuecomment-650582509
Another case:
Default | Avoid coalescing shuffle partitions
--- | ---
https://user-images.githubusercontent.com/5399861/85927019-f3707600-b8d5-11ea-8f61-d2456037d02b.
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wangyum opened a new pull request #28934:
URL: https://github.com/apache/spark/pull/28934
### What changes were proposed in this pull request?
The data usually expand if joining event-based table(Chinese named 拉链表).
This PR makes it avoid coalescing shuffle partitions if joining even
viirya commented on a change in pull request #27690:
URL: https://github.com/apache/spark/pull/27690#discussion_r446540549
##
File path:
sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/SaveAsHiveFile.scala
##
@@ -97,12 +99,38 @@ private[hive] trait SaveAsHiveFile e
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maropu commented on pull request #28804:
URL: https://github.com/apache/spark/pull/28804#issuecomment-650552251
> it is more of a manual step and can be used only if the user knows the
nature of data upfront.Like in my benchmark, where we expect the the all but
few grouping keys to be diff
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dbaliafroozeh commented on a change in pull request #28885:
URL: https://github.com/apache/spark/pull/28885#discussion_r446516852
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/reuse/Reuse.scala
##
@@ -0,0 +1,95 @@
+/*
+ * Licensed to the Apache Software
moomindani commented on a change in pull request #27690:
URL: https://github.com/apache/spark/pull/27690#discussion_r446516892
##
File path:
sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/SaveAsHiveFile.scala
##
@@ -97,12 +99,38 @@ private[hive] trait SaveAsHiveFi
dbaliafroozeh commented on a change in pull request #28885:
URL: https://github.com/apache/spark/pull/28885#discussion_r446514163
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/QueryExecution.scala
##
@@ -326,7 +327,8 @@ object QueryExecution {
*/
dbaliafroozeh commented on a change in pull request #28885:
URL: https://github.com/apache/spark/pull/28885#discussion_r446514163
##
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/QueryExecution.scala
##
@@ -326,7 +327,8 @@ object QueryExecution {
*/
maropu commented on pull request #28912:
URL: https://github.com/apache/spark/pull/28912#issuecomment-650537977
hm..., I'm not sure about the root cause, but I think the simplest way to
fix the issue is that we just remove the mockito part if its possible to test
this PR without it.
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maropu commented on pull request #28425:
URL: https://github.com/apache/spark/pull/28425#issuecomment-650536856
kindly ping @gengliangwang @cloud-fan
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##
File path:
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##
@@ -488,6 +489,25 @@ class FileIndexSuite extends
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##
File path:
sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveMetadataCacheSuite.scala
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@@ -126,4 +129,39 @@ class HiveMetadataCacheSuite extends
maropu commented on pull request #28676:
URL: https://github.com/apache/spark/pull/28676#issuecomment-650535975
retest this please
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maropu commented on a change in pull request #28898:
URL: https://github.com/apache/spark/pull/28898#discussion_r446508750
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasing.scala
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@@ -39,6 +39,22 @@ object NestedColumnAlia
maropu commented on a change in pull request #28898:
URL: https://github.com/apache/spark/pull/28898#discussion_r446502299
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasing.scala
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@@ -39,6 +39,22 @@ object NestedColumnAlia
maropu commented on a change in pull request #28898:
URL: https://github.com/apache/spark/pull/28898#discussion_r446500230
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File path:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/SchemaPruningSuite.scala
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@@ -460,6 +460,40 @@ abstract class SchemaPru
maropu commented on a change in pull request #28898:
URL: https://github.com/apache/spark/pull/28898#discussion_r446499982
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File path:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/SchemaPruningSuite.scala
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@@ -460,6 +460,40 @@ abstract class SchemaPru
maropu commented on a change in pull request #28898:
URL: https://github.com/apache/spark/pull/28898#discussion_r446499910
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File path:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasingSuite.scala
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@@ -493,6 +491,58 @@ class NestedColu
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