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wangyum commented on pull request #29022:
URL: https://github.com/apache/spark/pull/29022#issuecomment-654874240
```sql
postgres=# CREATE TABLE test_float2 as SELECT 1.0F, 2.0D, 1.0e2, 1.0e;
SELECT 1
postgres=# \d test_float2;
Table "public.test_float2"
Column
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cloud-fan commented on a change in pull request #28979:
URL: https://github.com/apache/spark/pull/28979#discussion_r450875928
##
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala
##
@@ -102,6 +105,25 @@ case class ScalaUDF(
}
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retest this please
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##
File path:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/UDAQuerySuite.scala
##
@@ -119,6 +119,15 @@ object CountSerDeAgg extends
cloud-fan commented on a change in pull request #28983:
URL: https://github.com/apache/spark/pull/28983#discussion_r450873817
##
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##
@@ -469,7 +471,8 @@ case class ScalaAggregator[IN, BUF,
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HeartSaVioR edited a comment on pull request #28412:
URL: https://github.com/apache/spark/pull/28412#issuecomment-654853105
So if I understand correctly, what we want to confirm is that the
(size+compression):memory ratio goes linearly on the number of tasks or not.
Like short running
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HeartSaVioR commented on pull request #28412:
URL: https://github.com/apache/spark/pull/28412#issuecomment-654866771
That said, probably we also haven't check how much hybrid KV store will help
on the smaller app event log (like 100mb or even smaller in uncompressed). If
that turns out to
cloud-fan commented on pull request #28808:
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thanks, merging to master!
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retest this please
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tgravescs commented on pull request #28412:
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that is correct.
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tgravescs commented on a change in pull request #28972:
URL: https://github.com/apache/spark/pull/28972#discussion_r450859812
##
File path: core/src/main/scala/org/apache/spark/resource/ResourceProfile.scala
##
@@ -245,6 +245,7 @@ object ResourceProfile extends Logging {
//
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HeartSaVioR commented on pull request #28412:
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So if I understand correctly, what we want to confirm is that the
(size+compression)-memory ratio goes linearly on the number of tasks or not.
Like short running
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tgravescs commented on a change in pull request #28972:
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##
File path:
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##
@@ -54,6 +54,19 @@ class ExecutorResourceRequests()
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erikerlandson commented on a change in pull request #28983:
URL: https://github.com/apache/spark/pull/28983#discussion_r450843199
##
File path:
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##
@@ -156,20 +165,11 @@ abstract class
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tgravescs commented on pull request #28412:
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thanks, for testing those combinations, that shows the number of jobs
doesn't affect the memory usage much, but if I'm not mistaken in all the cases
you have 400,000 tasks.
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LantaoJin edited a comment on pull request #28938:
URL: https://github.com/apache/spark/pull/28938#issuecomment-654836968
AFAIK, hive client (metastore clien) is not thread-safe. I don't find any
documentation but I find a patch
LantaoJin commented on pull request #28938:
URL: https://github.com/apache/spark/pull/28938#issuecomment-654836968
In my opinion, hive client (metastore clien) is not thread-safe. I don't
find any documentation but I find a patch
tgravescs commented on pull request #28412:
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test this please
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cloud-fan commented on pull request #28882:
URL: https://github.com/apache/spark/pull/28882#issuecomment-654833008
can we test non-hive compatible file sources like json? e.g. `CREATE TABLE t
USING json LOCATION ...`. It seems like the serde property `path` will always
be different from
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erikerlandson commented on a change in pull request #28983:
URL: https://github.com/apache/spark/pull/28983#discussion_r450837156
##
File path:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/UDAQuerySuite.scala
##
@@ -354,6 +355,13 @@ abstract class UDAQuerySuite
gaborgsomogyi commented on pull request #29024:
URL: https://github.com/apache/spark/pull/29024#issuecomment-654832549
I've created a WIP PR because the MariaDB integration test fails on master
as well so I can't tell this change is good or not:
```
2020-07-07 12:43:13 8 [Warning]
gaborgsomogyi opened a new pull request #29024:
URL: https://github.com/apache/spark/pull/29024
### What changes were proposed in this pull request?
At the moment only the baked in JDBC connection providers can be used but
there is a need to support additional databases and use-cases.
cloud-fan commented on a change in pull request #28882:
URL: https://github.com/apache/spark/pull/28882#discussion_r450833763
##
File path:
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##
@@ -545,7 +545,14 @@ private[spark] class
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retest this please
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cloud-fan commented on pull request #28938:
URL: https://github.com/apache/spark/pull/28938#issuecomment-654809755
Your comments seem to rely on Hive internal details, it's better to have
official document to prove it.
BTW I'm not sure the hive client thread-unsafety comes from
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frgomes commented on pull request #24969:
URL: https://github.com/apache/spark/pull/24969#issuecomment-654809859
@srowen : Feedback: As suspected, the issue was between the keyboard and the
chair. Maybe I was not casting properly, or maybe a typo or maybe some equality
test somewhere...
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LantaoJin commented on a change in pull request #29021:
URL: https://github.com/apache/spark/pull/29021#discussion_r450666963
##
File path:
sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
##
@@ -730,6 +713,67 @@ class
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retest this please
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