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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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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

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HeartSaVioR commented 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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erikerlandson commented on a change in pull request #28983: URL: https://github.com/apache/spark/pull/28983#discussion_r450843199 ## File path: sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/UDAQuerySuite.scala ## @@ -156,20 +165,11 @@ abstract class

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tgravescs commented on pull request #28412: URL: https://github.com/apache/spark/pull/28412#issuecomment-654838940 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

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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

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[GitHub] [spark] cloud-fan commented on pull request #28882: [SPARK-31751][SQL]Serde property `path` overwrites hive table property location

2020-07-07 Thread GitBox
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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[GitHub] [spark] erikerlandson commented on a change in pull request #28983: [SPARK-32159][SQL] Fix integration between Aggregator[Array[_], _, _] and UnresolvedMapObjects

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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

[GitHub] [spark] gaborgsomogyi commented on pull request #29024: [WIP][SPARK-32001][SQL]Create JDBC authentication provider developer API

2020-07-07 Thread GitBox
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]

[GitHub] [spark] gaborgsomogyi opened a new pull request #29024: [WIP][SPARK-32001][SQL]Create JDBC authentication provider developer API

2020-07-07 Thread GitBox
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.

[GitHub] [spark] cloud-fan commented on a change in pull request #28882: [SPARK-31751][SQL]Serde property `path` overwrites hive table property location

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cloud-fan commented on a change in pull request #28882: URL: https://github.com/apache/spark/pull/28882#discussion_r450833763 ## File path: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala ## @@ -545,7 +545,14 @@ private[spark] class

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[GitHub] [spark] cloud-fan commented on pull request #28938: [SPARK-32118][SQL] Use fine-grained read write lock for each database in HiveExternalCatalog

2020-07-07 Thread GitBox
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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[GitHub] [spark] frgomes commented on pull request #24969: [SPARK-28151][SQL] Fix MsSqlServerDialect Byte/Short/Float type mappings ( DRAFT)

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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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