[GitHub] [spark] AmplabJenkins removed a comment on issue #27252: [SPARK-29231][SQL] Constraints should be inferred from cast equality constraint

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[GitHub] [spark] AmplabJenkins removed a comment on issue #27252: [SPARK-29231][SQL] Constraints should be inferred from cast equality constraint

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[GitHub] [spark] beliefer commented on issue #27508: [SPARK-30763][SQL] Fix java.lang.IndexOutOfBoundsException No group 1 for regexp_extract

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beliefer commented on issue #27508: [SPARK-30763][SQL] Fix 
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URL: https://github.com/apache/spark/pull/27508#issuecomment-585076281
 
 
   @maropu @cloud-fan @dongjoon-hyun Thanks for all your work.


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[GitHub] [spark] SparkQA removed a comment on issue #27252: [SPARK-29231][SQL] Constraints should be inferred from cast equality constraint

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[GitHub] [spark] AmplabJenkins removed a comment on issue #27545: [SPARK-29542][FOLLOW-UP] Keep the description of spark.sql.files.* in tuning guide be consistent with that in SQLConf.

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[GitHub] [spark] AmplabJenkins removed a comment on issue #27545: [SPARK-29542][FOLLOW-UP] Keep the description of spark.sql.files.* in tuning guide be consistent with that of SQLConf.

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[GitHub] [spark] HyukjinKwon commented on issue #27545: [SPARK-29542][FOLLOW-UP] Keep the description of spark.sql.files.* in tuning guide be consistent with that of SQLConf.

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AmplabJenkins commented on issue #27537: [WIP][SPARK-30668][SQL][FOLLOWUP] 
Raise exception instead of silent change for new TimestampFormatter
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[GitHub] [spark] SparkQA removed a comment on issue #27537: [WIP][SPARK-30668][SQL][FOLLOWUP] Raise exception instead of silent change for new TimestampFormatter

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SparkQA removed a comment on issue #27537: [WIP][SPARK-30668][SQL][FOLLOWUP] 
Raise exception instead of silent change for new TimestampFormatter
URL: https://github.com/apache/spark/pull/27537#issuecomment-584984590
 
 
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[GitHub] [spark] SparkQA commented on issue #27537: [WIP][SPARK-30668][SQL][FOLLOWUP] Raise exception instead of silent change for new TimestampFormatter

2020-02-11 Thread GitBox
SparkQA commented on issue #27537: [WIP][SPARK-30668][SQL][FOLLOWUP] Raise 
exception instead of silent change for new TimestampFormatter
URL: https://github.com/apache/spark/pull/27537#issuecomment-585064202
 
 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27539: [SPARK-30786] [CORE] Fix Block replication failure propogation issue in BlockManager

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[GitHub] [spark] AmplabJenkins commented on issue #27539: [SPARK-30786] [CORE] Fix Block replication failure propogation issue in BlockManager

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[GitHub] [spark] AmplabJenkins removed a comment on issue #27539: [SPARK-30786] [CORE] Fix Block replication failure propogation issue in BlockManager

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[GitHub] [spark] AmplabJenkins commented on issue #27539: [SPARK-30786] [CORE] Fix Block replication failure propogation issue in BlockManager

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[GitHub] [spark] SparkQA commented on issue #27539: [SPARK-30786] [CORE] Fix Block replication failure propogation issue in BlockManager

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SparkQA commented on issue #27539: [SPARK-30786] [CORE] Fix Block replication 
failure propogation issue in BlockManager
URL: https://github.com/apache/spark/pull/27539#issuecomment-585062627
 
 
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[GitHub] [spark] HyukjinKwon commented on issue #27544: [SPARK-30795][SQL] Spark SQL codegen's code() interpolator should treat escapes like Scala's StringContext.s()

2020-02-11 Thread GitBox
HyukjinKwon commented on issue #27544: [SPARK-30795][SQL] Spark SQL codegen's 
code() interpolator should treat escapes like Scala's StringContext.s()
URL: https://github.com/apache/spark/pull/27544#issuecomment-585060347
 
 
   Merged to branch-3.0 too.


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[GitHub] [spark] HyukjinKwon commented on issue #27544: [SPARK-30795][SQL] Spark SQL codegen's code() interpolator should treat escapes like Scala's StringContext.s()

2020-02-11 Thread GitBox
HyukjinKwon commented on issue #27544: [SPARK-30795][SQL] Spark SQL codegen's 
code() interpolator should treat escapes like Scala's StringContext.s()
URL: https://github.com/apache/spark/pull/27544#issuecomment-585060303
 
 
   Okay, this conflict was actually by mine 
https://github.com/apache/spark/commit/6e1b6cc5c55c4d945f59da68d248cc3ef82569d3.
 I backported it, also backported Max's 
https://github.com/apache/spark/commit/9c739358487acf3cd2d5171cebdd053c098aeb8c 
and this 
https://github.com/apache/spark/commit/b4769998efee0f5998104b689b710c11ee0dbd14


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27545: [SPARK-29542][FOLLOW-UP] Keep the description of spark.sql.files.* in tuning guide be consistent with that of SQLConf.

2020-02-11 Thread GitBox
AmplabJenkins removed a comment on issue #27545: [SPARK-29542][FOLLOW-UP] Keep 
the description of spark.sql.files.* in tuning guide be consistent with that of 
SQLConf.
URL: https://github.com/apache/spark/pull/27545#issuecomment-585059449
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] AmplabJenkins commented on issue #27545: [SPARK-29542][FOLLOW-UP] Keep the description of spark.sql.files.* in tuning guide be consistent with that of SQLConf.

2020-02-11 Thread GitBox
AmplabJenkins commented on issue #27545: [SPARK-29542][FOLLOW-UP] Keep the 
description of spark.sql.files.* in tuning guide be consistent with that of 
SQLConf.
URL: https://github.com/apache/spark/pull/27545#issuecomment-585059839
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] HyukjinKwon commented on issue #27531: Revert "[SPARK-30625][SQL] Support `escape` as third parameter of the `like` function

2020-02-11 Thread GitBox
HyukjinKwon commented on issue #27531: Revert "[SPARK-30625][SQL] Support 
`escape` as third parameter of the `like` function
URL: https://github.com/apache/spark/pull/27531#issuecomment-585059636
 
 
   Actually that conflict is by me https://github.com/apache/spark/pull/27514. 
Let me handle it.


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[GitHub] [spark] AmplabJenkins commented on issue #27545: [SPARK-29542][FOLLOW-UP] Keep the description of spark.sql.files.* in tuning guide be consistent with that of SQLConf.

2020-02-11 Thread GitBox
AmplabJenkins commented on issue #27545: [SPARK-29542][FOLLOW-UP] Keep the 
description of spark.sql.files.* in tuning guide be consistent with that of 
SQLConf.
URL: https://github.com/apache/spark/pull/27545#issuecomment-585059449
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] HyukjinKwon commented on issue #27514: Revert "[SPARK-30245][SQL] Add cache for Like and RLike when pattern is not static"

2020-02-11 Thread GitBox
HyukjinKwon commented on issue #27514: Revert "[SPARK-30245][SQL] Add cache for 
Like and RLike when pattern is not static"
URL: https://github.com/apache/spark/pull/27514#issuecomment-585059518
 
 
   and merged to branch-3.0.


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[GitHub] [spark] turboFei opened a new pull request #27545: [SPARK-29542][FOLLOW-UP] Keep the description of spark.sql.files.* in tuning guide be consistent with that of SQLConf.

2020-02-11 Thread GitBox
turboFei opened a new pull request #27545: [SPARK-29542][FOLLOW-UP] Keep the 
description of spark.sql.files.* in tuning guide be consistent with that of 
SQLConf.
URL: https://github.com/apache/spark/pull/27545
 
 
   
   
   
   ### What changes were proposed in this pull request?
   
   In this PR, I modify the description of spark.sql.files.* in 
sql-performance-tuning.md to keep consistent with that in SQLConf.
   
   ### Why are the changes needed?
   
   To keep consistent with the description in SQLConf.
   
   
   ### Does this PR introduce any user-facing change?
   No, It just 
   
   
   ### How was this patch tested?
   Existed UT.
   


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27488: [SPARK-26580][SQL][ML][FOLLOW-UP] Throw exception when use untyped UDF by default

2020-02-11 Thread GitBox
AmplabJenkins removed a comment on issue #27488: 
[SPARK-26580][SQL][ML][FOLLOW-UP] Throw exception when use untyped UDF by 
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URL: https://github.com/apache/spark/pull/27488#issuecomment-585057793
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27488: [SPARK-26580][SQL][ML][FOLLOW-UP] Throw exception when use untyped UDF by default

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AmplabJenkins commented on issue #27488: [SPARK-26580][SQL][ML][FOLLOW-UP] 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27488: [SPARK-26580][SQL][ML][FOLLOW-UP] Throw exception when use untyped UDF by default

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[GitHub] [spark] AmplabJenkins commented on issue #27488: [SPARK-26580][SQL][ML][FOLLOW-UP] Throw exception when use untyped UDF by default

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Throw exception when use untyped UDF by default
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[GitHub] [spark] SparkQA commented on issue #27488: [SPARK-26580][SQL][ML][FOLLOW-UP] Throw exception when use untyped UDF by default

2020-02-11 Thread GitBox
SparkQA commented on issue #27488: [SPARK-26580][SQL][ML][FOLLOW-UP] Throw 
exception when use untyped UDF by default
URL: https://github.com/apache/spark/pull/27488#issuecomment-585057476
 
 
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[GitHub] [spark] cloud-fan closed pull request #27508: [SPARK-30763][SQL] Fix java.lang.IndexOutOfBoundsException No group 1 for regexp_extract

2020-02-11 Thread GitBox
cloud-fan closed pull request #27508: [SPARK-30763][SQL] Fix 
java.lang.IndexOutOfBoundsException No group 1 for regexp_extract
URL: https://github.com/apache/spark/pull/27508
 
 
   


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[GitHub] [spark] cloud-fan edited a comment on issue #27508: [SPARK-30763][SQL] Fix java.lang.IndexOutOfBoundsException No group 1 for regexp_extract

2020-02-11 Thread GitBox
cloud-fan edited a comment on issue #27508: [SPARK-30763][SQL] Fix 
java.lang.IndexOutOfBoundsException No group 1 for regexp_extract
URL: https://github.com/apache/spark/pull/27508#issuecomment-585056962
 
 
   thanks, merging to master/3.0?


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[GitHub] [spark] cloud-fan edited a comment on issue #27508: [SPARK-30763][SQL] Fix java.lang.IndexOutOfBoundsException No group 1 for regexp_extract

2020-02-11 Thread GitBox
cloud-fan edited a comment on issue #27508: [SPARK-30763][SQL] Fix 
java.lang.IndexOutOfBoundsException No group 1 for regexp_extract
URL: https://github.com/apache/spark/pull/27508#issuecomment-585056962
 
 
   thanks, merging to master/3.0!


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[GitHub] [spark] cloud-fan commented on issue #27508: [SPARK-30763][SQL] Fix java.lang.IndexOutOfBoundsException No group 1 for regexp_extract

2020-02-11 Thread GitBox
cloud-fan commented on issue #27508: [SPARK-30763][SQL] Fix 
java.lang.IndexOutOfBoundsException No group 1 for regexp_extract
URL: https://github.com/apache/spark/pull/27508#issuecomment-585056962
 
 
   thanks, merging to master!


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[GitHub] [spark] Ngone51 commented on issue #27488: [SPARK-26580][SQL][ML][FOLLOW-UP] Throw exception when use untyped UDF by default

2020-02-11 Thread GitBox
Ngone51 commented on issue #27488: [SPARK-26580][SQL][ML][FOLLOW-UP] Throw 
exception when use untyped UDF by default
URL: https://github.com/apache/spark/pull/27488#issuecomment-585056470
 
 
   retest this please.


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[GitHub] [spark] SparkQA commented on issue #27481: [SPARK-30758][SQL][TESTS] Improve bracketed comments tests.

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[GitHub] [spark] cloud-fan commented on a change in pull request #27532: [SPARK-30782][SQL] Column resolution doesn't respect current catalog/namespace for v2 tables.

2020-02-11 Thread GitBox
cloud-fan commented on a change in pull request #27532: [SPARK-30782][SQL] 
Column resolution doesn't respect current catalog/namespace for v2 tables.
URL: https://github.com/apache/spark/pull/27532#discussion_r378060149
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
 ##
 @@ -932,8 +934,17 @@ class Analyzer(
 case v1Table: V1Table =>
   v1SessionCatalog.getRelation(v1Table.v1Table)
 case table =>
+  // Note that SessionCatalogAndIdentifier doesn't update the 
namespace if the resolved
+  // identifier has a single-part name because it could reference 
a temp view which does
+  // not belong to any namespaces. For v1 tables, namespace is 
resolved in
+  // `SessionCatalog.getRelation`.
+  val ns = if (ident.namespace.isEmpty) {
+catalogManager.currentNamespace
 
 Review comment:
   What if the namespace is really `[]`?


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[GitHub] [spark] rednaxelafx commented on issue #27544: [SPARK-30795][SQL] Spark SQL codegen's code() interpolator should treat escapes like Scala's StringContext.s()

2020-02-11 Thread GitBox
rednaxelafx commented on issue #27544: [SPARK-30795][SQL] Spark SQL codegen's 
code() interpolator should treat escapes like Scala's StringContext.s()
URL: https://github.com/apache/spark/pull/27544#issuecomment-585051287
 
 
   Thank you all for your reviews! I'll open a backport PR for branch-3.0.


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[GitHub] [spark] HyukjinKwon closed pull request #27544: [SPARK-30795][SQL] Spark SQL codegen's code() interpolator should treat escapes like Scala's StringContext.s()

2020-02-11 Thread GitBox
HyukjinKwon closed pull request #27544: [SPARK-30795][SQL] Spark SQL codegen's 
code() interpolator should treat escapes like Scala's StringContext.s()
URL: https://github.com/apache/spark/pull/27544
 
 
   


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[GitHub] [spark] HyukjinKwon commented on issue #27544: [SPARK-30795][SQL] Spark SQL codegen's code() interpolator should treat escapes like Scala's StringContext.s()

2020-02-11 Thread GitBox
HyukjinKwon commented on issue #27544: [SPARK-30795][SQL] Spark SQL codegen's 
code() interpolator should treat escapes like Scala's StringContext.s()
URL: https://github.com/apache/spark/pull/27544#issuecomment-585049199
 
 
   Merged to master.
   
   @rednaxelafx, mind opening a backport PR for branch-3.0? There's a conflict.


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[GitHub] [spark] iRakson commented on issue #27542: [SPARK-30790]The dataType of map() should be map

2020-02-11 Thread GitBox
iRakson commented on issue #27542: [SPARK-30790]The dataType of map() should be 
map
URL: https://github.com/apache/spark/pull/27542#issuecomment-585048687
 
 
   > how about a single config 
`spark.sql.legacy.createEmptyCollectionUsingStringType`?
   
   Seems fine to me. I will update code.


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[GitHub] [spark] cloud-fan commented on issue #27542: [SPARK-30790]The dataType of map() should be map

2020-02-11 Thread GitBox
cloud-fan commented on issue #27542: [SPARK-30790]The dataType of map() should 
be map
URL: https://github.com/apache/spark/pull/27542#issuecomment-585047698
 
 
   how about a single config 
`spark.sql.legacy.createEmptyCollectionUsingStringType`?


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[GitHub] [spark] SparkQA commented on issue #27544: [SPARK-30795][SQL] Spark SQL codegen's code() interpolator should treat escapes like Scala's StringContext.s()

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SparkQA commented on issue #27544: [SPARK-30795][SQL] Spark SQL codegen's 
code() interpolator should treat escapes like Scala's StringContext.s()
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[GitHub] [spark] SparkQA removed a comment on issue #27544: [SPARK-30795][SQL] Spark SQL codegen's code() interpolator should treat escapes like Scala's StringContext.s()

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[GitHub] [spark] cloud-fan commented on a change in pull request #27542: [SPARK-30790]The dataType of map() should be map

2020-02-11 Thread GitBox
cloud-fan commented on a change in pull request #27542: [SPARK-30790]The 
dataType of map() should be map
URL: https://github.com/apache/spark/pull/27542#discussion_r378055780
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
 ##
 @@ -167,9 +175,9 @@ case class CreateMap(children: Seq[Expression]) extends 
Expression {
   override lazy val dataType: MapType = {
 MapType(
   keyType = 
TypeCoercion.findCommonTypeDifferentOnlyInNullFlags(keys.map(_.dataType))
-.getOrElse(StringType),
+.getOrElse(defaultElementType),
 
 Review comment:
   Can we remove that asserting?


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[GitHub] [spark] cloud-fan commented on a change in pull request #27478: [SPARK-25829][SQL] Add config `spark.sql.deduplicateMapKey.lastWinsPolicy.enabled` and change the default behavior

2020-02-11 Thread GitBox
cloud-fan commented on a change in pull request #27478: [SPARK-25829][SQL] Add 
config `spark.sql.deduplicateMapKey.lastWinsPolicy.enabled` and change the 
default behavior
URL: https://github.com/apache/spark/pull/27478#discussion_r378054659
 
 

 ##
 File path: docs/sql-migration-guide.md
 ##
 @@ -49,7 +49,7 @@ license: |
 
   - In Spark version 2.4 and earlier, float/double -0.0 is semantically equal 
to 0.0, but -0.0 and 0.0 are considered as different values when used in 
aggregate grouping keys, window partition keys and join keys. Since Spark 3.0, 
this bug is fixed. For example, `Seq(-0.0, 0.0).toDF("d").groupBy("d").count()` 
returns `[(0.0, 2)]` in Spark 3.0, and `[(0.0, 1), (-0.0, 1)]` in Spark 2.4 and 
earlier.
 
-  - In Spark version 2.4 and earlier, users can create a map with duplicated 
keys via built-in functions like `CreateMap`, `StringToMap`, etc. The behavior 
of map with duplicated keys is undefined, e.g. map look up respects the 
duplicated key appears first, `Dataset.collect` only keeps the duplicated key 
appears last, `MapKeys` returns duplicated keys, etc. Since Spark 3.0, these 
built-in functions will remove duplicated map keys with last wins policy. Users 
may still read map values with duplicated keys from data sources which do not 
enforce it (e.g. Parquet), the behavior will be undefined.
+  - In Spark version 2.4 and earlier, users can create a map with duplicated 
keys via built-in functions like `CreateMap`, `StringToMap`, etc. The behavior 
of map with duplicated keys is undefined, e.g. map look up respects the 
duplicated key appears first, `Dataset.collect` only keeps the duplicated key 
appears last, `MapKeys` returns duplicated keys, etc. Since Spark 3.0, new 
config `spark.sql.deduplicateMapKey.lastWinsPolicy.enabled` was added, with the 
default value `false`, Spark will throw RuntimeException while duplicated keys 
are found. If set to `true`, these built-in functions will remove duplicated 
map keys with last wins policy. Users may still read map values with duplicated 
keys from data sources which do not enforce it (e.g. Parquet), the behavior 
will be undefined.
 
 Review comment:
   What I have in mind is:
   - if it's a bug fix (the previous result is definitely wrong), then no 
config is needed. If the impact is big, we can add a legacy config which is 
false by default.
   - if it makes the behavior better, we should either add a config and use the 
old behavior by default, or fail by default and ask users to set config 
explicitly and pick the desired behavior.
   
   I'm trying to think more cases, will send an email to the dev list soon.


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[GitHub] [spark] dongjoon-hyun commented on issue #27517: [WIP][SPARK-29721][SQL] Prune unnecessary nested fields from Generate without Project

2020-02-11 Thread GitBox
dongjoon-hyun commented on issue #27517: [WIP][SPARK-29721][SQL] Prune 
unnecessary nested fields from Generate without Project
URL: https://github.com/apache/spark/pull/27517#issuecomment-585045132
 
 
   Got it. Thank you for updating.


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[GitHub] [spark] yhuai commented on issue #27536: [SPARK-30784] Use ORC nohive

2020-02-11 Thread GitBox
yhuai commented on issue #27536: [SPARK-30784] Use ORC nohive 
URL: https://github.com/apache/spark/pull/27536#issuecomment-585043898
 
 
   taking 
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/118207/testReport/org.apache.spark.sql.hive/CompressionCodecSuite/both_table_level_and_session_level_compression_are_set/
 as an example, I am not getting why the table was turned to a hive orc table.


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[GitHub] [spark] SparkQA commented on issue #27536: [SPARK-30784] Use ORC nohive

2020-02-11 Thread GitBox
SparkQA commented on issue #27536: [SPARK-30784] Use ORC nohive 
URL: https://github.com/apache/spark/pull/27536#issuecomment-585043463
 
 
   **[Test build #118279 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/118279/testReport)**
 for PR 27536 at commit 
[`a5039ab`](https://github.com/apache/spark/commit/a5039ab4541bc337d263665093aee77c2fd6c035).


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[GitHub] [spark] dongjoon-hyun edited a comment on issue #24902: [SPARK-28093][SQL] Fix TRIM/LTRIM/RTRIM function parameter order issue

2020-02-11 Thread GitBox
dongjoon-hyun edited a comment on issue #24902: [SPARK-28093][SQL] Fix 
TRIM/LTRIM/RTRIM function parameter order issue
URL: https://github.com/apache/spark/pull/24902#issuecomment-585042944
 
 
   Yes. I'm not against for your decision. What I'm asking is that let's do 
this in a public manner if we make this as a policy.
   
   In the recent PRs (like raising runtime exceptions by default), we already 
notice that the following is your criteria. Then, let's make that public in the 
dev mailing list.
   > how can we silently change
   
   If we cannot change something due to backward compatibility even in 
**Major** version, that's a big decision in the community because it's stricter 
than `Semantic versioning`. It means that `Migration Guide` is not enough.


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[GitHub] [spark] dongjoon-hyun edited a comment on issue #24902: [SPARK-28093][SQL] Fix TRIM/LTRIM/RTRIM function parameter order issue

2020-02-11 Thread GitBox
dongjoon-hyun edited a comment on issue #24902: [SPARK-28093][SQL] Fix 
TRIM/LTRIM/RTRIM function parameter order issue
URL: https://github.com/apache/spark/pull/24902#issuecomment-585042944
 
 
   Yes. I'm not against for your decision. What I'm asking is that let's do 
this in a public manner if we make this as a policy.
   
   In the recent PRs (like raising runtime exceptions by default), we already 
notice that the following is your criteria. Then, let's make that public in the 
dev mailing list.
   > how can we silently change
   
   If we cannot change something due to backward compatibility even in 
**Major** version, that's a big decision in the community because it's stricter 
than `Semantic versioning`.


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[GitHub] [spark] dongjoon-hyun edited a comment on issue #24902: [SPARK-28093][SQL] Fix TRIM/LTRIM/RTRIM function parameter order issue

2020-02-11 Thread GitBox
dongjoon-hyun edited a comment on issue #24902: [SPARK-28093][SQL] Fix 
TRIM/LTRIM/RTRIM function parameter order issue
URL: https://github.com/apache/spark/pull/24902#issuecomment-585042944
 
 
   Yes. I'm not against for your decision. What I'm asking is that let's do 
this in a public manner if we make this as a policy.
   
   In the recent PRs (like raising runtime exceptions by default), we already 
notice that the following is your criteria. Then, let's make that public in the 
dev mailing list.
   > how can we silently change
   
   If we cannot change something for backward compatibility even in **Major** 
version, that's a big decision in the community because it's stricter than 
`Semantic versioning`.


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[GitHub] [spark] dongjoon-hyun edited a comment on issue #24902: [SPARK-28093][SQL] Fix TRIM/LTRIM/RTRIM function parameter order issue

2020-02-11 Thread GitBox
dongjoon-hyun edited a comment on issue #24902: [SPARK-28093][SQL] Fix 
TRIM/LTRIM/RTRIM function parameter order issue
URL: https://github.com/apache/spark/pull/24902#issuecomment-585042944
 
 
   Yes. I'm not against for your decision. What I'm asking is that let's do 
this in a public manner if we make this as a policy.
   
   In the recent PRs (like raising runtime exceptions by default), we already 
notice that the following is your criteria. Then, let's make that public.
   > how can we silently change
   
   If we cannot change something for backward compatibility even in **Major** 
version, that's a big decision in the community because it's stricter than 
`Semantic versioning`.


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[GitHub] [spark] dongjoon-hyun commented on issue #24902: [SPARK-28093][SQL] Fix TRIM/LTRIM/RTRIM function parameter order issue

2020-02-11 Thread GitBox
dongjoon-hyun commented on issue #24902: [SPARK-28093][SQL] Fix 
TRIM/LTRIM/RTRIM function parameter order issue
URL: https://github.com/apache/spark/pull/24902#issuecomment-585042944
 
 
   Yes. I'm not against for your decision. What I'm asking is that let's do 
this in a public manner if we make this as a policy.
   
   In the recent PRs (like raising runtime exceptions by default), we already 
notice that the following is your criteria. Then, let's make that public.
   > how can we silently change the parameter
   
   If we cannot change something for backward compatibility even in **Major** 
version, that's a big decision in the community because it's stricter than 
`Semantic versioning`.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27536: [SPARK-30784] Use ORC nohive

2020-02-11 Thread GitBox
AmplabJenkins removed a comment on issue #27536: [SPARK-30784] Use ORC nohive 
URL: https://github.com/apache/spark/pull/27536#issuecomment-585041918
 
 
   Merged build finished. Test PASSed.


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[GitHub] [spark] yhuai commented on issue #27536: [SPARK-30784] Use ORC nohive

2020-02-11 Thread GitBox
yhuai commented on issue #27536: [SPARK-30784] Use ORC nohive 
URL: https://github.com/apache/spark/pull/27536#issuecomment-585042303
 
 
   Also, the error cause was
   ```
   Caused by: sbt.ForkMain$ForkError: java.lang.NoSuchMethodError: 
org.apache.orc.TypeDescription.createRowBatch(I)Lorg/apache/hadoop/hive/ql/exec/vector/VectorizedRowBatch;
at 
org.apache.hadoop.hive.ql.io.orc.WriterImpl.(WriterImpl.java:96)
at 
org.apache.hadoop.hive.ql.io.orc.OrcFile.createWriter(OrcFile.java:320)
at 
org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat$OrcRecordWriter.write(OrcOutputFormat.java:103)
at 
org.apache.spark.sql.hive.execution.HiveOutputWriter.write(HiveFileFormat.scala:156)
at 
org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.write(FileFormatDataWriter.scala:140)
at 
org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$executeTask$1(FileFormatWriter.scala:273)
at 
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)
at 
org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:281)
... 9 more
   ```
   
   Seems org.apache.hadoop.hive.ql.io.orc.WriterImpl was hive's orc.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27536: [SPARK-30784] Use ORC nohive

2020-02-11 Thread GitBox
AmplabJenkins removed a comment on issue #27536: [SPARK-30784] Use ORC nohive 
URL: https://github.com/apache/spark/pull/27536#issuecomment-585041924
 
 
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[GitHub] [spark] iRakson commented on a change in pull request #27542: [SPARK-30790]The dataType of map() should be map

2020-02-11 Thread GitBox
iRakson commented on a change in pull request #27542: [SPARK-30790]The dataType 
of map() should be map
URL: https://github.com/apache/spark/pull/27542#discussion_r378051609
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
 ##
 @@ -167,9 +175,9 @@ case class CreateMap(children: Seq[Expression]) extends 
Expression {
   override lazy val dataType: MapType = {
 MapType(
   keyType = 
TypeCoercion.findCommonTypeDifferentOnlyInNullFlags(keys.map(_.dataType))
-.getOrElse(StringType),
+.getOrElse(defaultElementType),
 
 Review comment:
   In `ArrayBasedMapBuilder`, we are explicitly asserting that `keyType` can't 
be `NullType`.  So assigning `NullType` here is causing test failures. 
   @cloud-fan  


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[GitHub] [spark] AmplabJenkins commented on issue #27536: [SPARK-30784] Use ORC nohive

2020-02-11 Thread GitBox
AmplabJenkins commented on issue #27536: [SPARK-30784] Use ORC nohive 
URL: https://github.com/apache/spark/pull/27536#issuecomment-585041918
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27536: [SPARK-30784] Use ORC nohive

2020-02-11 Thread GitBox
AmplabJenkins commented on issue #27536: [SPARK-30784] Use ORC nohive 
URL: https://github.com/apache/spark/pull/27536#issuecomment-585041924
 
 
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[GitHub] [spark] yhuai commented on issue #27536: [SPARK-30784] Use ORC nohive

2020-02-11 Thread GitBox
yhuai commented on issue #27536: [SPARK-30784] Use ORC nohive 
URL: https://github.com/apache/spark/pull/27536#issuecomment-585041496
 
 
   hmm. We need to keep hive-storage-api. But I will need to check why we hit 
the runtime exception. Somehow we used hive-storage-api's VectorizedRowBatch 
instead of orc's VectorizedRowBatch for orc code path.


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[GitHub] [spark] iRakson removed a comment on issue #27542: [SPARK-30790]The dataType of map() should be map

2020-02-11 Thread GitBox
iRakson removed a comment on issue #27542: [SPARK-30790]The dataType of map() 
should be map
URL: https://github.com/apache/spark/pull/27542#issuecomment-585038840
 
 
   Test cases are failing because key of a map can't be of NullType. @cloud-fan 


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[GitHub] [spark] gengliangwang edited a comment on issue #27478: [SPARK-25829][SQL] Add config `spark.sql.deduplicateMapKey.lastWinsPolicy.enabled` and change the default behavior

2020-02-11 Thread GitBox
gengliangwang edited a comment on issue #27478: [SPARK-25829][SQL] Add config 
`spark.sql.deduplicateMapKey.lastWinsPolicy.enabled` and change the default 
behavior
URL: https://github.com/apache/spark/pull/27478#issuecomment-585039004
 
 
   I google searched "deduplicate map key" and there is no matching result.
   Since there will be runtime exception on duplicated keys, how about renaming 
the config to `spark.sql.allowDuplicatedMapKeys.enabled`?


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[GitHub] [spark] HeartSaVioR commented on a change in pull request #25670: [SPARK-28869][CORE] Roll over event log files

2020-02-11 Thread GitBox
HeartSaVioR commented on a change in pull request #25670: [SPARK-28869][CORE] 
Roll over event log files
URL: https://github.com/apache/spark/pull/25670#discussion_r378049590
 
 

 ##
 File path: core/src/main/scala/org/apache/spark/internal/config/package.scala
 ##
 @@ -179,6 +179,21 @@ package object config {
   private[spark] val EVENT_LOG_CALLSITE_LONG_FORM =
 
ConfigBuilder("spark.eventLog.longForm.enabled").booleanConf.createWithDefault(false)
 
+  private[spark] val EVENT_LOG_ENABLE_ROLLING =
+ConfigBuilder("spark.eventLog.rolling.enabled")
+  .doc("Whether rolling over event log files is enabled.  If set to true, 
it cuts down " +
+"each event log file to the configured size.")
+  .booleanConf
+  .createWithDefault(false)
+
+  private[spark] val EVENT_LOG_ROLLING_MAX_FILE_SIZE =
+ConfigBuilder("spark.eventLog.rolling.maxFileSize")
+  .doc("The max size of event log file to be rolled over.")
 
 Review comment:
   @HyukjinKwon 
   Thanks for initiating the thread in dev mailing list. I'm following up the 
thread and will be back once we get some sort of consensus.


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[GitHub] [spark] gengliangwang edited a comment on issue #27478: [SPARK-25829][SQL] Add config `spark.sql.deduplicateMapKey.lastWinsPolicy.enabled` and change the default behavior

2020-02-11 Thread GitBox
gengliangwang edited a comment on issue #27478: [SPARK-25829][SQL] Add config 
`spark.sql.deduplicateMapKey.lastWinsPolicy.enabled` and change the default 
behavior
URL: https://github.com/apache/spark/pull/27478#issuecomment-585039004
 
 
   I searched "deduplicate map key" and there is no matching result.
   Since there will be runtime exception on duplicated keys, how about renaming 
the config to `spark.sql.allowDuplicatedMapKeys.enabled`?


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