[GitHub] [spark] SparkQA commented on pull request #28208: [SPARK-31440][SQL] Improve SQL Rest API

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[GitHub] [spark] MaxGekk commented on pull request #28431: [SPARK-31623][SQL][TESTS] Benchmark rebasing of INT96 and TIMESTAMP_MILLIS timestamps in read/write

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[GitHub] [spark] dilipbiswal commented on a change in pull request #28433: [SPARK-31030] [DOCS] [FOLLOWUP] Replace HTML Table by Markdown Table

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dilipbiswal commented on a change in pull request #28433:
URL: https://github.com/apache/spark/pull/28433#discussion_r418887456



##
File path: docs/sql-ref-datatypes.md
##
@@ -824,4 +312,4 @@ SELECT COUNT(*), c2 FROM test GROUP BY c2;
 |2|-Infinity|
 |3| Infinity|
 +-+-+
-{% endhighlight %}
\ No newline at end of file
+{% endhighlight %}

Review comment:
   @maropu Fixed.





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[GitHub] [spark] dilipbiswal commented on pull request #28433: [SPARK-31030] [DOCS] [FOLLOWUP] Replace HTML Table by Markdown Table

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dilipbiswal commented on pull request #28433:
URL: https://github.com/apache/spark/pull/28433#issuecomment-622667364


   @maropu sorry, i missed sql-ref-null-semantics.md. I have added it now.



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[GitHub] [spark] dilipbiswal commented on a change in pull request #28433: [SPARK-31030] [DOCS] [FOLLOWUP] Replace HTML Table by Markdown Table

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dilipbiswal commented on a change in pull request #28433:
URL: https://github.com/apache/spark/pull/28433#discussion_r418887140



##
File path: docs/sql-ref-datetime-pattern.md
##
@@ -58,8 +58,8 @@ Spark uses pattern letters in the following table for date 
and timestamp parsing
 |**Z**|zone-offset|offset-Z|+; -0800; -08:00;|
 |**'**|escape for text|delimiter||
 |**''**|single quote|literal|'|
-|**[**|optional section start|||
-|**]**|optional section end|||
+|**[**|optional section start| | |

Review comment:
   @maropu @gatorsmile OK.





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[GitHub] [spark] dilipbiswal commented on a change in pull request #28425: [SPARK-31480][SQL] Improve the EXPLAIN FORMATTED's output for DSV2's Scan Node

2020-05-01 Thread GitBox


dilipbiswal commented on a change in pull request #28425:
URL: https://github.com/apache/spark/pull/28425#discussion_r418880068



##
File path: 
external/avro/src/main/scala/org/apache/spark/sql/v2/avro/AvroScan.scala
##
@@ -65,4 +65,8 @@ case class AvroScan(
   }
 
   override def hashCode(): Int = super.hashCode()
+
+  override def getMetaData(): Map[String, String] = {
+super.metaData ++ Map("Format" -> "avro")

Review comment:
   @maropu OK.. added a test.





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[GitHub] [spark] gatorsmile commented on a change in pull request #28433: [SPARK-31030] [DOCS] [FOLLOWUP] Replace HTML Table by Markdown Table

2020-05-01 Thread GitBox


gatorsmile commented on a change in pull request #28433:
URL: https://github.com/apache/spark/pull/28433#discussion_r418870517



##
File path: docs/sql-ref-datetime-pattern.md
##
@@ -58,8 +58,8 @@ Spark uses pattern letters in the following table for date 
and timestamp parsing
 |**Z**|zone-offset|offset-Z|+; -0800; -08:00;|
 |**'**|escape for text|delimiter||
 |**''**|single quote|literal|'|
-|**[**|optional section start|||
-|**]**|optional section end|||
+|**[**|optional section start| | |

Review comment:
   it would be nicer if we have an extra space between | and |
   
   Yes. Line 59 is needed too





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[GitHub] [spark] cxzl25 commented on a change in pull request #28383: [SPARK-31590][SQL] The filter used by Metadata-only queries should filter out all the unevaluable expr

2020-05-01 Thread GitBox


cxzl25 commented on a change in pull request #28383:
URL: https://github.com/apache/spark/pull/28383#discussion_r418869108



##
File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/OptimizeMetadataOnlyQuerySuite.scala
##
@@ -103,6 +103,20 @@ class OptimizeMetadataOnlyQuerySuite extends QueryTest 
with SharedSparkSession {
 "select partcol2, min(partcol1) from srcpart where partcol1 = 0 group by 
partcol2",
 "select max(c1) from (select partcol1 + 1 as c1 from srcpart where 
partcol1 = 0) t")
 
+  testMetadataOnly(
+"SPARK-31590 The filter used by Metadata-only queries should not have 
Unevaluable",
+"""
+  |SELECT partcol1, MAX(partcol2) AS partcol2
+  |FROM srcpart
+  |WHERE partcol1 = (
+  |  SELECT MAX(partcol1)
+  |  FROM srcpart
+  |)
+  |AND partcol2= 'event'
+  |GROUP BY partcol1
+  |""".stripMargin
+  )

Review comment:
   Sorry, I typed an extra letter t, it should be the existing partition 
value to filter.





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[GitHub] [spark] AmplabJenkins commented on pull request #28383: [SPARK-31590][SQL] The filter used by Metadata-only queries should filter out all the unevaluable expr

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[GitHub] [spark] SparkQA commented on pull request #28331: [WIP][SPARK-20629][CORE] Copy shuffle data when nodes are being shutdown

2020-05-01 Thread GitBox


SparkQA commented on pull request #28331:
URL: https://github.com/apache/spark/pull/28331#issuecomment-622661695


   **[Test build #122183 has 
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 for PR 28331 at commit 
[`be2a5e7`](https://github.com/apache/spark/commit/be2a5e736e051ca0497906b2a2e904c7b4033596).
* This patch passes all tests.
* This patch **does not merge cleanly**.
* This patch adds no public classes.



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[GitHub] [spark] SparkQA commented on pull request #28383: [SPARK-31590][SQL] The filter used by Metadata-only queries should filter out all the unevaluable expr

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SparkQA commented on pull request #28383:
URL: https://github.com/apache/spark/pull/28383#issuecomment-622661598


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #28383: [SPARK-31590][SQL] The filter used by Metadata-only queries should not have Unevaluable

2020-05-01 Thread GitBox


HyukjinKwon commented on a change in pull request #28383:
URL: https://github.com/apache/spark/pull/28383#discussion_r418857861



##
File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/OptimizeMetadataOnlyQuery.scala
##
@@ -117,7 +117,7 @@ case class OptimizeMetadataOnlyQuery(catalog: 
SessionCatalog) extends Rule[Logic
 case a: AttributeReference =>
   a.withName(relation.output.find(_.semanticEquals(a)).get.name)
   }
-}
+}.filterNot(SubqueryExpression.hasSubquery)

Review comment:
   Yeah let's keep the PR title.and description matched ..





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[GitHub] [spark] HyukjinKwon commented on pull request #28383: [SPARK-31590][SQL] The filter used by Metadata-only queries should not have Unevaluable

2020-05-01 Thread GitBox


HyukjinKwon commented on pull request #28383:
URL: https://github.com/apache/spark/pull/28383#issuecomment-622660745


   @cxzl25 can you revert the test back to the original one and focus on the 
cleanup? The case before was a valid, and failed in the master. The fix itself 
seems right too.



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[GitHub] [spark] SparkQA commented on pull request #28435: [SPARK-31625][YARN] Unregister application from YARN RM outside the shutdown hook if it succeeds

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[GitHub] [spark] imback82 opened a new pull request #28435: [SPARK-31625][YARN] Unregister application from YARN RM outside the shutdown hook if it succeeds

2020-05-01 Thread GitBox


imback82 opened a new pull request #28435:
URL: https://github.com/apache/spark/pull/28435


   
   
   ### What changes were proposed in this pull request?
   
   Currently, an application is unregistered from YARN resource manager as a 
shutdown hook. In the scenario where the shutdown hook does not run (e.g., 
timeouts, etc.), the application is not unregistered, resulting in YARN 
resubmitting the application even if it succeeded.
   
   For example, you could see the following on the driver log:
   ```
   20/04/30 06:20:29 INFO SparkContext: Successfully stopped SparkContext
   20/04/30 06:20:29 INFO ApplicationMaster: Final app status: SUCCEEDED, 
exitCode: 0
   20/04/30 06:20:59 WARN ShutdownHookManager: ShutdownHook '$anon$2' timeout, 
java.util.concurrent.TimeoutException
   java.util.concurrent.TimeoutException
at java.util.concurrent.FutureTask.get(FutureTask.java:205)
at 
org.apache.hadoop.util.ShutdownHookManager.executeShutdown(ShutdownHookManager.java:124)
at 
org.apache.hadoop.util.ShutdownHookManager$1.run(ShutdownHookManager.java:95)
   ```
   You can see that the final app status is `SUCCEEDED`. However, on the YARN 
RM side:
   ```
   020-04-30 06:21:25,083 INFO RMContainerImpl: 
container_1588227360159_0001_01_01 Container Transitioned from RUNNING to 
COMPLETED
   2020-04-30 06:21:25,085 INFO RMAppAttemptImpl: Updating application attempt 
appattempt_1588227360159_0001_01 with final state: FAILED, and exit status: 0
   2020-04-30 06:21:25,085 INFO RMAppAttemptImpl: 
appattempt_1588227360159_0001_01 State change from RUNNING to FINAL_SAVING 
on event = CONTAINER_FINISHED
   ```
   
   You see that the final state of the application becomes `FAILED` since the 
container is finished before the application is unregistered.
   
   This could be misleading and this PR proposes to unregister the application 
right away if it succeeds.
   
   ### Why are the changes needed?
   
   To fix a bug where application is not unregistered even if it succeeds.
   
   ### Does this PR introduce _any_ user-facing change?
   
   Yes. If the application succeeds, it will be unregistered even if the 
shutdown hook doesn't get run.
   
   The following is YARN RM log when there was a timeout on the shutdown hook 
after the fix:
   ```
   2020-05-02 02:13:02,222 INFO RMContainerImpl: 
container_1588385278256_0001_01_01 Container Transitioned from RUNNING to 
COMPLETED
   2020-05-02 02:13:02,222 INFO ApplicationMasterService: Unregistering app 
attempt : appattempt_1588385278256_0001_01
   2020-05-02 02:13:02,224 INFO RMAppAttemptImpl: 
appattempt_1588385278256_0001_01 State change from FINISHING to FINISHED on 
event = CONTAINER_FINISHED
   2020-05-02 02:13:02,226 INFO RMAppImpl: application_1588385278256_0001 State 
change from FINISHING to FINISHED on event = ATTEMPT_FINISHED
   ```
   
   ### How was this patch tested?
   
   Since this behavior is checking against the scenario where shutdown hook is 
involved, no test has been added, but manually validated.



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[GitHub] [spark] SparkQA commented on pull request #28425: [SPARK-31480][SQL] Improve the EXPLAIN FORMATTED's output for DSV2's Scan Node

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[GitHub] [spark] maropu commented on pull request #28433: [SPARK-31030] [DOCS] [FOLLOWUP] Replace HTML Table by Markdown Table

2020-05-01 Thread GitBox


maropu commented on pull request #28433:
URL: https://github.com/apache/spark/pull/28433#issuecomment-622655461


   > Replace HTML table by MD table
   
   All the fixes in `docs/sql-ref-*` addressed in this PR? I found the tag in 
`sql-ref-null-semantics.md`, too;
   ```
   $ls sql-ref* | xargs grep "
   sql-ref-ansi-compliance.md:
   sql-ref-datatypes.md:
   sql-ref-datatypes.md:
   sql-ref-datatypes.md:
   sql-ref-datatypes.md:
   sql-ref-datatypes.md:
   sql-ref-datetime-pattern.md:
   sql-ref-null-semantics.md:
   sql-ref-null-semantics.md:
   sql-ref-null-semantics.md:
   sql-ref-null-semantics.md:
   sql-ref-syntax-qry-select-tvf.md:
   ```



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[GitHub] [spark] maropu commented on a change in pull request #28433: [SPARK-31030] [DOCS] [FOLLOWUP] Replace HTML Table by Markdown Table

2020-05-01 Thread GitBox


maropu commented on a change in pull request #28433:
URL: https://github.com/apache/spark/pull/28433#discussion_r418834997



##
File path: docs/sql-ref-datetime-pattern.md
##
@@ -58,8 +58,8 @@ Spark uses pattern letters in the following table for date 
and timestamp parsing
 |**Z**|zone-offset|offset-Z|+; -0800; -08:00;|
 |**'**|escape for text|delimiter||
 |**''**|single quote|literal|'|
-|**[**|optional section start|||
-|**]**|optional section end|||
+|**[**|optional section start| | |

Review comment:
   Need the space between `|`s? But, no space between `|`s in line 59?





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[GitHub] [spark] maropu commented on a change in pull request #28433: [SPARK-31030] [DOCS] [FOLLOWUP] Replace HTML Table by Markdown Table

2020-05-01 Thread GitBox


maropu commented on a change in pull request #28433:
URL: https://github.com/apache/spark/pull/28433#discussion_r418834443



##
File path: docs/sql-ref-datatypes.md
##
@@ -824,4 +312,4 @@ SELECT COUNT(*), c2 FROM test GROUP BY c2;
 |2|-Infinity|
 |3| Infinity|
 +-+-+
-{% endhighlight %}
\ No newline at end of file
+{% endhighlight %}

Review comment:
   What's a difference here?





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[GitHub] [spark] maropu commented on a change in pull request #28425: [SPARK-31480][SQL] Improve the EXPLAIN FORMATTED's output for DSV2's Scan Node

2020-05-01 Thread GitBox


maropu commented on a change in pull request #28425:
URL: https://github.com/apache/spark/pull/28425#discussion_r418829916



##
File path: 
external/avro/src/main/scala/org/apache/spark/sql/v2/avro/AvroScan.scala
##
@@ -65,4 +65,8 @@ case class AvroScan(
   }
 
   override def hashCode(): Int = super.hashCode()
+
+  override def getMetaData(): Map[String, String] = {
+super.metaData ++ Map("Format" -> "avro")

Review comment:
   Yea if we don't have any other suitable place for adding the test. At 
least, I think its better to add tests for it somewhere.





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[GitHub] [spark] maropu commented on a change in pull request #28425: [SPARK-31480][SQL] Improve the EXPLAIN FORMATTED's output for DSV2's Scan Node

2020-05-01 Thread GitBox


maropu commented on a change in pull request #28425:
URL: https://github.com/apache/spark/pull/28425#discussion_r418829024



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/connector/SupportsMetadata.scala
##
@@ -0,0 +1,26 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.internal.connector
+
+/**
+ * A mix in interface for {@link FileScan}. This can be used to report metadata
+ * for a file based scan operator. This is currently used for supporting 
formatted
+ * explain.
+ */

Review comment:
   Not sure, but if we expose this, developers could improve explain output 
for their custom scan? cc: @cloud-fan 





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[GitHub] [spark] SparkQA commented on pull request #28433: [SPARK-31030] [DOCS] [FOLLOWUP] Replace HTML Table by Markdown Table

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SparkQA commented on pull request #28433:
URL: https://github.com/apache/spark/pull/28433#issuecomment-622651055


   **[Test build #122186 has 
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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] dilipbiswal commented on a change in pull request #28425: [SPARK-31480][SQL] Improve the EXPLAIN FORMATTED's output for DSV2's Scan Node

2020-05-01 Thread GitBox


dilipbiswal commented on a change in pull request #28425:
URL: https://github.com/apache/spark/pull/28425#discussion_r418820695



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/connector/SupportsMetadata.scala
##
@@ -0,0 +1,26 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.internal.connector
+
+/**
+ * A mix in interface for {@link FileScan}. This can be used to report metadata
+ * for a file based scan operator. This is currently used for supporting 
formatted
+ * explain.
+ */

Review comment:
   @maropu On second thought, this is not an external interface, right ? So 
don't think we need any annotations here.





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* This patch adds no public classes.



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[GitHub] [spark] dilipbiswal commented on a change in pull request #28433: [SPARK-31030] [DOCS] [FOLLOWUP] Replace HTML Table by Markdown Table

2020-05-01 Thread GitBox


dilipbiswal commented on a change in pull request #28433:
URL: https://github.com/apache/spark/pull/28433#discussion_r418816535



##
File path: docs/sql-ref-ansi-compliance.md
##
@@ -27,35 +27,10 @@ The casting behaviours are defined as store assignment 
rules in the standard.
 
 When `spark.sql.storeAssignmentPolicy` is set to `ANSI`, Spark SQL complies 
with the ANSI store assignment rules. This is a separate configuration because 
its default value is `ANSI`, while the configuration `spark.sql.ansi.enabled` 
is disabled by default.
 
-
-Property NameDefaultMeaningSince 
Version
-
-  spark.sql.ansi.enabled
-  false
-  
-(Experimental) When true, Spark tries to conform to the ANSI SQL 
specification:
-1. Spark will throw a runtime exception if an overflow occurs in any 
operation on integral/decimal field.
-2. Spark will forbid using the reserved keywords of ANSI SQL as 
identifiers in the SQL parser.
-  
-  3.0.0
-
-
-  spark.sql.storeAssignmentPolicy
-  ANSI
-  
-(Experimental) When inserting a value into a column with different data 
type, Spark will perform type coercion.
-Currently, we support 3 policies for the type coercion rules: ANSI, legacy 
and strict. With ANSI policy,
-Spark performs the type coercion as per ANSI SQL. In practice, the 
behavior is mostly the same as PostgreSQL.
-It disallows certain unreasonable type conversions such as converting 
string to int or double to boolean.
-With legacy policy, Spark allows the type coercion as long as it is a 
valid Cast, which is very loose.
-e.g. converting string to int or double to boolean is allowed.
-It is also the only behavior in Spark 2.x and it is compatible with Hive.
-With strict policy, Spark doesn't allow any possible precision loss or 
data truncation in type coercion,
-e.g. converting double to int or decimal to double is not allowed.
-  
-  3.0.0
-
-
+|Property Name|Default|Meaning|Since Version|
+|--- |--- |--- |--- |

Review comment:
   @huaxingao Done. 





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[GitHub] [spark] dilipbiswal commented on pull request #28433: [SPARK-31030] [DOCS] [FOLLOWUP] Replace HTML Table by Markdown Table

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dilipbiswal commented on pull request #28433:
URL: https://github.com/apache/spark/pull/28433#issuecomment-622649549


   cc @maropu 



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[GitHub] [spark] brkyvz opened a new pull request #28434: [SPARK-31624] Fix SHOW TBLPROPERTIES for V2 tables that leverage the session catalog

2020-05-01 Thread GitBox


brkyvz opened a new pull request #28434:
URL: https://github.com/apache/spark/pull/28434


   ## What changes were proposed in this pull request?
   
   SHOW TBLPROPERTIES does not get the correct table properties for tables 
using the Session Catalog. This PR fixes that, by explicitly falling back to 
the V1 implementation if the table is in fact a V1 table.
   
   ### Why are the changes needed?
   
   Shows the incorrect table properties, i.e. only what exists in the Hive 
MetaStore for V2 tables that may have table properties outside of the MetaStore.
   
   ### Does this PR introduce _any_ user-facing change?
   
   Fixes a bug
   
   ### How was this patch tested?
   
   Regression test



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[GitHub] [spark] brkyvz commented on pull request #28434: [SPARK-31624] Fix SHOW TBLPROPERTIES for V2 tables that leverage the session catalog

2020-05-01 Thread GitBox


brkyvz commented on pull request #28434:
URL: https://github.com/apache/spark/pull/28434#issuecomment-622649369


   It would be great to merge this into Spark 3.0. cc @cloud-fan 



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