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[GitHub] [spark] SparkQA commented on pull request #28860: [SPARK-32002][SQL]Support ExtractValue from nested ArrayStruct

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SparkQA commented on pull request #28860:
URL: https://github.com/apache/spark/pull/28860#issuecomment-646952841


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[GitHub] [spark] AngersZhuuuu commented on pull request #28860: [SPARK-32002][SQL]Support ExtractValue from nested ArrayStruct

2020-06-19 Thread GitBox


AngersZh commented on pull request #28860:
URL: https://github.com/apache/spark/pull/28860#issuecomment-646952561


   Seems this way will change the schema, maybe we should add a new class to 
get multidimensional array form GetArrayStruct



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[GitHub] [spark] SparkQA commented on pull request #28875: [SPARK-32030][SQL] Support unlimited MATCHED and NOT MATCHED clauses in MERGE INTO

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SparkQA commented on pull request #28875:
URL: https://github.com/apache/spark/pull/28875#issuecomment-646951464


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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
 * `case class DeleteAction(override val condition: Option[Expression]) 
extends MergeAction(condition)`



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[GitHub] [spark] maropu commented on a change in pull request #28863: [SPARK-31336][SQL] Support Oracle Kerberos login in JDBC connector

2020-06-19 Thread GitBox


maropu commented on a change in pull request #28863:
URL: https://github.com/apache/spark/pull/28863#discussion_r443106703



##
File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/jdbc/connection/OracleConnectionProviderSuite.scala
##
@@ -0,0 +1,28 @@
+/*
+ * 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.execution.datasources.jdbc.connection
+
+class OracleConnectionProviderSuite extends ConnectionProviderSuiteBase {
+  test("setAuthenticationConfigIfNeeded must set authentication if not set") {

Review comment:
   All the `XXXConnectionProviderSuite` has the almost same test, so could 
you move it into `ConnectionProviderSuiteBase`?





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[GitHub] [spark] maropu commented on a change in pull request #28863: [SPARK-31336][SQL] Support Oracle Kerberos login in JDBC connector

2020-06-19 Thread GitBox


maropu commented on a change in pull request #28863:
URL: https://github.com/apache/spark/pull/28863#discussion_r443106215



##
File path: 
external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
##
@@ -32,35 +32,29 @@ import org.apache.spark.tags.DockerTest
 
 /**
  * This patch was tested using the Oracle docker. Created this integration 
suite for the same.
- * The ojdbc6-11.2.0.2.0.jar was to be downloaded from the maven repository. 
Since there was
- * no jdbc jar available in the maven repository, the jar was downloaded from 
oracle site
- * manually and installed in the local; thus tested. So, for SparkQA test case 
run, the
- * ojdbc jar might be manually placed in the local maven 
repository(com/oracle/ojdbc6/11.2.0.2.0)
- * while Spark QA test run.
  *
  * The following would be the steps to test this
  * 1. Build Oracle database in Docker, please refer below link about how to.
  *
https://github.com/oracle/docker-images/blob/master/OracleDatabase/SingleInstance/README.md
  * 2. export ORACLE_DOCKER_IMAGE_NAME=$ORACLE_DOCKER_IMAGE_NAME
  *Pull oracle $ORACLE_DOCKER_IMAGE_NAME image - docker pull 
$ORACLE_DOCKER_IMAGE_NAME
  * 3. Start docker - sudo service docker start
- * 4. Download oracle 11g driver jar and put it in maven local repo:
- *(com/oracle/ojdbc6/11.2.0.2.0/ojdbc6-11.2.0.2.0.jar)
- * 5. The timeout and interval parameter to be increased from 60,1 to a high 
value for oracle test
- *in DockerJDBCIntegrationSuite.scala (Locally tested with 200,200 and 
executed successfully).
- * 6. Run spark test - ./build/sbt "test-only 
org.apache.spark.sql.jdbc.OracleIntegrationSuite"
+ * 4. The timeout and interval parameter to be increased to a high value for 
oracle test in
+ * DockerJDBCIntegrationSuite.scala (Locally tested with 
timeout(20.minutes), interval(1.second)
+ * and executed successfully).

Review comment:
   How about rephrasing it a bit like this?
   ```
* 4. The timeout and interval parameter to be increased to a high value for 
oracle test in
*DockerJDBCIntegrationSuite.scala (Locally tested with 20 min timeout 
and 1 sec interval
*then executed successfully).
   ```





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[GitHub] [spark] maropu commented on a change in pull request #28863: [SPARK-31336][SQL] Support Oracle Kerberos login in JDBC connector

2020-06-19 Thread GitBox


maropu commented on a change in pull request #28863:
URL: https://github.com/apache/spark/pull/28863#discussion_r443105992



##
File path: 
external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
##
@@ -32,35 +32,29 @@ import org.apache.spark.tags.DockerTest
 
 /**
  * This patch was tested using the Oracle docker. Created this integration 
suite for the same.
- * The ojdbc6-11.2.0.2.0.jar was to be downloaded from the maven repository. 
Since there was
- * no jdbc jar available in the maven repository, the jar was downloaded from 
oracle site
- * manually and installed in the local; thus tested. So, for SparkQA test case 
run, the
- * ojdbc jar might be manually placed in the local maven 
repository(com/oracle/ojdbc6/11.2.0.2.0)
- * while Spark QA test run.
  *
  * The following would be the steps to test this
  * 1. Build Oracle database in Docker, please refer below link about how to.
  *
https://github.com/oracle/docker-images/blob/master/OracleDatabase/SingleInstance/README.md
  * 2. export ORACLE_DOCKER_IMAGE_NAME=$ORACLE_DOCKER_IMAGE_NAME
  *Pull oracle $ORACLE_DOCKER_IMAGE_NAME image - docker pull 
$ORACLE_DOCKER_IMAGE_NAME
  * 3. Start docker - sudo service docker start
- * 4. Download oracle 11g driver jar and put it in maven local repo:
- *(com/oracle/ojdbc6/11.2.0.2.0/ojdbc6-11.2.0.2.0.jar)
- * 5. The timeout and interval parameter to be increased from 60,1 to a high 
value for oracle test
- *in DockerJDBCIntegrationSuite.scala (Locally tested with 200,200 and 
executed successfully).
- * 6. Run spark test - ./build/sbt "test-only 
org.apache.spark.sql.jdbc.OracleIntegrationSuite"
+ * 4. The timeout and interval parameter to be increased to a high value for 
oracle test in
+ * DockerJDBCIntegrationSuite.scala (Locally tested with 
timeout(20.minutes), interval(1.second)
+ * and executed successfully).
+ * 5. Run spark test - ./build/sbt "test-only 
org.apache.spark.sql.jdbc.OracleIntegrationSuite"
  *
- * All tests in this suite are ignored because of the dependency with the 
oracle jar from maven
- * repository.
+ * It has been validated with 18.4.0 Express Edition.

Review comment:
   This info looks useful, so how about moving it into the comment side 
like this?
   ```
   
* ...
* 5. Run spark test - ./build/sbt "test-only 
org.apache.spark.sql.jdbc.OracleIntegrationSuite"
*
* An actual sequence of commands to run the test is as follows
*
*  $ git clone https://github.com/oracle/docker-images.git
*  // Head SHA: 3e352a22618070595f823977a0fd1a3a8071a83c
*  $ cd docker-images/OracleDatabase/SingleInstance/dockerfiles
*  $ ./buildDockerImage.sh -v 18.4.0 -x
*  $ export ORACLE_DOCKER_IMAGE_NAME=oracle/database:18.4.0-xe
*  $ cd $SPARK_HOME
*  $ ./build/sbt "test-only 
org.apache.spark.sql.jdbc.OracleIntegrationSuite"
*
* It has been validated with 18.4.0 Express Edition.
*/
   ```





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[GitHub] [spark] SparkQA commented on pull request #28868: [SPARK-32029][SQL] Make active session null when application end

2020-06-19 Thread GitBox


SparkQA commented on pull request #28868:
URL: https://github.com/apache/spark/pull/28868#issuecomment-646947759


   **[Test build #124312 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/124312/testReport)**
 for PR 28868 at commit 
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* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.



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[GitHub] [spark] maropu commented on a change in pull request #28863: [SPARK-31336][SQL] Support Oracle Kerberos login in JDBC connector

2020-06-19 Thread GitBox


maropu commented on a change in pull request #28863:
URL: https://github.com/apache/spark/pull/28863#discussion_r443105104



##
File path: 
external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
##
@@ -69,6 +63,7 @@ class OracleIntegrationSuite extends 
DockerJDBCIntegrationSuite with SharedSpark
   }
 
   override def dataPreparation(conn: Connection): Unit = {
+conn.setAutoCommit(false)

Review comment:
   Could you leave the comment in the code side?





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[GitHub] [spark] maropu commented on a change in pull request #28863: [SPARK-31336][SQL] Support Oracle Kerberos login in JDBC connector

2020-06-19 Thread GitBox


maropu commented on a change in pull request #28863:
URL: https://github.com/apache/spark/pull/28863#discussion_r443105054



##
File path: 
external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
##
@@ -32,35 +32,29 @@ import org.apache.spark.tags.DockerTest
 
 /**
  * This patch was tested using the Oracle docker. Created this integration 
suite for the same.
- * The ojdbc6-11.2.0.2.0.jar was to be downloaded from the maven repository. 
Since there was
- * no jdbc jar available in the maven repository, the jar was downloaded from 
oracle site
- * manually and installed in the local; thus tested. So, for SparkQA test case 
run, the
- * ojdbc jar might be manually placed in the local maven 
repository(com/oracle/ojdbc6/11.2.0.2.0)
- * while Spark QA test run.
  *
  * The following would be the steps to test this
  * 1. Build Oracle database in Docker, please refer below link about how to.
  *
https://github.com/oracle/docker-images/blob/master/OracleDatabase/SingleInstance/README.md
  * 2. export ORACLE_DOCKER_IMAGE_NAME=$ORACLE_DOCKER_IMAGE_NAME
  *Pull oracle $ORACLE_DOCKER_IMAGE_NAME image - docker pull 
$ORACLE_DOCKER_IMAGE_NAME
  * 3. Start docker - sudo service docker start
- * 4. Download oracle 11g driver jar and put it in maven local repo:
- *(com/oracle/ojdbc6/11.2.0.2.0/ojdbc6-11.2.0.2.0.jar)
- * 5. The timeout and interval parameter to be increased from 60,1 to a high 
value for oracle test
- *in DockerJDBCIntegrationSuite.scala (Locally tested with 200,200 and 
executed successfully).
- * 6. Run spark test - ./build/sbt "test-only 
org.apache.spark.sql.jdbc.OracleIntegrationSuite"
+ * 4. The timeout and interval parameter to be increased to a high value for 
oracle test in
+ * DockerJDBCIntegrationSuite.scala (Locally tested with 
timeout(20.minutes), interval(1.second)
+ * and executed successfully).

Review comment:
   nit: looks wrong indents.

##
File path: 
external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
##
@@ -32,35 +32,29 @@ import org.apache.spark.tags.DockerTest
 
 /**
  * This patch was tested using the Oracle docker. Created this integration 
suite for the same.
- * The ojdbc6-11.2.0.2.0.jar was to be downloaded from the maven repository. 
Since there was
- * no jdbc jar available in the maven repository, the jar was downloaded from 
oracle site
- * manually and installed in the local; thus tested. So, for SparkQA test case 
run, the
- * ojdbc jar might be manually placed in the local maven 
repository(com/oracle/ojdbc6/11.2.0.2.0)
- * while Spark QA test run.
  *
  * The following would be the steps to test this
  * 1. Build Oracle database in Docker, please refer below link about how to.
  *
https://github.com/oracle/docker-images/blob/master/OracleDatabase/SingleInstance/README.md
  * 2. export ORACLE_DOCKER_IMAGE_NAME=$ORACLE_DOCKER_IMAGE_NAME
  *Pull oracle $ORACLE_DOCKER_IMAGE_NAME image - docker pull 
$ORACLE_DOCKER_IMAGE_NAME
  * 3. Start docker - sudo service docker start
- * 4. Download oracle 11g driver jar and put it in maven local repo:
- *(com/oracle/ojdbc6/11.2.0.2.0/ojdbc6-11.2.0.2.0.jar)
- * 5. The timeout and interval parameter to be increased from 60,1 to a high 
value for oracle test
- *in DockerJDBCIntegrationSuite.scala (Locally tested with 200,200 and 
executed successfully).
- * 6. Run spark test - ./build/sbt "test-only 
org.apache.spark.sql.jdbc.OracleIntegrationSuite"
+ * 4. The timeout and interval parameter to be increased to a high value for 
oracle test in
+ * DockerJDBCIntegrationSuite.scala (Locally tested with 
timeout(20.minutes), interval(1.second)
+ * and executed successfully).
+ * 5. Run spark test - ./build/sbt "test-only 
org.apache.spark.sql.jdbc.OracleIntegrationSuite"
  *
- * All tests in this suite are ignored because of the dependency with the 
oracle jar from maven
- * repository.
+ * It has been validated with 18.4.0 Express Edition.
  */
+

Review comment:
   nit: plz remove the blank.





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[GitHub] [spark] maropu commented on a change in pull request #28863: [SPARK-31336][SQL] Support Oracle Kerberos login in JDBC connector

2020-06-19 Thread GitBox


maropu commented on a change in pull request #28863:
URL: https://github.com/apache/spark/pull/28863#discussion_r443104744



##
File path: external/docker-integration-tests/pom.xml
##
@@ -130,15 +130,9 @@
   postgresql
   test
 
-
-
-  com.oracle
-  ojdbc6
-  11.2.0.1.0
+
+  com.oracle.database.jdbc
+  ojdbc8

Review comment:
   +1; this fix looks separate from this PR.





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[GitHub] [spark] siknezevic edited a comment on pull request #27246: [SPARK-30536][CORE][SQL] Sort-merge join operator spilling performance improvements

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siknezevic edited a comment on pull request #27246:
URL: https://github.com/apache/spark/pull/27246#issuecomment-646931795


   > > Could you please let me know would it be OK to hard-code the read buffer 
size to 1024?
   > 
   > You think the performance is independent of running platforms, e.g., CPU 
arch and disk I/O? I'm not 100% sure that the `1024` value is the best on our 
supported platforms...
   > 
   > > With 10TB TPCDS data set I tested spilling with query q14a and buffer 
size of 1024. Execution with hard-coded read buffer size is faster by 37% (27 
min vs 37 min) comparing to the execution when buffer size is parameterized and 
the same size 1024 is used. Query q14a, for 10TB data set, generates around 180 
million joins per partition and when buffer size is parameterized, that 
translates into 10 min longer execution time.
   > 
   > Why does the parameterized one have so much overhead?
   
   Not sure. It looks that call to package.scala to read parameter takes some 
time. And that time is big enough to cause performance hit because it is 
executed for each join row. In the case of 10TB data set there is around 180 
million rows per partition. The code change that I did was to put 1024 when 
array is created and comment call to read parameter from package.scala. That is 
all.



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[GitHub] [spark] TJX2014 commented on pull request #28819: [SPARK-31980][SQL]Function sequence() fails if start and end of range are equal dates

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TJX2014 commented on pull request #28819:
URL: https://github.com/apache/spark/pull/28819#issuecomment-646934894


   Thanks, I will make a PR for branch-2.4.



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TJX2014 removed a comment on pull request #28819:
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   @dongjoon-hyun Thanks, I am willing to, I still have a question, Could you 
please help me check.Could I  base `master` to use 
`CalendarInterval.fromString` instead of `stringToInterval` or just base 
`branch-2.4` to use `CalendarInterval.fromString` but base `master` to use 
`stringToInterval`.



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[GitHub] [spark] TJX2014 commented on pull request #28819: [SPARK-31980][SQL]Function sequence() fails if start and end of range are equal dates

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TJX2014 commented on pull request #28819:
URL: https://github.com/apache/spark/pull/28819#issuecomment-646933713


   @dongjoon-hyun Thanks, I am willing to, I still have a question, Could you 
please help me check.Could I  base `master` to use 
`CalendarInterval.fromString` instead of `stringToInterval` or just base 
`branch-2.4` to use `CalendarInterval.fromString` but base `master` to use 
`stringToInterval`.



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[GitHub] [spark] siknezevic commented on pull request #27246: [SPARK-30536][CORE][SQL] Sort-merge join operator spilling performance improvements

2020-06-19 Thread GitBox


siknezevic commented on pull request #27246:
URL: https://github.com/apache/spark/pull/27246#issuecomment-646931795


   > > Could you please let me know would it be OK to hard-code the read buffer 
size to 1024?
   > 
   > You think the performance is independent of running platforms, e.g., CPU 
arch and disk I/O? I'm not 100% sure that the `1024` value is the best on our 
supported platforms...
   > 
   > > With 10TB TPCDS data set I tested spilling with query q14a and buffer 
size of 1024. Execution with hard-coded read buffer size is faster by 37% (27 
min vs 37 min) comparing to the execution when buffer size is parameterized and 
the same size 1024 is used. Query q14a, for 10TB data set, generates around 180 
million joins per partition and when buffer size is parameterized, that 
translates into 10 min longer execution time.
   > 
   > Why does the parameterized one have so much overhead?
   
   Not sure. It looks that call to package.scala to read parameter takes some 
time. And that time is big enough to cause performance hit because it is 
executed for each join row. In the case of 10TB data set there is around 180 
million rows per partition. 



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[GitHub] [spark] dilipbiswal commented on a change in pull request #28683: [SPARK-31875][SQL] Provide a option to disable user supplied Hints

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dilipbiswal commented on a change in pull request #28683:
URL: https://github.com/apache/spark/pull/28683#discussion_r443096878



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##
@@ -2065,6 +2065,15 @@ object SQLConf {
   .booleanConf
   .createWithDefault(true)
 
+  val OPTIMIZER_HINTS_ENABLED =
+buildConf("spark.sql.optimizer.hints.enabled")

Review comment:
   @dongjoon-hyun Thank you. I have made the change.





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[GitHub] [spark] dongjoon-hyun commented on pull request #28528: [SPARK-31711][CORE] Register the executor source with the metrics system when running in local mode.

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   Retest this please.



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[GitHub] [spark] yaooqinn commented on pull request #28784: [SPARK-31957][SQL] Cleanup hive scratch dir for the developer api startWithContext

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yaooqinn commented on pull request #28784:
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   Thank you all for reviewing and merging 



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[GitHub] [spark] dongjoon-hyun commented on pull request #28616: [SPARK-31798][SHUFFLE][API] Shuffle Writer API changes to return custom map output metadata

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   Retest this please.



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   Retest this please.



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[GitHub] [spark] dongjoon-hyun closed pull request #28784: [SPARK-31957][SQL] Cleanup hive scratch dir for the developer api startWithContext

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[GitHub] [spark] dongjoon-hyun commented on pull request #28683: [SPARK-31875][SQL] Provide a option to disable user supplied Hints

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dongjoon-hyun commented on pull request #28683:
URL: https://github.com/apache/spark/pull/28683#issuecomment-646925511


   Thank you, @dilipbiswal . The feature looks useful to me.



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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #28683: [SPARK-31875][SQL] Provide a option to disable user supplied Hints

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dongjoon-hyun commented on a change in pull request #28683:
URL: https://github.com/apache/spark/pull/28683#discussion_r443094576



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##
@@ -2065,6 +2065,15 @@ object SQLConf {
   .booleanConf
   .createWithDefault(true)
 
+  val OPTIMIZER_HINTS_ENABLED =
+buildConf("spark.sql.optimizer.hints.enabled")

Review comment:
   Can we have more direct names like `OPTIMIZER_IGNORE_HINTS`? Maybe, 
`spark.sql.optimizer.ignoreHints.enabled` like `spark.files.ignoreMissingFiles` 
or `spark.files.ignoreCorruptFiles`?





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[GitHub] [spark] dongjoon-hyun commented on pull request #28683: [SPARK-31875][SQL] Provide a option to disable user supplied Hints

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dongjoon-hyun commented on pull request #28683:
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   Could you resolve a conflict, @dilipbiswal ?



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[GitHub] [spark] dongjoon-hyun edited a comment on pull request #28873: [SPARK-32021][SQL] Increase precision of seconds and fractions of `make_interval`

2020-06-19 Thread GitBox


dongjoon-hyun edited a comment on pull request #28873:
URL: https://github.com/apache/spark/pull/28873#issuecomment-646923926


   Could you make a backporting PR to branch-3.0? We need to regenerate some 
files.



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[GitHub] [spark] dongjoon-hyun commented on pull request #28873: [SPARK-32021][SQL] Increase precision of seconds and fractions of `make_interval`

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dongjoon-hyun commented on pull request #28873:
URL: https://github.com/apache/spark/pull/28873#issuecomment-646923926


   Could you make a backporting PR to branch-3.0?



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[GitHub] [spark] dongjoon-hyun closed pull request #28873: [SPARK-32021][SQL] Increase precision of seconds and fractions of `make_interval`

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dongjoon-hyun closed pull request #28873:
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[GitHub] [spark] dongjoon-hyun commented on pull request #28819: [SPARK-31980][SQL]Function sequence() fails if start and end of range are equal dates

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dongjoon-hyun commented on pull request #28819:
URL: https://github.com/apache/spark/pull/28819#issuecomment-646923541


   Hi, @TJX2014 .
   In branch-2.4, `stringToInterval` doesn't exist. Could you make a PR for 
Apache Spark 2.4.7 please?



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[GitHub] [spark] holdenk commented on pull request #28874: [SPARK-32036] Replace references to blacklist/whitelist language with more appropriate terminology, excluding the blacklisting feature.

2020-06-19 Thread GitBox


holdenk commented on pull request #28874:
URL: https://github.com/apache/spark/pull/28874#issuecomment-646923353


   Sure, I'm taking this weekend away from coding so I'll get to this early 
next week.



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[GitHub] [spark] dongjoon-hyun closed pull request #28819: [SPARK-31980][SQL]Function sequence() fails if start and end of range are equal dates

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dongjoon-hyun closed pull request #28819:
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[GitHub] [spark] SparkQA removed a comment on pull request #28873: [SPARK-32021][SQL] Increase precision of seconds and fractions of `make_interval`

2020-06-19 Thread GitBox


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[GitHub] [spark] SparkQA commented on pull request #28873: [SPARK-32021][SQL] Increase precision of seconds and fractions of `make_interval`

2020-06-19 Thread GitBox


SparkQA commented on pull request #28873:
URL: https://github.com/apache/spark/pull/28873#issuecomment-646920751


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* This patch passes all tests.
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[GitHub] [spark] AmplabJenkins removed a comment on pull request #28868: [SPARK-32029][SQL] Make active session null when application end

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[GitHub] [spark] SparkQA removed a comment on pull request #28868: [SPARK-32029][SQL] Make active session null when application end

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[GitHub] [spark] AmplabJenkins commented on pull request #28868: [SPARK-32029][SQL] Make active session null when application end

2020-06-19 Thread GitBox


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[GitHub] [spark] SparkQA commented on pull request #28868: [SPARK-32029][SQL] Make active session null when application end

2020-06-19 Thread GitBox


SparkQA commented on pull request #28868:
URL: https://github.com/apache/spark/pull/28868#issuecomment-646916428


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* This patch **fails Spark unit tests**.
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* This patch adds no public classes.



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[GitHub] [spark] venkata91 commented on a change in pull request #28874: [SPARK-32036] Replace references to blacklist/whitelist language with more appropriate terminology, excluding the blacklisting

2020-06-19 Thread GitBox


venkata91 commented on a change in pull request #28874:
URL: https://github.com/apache/spark/pull/28874#discussion_r443089270



##
File path: core/src/test/scala/org/apache/spark/ui/UISeleniumSuite.scala
##
@@ -48,24 +48,24 @@ import org.apache.spark.util.CallSite
 
 private[spark] class SparkUICssErrorHandler extends DefaultCssErrorHandler {
 
-  private val cssWhiteList = List("bootstrap.min.css", 
"vis-timeline-graph2d.min.css")
+  private val cssExcludeList = List("bootstrap.min.css", 
"vis-timeline-graph2d.min.css")

Review comment:
   also it seems in some cases we use `exclude` for both `whitelist` as 
well as `blacklist`. Like here `exclude` is used for `whiteList` and 
[here](https://github.com/apache/spark/blob/8f414bc6b4eeb59203ecb33c26c762a57bf5429e/resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosClusterScheduler.scala#L542)
 for `blackList`. In general, I prefer `allowedList` for `whitelist` and 
`denyList` or `rejectList` or `stopList` etc for `blacklist` makes it easier to 
comprehend quickly. I understand its hard to use the same word everywhere 
because of the context.

##
File path: core/src/test/scala/org/apache/spark/ui/UISeleniumSuite.scala
##
@@ -48,24 +48,24 @@ import org.apache.spark.util.CallSite
 
 private[spark] class SparkUICssErrorHandler extends DefaultCssErrorHandler {
 
-  private val cssWhiteList = List("bootstrap.min.css", 
"vis-timeline-graph2d.min.css")
+  private val cssExcludeList = List("bootstrap.min.css", 
"vis-timeline-graph2d.min.css")

Review comment:
   same here instead of `exclude` how about `allowed`?

##
File path: R/pkg/tests/fulltests/test_sparkSQL.R
##
@@ -3921,14 +3921,14 @@ test_that("No extra files are created in SPARK_HOME by 
starting session and maki
   # before creating a SparkSession with enableHiveSupport = T at the top of 
this test file
   # (filesBefore). The test here is to compare that (filesBefore) against the 
list of files before
   # any test is run in run-all.R (sparkRFilesBefore).
-  # sparkRWhitelistSQLDirs is also defined in run-all.R, and should contain 
only 2 whitelisted dirs,
+  # sparkRIncludedSQLDirs is also defined in run-all.R, and should contain 
only 2 included dirs,

Review comment:
   does it make sense to have `allowed` here instead of `included`?





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[GitHub] [spark] xianyinxin commented on pull request #28875: [SPARK-32030][SQL] Support unlimited MATCHED and NOT MATCHED clauses in MERGE INTO

2020-06-19 Thread GitBox


xianyinxin commented on pull request #28875:
URL: https://github.com/apache/spark/pull/28875#issuecomment-646915406


   @cloud-fan @brkyvz , pls take a look.



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[GitHub] [spark] dongjoon-hyun commented on pull request #28826: [SPARK-31988][SQL] Schema pruning may discard attribute metadata

2020-06-19 Thread GitBox


dongjoon-hyun commented on pull request #28826:
URL: https://github.com/apache/spark/pull/28826#issuecomment-646914222


   BTW, @guykhazma . Is the example in the PR description enough? If I follow 
the direction, the metadata is not lost.
   ```
   scala> sc.version
   res1: String = 3.0.0
   ...
   {"key":"value"}
   {}
   {"key":"value"}
   {}
   ```



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[GitHub] [spark] dongjoon-hyun edited a comment on pull request #28826: [SPARK-31988][SQL] Schema pruning may discard attribute metadata

2020-06-19 Thread GitBox


dongjoon-hyun edited a comment on pull request #28826:
URL: https://github.com/apache/spark/pull/28826#issuecomment-646914222


   BTW, @guykhazma . Is the example in the PR description enough? If I follow 
the direction, the metadata is not lost. If that is insufficient, please add 
more steps for the other people.
   ```
   scala> sc.version
   res1: String = 3.0.0
   ...
   {"key":"value"}
   {}
   {"key":"value"}
   {}
   ```



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[GitHub] [spark] AmplabJenkins commented on pull request #28875: [SPARK-32030][SQL] Support unlimited MATCHED and NOT MATCHED clauses in MERGE INTO

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[GitHub] [spark] SparkQA commented on pull request #28875: [SPARK-32030][SQL] Support unlimited MATCHED and NOT MATCHED clauses in MERGE INTO

2020-06-19 Thread GitBox


SparkQA commented on pull request #28875:
URL: https://github.com/apache/spark/pull/28875#issuecomment-646914074


   **[Test build #124306 has 
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[GitHub] [spark] dongjoon-hyun edited a comment on pull request #28826: [SPARK-31988][SQL] Schema pruning may discard attribute metadata

2020-06-19 Thread GitBox


dongjoon-hyun edited a comment on pull request #28826:
URL: https://github.com/apache/spark/pull/28826#issuecomment-646913172


   +1, for @maropu 's suggestion. You can use your example in the PR 
description, @guykhazma . 
   
   Also, I have the same question like @viirya . This seems to affect both v1 
and v2. Please add a test case for both V1/V2.



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