[GitHub] [spark] SparkQA removed a comment on issue #24903: [SPARK-28084][SQL] Resolving the partition column name based on the resolver in sql load command

2019-08-15 Thread GitBox
SparkQA removed a comment on issue #24903: [SPARK-28084][SQL] Resolving the 
partition column name based on the resolver in sql load command 
URL: https://github.com/apache/spark/pull/24903#issuecomment-521857476
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25463: [SPARK-28744][SQL][TEST] rename SharedSQLContext to SharedSparkSession

2019-08-15 Thread GitBox
AmplabJenkins commented on issue #25463: [SPARK-28744][SQL][TEST] rename 
SharedSQLContext to SharedSparkSession
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[GitHub] [spark] AmplabJenkins commented on issue #24903: [SPARK-28084][SQL] Resolving the partition column name based on the resolver in sql load command

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[GitHub] [spark] SparkQA commented on issue #24903: [SPARK-28084][SQL] Resolving the partition column name based on the resolver in sql load command

2019-08-15 Thread GitBox
SparkQA commented on issue #24903: [SPARK-28084][SQL] Resolving the partition 
column name based on the resolver in sql load command 
URL: https://github.com/apache/spark/pull/24903#issuecomment-521858257
 
 
   **[Test build #109170 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/109170/testReport)**
 for PR 24903 at commit 
[`de5f671`](https://github.com/apache/spark/commit/de5f671dcaead11837ad027614cb2aa75315abb5).
* This patch **fails Scala style tests**.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25436: [WIP]Support minPartitions for batch and Kafka source v1

2019-08-15 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #24903: [SPARK-28084][SQL] Resolving the partition column name based on the resolver in sql load command

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[GitHub] [spark] AngersZhuuuu opened a new pull request #25469: [SPARK-27637][Shuffle][FLLOW-UP]For nettyBlockTransferService, if IOException occurred while create client, check whether relative execu

2019-08-15 Thread GitBox
AngersZh opened a new pull request #25469: 
[SPARK-27637][Shuffle][FLLOW-UP]For nettyBlockTransferService, if IOException 
occurred while create client, check whether relative executor is alive before 
retry #24533
URL: https://github.com/apache/spark/pull/25469
 
 
   ### What changes were proposed in this pull request?
   
   In pr #[24533](https://github.com/apache/spark/pull/24533/files) , it 
prevent retry to an removed Executor. 
   In my test, I can't catch exceptions from 
   ` new OneForOneBlockFetcher(client, appId, execId, blockIds, listener,
 transportConf, tempFileManager).start()`
   And I check the code carefully, method **start()** will handle exception of 
IOException in it's retry logical, won't throw it out. until it meet maxRetry 
times or meet exception that is not  IOException. 
   
   And if we meet the situation that when we fetch block , the executor is 
dead, when we rerun 
   `RetryingBlockFetcher.BlockFetchStarter.createAndStart()`
   we may failed when we create a transport client to dead executor. it will 
throw a IOException. 
   We should catch this IOException.
   
   ### Why are the changes needed?
   
   
   
   ### Does this PR introduce any user-facing change?
   
   
   
   ### How was this patch tested?
   
   


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[GitHub] [spark] SparkQA removed a comment on issue #25436: [WIP]Support minPartitions for batch and Kafka source v1

2019-08-15 Thread GitBox
SparkQA removed a comment on issue #25436: [WIP]Support minPartitions for batch 
and Kafka source v1
URL: https://github.com/apache/spark/pull/25436#issuecomment-521857487
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25368: [SPARK-28635][SQL] create CatalogManager to track registered v2 catalogs

2019-08-15 Thread GitBox
AmplabJenkins commented on issue #25368: [SPARK-28635][SQL] create 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #24903: [SPARK-28084][SQL] Resolving the partition column name based on the resolver in sql load command

2019-08-15 Thread GitBox
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[GitHub] [spark] SparkQA commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For nettyBlockTransferService, if IOException occurred while create client, check whether relative executor is alive

2019-08-15 Thread GitBox
SparkQA commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For 
nettyBlockTransferService, if IOException occurred while create client, check 
whether relative executor is alive before retry #24533
URL: https://github.com/apache/spark/pull/25469#issuecomment-521862739
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25467: [SPARK-28634][yarn] Ignore kerberos login config in client mode AM.

2019-08-15 Thread GitBox
AmplabJenkins removed a comment on issue #25467: [SPARK-28634][yarn] Ignore 
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[GitHub] [spark] SparkQA commented on issue #24903: [SPARK-28084][SQL] Resolving the partition column name based on the resolver in sql load command

2019-08-15 Thread GitBox
SparkQA commented on issue #24903: [SPARK-28084][SQL] Resolving the partition 
column name based on the resolver in sql load command 
URL: https://github.com/apache/spark/pull/24903#issuecomment-521862762
 
 
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[GitHub] [spark] SparkQA commented on issue #25383: [SPARK-13677][ML] Implement Tree-Based Feature Transformation for ML

2019-08-15 Thread GitBox
SparkQA commented on issue #25383: [SPARK-13677][ML] Implement Tree-Based 
Feature Transformation for ML
URL: https://github.com/apache/spark/pull/25383#issuecomment-521862787
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25467: [SPARK-28634][yarn] Ignore kerberos login config in client mode AM.

2019-08-15 Thread GitBox
AmplabJenkins removed a comment on issue #25467: [SPARK-28634][yarn] Ignore 
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[GitHub] [spark] SparkQA removed a comment on issue #25467: [SPARK-28634][yarn] Ignore kerberos login config in client mode AM.

2019-08-15 Thread GitBox
SparkQA removed a comment on issue #25467: [SPARK-28634][yarn] Ignore kerberos 
login config in client mode AM.
URL: https://github.com/apache/spark/pull/25467#issuecomment-521857551
 
 
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[GitHub] [spark] dilipbiswal commented on a change in pull request #24759: [SPARK-27395][SQL][WIP] Improve EXPLAIN command

2019-08-15 Thread GitBox
dilipbiswal commented on a change in pull request #24759: 
[SPARK-27395][SQL][WIP] Improve EXPLAIN command
URL: https://github.com/apache/spark/pull/24759#discussion_r314567385
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
 ##
 @@ -179,6 +182,22 @@ abstract class QueryPlan[PlanType <: QueryPlan[PlanType]] 
extends TreeNode[PlanT
 
   override def verboseString(maxFields: Int): String = simpleString(maxFields)
 
+  override def simpleStringWithNodeId(): String = {
+val tag = new TreeNodeTag[Int]("operatorId")
 
 Review comment:
   @cloud-fan Thanks.. will do.


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[GitHub] [spark] HyukjinKwon edited a comment on issue #25415: [SPARK-28390][SQL][PYTHON][TESTS] [FOLLOW-UP] Update the TODO with actual blocking JIRA IDs

2019-08-15 Thread GitBox
HyukjinKwon edited a comment on issue #25415: [SPARK-28390][SQL][PYTHON][TESTS] 
[FOLLOW-UP] Update the TODO with  actual blocking JIRA IDs
URL: https://github.com/apache/spark/pull/25415#issuecomment-521426956
 
 
   Yea that's fine to update comments. But @shivusondur can you confirm if you 
are unable to fix any test or some tests to have use in GROUP BY clause due to 
both JIRAs? If you can, let's add some tests and only comment out the other 
tests not working by both JIRAs.


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[GitHub] [spark] cloud-fan commented on issue #24715: [SPARK-25474][SQL] Data source tables support fallback to HDFS for size estimation

2019-08-15 Thread GitBox
cloud-fan commented on issue #24715: [SPARK-25474][SQL] Data source tables 
support fallback to HDFS for size estimation
URL: https://github.com/apache/spark/pull/24715#issuecomment-521868936
 
 
   let's discuss the perf problem later, and focus on the bug fix first.


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[GitHub] [spark] hddong commented on a change in pull request #25412: [SPARK-28691][EXAMPLES] Add Java/Scala DirectKerberizedKafkaWordCount examples

2019-08-15 Thread GitBox
hddong commented on a change in pull request #25412: [SPARK-28691][EXAMPLES] 
Add Java/Scala DirectKerberizedKafkaWordCount examples
URL: https://github.com/apache/spark/pull/25412#discussion_r314570912
 
 

 ##
 File path: 
examples/src/main/java/org/apache/spark/examples/streaming/JavaDirectKerberizedKafkaWordCount.java
 ##
 @@ -0,0 +1,118 @@
+/*
+ * 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.examples.streaming;
+
+import java.util.HashMap;
+import java.util.HashSet;
+import java.util.Arrays;
+import java.util.Map;
+import java.util.Set;
+import java.util.regex.Pattern;
+
+import scala.Tuple2;
+
+import org.apache.kafka.clients.CommonClientConfigs;
+import org.apache.kafka.common.security.auth.SecurityProtocol;
+import org.apache.kafka.clients.consumer.ConsumerConfig;
+import org.apache.kafka.clients.consumer.ConsumerRecord;
+import org.apache.kafka.common.serialization.StringDeserializer;
+
+import org.apache.spark.SparkConf;
+import org.apache.spark.streaming.api.java.*;
+import org.apache.spark.streaming.kafka010.ConsumerStrategies;
+import org.apache.spark.streaming.kafka010.KafkaUtils;
+import org.apache.spark.streaming.kafka010.LocationStrategies;
+import org.apache.spark.streaming.Durations;
+
+/**
+ * Consumes messages from one or more topics in Kafka and does wordcount.
+ * Usage: JavaDirectKerberizedKafkaWordCount   
+ *is a list of one or more Kafka brokers
+ *is a consumer group name to consume from topics
+ *is a list of one or more kafka topics to consume from
+ *
+ * Example:
+ *$ bin/run-example --files ${path}/kafka_jaas.conf \
+ *  --driver-java-options 
"-Djava.security.auth.login.config=${path}/kafka_jaas.conf" \
+ *  --conf \
+ *  
"spark.executor.extraJavaOptions=-Djava.security.auth.login.config=./kafka_jaas.conf"
 \
+ *  streaming.JavaDirectKerberizedKafkaWordCount 
broker1-host:port,broker2-host:port \
+ *  consumer-group topic1,topic2
+ *
+ * kafka_jaas.conf can manually create, template as:
+ *   KafkaClient {
+ * com.sun.security.auth.module.Krb5LoginModule required
+ * keyTab="${path_of_keytab}/kafka.service.keytab"
 
 Review comment:
   @gaborgsomogyi you are right, in my environment, keytab in same path of each 
node. I think we can two use jaas files:
   for driver `keyTab="${path_of_keytab}/kafka.service.keytab"`
   for executor `keyTab="./kafka.service.keytab"`
   and run-example as:
   `bin/run-example --files` 
`${path}/kafka_executor_jaas.conf,${kyetab_path}/kafka.service.keytab \`
` --driver-java-options 
"-Djava.security.auth.login.config=${path}/kafka_driver_jaas.conf" \`
` --conf \`
 
`"spark.executor.extraJavaOptions=-Djava.security.auth.login.config=./kafka_executor_jaas.conf"
 \`
`streaming.JavaDirectKerberizedKafkaWordCount 
broker1-host:port,broker2-host:port \`
` consumer-group topic1,topic2`
   That will become more general. Do you have any succinct advice?


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25306: [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table

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[GitHub] [spark] AmplabJenkins commented on issue #25306: [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table

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[GitHub] [spark] AmplabJenkins commented on issue #25306: [SPARK-28573][SQL] Convert InsertIntoTable(HiveTableRelation) to DataSource inserting for partitioned table

2019-08-15 Thread GitBox
AmplabJenkins commented on issue #25306: [SPARK-28573][SQL] Convert 
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[GitHub] [spark] cloud-fan commented on a change in pull request #24759: [SPARK-27395][SQL][WIP] Improve EXPLAIN command

2019-08-15 Thread GitBox
cloud-fan commented on a change in pull request #24759: [SPARK-27395][SQL][WIP] 
Improve EXPLAIN command
URL: https://github.com/apache/spark/pull/24759#discussion_r314572019
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/QueryExecution.scala
 ##
 @@ -127,10 +131,14 @@ class QueryExecution(
 ReuseExchange(sparkSession.sessionState.conf),
 ReuseSubquery(sparkSession.sessionState.conf))
 
-  def simpleString: String = withRedaction {
+  def simpleString[T <: QueryPlan[T]]: String = withRedaction {
 
 Review comment:
   why do we need type parameter here?


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[GitHub] [spark] maryannxue opened a new pull request #25471: [SPARK-28753][SQL] Dynamically reuse subqueries in AQE

2019-08-15 Thread GitBox
maryannxue opened a new pull request #25471: [SPARK-28753][SQL] Dynamically 
reuse subqueries in AQE
URL: https://github.com/apache/spark/pull/25471
 
 
   ### What changes were proposed in this pull request?
   This PR changes subquery reuse in Adaptive Query Execution from compile-time 
static reuse to execution-time dynamic reuse. This PR adds a 
`ReuseAdaptiveSubquery` rule that applies to a query stage after it is created 
and before it is executed. The new dynamic reuse enables subqueries to be 
reused across all different subquery levels.
   
   ### Why are the changes needed?
   This is an improvement to the current subquery reuse in Adaptive Query 
Execution, which allows subquery reuse to happen in a lazy fashion as well as 
at different subquery levels.
   
   ### Does this PR introduce any user-facing change?
   No.
   
   ### How was this patch tested?
   Passed existing tests.


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[GitHub] [spark] dilipbiswal commented on a change in pull request #24759: [SPARK-27395][SQL][WIP] Improve EXPLAIN command

2019-08-15 Thread GitBox
dilipbiswal commented on a change in pull request #24759: 
[SPARK-27395][SQL][WIP] Improve EXPLAIN command
URL: https://github.com/apache/spark/pull/24759#discussion_r314576009
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
 ##
 @@ -526,9 +531,9 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]] 
extends Product {
* @param maxFields Maximum number of fields that will be converted to 
strings.
*  Any elements beyond the limit will be dropped.
*/
-  def simpleString(maxFields: Int): String = {
-s"$nodeName ${argString(maxFields)}".trim
-  }
+  def simpleString(maxFields: Int): String = s"$nodeName 
${argString(maxFields)}".trim
+
+  def simpleStringWithNodeId(): String = simpleString(0)
 
 Review comment:
   @cloud-fan Good idea Wenchen. Thanks.


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[GitHub] [spark] shahidki31 commented on a change in pull request #25460: [SPARK-25474][SQL][FOLLOW-UP] fallback to hdfs when relation table stats is not available

2019-08-15 Thread GitBox
shahidki31 commented on a change in pull request #25460: 
[SPARK-25474][SQL][FOLLOW-UP] fallback to hdfs when relation table stats is not 
available
URL: https://github.com/apache/spark/pull/25460#discussion_r314577254
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/HadoopFsRelation.scala
 ##
 @@ -72,7 +72,8 @@ case class HadoopFsRelation(
 val compressionFactor = sqlContext.conf.fileCompressionFactor
 val defaultSize = (location.sizeInBytes * compressionFactor).toLong
 location match {
-  case cfi: CatalogFileIndex if 
sparkSession.sessionState.conf.fallBackToHdfsForStatsEnabled =>
+  case cfi: CatalogFileIndex if 
sparkSession.sessionState.conf.fallBackToHdfsForStatsEnabled
+&& defaultSize == sqlContext.conf.defaultSizeInBytes =>
 
 Review comment:
   If the table statistics is available here,
   
https://github.com/apache/spark/blob/0ea8db9fd3d882140d8fa305dd69fc94db62cf8f/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala#L387-L390,
   
   Then it should be available here too right?
   
https://github.com/apache/spark/blob/0ea8db9fd3d882140d8fa305dd69fc94db62cf8f/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/LogicalRelation.scala#L43-L45
   
   So, ideally the flow shouldn't come here if the table statistics already 
exists. That is why even after #24715, `location.sizeInBytes` is 8.0EB


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[GitHub] [spark] maryannxue commented on issue #25456: [SPARK-28739][SQL] Add a simple cost check for Adaptive Query Execution

2019-08-15 Thread GitBox
maryannxue commented on issue #25456: [SPARK-28739][SQL] Add a simple cost 
check for Adaptive Query Execution
URL: https://github.com/apache/spark/pull/25456#issuecomment-521877104
 
 
   cc @cloud-fan @hvanhovell @gatorsmile 


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[GitHub] [spark] SparkQA commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For nettyBlockTransferService, if IOException occurred while create client, check whether relative executor is alive

2019-08-15 Thread GitBox
SparkQA commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For 
nettyBlockTransferService, if IOException occurred while create client, check 
whether relative executor is alive before retry #24533
URL: https://github.com/apache/spark/pull/25469#issuecomment-521880860
 
 
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[GitHub] [spark] maropu commented on issue #25451: [SPARK-28728][BUILD] Bump Jackson Databind to 2.9.9.3

2019-08-15 Thread GitBox
maropu commented on issue #25451: [SPARK-28728][BUILD] Bump Jackson Databind to 
2.9.9.3
URL: https://github.com/apache/spark/pull/25451#issuecomment-521884890
 
 
   retest this please


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[GitHub] [spark] SparkQA commented on issue #25368: [SPARK-28635][SQL] create CatalogManager to track registered v2 catalogs

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URL: https://github.com/apache/spark/pull/25368#issuecomment-521885024
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25368: [SPARK-28635][SQL] create CatalogManager to track registered v2 catalogs

2019-08-15 Thread GitBox
AmplabJenkins commented on issue #25368: [SPARK-28635][SQL] create 
CatalogManager to track registered v2 catalogs
URL: https://github.com/apache/spark/pull/25368#issuecomment-521885161
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25368: [SPARK-28635][SQL] create CatalogManager to track registered v2 catalogs

2019-08-15 Thread GitBox
AmplabJenkins commented on issue #25368: [SPARK-28635][SQL] create 
CatalogManager to track registered v2 catalogs
URL: https://github.com/apache/spark/pull/25368#issuecomment-521885162
 
 
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[GitHub] [spark] SparkQA commented on issue #25451: [SPARK-28728][BUILD] Bump Jackson Databind to 2.9.9.3

2019-08-15 Thread GitBox
SparkQA commented on issue #25451: [SPARK-28728][BUILD] Bump Jackson Databind 
to 2.9.9.3
URL: https://github.com/apache/spark/pull/25451#issuecomment-521885021
 
 
   **[Test build #109182 has 
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[`f6c2f4a`](https://github.com/apache/spark/commit/f6c2f4acb6f9eb57eae23190b2be93002e1c0f6a).


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[GitHub] [spark] HyukjinKwon commented on issue #25310: [SPARK-28578][INFRA] Improve Github pull request template

2019-08-15 Thread GitBox
HyukjinKwon commented on issue #25310: [SPARK-28578][INFRA] Improve Github pull 
request template
URL: https://github.com/apache/spark/pull/25310#issuecomment-521845038
 
 
   Let's see how it goes. thanks guys!


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[GitHub] [spark] William1104 commented on issue #24912: [WIP][SPARK-28103][SQL] Fix constraints of a Union Logical Plan

2019-08-15 Thread GitBox
William1104 commented on issue #24912: [WIP][SPARK-28103][SQL] Fix constraints 
of a Union Logical Plan
URL: https://github.com/apache/spark/pull/24912#issuecomment-521844926
 
 
   > @William1104 Is this still work in progress?
   
   Hi @venkata91, I am sorry that I have to put this work on hold at this 
moment. I hope I will work on it again some time later. 


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[GitHub] [spark] HyukjinKwon commented on issue #25310: [SPARK-28578][INFRA] Improve Github pull request template

2019-08-15 Thread GitBox
HyukjinKwon commented on issue #25310: [SPARK-28578][INFRA] Improve Github pull 
request template
URL: https://github.com/apache/spark/pull/25310#issuecomment-521844986
 
 
   Merged to master.


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[GitHub] [spark] maropu commented on a change in pull request #25460: [SPARK-25474][SQL][FOLLOW-UP] fallback to hdfs when relation table stats is not available

2019-08-15 Thread GitBox
maropu commented on a change in pull request #25460: 
[SPARK-25474][SQL][FOLLOW-UP] fallback to hdfs when relation table stats is not 
available
URL: https://github.com/apache/spark/pull/25460#discussion_r314552291
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/HadoopFsRelation.scala
 ##
 @@ -72,7 +72,8 @@ case class HadoopFsRelation(
 val compressionFactor = sqlContext.conf.fileCompressionFactor
 val defaultSize = (location.sizeInBytes * compressionFactor).toLong
 location match {
-  case cfi: CatalogFileIndex if 
sparkSession.sessionState.conf.fallBackToHdfsForStatsEnabled =>
+  case cfi: CatalogFileIndex if 
sparkSession.sessionState.conf.fallBackToHdfsForStatsEnabled
+&& defaultSize == sqlContext.conf.defaultSizeInBytes =>
 
 Review comment:
   btw, not `defaultSize == sqlContext.conf.defaultSizeInBytes` but 
`location.sizeInBytes == sqlContext.conf.defaultSizeInBytes`?
   See: https://github.com/apache/spark/pull/22502#discussion_r313938009
   
   But, does this comparison work well even when 
`sqlContext.conf.defaultSizeInBytes` changed by users?


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[GitHub] [spark] maropu commented on issue #25460: [SPARK-25474][SQL][FOLLOW-UP] fallback to hdfs when relation table stats is not available

2019-08-15 Thread GitBox
maropu commented on issue #25460: [SPARK-25474][SQL][FOLLOW-UP] fallback to 
hdfs when relation table stats is not available
URL: https://github.com/apache/spark/pull/25460#issuecomment-521847778
 
 
   I feel ok to do so (I think we should fix the existing issue on 
master/2.4/2.3...)


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[GitHub] [spark] maropu commented on issue #25464: [SPARK-28746][SQL] Add partitionby hint for sql queries

2019-08-15 Thread GitBox
maropu commented on issue #25464: [SPARK-28746][SQL] Add partitionby hint  for 
sql queries
URL: https://github.com/apache/spark/pull/25464#issuecomment-521852813
 
 
   @gatorsmile @maryannxue We need this?


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[GitHub] [spark] AmplabJenkins commented on issue #25464: [SPARK-28746][SQL] Add partitionby hint for sql queries

2019-08-15 Thread GitBox
AmplabJenkins commented on issue #25464: [SPARK-28746][SQL] Add partitionby 
hint  for sql queries
URL: https://github.com/apache/spark/pull/25464#issuecomment-521855487
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] AmplabJenkins commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For nettyBlockTransferService, if IOException occurred while create client, check whether relative executor is

2019-08-15 Thread GitBox
AmplabJenkins commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For 
nettyBlockTransferService, if IOException occurred while create client, check 
whether relative executor is alive before retry #24533
URL: https://github.com/apache/spark/pull/25469#issuecomment-521859543
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] AmplabJenkins commented on issue #25465: [SPARK-28747][SQL] merge the two data source v2 fallback configs

2019-08-15 Thread GitBox
AmplabJenkins commented on issue #25465: [SPARK-28747][SQL] merge the two data 
source v2 fallback configs
URL: https://github.com/apache/spark/pull/25465#issuecomment-521859617
 
 
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[GitHub] [spark] SparkQA commented on issue #25465: [SPARK-28747][SQL] merge the two data source v2 fallback configs

2019-08-15 Thread GitBox
SparkQA commented on issue #25465: [SPARK-28747][SQL] merge the two data source 
v2 fallback configs
URL: https://github.com/apache/spark/pull/25465#issuecomment-521859610
 
 
   **[Test build #109154 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/109154/testReport)**
 for PR 25465 at commit 
[`648264e`](https://github.com/apache/spark/commit/648264e666f852eead6d148a66e477a0e8c63f2e).
* This patch **fails to build**.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25423: [SPARK-28701][test-java11][k8s] adding java11 support for pull request builds

2019-08-15 Thread GitBox
AmplabJenkins removed a comment on issue #25423: 
[SPARK-28701][test-java11][k8s] adding java11 support for pull request builds
URL: https://github.com/apache/spark/pull/25423#issuecomment-521861460
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25423: [SPARK-28701][test-java11][k8s] adding java11 support for pull request builds

2019-08-15 Thread GitBox
AmplabJenkins removed a comment on issue #25423: 
[SPARK-28701][test-java11][k8s] adding java11 support for pull request builds
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25470: [SPARK-28751][Core] Imporve java serializer deserialization performance

2019-08-15 Thread GitBox
AmplabJenkins removed a comment on issue #25470: [SPARK-28751][Core] Imporve 
java serializer deserialization performance
URL: https://github.com/apache/spark/pull/25470#issuecomment-521861003
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] cloud-fan commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For nettyBlockTransferService, if IOException occurred while create client, check whether relative executor is ali

2019-08-15 Thread GitBox
cloud-fan commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For 
nettyBlockTransferService, if IOException occurred while create client, check 
whether relative executor is alive before retry #24533
URL: https://github.com/apache/spark/pull/25469#issuecomment-521861687
 
 
   ok to test


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[GitHub] [spark] SparkQA commented on issue #25423: [SPARK-28701][test-java11][k8s] adding java11 support for pull request builds

2019-08-15 Thread GitBox
SparkQA commented on issue #25423: [SPARK-28701][test-java11][k8s] adding 
java11 support for pull request builds
URL: https://github.com/apache/spark/pull/25423#issuecomment-521863526
 
 
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[GitHub] [spark] HyukjinKwon edited a comment on issue #25458: [SPARK-27931][SQL] Accept 'on' and 'off' as input and trim input for the boolean data type.

2019-08-15 Thread GitBox
HyukjinKwon edited a comment on issue #25458: [SPARK-27931][SQL] Accept 'on' 
and 'off' as input and trim input for the boolean data type.
URL: https://github.com/apache/spark/pull/25458#issuecomment-521869683
 
 
   cc @dongjoon-hyun, @cloud-fan and @gatorsmile as well.


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[GitHub] [spark] cloud-fan commented on a change in pull request #24759: [SPARK-27395][SQL][WIP] Improve EXPLAIN command

2019-08-15 Thread GitBox
cloud-fan commented on a change in pull request #24759: [SPARK-27395][SQL][WIP] 
Improve EXPLAIN command
URL: https://github.com/apache/spark/pull/24759#discussion_r314571122
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
 ##
 @@ -526,9 +531,9 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]] 
extends Product {
* @param maxFields Maximum number of fields that will be converted to 
strings.
*  Any elements beyond the limit will be dropped.
*/
-  def simpleString(maxFields: Int): String = {
-s"$nodeName ${argString(maxFields)}".trim
-  }
+  def simpleString(maxFields: Int): String = s"$nodeName 
${argString(maxFields)}".trim
+
+  def simpleStringWithNodeId(): String = simpleString(0)
 
 Review comment:
   I'd rather leave it abstract, to make sure it's implemented by `QueryPlan` 
and we implement `Expression.simpleStringWithNodeId` by throwing exception.


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[GitHub] [spark] AmplabJenkins commented on issue #25461: [SPARK-28741][SQL]Throw exceptions when casting to integers causes overflow

2019-08-15 Thread GitBox
AmplabJenkins commented on issue #25461: [SPARK-28741][SQL]Throw exceptions 
when casting to integers causes overflow
URL: https://github.com/apache/spark/pull/25461#issuecomment-521869595
 
 
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[GitHub] [spark] ConeyLiu commented on a change in pull request #25470: [SPARK-28751][Core] Imporve java serializer deserialization performance

2019-08-15 Thread GitBox
ConeyLiu commented on a change in pull request #25470: [SPARK-28751][Core] 
Imporve java serializer deserialization performance
URL: https://github.com/apache/spark/pull/25470#discussion_r314571103
 
 

 ##
 File path: 
core/src/test/scala/org/apache/spark/serializer/JavaSerializerBenchmark.scala
 ##
 @@ -0,0 +1,94 @@
+/*
+ * 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.serializer
+
+import java.nio.ByteBuffer
+
+import scala.reflect.ClassTag
+import scala.util.Random
+
+import org.apache.spark.SparkConf
+import org.apache.spark.benchmark.{Benchmark, BenchmarkBase}
+import org.apache.spark.internal.config._
+
+/**
+ * Benchmark for Java Serializer Deserialization use vs not use Class Resolve 
Cache.
+ * To run this benchmark:
+ * {{{
+ *   1. without sbt:
+ *  bin/spark-submit --class  --jars 
+ *   2. build/sbt "core/test:runMain "
+ *   3. generate result:
+ *  SPARK_GENERATE_BENCHMARK_FILES=1 build/sbt "core/test:runMain "
+ *  Results will be written to 
"benchmarks/JavaSerializerBenchmark-results.txt".
+ * }}}
+ */
+object JavaSerializerBenchmark extends BenchmarkBase {
+
+  val N = 10
+  override def runBenchmarkSuite(mainArgs: Array[String]): Unit = {
+val name = "Benchmark Java Serializer Deserialization use vs not use Class 
Resolve Cache"
+runBenchmark(name) {
+  val benchmark = new Benchmark(name, N, 10, output = output)
+  Seq(true, false).foreach(useUnsafe => run(useUnsafe, benchmark))
+  benchmark.run()
+}
+  }
+
+  private def run(useCache: Boolean, benchmark: Benchmark): Unit = {
+def createCase[T: ClassTag](name: String, size: Int, gen: () => T): Unit = 
{
+  lazy val ser = createSerializer(useCache)
+  val data: Array[ByteBuffer] = Array.fill(size)(ser.serialize(gen()))
+
+  benchmark.addCase(s"$name with cache:$useCache") { _ =>
+var i = 0
+var s: ByteBuffer = null
+while (i < size) {
+  s = data(i)
+  s.rewind()
+  ser.deserialize(s)
 
 Review comment:
   The `JavaSerializer` can provide threadsafe. I think that's why we use it in 
closure, RPC, and others. To reuse `InputStream` may need to do some threadsafe 
protection, such as `ThreadLocal`.


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[GitHub] [spark] hddong commented on a change in pull request #25412: [SPARK-28691][EXAMPLES] Add Java/Scala DirectKerberizedKafkaWordCount examples

2019-08-15 Thread GitBox
hddong commented on a change in pull request #25412: [SPARK-28691][EXAMPLES] 
Add Java/Scala DirectKerberizedKafkaWordCount examples
URL: https://github.com/apache/spark/pull/25412#discussion_r314570912
 
 

 ##
 File path: 
examples/src/main/java/org/apache/spark/examples/streaming/JavaDirectKerberizedKafkaWordCount.java
 ##
 @@ -0,0 +1,118 @@
+/*
+ * 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.examples.streaming;
+
+import java.util.HashMap;
+import java.util.HashSet;
+import java.util.Arrays;
+import java.util.Map;
+import java.util.Set;
+import java.util.regex.Pattern;
+
+import scala.Tuple2;
+
+import org.apache.kafka.clients.CommonClientConfigs;
+import org.apache.kafka.common.security.auth.SecurityProtocol;
+import org.apache.kafka.clients.consumer.ConsumerConfig;
+import org.apache.kafka.clients.consumer.ConsumerRecord;
+import org.apache.kafka.common.serialization.StringDeserializer;
+
+import org.apache.spark.SparkConf;
+import org.apache.spark.streaming.api.java.*;
+import org.apache.spark.streaming.kafka010.ConsumerStrategies;
+import org.apache.spark.streaming.kafka010.KafkaUtils;
+import org.apache.spark.streaming.kafka010.LocationStrategies;
+import org.apache.spark.streaming.Durations;
+
+/**
+ * Consumes messages from one or more topics in Kafka and does wordcount.
+ * Usage: JavaDirectKerberizedKafkaWordCount   
+ *is a list of one or more Kafka brokers
+ *is a consumer group name to consume from topics
+ *is a list of one or more kafka topics to consume from
+ *
+ * Example:
+ *$ bin/run-example --files ${path}/kafka_jaas.conf \
+ *  --driver-java-options 
"-Djava.security.auth.login.config=${path}/kafka_jaas.conf" \
+ *  --conf \
+ *  
"spark.executor.extraJavaOptions=-Djava.security.auth.login.config=./kafka_jaas.conf"
 \
+ *  streaming.JavaDirectKerberizedKafkaWordCount 
broker1-host:port,broker2-host:port \
+ *  consumer-group topic1,topic2
+ *
+ * kafka_jaas.conf can manually create, template as:
+ *   KafkaClient {
+ * com.sun.security.auth.module.Krb5LoginModule required
+ * keyTab="${path_of_keytab}/kafka.service.keytab"
 
 Review comment:
   @gaborgsomogyi you are right, in my environment, keytab in same path of each 
node. I think we can two jaas file:
   for driver `keyTab="${path_of_keytab}/kafka.service.keytab"`
   for executor `keyTab="./kafka.service.keytab"`
   and run-example as:
   `bin/run-example --files` 
`${path}/kafka_executor_jaas.conf,${kyetab_path}/kafka.service.keytab \`
` --driver-java-options 
"-Djava.security.auth.login.config=${path}/kafka_driver_jaas.conf" \`
` --conf \`
 
`"spark.executor.extraJavaOptions=-Djava.security.auth.login.config=./kafka_executor_jaas.conf"
 \`
`streaming.JavaDirectKerberizedKafkaWordCount 
broker1-host:port,broker2-host:port \`
` consumer-group topic1,topic2`
   Do you have any succinct advice?


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[GitHub] [spark] HyukjinKwon commented on issue #25458: [SPARK-27931][SQL] Accept 'on' and 'off' as input and trim input for the boolean data type.

2019-08-15 Thread GitBox
HyukjinKwon commented on issue #25458: [SPARK-27931][SQL] Accept 'on' and 'off' 
as input and trim input for the boolean data type.
URL: https://github.com/apache/spark/pull/25458#issuecomment-521869683
 
 
   cc @dongjoon-hyun and @cloud-fan as well.


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[GitHub] [spark] SparkQA commented on issue #25471: [SPARK-28753][SQL] Dynamically reuse subqueries in AQE

2019-08-15 Thread GitBox
SparkQA commented on issue #25471: [SPARK-28753][SQL] Dynamically reuse 
subqueries in AQE
URL: https://github.com/apache/spark/pull/25471#issuecomment-521874340
 
 
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[GitHub] [spark] dilipbiswal commented on a change in pull request #24759: [SPARK-27395][SQL][WIP] Improve EXPLAIN command

2019-08-15 Thread GitBox
dilipbiswal commented on a change in pull request #24759: 
[SPARK-27395][SQL][WIP] Improve EXPLAIN command
URL: https://github.com/apache/spark/pull/24759#discussion_r314576051
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala
 ##
 @@ -539,24 +544,27 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]] 
extends Product {
   override def toString: String = treeString
 
   /** Returns a string representation of the nodes in this tree */
+  // final def treeString: String = treeString(verbose = true)
+
   final def treeString: String = treeString(verbose = true)
 
   final def treeString(
-  verbose: Boolean,
-  addSuffix: Boolean = false,
-  maxFields: Int = SQLConf.get.maxToStringFields): String = {
+verbose: Boolean,
 
 Review comment:
   @cloud-fan Will fix.


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[GitHub] [spark] SparkQA removed a comment on issue #25471: [SPARK-28753][SQL] Dynamically reuse subqueries in AQE

2019-08-15 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #24903: [SPARK-28084][SQL] Resolving the partition column name based on the resolver in sql load command

2019-08-15 Thread GitBox
AmplabJenkins commented on issue #24903: [SPARK-28084][SQL] Resolving the 
partition column name based on the resolver in sql load command 
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[GitHub] [spark] AmplabJenkins commented on issue #24903: [SPARK-28084][SQL] Resolving the partition column name based on the resolver in sql load command

2019-08-15 Thread GitBox
AmplabJenkins commented on issue #24903: [SPARK-28084][SQL] Resolving the 
partition column name based on the resolver in sql load command 
URL: https://github.com/apache/spark/pull/24903#issuecomment-521880464
 
 
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[GitHub] [spark] SparkQA commented on issue #24903: [SPARK-28084][SQL] Resolving the partition column name based on the resolver in sql load command

2019-08-15 Thread GitBox
SparkQA commented on issue #24903: [SPARK-28084][SQL] Resolving the partition 
column name based on the resolver in sql load command 
URL: https://github.com/apache/spark/pull/24903#issuecomment-521880352
 
 
   **[Test build #109176 has 
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 for PR 24903 at commit 
[`c503f5d`](https://github.com/apache/spark/commit/c503f5d419323a16442f313857b030d49f28995b).
* 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 #25410: [SPARK-28690][SQL] Add `date_part` function for timestamps/dates

2019-08-15 Thread GitBox
maropu commented on a change in pull request #25410: [SPARK-28690][SQL] Add 
`date_part` function for timestamps/dates
URL: https://github.com/apache/spark/pull/25410#discussion_r314579663
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala
 ##
 @@ -1409,48 +1409,7 @@ class AstBuilder(conf: SQLConf) extends 
SqlBaseBaseVisitor[AnyRef] with Logging
* Create a Extract expression.
*/
   override def visitExtract(ctx: ExtractContext): Expression = withOrigin(ctx) 
{
-ctx.field.getText.toUpperCase(Locale.ROOT) match {
-  case "MILLENNIUM" | "MILLENNIA" | "MIL" | "MILS" =>
-Millennium(expression(ctx.source))
-  case "CENTURY" | "CENTURIES" | "C" | "CENT" =>
-Century(expression(ctx.source))
-  case "DECADE" | "DECADES" | "DEC" | "DECS" =>
-Decade(expression(ctx.source))
-  case "YEAR" | "Y" | "YEARS" | "YR" | "YRS" =>
-Year(expression(ctx.source))
-  case "ISOYEAR" =>
-IsoYear(expression(ctx.source))
-  case "QUARTER" | "QTR" =>
-Quarter(expression(ctx.source))
-  case "MONTH" | "MON" | "MONS" | "MONTHS" =>
-Month(expression(ctx.source))
-  case "WEEK" | "W" | "WEEKS" =>
-WeekOfYear(expression(ctx.source))
-  case "DAY" | "D" | "DAYS" =>
-DayOfMonth(expression(ctx.source))
-  case "DAYOFWEEK" =>
-DayOfWeek(expression(ctx.source))
-  case "DOW" =>
-Subtract(DayOfWeek(expression(ctx.source)), Literal(1))
-  case "ISODOW" =>
-Add(WeekDay(expression(ctx.source)), Literal(1))
-  case "DOY" =>
-DayOfYear(expression(ctx.source))
-  case "HOUR" | "H" | "HOURS" | "HR" | "HRS" =>
-Hour(expression(ctx.source))
-  case "MINUTE" | "M" | "MIN" | "MINS" | "MINUTES" =>
-Minute(expression(ctx.source))
-  case "SECOND" | "S" | "SEC" | "SECONDS" | "SECS" =>
-Second(expression(ctx.source))
-  case "MILLISECONDS" | "MSEC" | "MSECS" | "MILLISECON" | "MSECONDS" | 
"MS" =>
-Milliseconds(expression(ctx.source))
-  case "MICROSECONDS" | "USEC" | "USECS" | "USECONDS" | "MICROSECON" | 
"US" =>
-Microseconds(expression(ctx.source))
-  case "EPOCH" =>
-Epoch(expression(ctx.source))
-  case other =>
-throw new ParseException(s"Literals of type '$other' are currently not 
supported.", ctx)
 
 Review comment:
   The exception changed from `ParseException` to `AnalysisException`? Can we 
keep the current behaviour?


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[GitHub] [spark] shahidki31 commented on a change in pull request #25460: [SPARK-25474][SQL][FOLLOW-UP] fallback to hdfs when relation table stats is not available

2019-08-15 Thread GitBox
shahidki31 commented on a change in pull request #25460: 
[SPARK-25474][SQL][FOLLOW-UP] fallback to hdfs when relation table stats is not 
available
URL: https://github.com/apache/spark/pull/25460#discussion_r314577254
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/HadoopFsRelation.scala
 ##
 @@ -72,7 +72,8 @@ case class HadoopFsRelation(
 val compressionFactor = sqlContext.conf.fileCompressionFactor
 val defaultSize = (location.sizeInBytes * compressionFactor).toLong
 location match {
-  case cfi: CatalogFileIndex if 
sparkSession.sessionState.conf.fallBackToHdfsForStatsEnabled =>
+  case cfi: CatalogFileIndex if 
sparkSession.sessionState.conf.fallBackToHdfsForStatsEnabled
+&& defaultSize == sqlContext.conf.defaultSizeInBytes =>
 
 Review comment:
   If the table statistics is available here,
   
https://github.com/apache/spark/blob/0ea8db9fd3d882140d8fa305dd69fc94db62cf8f/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala#L387-L390,
   
   Then it should be available here too right?
   
https://github.com/apache/spark/blob/0ea8db9fd3d882140d8fa305dd69fc94db62cf8f/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/LogicalRelation.scala#L43-L45
   
   So, ideally the flow shouldn't come to the fallback logic, if the table 
statistics already exists. That is why even after #24715, 
`location.sizeInBytes` is 8.0EB
   
   @cloud-fan Could you please give a reproducible test, where the issue can 
happen?


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25299: [SPARK-27651][Core] Avoid the network when shuffle blocks are fetched from the same host

2019-08-15 Thread GitBox
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25299: [SPARK-27651][Core] Avoid the network when shuffle blocks are fetched from the same host

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[GitHub] [spark] AmplabJenkins commented on issue #25463: [SPARK-28744][SQL][TEST] rename SharedSQLContext to SharedSparkSession

2019-08-15 Thread GitBox
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[GitHub] [spark] SparkQA removed a comment on issue #25463: [SPARK-28744][SQL][TEST] rename SharedSQLContext to SharedSparkSession

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[GitHub] [spark] SparkQA commented on issue #25463: [SPARK-28744][SQL][TEST] rename SharedSQLContext to SharedSparkSession

2019-08-15 Thread GitBox
SparkQA commented on issue #25463: [SPARK-28744][SQL][TEST] rename 
SharedSQLContext to SharedSparkSession
URL: https://github.com/apache/spark/pull/25463#issuecomment-521884185
 
 
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* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
 * `abstract class DockerJDBCIntegrationSuite extends SharedSparkSession 
with Eventually `
 * `class OracleIntegrationSuite extends DockerJDBCIntegrationSuite with 
SharedSparkSession `
 * `class OrcFilterSuite extends OrcTest with SharedSparkSession `


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[GitHub] [spark] maropu commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For nettyBlockTransferService, if IOException occurred while create client, check whether relative executor is alive

2019-08-15 Thread GitBox
maropu commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For 
nettyBlockTransferService, if IOException occurred while create client, check 
whether relative executor is alive before retry #24533
URL: https://github.com/apache/spark/pull/25469#issuecomment-521885185
 
 
   retest this please


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[GitHub] [spark] SparkQA removed a comment on issue #25463: [SPARK-28744][SQL][TEST] rename SharedSQLContext to SharedSparkSession

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25368: [SPARK-28635][SQL] create CatalogManager to track registered v2 catalogs

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[GitHub] [spark] SparkQA removed a comment on issue #25368: [SPARK-28635][SQL] create CatalogManager to track registered v2 catalogs

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[GitHub] [spark] SparkQA commented on issue #25463: [SPARK-28744][SQL][TEST] rename SharedSQLContext to SharedSparkSession

2019-08-15 Thread GitBox
SparkQA commented on issue #25463: [SPARK-28744][SQL][TEST] rename 
SharedSQLContext to SharedSparkSession
URL: https://github.com/apache/spark/pull/25463#issuecomment-521885268
 
 
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* This patch merges cleanly.
* This patch adds the following public classes _(experimental)_:
 * `abstract class DockerJDBCIntegrationSuite extends SharedSparkSession 
with Eventually `
 * `class OracleIntegrationSuite extends DockerJDBCIntegrationSuite with 
SharedSparkSession `
 * `class OrcFilterSuite extends OrcTest with SharedSparkSession `


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25368: [SPARK-28635][SQL] create CatalogManager to track registered v2 catalogs

2019-08-15 Thread GitBox
AmplabJenkins removed a comment on issue #25368: [SPARK-28635][SQL] create 
CatalogManager to track registered v2 catalogs
URL: https://github.com/apache/spark/pull/25368#issuecomment-521885162
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25423: [SPARK-28701][test-java11][k8s] adding java11 support for pull request builds

2019-08-15 Thread GitBox
AmplabJenkins removed a comment on issue #25423: 
[SPARK-28701][test-java11][k8s] adding java11 support for pull request builds
URL: https://github.com/apache/spark/pull/25423#issuecomment-521884974
 
 
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[GitHub] [spark] maropu commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For nettyBlockTransferService, if IOException occurred while create client, check whether relative executor is alive

2019-08-15 Thread GitBox
maropu commented on issue #25469: [SPARK-27637][Shuffle][FLLOW-UP]For 
nettyBlockTransferService, if IOException occurred while create client, check 
whether relative executor is alive before retry #24533
URL: https://github.com/apache/spark/pull/25469#issuecomment-521885308
 
 
   @AngersZh ok, the other prs hit the same errors, so they are not related 
to this pr.


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[GitHub] [spark] wangyum commented on a change in pull request #25460: [SPARK-25474][SQL][FOLLOW-UP] fallback to hdfs when relation table stats is not available

2019-08-15 Thread GitBox
wangyum commented on a change in pull request #25460: 
[SPARK-25474][SQL][FOLLOW-UP] fallback to hdfs when relation table stats is not 
available
URL: https://github.com/apache/spark/pull/25460#discussion_r314552128
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/HadoopFsRelation.scala
 ##
 @@ -72,7 +72,8 @@ case class HadoopFsRelation(
 val compressionFactor = sqlContext.conf.fileCompressionFactor
 val defaultSize = (location.sizeInBytes * compressionFactor).toLong
 location match {
-  case cfi: CatalogFileIndex if 
sparkSession.sessionState.conf.fallBackToHdfsForStatsEnabled =>
+  case cfi: CatalogFileIndex if 
sparkSession.sessionState.conf.fallBackToHdfsForStatsEnabled
+&& defaultSize == sqlContext.conf.defaultSizeInBytes =>
 
 Review comment:
   We can avoid this when constructing this `CatalogFileIndex`:
   
https://github.com/apache/spark/blob/c30b5297bc607ae33cc2fcf624b127942154e559/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala#L383-L387


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[GitHub] [spark] HyukjinKwon commented on issue #25423: [SPARK-28701][test-java11][k8s] adding java11 support for pull request builds

2019-08-15 Thread GitBox
HyukjinKwon commented on issue #25423: [SPARK-28701][test-java11][k8s] adding 
java11 support for pull request builds
URL: https://github.com/apache/spark/pull/25423#issuecomment-521850418
 
 
   Given 
https://issues.apache.org/jira/browse/SPARK-28750?focusedCommentId=16908587=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16908587,
 shall we go with build with Java 8 & test with Java 11 for now?


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[GitHub] [spark] cloud-fan commented on issue #25463: [SPARK-28744][SQL][TEST] rename SharedSQLContext to SharedSparkSession

2019-08-15 Thread GitBox
cloud-fan commented on issue #25463: [SPARK-28744][SQL][TEST] rename 
SharedSQLContext to SharedSparkSession
URL: https://github.com/apache/spark/pull/25463#issuecomment-521851980
 
 
   ok to test


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[GitHub] [spark] cloud-fan commented on issue #25463: [SPARK-28744][SQL][TEST] rename SharedSQLContext to SharedSparkSession

2019-08-15 Thread GitBox
cloud-fan commented on issue #25463: [SPARK-28744][SQL][TEST] rename 
SharedSQLContext to SharedSparkSession
URL: https://github.com/apache/spark/pull/25463#issuecomment-521856533
 
 
   retest this please


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25467: [SPARK-28634][yarn] Ignore kerberos login config in client mode AM.

2019-08-15 Thread GitBox
AmplabJenkins removed a comment on issue #25467: [SPARK-28634][yarn] Ignore 
kerberos login config in client mode AM.
URL: https://github.com/apache/spark/pull/25467#issuecomment-521856005
 
 
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[GitHub] [spark] SparkQA commented on issue #25403: [SPARK-28679][YARN] changes to setResourceInformation to handle empty resources and reflection error handling

2019-08-15 Thread GitBox
SparkQA commented on issue #25403: [SPARK-28679][YARN] changes to 
setResourceInformation to handle empty resources and reflection error handling
URL: https://github.com/apache/spark/pull/25403#issuecomment-521857488
 
 
   **[Test build #109165 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/109165/testReport)**
 for PR 25403 at commit 
[`cfec179`](https://github.com/apache/spark/commit/cfec1798c134fc132be88ce693230b0a61c45bee).


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