[GitHub] [spark] SparkQA commented on issue #27943: [SPARK-31179] Fast fail the connection while last connection failed in fast fail time window

2020-03-25 Thread GitBox
SparkQA commented on issue #27943: [SPARK-31179] Fast fail the connection while 
last connection failed in fast fail time window
URL: https://github.com/apache/spark/pull/27943#issuecomment-604245789
 
 
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 for PR 27943 at commit 
[`3ef1612`](https://github.com/apache/spark/commit/3ef16128e6ea095faa3a0cdabccfc7bc66dc7f7c).
* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #28031: [SPARK-30934][ML][FOLLOW-UP] Update ml-guide to include MulticlassClassificationEvaluator weight support in highlights

2020-03-25 Thread GitBox
AmplabJenkins removed a comment on issue #28031: [SPARK-30934][ML][FOLLOW-UP] 
Update ml-guide to include MulticlassClassificationEvaluator weight support in 
highlights
URL: https://github.com/apache/spark/pull/28031#issuecomment-604245612
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #28031: [SPARK-30934][ML][FOLLOW-UP] Update ml-guide to include MulticlassClassificationEvaluator weight support in highlights

2020-03-25 Thread GitBox
AmplabJenkins removed a comment on issue #28031: [SPARK-30934][ML][FOLLOW-UP] 
Update ml-guide to include MulticlassClassificationEvaluator weight support in 
highlights
URL: https://github.com/apache/spark/pull/28031#issuecomment-604245617
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #28031: [SPARK-30934][ML][FOLLOW-UP] Update ml-guide to include MulticlassClassificationEvaluator weight support in highlights

2020-03-25 Thread GitBox
AmplabJenkins commented on issue #28031: [SPARK-30934][ML][FOLLOW-UP] Update 
ml-guide to include MulticlassClassificationEvaluator weight support in 
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URL: https://github.com/apache/spark/pull/28031#issuecomment-604245617
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #28031: [SPARK-30934][ML][FOLLOW-UP] Update ml-guide to include MulticlassClassificationEvaluator weight support in highlights

2020-03-25 Thread GitBox
AmplabJenkins commented on issue #28031: [SPARK-30934][ML][FOLLOW-UP] Update 
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[GitHub] [spark] SparkQA commented on issue #28031: [SPARK-30934][ML][FOLLOW-UP] Update ml-guide to include MulticlassClassificationEvaluator weight support in highlights

2020-03-25 Thread GitBox
SparkQA commented on issue #28031: [SPARK-30934][ML][FOLLOW-UP] Update ml-guide 
to include MulticlassClassificationEvaluator weight support in highlights
URL: https://github.com/apache/spark/pull/28031#issuecomment-604245289
 
 
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[GitHub] [spark] zhengruifeng commented on issue #27994: [SPARK-31223][ML] Set seed in np.random to regenerate test data

2020-03-25 Thread GitBox
zhengruifeng commented on issue #27994: [SPARK-31223][ML] Set seed in np.random 
to regenerate test data
URL: https://github.com/apache/spark/pull/27994#issuecomment-604244459
 
 
   Merged to master


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[GitHub] [spark] huaxingao opened a new pull request #28031: [SPARK-30934][ML][FOLLOW-UP] Update ml-guide to include MulticlassClassificationEvaluator weight support in highlights

2020-03-25 Thread GitBox
huaxingao opened a new pull request #28031: [SPARK-30934][ML][FOLLOW-UP] Update 
ml-guide to include MulticlassClassificationEvaluator weight support in 
highlights
URL: https://github.com/apache/spark/pull/28031
 
 
   
   
   ### What changes were proposed in this pull request?
   Update ml-guide to include ```MulticlassClassificationEvaluator``` weight 
support in highlights
   
   
   ### Why are the changes needed?
   ```MulticlassClassificationEvaluator``` weight support is very important, so 
should include it in highlights
   
   
   ### Does this PR introduce any user-facing change?
   Yes
   
   after: 
   
![image](https://user-images.githubusercontent.com/13592258/77614952-6ccd8680-6eeb-11ea-9354-fa20004132df.png)
   
   
   
   
   ### How was this patch tested?
   manually build and check
   


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[GitHub] [spark] zhengruifeng closed pull request #27994: [SPARK-31223][ML] Set seed in np.random to regenerate test data

2020-03-25 Thread GitBox
zhengruifeng closed pull request #27994: [SPARK-31223][ML] Set seed in 
np.random to regenerate test data
URL: https://github.com/apache/spark/pull/27994
 
 
   


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[GitHub] [spark] MaxGekk commented on a change in pull request #28016: [SPARK-31238][SQL][test-hive1.2] Rebase dates to/from Julian calendar in write/read for ORC datasource

2020-03-25 Thread GitBox
MaxGekk commented on a change in pull request #28016: 
[SPARK-31238][SQL][test-hive1.2] Rebase dates to/from Julian calendar in 
write/read for ORC datasource
URL: https://github.com/apache/spark/pull/28016#discussion_r398331763
 
 

 ##
 File path: 
sql/core/v1.2/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVector.java
 ##
 @@ -42,6 +43,7 @@
   private DecimalColumnVector decimalData;
   private TimestampColumnVector timestampData;
 
 Review comment:
   Yes, it does, but:
   1. `DateColumnVector` doesn't have a method similar to `asScratchTimestamp` 
in `TimestampColumnVector`
   2. We don't need to build `java.sql.Date` from serialized days to perform 
rebasing. It is unnecessary overhead.


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[GitHub] [spark] cloud-fan commented on issue #28003: [SPARK-31234][SQL] ResetCommand should reset config to sc.conf only

2020-03-25 Thread GitBox
cloud-fan commented on issue #28003: [SPARK-31234][SQL] ResetCommand should 
reset config to sc.conf only
URL: https://github.com/apache/spark/pull/28003#issuecomment-604243019
 
 
   I think this is clearly a bug. If users set a static SQL config in the 
config file, this should not be affected by SET or  RESET.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27588: [BACKPORT] Backport of [SPARK-20628][CORE][K8S] Start to improve decommissioning

2020-03-25 Thread GitBox
AmplabJenkins removed a comment on issue #27588: [BACKPORT] Backport of 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27588: [BACKPORT] Backport of [SPARK-20628][CORE][K8S] Start to improve decommissioning

2020-03-25 Thread GitBox
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[GitHub] [spark] SparkQA commented on issue #27588: [BACKPORT] Backport of [SPARK-20628][CORE][K8S] Start to improve decommissioning

2020-03-25 Thread GitBox
SparkQA commented on issue #27588: [BACKPORT] Backport of 
[SPARK-20628][CORE][K8S] Start to improve decommissioning
URL: https://github.com/apache/spark/pull/27588#issuecomment-604242105
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #28025: [SPARK-31186][PySpark][SQL] toPandas should not fail on duplicate column names

2020-03-25 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #27588: [BACKPORT] Backport of [SPARK-20628][CORE][K8S] Start to improve decommissioning

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[GitHub] [spark] AmplabJenkins commented on issue #28025: [SPARK-31186][PySpark][SQL] toPandas should not fail on duplicate column names

2020-03-25 Thread GitBox
AmplabJenkins commented on issue #28025: [SPARK-31186][PySpark][SQL] toPandas 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #28025: [SPARK-31186][PySpark][SQL] toPandas should not fail on duplicate column names

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[GitHub] [spark] AmplabJenkins commented on issue #28025: [SPARK-31186][PySpark][SQL] toPandas should not fail on duplicate column names

2020-03-25 Thread GitBox
AmplabJenkins commented on issue #28025: [SPARK-31186][PySpark][SQL] toPandas 
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[GitHub] [spark] SparkQA commented on issue #28025: [SPARK-31186][PySpark][SQL] toPandas should not fail on duplicate column names

2020-03-25 Thread GitBox
SparkQA commented on issue #28025: [SPARK-31186][PySpark][SQL] toPandas should 
not fail on duplicate column names
URL: https://github.com/apache/spark/pull/28025#issuecomment-604241644
 
 
   **[Test build #120394 has 
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[`536107e`](https://github.com/apache/spark/commit/536107e98fa9b1f2d838b704064d20439f60ac61).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] SparkQA removed a comment on issue #28025: [SPARK-31186][PySpark][SQL] toPandas should not fail on duplicate column names

2020-03-25 Thread GitBox
SparkQA removed a comment on issue #28025: [SPARK-31186][PySpark][SQL] toPandas 
should not fail on duplicate column names
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[GitHub] [spark] cloud-fan commented on a change in pull request #28016: [SPARK-31238][SQL][test-hive1.2] Rebase dates to/from Julian calendar in write/read for ORC datasource

2020-03-25 Thread GitBox
cloud-fan commented on a change in pull request #28016: 
[SPARK-31238][SQL][test-hive1.2] Rebase dates to/from Julian calendar in 
write/read for ORC datasource
URL: https://github.com/apache/spark/pull/28016#discussion_r398329582
 
 

 ##
 File path: 
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveInspectors.scala
 ##
 @@ -32,6 +32,7 @@ import org.apache.spark.sql.AnalysisException
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.util._
+import org.apache.spark.sql.execution.datasources.DaysWritable
 
 Review comment:
   unnecessary change


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[GitHub] [spark] cloud-fan commented on a change in pull request #28016: [SPARK-31238][SQL][test-hive1.2] Rebase dates to/from Julian calendar in write/read for ORC datasource

2020-03-25 Thread GitBox
cloud-fan commented on a change in pull request #28016: 
[SPARK-31238][SQL][test-hive1.2] Rebase dates to/from Julian calendar in 
write/read for ORC datasource
URL: https://github.com/apache/spark/pull/28016#discussion_r398329428
 
 

 ##
 File path: 
sql/core/v1.2/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVector.java
 ##
 @@ -42,6 +43,7 @@
   private DecimalColumnVector decimalData;
   private TimestampColumnVector timestampData;
 
 Review comment:
   does ORC have `DateColumnVector`?


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[GitHub] [spark] dongjoon-hyun commented on issue #25748: [SPARK-28904][K8S][TESTS] Create mount for PvTestSuite

2020-03-25 Thread GitBox
dongjoon-hyun commented on issue #25748: [SPARK-28904][K8S][TESTS] Create mount 
for PvTestSuite
URL: https://github.com/apache/spark/pull/25748#issuecomment-604241530
 
 
   Hi, @holdenk . If you are busy for now, shall we close this PR for now?
   ```
   - PVs with local storage *** FAILED ***
   ```


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[GitHub] [spark] cloud-fan commented on a change in pull request #28016: [SPARK-31238][SQL][test-hive1.2] Rebase dates to/from Julian calendar in write/read for ORC datasource

2020-03-25 Thread GitBox
cloud-fan commented on a change in pull request #28016: 
[SPARK-31238][SQL][test-hive1.2] Rebase dates to/from Julian calendar in 
write/read for ORC datasource
URL: https://github.com/apache/spark/pull/28016#discussion_r398329137
 
 

 ##
 File path: 
sql/core/v1.2/src/main/java/org/apache/spark/sql/execution/datasources/orc/OrcColumnVector.java
 ##
 @@ -130,7 +138,13 @@ public short getShort(int rowId) {
 
   @Override
   public int getInt(int rowId) {
-return (int) longData.vector[getRowIndex(rowId)];
+int index = getRowIndex(rowId);
+int value = (int) longData.vector[index];
 
 Review comment:
   nit: `int value = (int) longData.vector[getRowIndex(rowId)];`


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[GitHub] [spark] dongjoon-hyun commented on issue #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-25 Thread GitBox
dongjoon-hyun commented on issue #27665: [SPARK-30623][Core] Spark external 
shuffle allow disable of separate event loop group
URL: https://github.com/apache/spark/pull/27665#issuecomment-604240855
 
 
   BTW, @xuanyuanking .
   Could you confirm the above question?
   - https://github.com/apache/spark/pull/27665#discussion_r398328411


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[GitHub] [spark] SparkQA commented on issue #27695: [SPARK-30949][K8S][CORE] decouple requests and parallelism on kubernetes drivers

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URL: https://github.com/apache/spark/pull/27695#issuecomment-604240942
 
 
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[GitHub] [spark] SparkQA commented on issue #28028: [SPARK-31259][CORE] Fix log message about fetch request size in ShuffleBlockFetcherIterator

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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-25 Thread GitBox
dongjoon-hyun commented on a change in pull request #27665: [SPARK-30623][Core] 
Spark external shuffle allow disable of separate event loop group
URL: https://github.com/apache/spark/pull/27665#discussion_r398328411
 
 

 ##
 File path: 
common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
 ##
 @@ -339,12 +341,25 @@ public int chunkFetchHandlerThreads() {
   return 0;
 }
 int chunkFetchHandlerThreadsPercent =
-  conf.getInt("spark.shuffle.server.chunkFetchHandlerThreadsPercent", 100);
 
 Review comment:
   What do you mean by `the config must be set`, @xuanyuanking ? What value do 
you expect by default? Apparently, this seems to revert SPARK-25641 together 
without mentioning SPARK-25641. In the PR, only SPARK-24355 is mentioned.
   > No need to give a default value here, when it comes to here, the config 
must be set.
   


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[GitHub] [spark] jiangxb1987 commented on issue #28028: [SPARK-31259][CORE] Fix log message about fetch request size in ShuffleBlockFetcherIterator

2020-03-25 Thread GitBox
jiangxb1987 commented on issue #28028: [SPARK-31259][CORE] Fix log message 
about fetch request size in ShuffleBlockFetcherIterator
URL: https://github.com/apache/spark/pull/28028#issuecomment-604240551
 
 
   retest this please


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[GitHub] [spark] SparkQA commented on issue #25748: [SPARK-28904][K8S][TESTS] Create mount for PvTestSuite

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URL: https://github.com/apache/spark/pull/25748#issuecomment-604240705
 
 
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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-25 Thread GitBox
dongjoon-hyun commented on a change in pull request #27665: [SPARK-30623][Core] 
Spark external shuffle allow disable of separate event loop group
URL: https://github.com/apache/spark/pull/27665#discussion_r398328411
 
 

 ##
 File path: 
common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
 ##
 @@ -339,12 +341,25 @@ public int chunkFetchHandlerThreads() {
   return 0;
 }
 int chunkFetchHandlerThreadsPercent =
-  conf.getInt("spark.shuffle.server.chunkFetchHandlerThreadsPercent", 100);
 
 Review comment:
   What do you mean by `the config must be set`, @xuanyuanking ? What value do 
you expect by default? Apparently, this is reverting SPARK-25641 without 
mentioning SPARK-25641. In the PR, only SPARK-24355 is mentioned.
   > No need to give a default value here, when it comes to here, the config 
must be set.
   


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[GitHub] [spark] cloud-fan commented on a change in pull request #28016: [SPARK-31238][SQL][test-hive1.2] Rebase dates to/from Julian calendar in write/read for ORC datasource

2020-03-25 Thread GitBox
cloud-fan commented on a change in pull request #28016: 
[SPARK-31238][SQL][test-hive1.2] Rebase dates to/from Julian calendar in 
write/read for ORC datasource
URL: https://github.com/apache/spark/pull/28016#discussion_r398327978
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DaysWritable.scala
 ##
 @@ -35,11 +35,12 @@ import 
org.apache.spark.sql.catalyst.util.DateTimeUtils.{rebaseGregorianToJulian
  * @param julianDays The number of days since the epoch 1970-01-01 in
  *   Julian calendar.
  */
-private[hive] class DaysWritable(
+class DaysWritable(
 var gregorianDays: Int,
 var julianDays: Int)
   extends DateWritable {
 
 Review comment:
   We probably need to duplicate this class in v1.2 and v2.3 source code.


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[GitHub] [spark] jiangxb1987 commented on issue #27695: [SPARK-30949][K8S][CORE] decouple requests and parallelism on kubernetes drivers

2020-03-25 Thread GitBox
jiangxb1987 commented on issue #27695: [SPARK-30949][K8S][CORE] decouple 
requests and parallelism on kubernetes drivers
URL: https://github.com/apache/spark/pull/27695#issuecomment-604239855
 
 
   retest this please


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[GitHub] [spark] cloud-fan commented on issue #28001: [SPARK-31237][SQL][TESTS] Replace 3-letter time zones by zone offsets

2020-03-25 Thread GitBox
cloud-fan commented on issue #28001: [SPARK-31237][SQL][TESTS] Replace 3-letter 
time zones by zone offsets
URL: https://github.com/apache/spark/pull/28001#issuecomment-604239459
 
 
   thanks, merging to master/3.0!


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[GitHub] [spark] cloud-fan closed pull request #28001: [SPARK-31237][SQL][TESTS] Replace 3-letter time zones by zone offsets

2020-03-25 Thread GitBox
cloud-fan closed pull request #28001: [SPARK-31237][SQL][TESTS] Replace 
3-letter time zones by zone offsets
URL: https://github.com/apache/spark/pull/28001
 
 
   


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[GitHub] [spark] SparkQA commented on issue #27969: [SPARK-31170][SQL][test-hive1.2] Spark SQL Cli should respect hive-site.xml and spark.sql.warehouse.dir

2020-03-25 Thread GitBox
SparkQA commented on issue #27969: [SPARK-31170][SQL][test-hive1.2] Spark SQL 
Cli should respect hive-site.xml and spark.sql.warehouse.dir
URL: https://github.com/apache/spark/pull/27969#issuecomment-604238884
 
 
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[GitHub] [spark] SparkQA commented on issue #28028: [SPARK-31259][CORE] Fix log message about fetch request size in ShuffleBlockFetcherIterator

2020-03-25 Thread GitBox
SparkQA commented on issue #28028: [SPARK-31259][CORE] Fix log message about 
fetch request size in ShuffleBlockFetcherIterator
URL: https://github.com/apache/spark/pull/28028#issuecomment-604237833
 
 
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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] SparkQA removed a comment on issue #28028: [SPARK-31259][CORE] Fix log message about fetch request size in ShuffleBlockFetcherIterator

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[SPARK-31170][SQL][test-hive1.2] Spark SQL Cli should respect hive-site.xml and 
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[GitHub] [spark] SparkQA commented on issue #27969: [SPARK-31170][SQL][test-hive1.2] Spark SQL Cli should respect hive-site.xml and spark.sql.warehouse.dir

2020-03-25 Thread GitBox
SparkQA commented on issue #27969: [SPARK-31170][SQL][test-hive1.2] Spark SQL 
Cli should respect hive-site.xml and spark.sql.warehouse.dir
URL: https://github.com/apache/spark/pull/27969#issuecomment-604236864
 
 
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[GitHub] [spark] SparkQA commented on issue #25748: [SPARK-28904][K8S][TESTS] Create mount for PvTestSuite

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URL: https://github.com/apache/spark/pull/25748#issuecomment-604234836
 
 
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[GitHub] [spark] SparkQA commented on issue #27588: [BACKPORT] Backport of [SPARK-20628][CORE][K8S] Start to improve decommissioning

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SparkQA commented on issue #27588: [BACKPORT] Backport of 
[SPARK-20628][CORE][K8S] Start to improve decommissioning
URL: https://github.com/apache/spark/pull/27588#issuecomment-604234510
 
 
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[GitHub] [spark] ScrapCodes commented on a change in pull request #27966: [SPARK-31200][k8s] Switch https for debian mirrors, to avoid Mirror sync i…

2020-03-25 Thread GitBox
ScrapCodes commented on a change in pull request #27966: [SPARK-31200][k8s] 
Switch https for debian mirrors, to avoid Mirror sync i…
URL: https://github.com/apache/spark/pull/27966#discussion_r396935593
 
 

 ##
 File path: 
resource-managers/kubernetes/docker/src/main/dockerfiles/spark/sources.list
 ##
 @@ -0,0 +1,20 @@
+#
+# 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.
+#
+
+# This file is required for switching to https url based mirrors, See 
SPARK-31200, for more info.
+deb https://deb.debian.org/debian buster main
 
 Review comment:
   Not a dumb question, I should have mentioned it earlier. Yes, this was the 
one already being used. It is also suggested by 
https://www.debian.org/mirror/list , when the location is not known or this is 
the only official mirror with CDN support. 
   
   
   >If your system moves around a lot, you may be best served by a "mirror" 
that is backed by a global CDN. The Debian project maintains deb.debian.org for 
this purpose and you can use this in your apt sources.list — consult the 
service's website for details. 


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[GitHub] [spark] AmplabJenkins commented on issue #28025: [SPARK-31186][PySpark][SQL] toPandas should not fail on duplicate column names

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[GitHub] [spark] ScrapCodes commented on issue #27966: [SPARK-31200][k8s] Switch https for debian mirrors, to avoid Mirror sync i…

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ScrapCodes commented on issue #27966: [SPARK-31200][k8s] Switch https for 
debian mirrors, to avoid Mirror sync i…
URL: https://github.com/apache/spark/pull/27966#issuecomment-604231057
 
 
   Hi @srowen, gentle reminder!


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[GitHub] [spark] SparkQA commented on issue #28025: [SPARK-31186][PySpark][SQL] toPandas should not fail on duplicate column names

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SparkQA commented on issue #28025: [SPARK-31186][PySpark][SQL] toPandas should 
not fail on duplicate column names
URL: https://github.com/apache/spark/pull/28025#issuecomment-604230839
 
 
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[GitHub] [spark] dbtsai commented on a change in pull request #27728: [SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested Column Predicate Pushdown for Parquet

2020-03-25 Thread GitBox
dbtsai commented on a change in pull request #27728: 
[SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested 
Column Predicate Pushdown for Parquet
URL: https://github.com/apache/spark/pull/27728#discussion_r398318993
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
 ##
 @@ -103,22 +107,42 @@ abstract class ParquetFilterSuite extends QueryTest with 
ParquetTest with Shared
 checkFilterPredicate(predicate, filterClass, Seq(Row(expected)))(df)
   }
 
-  private def checkBinaryFilterPredicate
-  (predicate: Predicate, filterClass: Class[_ <: FilterPredicate], 
expected: Seq[Row])
-  (implicit df: DataFrame): Unit = {
-def checkBinaryAnswer(df: DataFrame, expected: Seq[Row]) = {
-  assertResult(expected.map(_.getAs[Array[Byte]](0).mkString(",")).sorted) 
{
-
df.rdd.map(_.getAs[Array[Byte]](0).mkString(",")).collect().toSeq.sorted
-  }
+  /**
+   * Takes single level `inputDF` dataframe to generate multi-level nested
+   * dataframes as new test data.
+   */
+  private def withNestedDataFrame(inputDF: DataFrame)
+  (runTests: (DataFrame, String, Any => Any) => Unit): Unit = {
+assert(inputDF.schema.fields.length == 1)
+assert(!inputDF.schema.fields.head.dataType.isInstanceOf[StructType])
 
 Review comment:
   @cloud-fan schema checking in the code to avoid passing any type of 
dataframe.


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[GitHub] [spark] dbtsai commented on a change in pull request #27728: [SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested Column Predicate Pushdown for Parquet

2020-03-25 Thread GitBox
dbtsai commented on a change in pull request #27728: 
[SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested 
Column Predicate Pushdown for Parquet
URL: https://github.com/apache/spark/pull/27728#discussion_r398310277
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
 ##
 @@ -121,43 +121,81 @@ abstract class ParquetFilterSuite extends QueryTest with 
ParquetTest with Shared
 checkBinaryFilterPredicate(predicate, filterClass, Seq(Row(expected)))(df)
   }
 
+  /**
+   * Takes single level `inputDF` dataframe to generate multi-level nested
+   * dataframes as new test data.
+   */
+  private def withNestedDataFrame(inputDF: DataFrame)
 
 Review comment:
   Okay, this is not easy since one of the test case is like
   ```scala
   val dataFrame = spark.createDataFrame(rdd, StructType.fromDDL(s"a 
decimal($precision, 2)"))
   withNestedDataFrame(dataFrame) { case (inputDF, pushDownColName, 
resultFun) =>
 withParquetDataFrame(inputDF) { implicit df =>
   val decimalAttr: Expression = df(pushDownColName).expr
   assert(df(pushDownColName).expr.dataType === 
DecimalType(precision, 2))
   ```
   , so the dataframe can not be constructed directly from 
`withNestedDataFrame[T](data: Seq[T])`


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[GitHub] [spark] dongjoon-hyun commented on issue #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-25 Thread GitBox
dongjoon-hyun commented on issue #27665: [SPARK-30623][Core] Spark external 
shuffle allow disable of separate event loop group
URL: https://github.com/apache/spark/pull/27665#issuecomment-604229321
 
 
   Thank you!


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[GitHub] [spark] dbtsai commented on a change in pull request #27728: [SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested Column Predicate Pushdown for Parquet

2020-03-25 Thread GitBox
dbtsai commented on a change in pull request #27728: 
[SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested 
Column Predicate Pushdown for Parquet
URL: https://github.com/apache/spark/pull/27728#discussion_r398317799
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
 ##
 @@ -103,22 +107,42 @@ abstract class ParquetFilterSuite extends QueryTest with 
ParquetTest with Shared
 checkFilterPredicate(predicate, filterClass, Seq(Row(expected)))(df)
   }
 
-  private def checkBinaryFilterPredicate
 
 Review comment:
   @cloud-fan 
   Since `checkFilterPredicate` works for binary data in the current 
implementation, `checkBinaryFilterPredicate` can be deleted.


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[GitHub] [spark] cloud-fan commented on issue #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-25 Thread GitBox
cloud-fan commented on issue #27665: [SPARK-30623][Core] Spark external shuffle 
allow disable of separate event loop group
URL: https://github.com/apache/spark/pull/27665#issuecomment-604228688
 
 
   it is now. merge script runs slowly at my sides...


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[GitHub] [spark] dongjoon-hyun commented on issue #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-25 Thread GitBox
dongjoon-hyun commented on issue #27665: [SPARK-30623][Core] Spark external 
shuffle allow disable of separate event loop group
URL: https://github.com/apache/spark/pull/27665#issuecomment-604227335
 
 
   Hi, @cloud-fan . This seems to be not in `branch-3.0` yet.


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[GitHub] [spark] SparkQA removed a comment on issue #25748: [SPARK-28904][K8S][TESTS] Create mount for PvTestSuite

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URL: https://github.com/apache/spark/pull/25748#issuecomment-604222600
 
 
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[GitHub] [spark] SparkQA commented on issue #25748: [SPARK-28904][K8S][TESTS] Create mount for PvTestSuite

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SparkQA commented on issue #25748: [SPARK-28904][K8S][TESTS] Create mount for 
PvTestSuite
URL: https://github.com/apache/spark/pull/25748#issuecomment-604226821
 
 
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[GitHub] [spark] dbtsai commented on a change in pull request #27728: [SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested Column Predicate Pushdown for Parquet

2020-03-25 Thread GitBox
dbtsai commented on a change in pull request #27728: 
[SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested 
Column Predicate Pushdown for Parquet
URL: https://github.com/apache/spark/pull/27728#discussion_r398314267
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
 ##
 @@ -2049,6 +2049,17 @@ object SQLConf {
   .booleanConf
   .createWithDefault(true)
 
+  val NESTED_PREDICATE_PUSHDOWN_ENABLED =
+buildConf("spark.sql.optimizer.nestedPredicatePushdown.enabled")
+  .internal()
+  .doc("When true, Spark tries to push down predicates for nested columns 
and or names " +
+"containing `dots` to data sources. Currently, Parquet implements both 
optimizations " +
+"while ORC only supports predicates for names containing `dots`. The 
other data sources" +
+"don't support this feature yet.")
+  .version("3.0.0")
+  .booleanConf
+  .createWithDefault(true)
 
 Review comment:
   Since the filter apis will be enhanced to support nested columns and column 
name containing `dots`, it will be nice to introduce it in a major release. 
   
   It's a good idea! We can make another PR to turn this feature on for 
specific data sources in a separate PR. This PR already grows too big.
   
   Thanks!


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[GitHub] [spark] AmplabJenkins commented on issue #27728: [SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested Column Predicate Pushdown for Parquet

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[GitHub] [spark] AmplabJenkins commented on issue #27969: [SPARK-31170][SQL][test-hive1.2] Spark SQL Cli should respect hive-site.xml and spark.sql.warehouse.dir

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[GitHub] [spark] cloud-fan closed pull request #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

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cloud-fan closed pull request #27665: [SPARK-30623][Core] Spark external 
shuffle allow disable of separate event loop group
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[GitHub] [spark] SparkQA removed a comment on issue #27969: [SPARK-31170][SQL][test-hive1.2] Spark SQL Cli should respect hive-site.xml and spark.sql.warehouse.dir

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[GitHub] [spark] SparkQA commented on issue #27728: [SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested Column Predicate Pushdown for Parquet

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[GitHub] [spark] SparkQA commented on issue #27969: [SPARK-31170][SQL][test-hive1.2] Spark SQL Cli should respect hive-site.xml and spark.sql.warehouse.dir

2020-03-25 Thread GitBox
SparkQA commented on issue #27969: [SPARK-31170][SQL][test-hive1.2] Spark SQL 
Cli should respect hive-site.xml and spark.sql.warehouse.dir
URL: https://github.com/apache/spark/pull/27969#issuecomment-604223996
 
 
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[GitHub] [spark] dbtsai commented on a change in pull request #27728: [SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested Column Predicate Pushdown for Parquet

2020-03-25 Thread GitBox
dbtsai commented on a change in pull request #27728: 
[SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested 
Column Predicate Pushdown for Parquet
URL: https://github.com/apache/spark/pull/27728#discussion_r398312781
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
 ##
 @@ -121,43 +121,81 @@ abstract class ParquetFilterSuite extends QueryTest with 
ParquetTest with Shared
 checkBinaryFilterPredicate(predicate, filterClass, Seq(Row(expected)))(df)
   }
 
+  /**
+   * Takes single level `inputDF` dataframe to generate multi-level nested
+   * dataframes as new test data.
+   */
+  private def withNestedDataFrame(inputDF: DataFrame)
 
 Review comment:
   Instead, I add schema checking in the code.


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[GitHub] [spark] turboFei commented on issue #28030: [SPARK-31263][SHUFFLE] Enable yarn shuffle service to close the idle connections

2020-03-25 Thread GitBox
turboFei commented on issue #28030: [SPARK-31263][SHUFFLE] Enable yarn shuffle 
service to close the idle connections
URL: https://github.com/apache/spark/pull/28030#issuecomment-604223347
 
 
   cc @Ngone51 


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[GitHub] [spark] turboFei edited a comment on issue #28030: [SPARK-31263][SHUFFLE] Enable yarn shuffle service to close the idle connections

2020-03-25 Thread GitBox
turboFei edited a comment on issue #28030: [SPARK-31263][SHUFFLE] Enable yarn 
shuffle service to close the idle connections
URL: https://github.com/apache/spark/pull/28030#issuecomment-604220710
 
 
   just keep consistent with:
   
https://github.com/apache/spark/blob/b024a8a69e4ae45c6ded3dd3f9f27e73a0069891/core/src/main/scala/org/apache/spark/deploy/ExternalShuffleService.scala#L107


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[GitHub] [spark] SparkQA commented on issue #25748: [SPARK-28904][K8S][TESTS] Create mount for PvTestSuite

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URL: https://github.com/apache/spark/pull/25748#issuecomment-604222600
 
 
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[GitHub] [spark] SparkQA commented on issue #27588: [BACKPORT] Backport of [SPARK-20628][CORE][K8S] Start to improve decommissioning

2020-03-25 Thread GitBox
SparkQA commented on issue #27588: [BACKPORT] Backport of 
[SPARK-20628][CORE][K8S] Start to improve decommissioning
URL: https://github.com/apache/spark/pull/27588#issuecomment-604222537
 
 
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[GitHub] [spark] dongjoon-hyun commented on issue #27588: [BACKPORT] Backport of [SPARK-20628][CORE][K8S] Start to improve decommissioning

2020-03-25 Thread GitBox
dongjoon-hyun commented on issue #27588: [BACKPORT] Backport of 
[SPARK-20628][CORE][K8S] Start to improve decommissioning
URL: https://github.com/apache/spark/pull/27588#issuecomment-604221764
 
 
   Retest this please


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[GitHub] [spark] dongjoon-hyun commented on issue #25748: [SPARK-28904][K8S][TESTS] Create mount for PvTestSuite

2020-03-25 Thread GitBox
dongjoon-hyun commented on issue #25748: [SPARK-28904][K8S][TESTS] Create mount 
for PvTestSuite
URL: https://github.com/apache/spark/pull/25748#issuecomment-604221645
 
 
   Retest this please.


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[GitHub] [spark] dbtsai commented on a change in pull request #27728: [SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested Column Predicate Pushdown for Parquet

2020-03-25 Thread GitBox
dbtsai commented on a change in pull request #27728: 
[SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested 
Column Predicate Pushdown for Parquet
URL: https://github.com/apache/spark/pull/27728#discussion_r398310277
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
 ##
 @@ -121,43 +121,81 @@ abstract class ParquetFilterSuite extends QueryTest with 
ParquetTest with Shared
 checkBinaryFilterPredicate(predicate, filterClass, Seq(Row(expected)))(df)
   }
 
+  /**
+   * Takes single level `inputDF` dataframe to generate multi-level nested
+   * dataframes as new test data.
+   */
+  private def withNestedDataFrame(inputDF: DataFrame)
 
 Review comment:
   Okay, this is not easy since one of the test case is like
   ```scala
   val dataFrame = spark.createDataFrame(rdd, StructType.fromDDL(s"a 
decimal($precision, 2)"))
   withNestedDataFrame(dataFrame) { case (inputDF, pushDownColName, 
resultFun) =>
 withParquetDataFrame(inputDF) { implicit df =>
   val decimalAttr: Expression = df(pushDownColName).expr
   assert(df(pushDownColName).expr.dataType === 
DecimalType(precision, 2))
   ```
   , and the dataframe can not be constructed directly from 
`withNestedDataFrame[T](data: Seq[T])`


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