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[GitHub] [spark] SparkQA commented on pull request #28596: [SPARK-31784][CORE][TEST] Fix test BarrierTaskContextSuite."share messages with allGather() call"

2020-05-21 Thread GitBox


SparkQA commented on pull request #28596:
URL: https://github.com/apache/spark/pull/28596#issuecomment-632497810


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* This patch passes all tests.
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[GitHub] [spark] GuoPhilipse commented on pull request #28605: [SPARK-31790][DOCS] cast(long as timestamp) show different result between Hive and Spark

2020-05-21 Thread GitBox


GuoPhilipse commented on pull request #28605:
URL: https://github.com/apache/spark/pull/28605#issuecomment-632494495


   :) have corrected and added examples in JIRA



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[GitHub] [spark] AmplabJenkins removed a comment on pull request #28604: [SPARK-29854][SQL][TESTS] Add tests to check lpad/rpad throw an exception for invalid length input

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[GitHub] [spark] SparkQA commented on pull request #28604: [SPARK-29854][SQL][TESTS] Add tests to check lpad/rpad throw an exception for invalid length input

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[GitHub] [spark] viirya commented on a change in pull request #28556: [SPARK-31736][SQL] Nested column aliasing for RepartitionByExpression/Join

2020-05-21 Thread GitBox


viirya commented on a change in pull request #28556:
URL: https://github.com/apache/spark/pull/28556#discussion_r429048929



##
File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/SchemaPruningSuite.scala
##
@@ -338,6 +349,93 @@ abstract class SchemaPruningSuite
 }
   }
 
+  testSchemaPruning("select one deep nested complex field after repartition") {
+val query = sql("select * from contacts")
+  .repartition(100)
+  .where("employer.company.address is not null")
+  .selectExpr("employer.id as employer_id")
+checkScan(query,
+  "struct>>")
+checkAnswer(query, Row(0) :: Nil)
+  }
+
+  testSchemaPruning("select one deep nested complex field after repartition by 
expression") {
+val query1 = sql("select * from contacts")
+  .repartition(100, col("id"))
+  .where("employer.company.address is not null")
+  .selectExpr("employer.id as employer_id")
+checkScan(query1,
+  "struct>>")
+checkAnswer(query1, Row(0) :: Nil)
+
+val query2 = sql("select * from contacts")
+  .repartition(100, col("employer"))
+  .where("employer.company.address is not null")
+  .selectExpr("employer.id as employer_id")
+checkScan(query2,
+  
"struct>>")
+checkAnswer(query2, Row(0) :: Nil)
+
+val query3 = sql("select * from contacts")
+  .repartition(100, col("employer.company"))
+  .where("employer.company.address is not null")
+  .selectExpr("employer.company as employer_company")
+checkScan(query3,
+  "struct>>")
+checkAnswer(query3, Row(Row("abc", "123 Business Street")) :: Nil)
+
+val query4 = sql("select * from contacts")
+  .repartition(100, col("employer.company.address"))
+  .where("employer.company.address is not null")
+  .selectExpr("employer.company.address as employer_company_addr")
+checkScan(query4,
+  "struct>>")
+checkAnswer(query4, Row("123 Business Street") :: Nil)
+  }
+
+  testSchemaPruning("select one deep nested complex field after join") {
+val query1 = sql("select contacts.name.middle from contacts, departments 
where " +
+"contacts.id = departments.contactId")
+checkScan(query1,
+  "struct>",
+"struct")
+checkAnswer(query1, Row("X.") :: Row("Y.") :: Nil)
+
+val query2 = sql("select contacts.name.middle from contacts, departments 
where " +

Review comment:
   Seems all tests in this test suite are using lowercases. Changing all 
tests seems too bothering... :)





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[GitHub] [spark] AmplabJenkins commented on pull request #28606: [MINOR][YARN]False report isAllNodeBlacklisted when RM is having issue

2020-05-21 Thread GitBox


AmplabJenkins commented on pull request #28606:
URL: https://github.com/apache/spark/pull/28606#issuecomment-632486820


   Can one of the admins verify this patch?



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   Can one of the admins verify this patch?



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[GitHub] [spark] AmplabJenkins commented on pull request #28606: [MINOR][YARN]False report isAllNodeBlacklisted when RM is having issue

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   Can one of the admins verify this patch?



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[GitHub] [spark] cnZach opened a new pull request #28606: [MINOR][YARN]False report isAllNodeBlacklisted when RM is having issue

2020-05-21 Thread GitBox


cnZach opened a new pull request #28606:
URL: https://github.com/apache/spark/pull/28606


   
   
   ### What changes were proposed in this pull request?
   
   Improve the check logic on if all node managers are really being backlisted.
   
   ### Why are the changes needed?
   
   I observed when the AM is out of sync with ResourceManager, or RM is having 
issue report back with current number of available NMs, something like below 
happens:
   ...
   20/05/13 09:01:21 INFO RetryInvocationHandler: java.io.EOFException: End of 
File Exception between local host is: "client.zyx.com/x.x.x.124"; destination 
host is: "rm.zyx.com":8030; : java.io.EOFException; For more details see:  
http://wiki.apache.org/hadoop/EOFException, while invoking 
ApplicationMasterProtocolPBClientImpl.allocate over rm543. Trying to failover 
immediately.
   ...
   20/05/13 09:01:28 WARN AMRMClientImpl: ApplicationMaster is out of sync with 
ResourceManager, hence resyncing.
   ...
   
   then the spark job would suddenly run into AllNodeBlacklisted state:
   ...
   20/05/13 09:01:31 INFO ApplicationMaster: Final app status: FAILED, 
exitCode: 11, (reason: Due to executor failures all available nodes are 
blacklisted)
   ...
   
   but actually there's no black listed nodes in currentBlacklistedYarnNodes, 
and I do not see any blacklisting message from:
   
https://github.com/apache/spark/blob/master/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocatorBlacklistTracker.scala#L119
   
   We should only return isAllNodeBlacklisted =true when we see there are >0  
numClusterNodes AND 'currentBlacklistedYarnNodes.size >= numClusterNodes'.
   
   ### Does this PR introduce _any_ user-facing change?
   
   
   No.
   
   ### How was this patch tested?
   
   A minor change. No changes on tests.



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[GitHub] [spark] AmplabJenkins commented on pull request #28604: [SPARK-29854][SQL][TESTS] Add tests to check lpad/rpad throw an exception for invalid length input

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[GitHub] [spark] SparkQA commented on pull request #28604: [SPARK-29854][SQL][TESTS] Add tests to check lpad/rpad throw an exception for invalid length input

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SparkQA commented on pull request #28604:
URL: https://github.com/apache/spark/pull/28604#issuecomment-632481523


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[GitHub] [spark] maropu commented on a change in pull request #28604: [SPARK-29854][SQL][TESTS] Add tests to check lpad/rpad throw an exception for invalid length input

2020-05-21 Thread GitBox


maropu commented on a change in pull request #28604:
URL: https://github.com/apache/spark/pull/28604#discussion_r429042439



##
File path: sql/core/src/test/resources/sql-tests/inputs/string-functions.sql
##
@@ -48,4 +48,8 @@ SELECT trim(LEADING 'xyz' FROM 'zzzytestxyz');
 SELECT trim(LEADING 'xy' FROM 'xyxXxyLAST WORD');
 SELECT trim(TRAILING 'xyz' FROM 'testxxzx');
 SELECT trim(TRAILING 'xyz' FROM 'xyztestxxzx');
-SELECT trim(TRAILING 'xy' FROM 'TURNERyxXxy');
\ No newline at end of file
+SELECT trim(TRAILING 'xy' FROM 'TURNERyxXxy');
+
+-- Check lpad/rpad throw an exception for invalid length input

Review comment:
   Ur, my bad. It looks better. I'll update it.





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[GitHub] [spark] cloud-fan commented on a change in pull request #28604: [SPARK-29854][SQL][TESTS] Add tests to check lpad/rpad throw an exception for invalid length input

2020-05-21 Thread GitBox


cloud-fan commented on a change in pull request #28604:
URL: https://github.com/apache/spark/pull/28604#discussion_r429040810



##
File path: sql/core/src/test/resources/sql-tests/inputs/string-functions.sql
##
@@ -48,4 +48,8 @@ SELECT trim(LEADING 'xyz' FROM 'zzzytestxyz');
 SELECT trim(LEADING 'xy' FROM 'xyxXxyLAST WORD');
 SELECT trim(TRAILING 'xyz' FROM 'testxxzx');
 SELECT trim(TRAILING 'xyz' FROM 'xyztestxxzx');
-SELECT trim(TRAILING 'xy' FROM 'TURNERyxXxy');
\ No newline at end of file
+SELECT trim(TRAILING 'xy' FROM 'TURNERyxXxy');
+
+-- Check lpad/rpad throw an exception for invalid length input

Review comment:
   it only throws exception under ansi mode. how about
   ```
   -- Check lpad/rpad with invalid length parameter
   ```





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[GitHub] [spark] cloud-fan commented on a change in pull request #28600: [SPARK-31761][SQL] cast integer to Long to avoid IntegerOverflow for IntegralDivide operator

2020-05-21 Thread GitBox


cloud-fan commented on a change in pull request #28600:
URL: https://github.com/apache/spark/pull/28600#discussion_r429039911



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
##
@@ -423,13 +434,21 @@ case class IntegralDivide(
 
   private lazy val div: (Any, Any) => Any = {
 val integral = left.dataType match {
+  // if it is of Integer type than cast it to Long
+  case _: IntegerType =>

Review comment:
   We need to handle byte/short as well. I think it's easier to update the 
type coercion rules to do the cast at the analysis time.





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[GitHub] [spark] SparkQA commented on pull request #28601: [SPARK-31786][K8S][BUILD] Upgrade kubernetes-client to 4.9.2

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SparkQA commented on pull request #28601:
URL: https://github.com/apache/spark/pull/28601#issuecomment-632474270


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 for PR 28601 at commit 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.



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[GitHub] [spark] sandeep-katta commented on a change in pull request #28600: [SPARK-31761][SQL] cast integer to Long to avoid IntegerOverflow for IntegralDivide operator

2020-05-21 Thread GitBox


sandeep-katta commented on a change in pull request #28600:
URL: https://github.com/apache/spark/pull/28600#discussion_r429034719



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
##
@@ -337,11 +340,19 @@ trait DivModLike extends BinaryArithmetic {
 } else {
   s"${eval2.value} == 0"
 }
-val javaType = CodeGenerator.javaType(dataType)
+val isIntegralDiv = this.isInstanceOf[IntegralDivide]
+// From SPARK-16323 IntegralDivision returns Long data type
+val javaType = if (isIntegralDiv) JAVA_LONG else 
CodeGenerator.javaType(dataType)
+val operandJavaType = if (isIntegralDiv) operandsDataType match {
+  case _: IntegerType => JAVA_LONG

Review comment:
   okay will update the PR with `TypeCoercion` implementation





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[GitHub] [spark] HyukjinKwon commented on a change in pull request #28600: [SPARK-31761][SQL] cast integer to Long to avoid IntegerOverflow for IntegralDivide operator

2020-05-21 Thread GitBox


HyukjinKwon commented on a change in pull request #28600:
URL: https://github.com/apache/spark/pull/28600#discussion_r429034529



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
##
@@ -337,11 +340,19 @@ trait DivModLike extends BinaryArithmetic {
 } else {
   s"${eval2.value} == 0"
 }
-val javaType = CodeGenerator.javaType(dataType)
+val isIntegralDiv = this.isInstanceOf[IntegralDivide]
+// From SPARK-16323 IntegralDivision returns Long data type
+val javaType = if (isIntegralDiv) JAVA_LONG else 
CodeGenerator.javaType(dataType)
+val operandJavaType = if (isIntegralDiv) operandsDataType match {
+  case _: IntegerType => JAVA_LONG

Review comment:
   Okay, allowing it seems making sense. It will also keep the 
compatibility.





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[GitHub] [spark] sandeep-katta commented on a change in pull request #28600: [SPARK-31761][SQL] cast integer to Long to avoid IntegerOverflow for IntegralDivide operator

2020-05-21 Thread GitBox


sandeep-katta commented on a change in pull request #28600:
URL: https://github.com/apache/spark/pull/28600#discussion_r429034382



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
##
@@ -337,11 +340,19 @@ trait DivModLike extends BinaryArithmetic {
 } else {
   s"${eval2.value} == 0"
 }
-val javaType = CodeGenerator.javaType(dataType)
+val isIntegralDiv = this.isInstanceOf[IntegralDivide]
+// From SPARK-16323 IntegralDivision returns Long data type
+val javaType = if (isIntegralDiv) JAVA_LONG else 
CodeGenerator.javaType(dataType)
+val operandJavaType = if (isIntegralDiv) operandsDataType match {
+  case _: IntegerType => JAVA_LONG

Review comment:
   Behaviour is mixed w.r.t other DBMSes
   since `IntegralDivide` returns Long, shall I cast to Long in `TypeCoercion` ?





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[GitHub] [spark] sandeep-katta commented on a change in pull request #28600: [SPARK-31761][SQL] cast integer to Long to avoid IntegerOverflow for IntegralDivide operator

2020-05-21 Thread GitBox


sandeep-katta commented on a change in pull request #28600:
URL: https://github.com/apache/spark/pull/28600#discussion_r429033795



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
##
@@ -337,11 +340,19 @@ trait DivModLike extends BinaryArithmetic {
 } else {
   s"${eval2.value} == 0"
 }
-val javaType = CodeGenerator.javaType(dataType)
+val isIntegralDiv = this.isInstanceOf[IntegralDivide]
+// From SPARK-16323 IntegralDivision returns Long data type
+val javaType = if (isIntegralDiv) JAVA_LONG else 
CodeGenerator.javaType(dataType)
+val operandJavaType = if (isIntegralDiv) operandsDataType match {
+  case _: IntegerType => JAVA_LONG

Review comment:
   I ran the `select -2147483648 / -1 ` query in some of the databases, 
results are as below
   
   MySQL => 2147483648
   
   PostgresSQl9.6 => Out of Integer Range exception
   
   mariaDB => 2147483648
   
   MS Sql Server 2017 => 2147483648





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[GitHub] [spark] HyukjinKwon commented on pull request #28605: [SPARK-31790][DOCS] Document cast(ts as long) difference between Hive and Spark

2020-05-21 Thread GitBox


HyukjinKwon commented on pull request #28605:
URL: https://github.com/apache/spark/pull/28605#issuecomment-632467539


   @GuoPhilipse, feel free to fix the PR title and PR description with 
examples. It's your PR :-)



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[GitHub] [spark] dongjoon-hyun edited a comment on pull request #28601: [SPARK-31786][K8S][BUILD] Upgrade kubernetes-client to 4.9.2

2020-05-21 Thread GitBox


dongjoon-hyun edited a comment on pull request #28601:
URL: https://github.com/apache/spark/pull/28601#issuecomment-632467085


   `WorkerDecommissionSuite` seems to be a flaky test which is irrelevant to 
this PR.
   ```
   org.apache.spark.scheduler.WorkerDecommissionSuite.verify a task with all 
workers decommissioned succeeds
   ```



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[GitHub] [spark] dongjoon-hyun commented on pull request #28601: [SPARK-31786][K8S][BUILD] Upgrade kubernetes-client to 4.9.2

2020-05-21 Thread GitBox


dongjoon-hyun commented on pull request #28601:
URL: https://github.com/apache/spark/pull/28601#issuecomment-632467085


   `WorkerDecommissionSuite` is irrelevant to this PR.
   ```
   org.apache.spark.scheduler.WorkerDecommissionSuite.verify a task with all 
workers decommissioned succeeds
   ```



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[GitHub] [spark] ms-lolo commented on pull request #17455: [Spark-20044][Web UI] Support Spark UI behind front-end reverse proxy using a path prefix

2020-05-21 Thread GitBox


ms-lolo commented on pull request #17455:
URL: https://github.com/apache/spark/pull/17455#issuecomment-632465049


   So I'm definitely confused by the spark docs everywhere… is this still not 
possible? I have a single domain with many spark clusters sitting behind it and 
I would like to reach them using a path like `/spark/{some-id}`. There are 
multiple settings in the config docs mentioning proxies but they just cause 
chaos and make no sense to me. Can anyone point me in the right direction or 
simply tell me this isn't possible? So far `spark.ui.proxyBase` seems like the 
closest thing to what I want but this setting isn't even in the docs even 
though it's mentioned as part of other configs (including brand new configs 
making their way into 3.0!)



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[GitHub] [spark] GuoPhilipse commented on pull request #28605: [SPARK-31790][DOCS] Document cast(ts as long) difference between Hive and Spark

2020-05-21 Thread GitBox


GuoPhilipse commented on pull request #28605:
URL: https://github.com/apache/spark/pull/28605#issuecomment-632455796


   @HyukjinKwon   cast(ts as long) may change to  cast(long as timestamp) ?



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[GitHub] [spark] SparkQA commented on pull request #28363: [SPARK-27188][SS] FileStreamSink: provide a new option to have retention on output files

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SparkQA commented on pull request #28363:
URL: https://github.com/apache/spark/pull/28363#issuecomment-632455277


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 for PR 28363 at commit 
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* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.



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[GitHub] [spark] Ngone51 commented on a change in pull request #28596: [SPARK-31784][CORE][TEST] Fix test BarrierTaskContextSuite."share messages with allGather() call"

2020-05-21 Thread GitBox


Ngone51 commented on a change in pull request #28596:
URL: https://github.com/apache/spark/pull/28596#discussion_r429021273



##
File path: 
core/src/test/scala/org/apache/spark/scheduler/BarrierTaskContextSuite.scala
##
@@ -69,12 +69,12 @@ class BarrierTaskContextSuite extends SparkFunSuite with 
LocalSparkContext with
   // Pass partitionId message in
   val message: String = context.partitionId().toString
   val messages: Array[String] = context.allGather(message)
-  messages.toList.iterator
+  Iterator.single(messages.toList)
 }
 // Take a sorted list of all the partitionId messages
 val messages = rdd2.collect().head
 // All the task partitionIds are shared
-for((x, i) <- messages.view.zipWithIndex) assert(x.toString == i.toString)
+assert(messages === List("0", "1", "2", "3"))

Review comment:
   make sense.





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[GitHub] [spark] WeichenXu123 commented on a change in pull request #28596: [SPARK-31784][CORE][TEST] Fix test BarrierTaskContextSuite."share messages with allGather() call"

2020-05-21 Thread GitBox


WeichenXu123 commented on a change in pull request #28596:
URL: https://github.com/apache/spark/pull/28596#discussion_r429020982



##
File path: 
core/src/test/scala/org/apache/spark/scheduler/BarrierTaskContextSuite.scala
##
@@ -69,12 +69,12 @@ class BarrierTaskContextSuite extends SparkFunSuite with 
LocalSparkContext with
   // Pass partitionId message in
   val message: String = context.partitionId().toString
   val messages: Array[String] = context.allGather(message)
-  messages.toList.iterator
+  Iterator.single(messages.toList)
 }
 // Take a sorted list of all the partitionId messages
 val messages = rdd2.collect().head
 // All the task partitionIds are shared
-for((x, i) <- messages.view.zipWithIndex) assert(x.toString == i.toString)
+assert(messages === List("0", "1", "2", "3"))

Review comment:
   We'd better verify the whole rdd collect array, not only the head of 
result array?





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   Can one of the admins verify this patch?



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[GitHub] [spark] SparkQA commented on pull request #28604: [SPARK-29854][SQL][TESTS] Add tests to check lpad/rpad throw an exception for invalid length input

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[GitHub] [spark] HyukjinKwon edited a comment on pull request #28603: [SPARK-31788][CORE] Fix UnionRDD of PairRDDs

2020-05-21 Thread GitBox


HyukjinKwon edited a comment on pull request #28603:
URL: https://github.com/apache/spark/pull/28603#issuecomment-632437124


   Shell we also add a unit test? Also, please describe before/after this fix 
in "Does this PR introduce any user-facing change?". Technically I think this 
IS a user-facing behaviour changes from error to working case.



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[GitHub] [spark] liangz1 closed pull request #28504: [WIP][SPARK-20007] Make SparkR apply() functions robust to workers that return empty data.frame

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liangz1 closed pull request #28504:
URL: https://github.com/apache/spark/pull/28504


   



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[GitHub] [spark] AmplabJenkins commented on pull request #28602: Revert "[SPARK-31765][WEBUI] Upgrade HtmlUnit >= 2.37.0"

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[GitHub] [spark] SparkQA commented on pull request #28601: [SPARK-31786][K8S][BUILD] Upgrade kubernetes-client to 4.9.2

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 for PR 28601 at commit 
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* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.



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[GitHub] [spark] HeartSaVioR commented on pull request #27019: [SPARK-30027][SQL] Support codegen for aggregate filters in HashAggregateExec

2020-05-21 Thread GitBox


HeartSaVioR commented on pull request #27019:
URL: https://github.com/apache/spark/pull/27019#issuecomment-632449300


   Hi @maropu, one question from curiosity.
   
   I guess you've already got +1 from @kiszk, so unless you haven't made 
non-trivial change afterwards why don't you just go merge? Is there something 
you'd like to get reviewed, or is there someone you want to get reviewed before 
merging? If you are waiting for anything it would be nice to describe what 
you're waiting for.



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[GitHub] [spark] SparkQA commented on pull request #28602: Revert "[SPARK-31765][WEBUI] Upgrade HtmlUnit >= 2.37.0"

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[GitHub] [spark] GuoPhilipse commented on pull request #28605: add docs for sql migration-guide

2020-05-21 Thread GitBox


GuoPhilipse commented on pull request #28605:
URL: https://github.com/apache/spark/pull/28605#issuecomment-632447975


   fine, i will create a JIRA for it.



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[GitHub] [spark] maropu commented on a change in pull request #28604: [SPARK-29854][SQL][TESTS] Add tests to check lpad/rpad throw an exception for invalid length input

2020-05-21 Thread GitBox


maropu commented on a change in pull request #28604:
URL: https://github.com/apache/spark/pull/28604#discussion_r429014787



##
File path: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
##
@@ -49,6 +49,24 @@ class SQLQuerySuite extends QueryTest with 
SharedSparkSession with AdaptiveSpark
 
   setupTestData()
 
+  test("lpad/rpad should throw an exception for invalid length input if the 
ANSI mode enabled") {

Review comment:
   ok





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[GitHub] [spark] AmplabJenkins commented on pull request #28605: add docs for sql migration-guide

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   Can one of the admins verify this patch?



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[GitHub] [spark] SparkQA commented on pull request #28596: [SPARK-31784][CORE][TEST] Fix test BarrierTaskContextSuite."share messages with allGather() call"

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[GitHub] [spark] SparkQA commented on pull request #28600: [SPARK-31761][SQL] cast integer to Long to avoid IntegerOverflow for IntegralDivide operator

2020-05-21 Thread GitBox


SparkQA commented on pull request #28600:
URL: https://github.com/apache/spark/pull/28600#issuecomment-63287


   **[Test build #122943 has 
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* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.



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[GitHub] [spark] HyukjinKwon commented on pull request #28605: add docs for sql migration-guide

2020-05-21 Thread GitBox


HyukjinKwon commented on pull request #28605:
URL: https://github.com/apache/spark/pull/28605#issuecomment-632443991


   @GuoPhilipse, let's file a JIRA although it's doc only, it's user-facing.



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[GitHub] [spark] GuoPhilipse opened a new pull request #28605: add docs for sql migration-guide

2020-05-21 Thread GitBox


GuoPhilipse opened a new pull request #28605:
URL: https://github.com/apache/spark/pull/28605


   
   
   ### What changes were proposed in this pull request?
   add docs for sql migration-guide
   
   ### Why are the changes needed?
   let user know more about the scenarios in which Hive and Spark generate 
different results
   
   
   ### Does this PR introduce _any_ user-facing change?
   no
   
   
   ### How was this patch tested?
   no need to test
   



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[GitHub] [spark] Ngone51 commented on pull request #28596: [SPARK-31784][CORE][TEST] Fix test BarrierTaskContextSuite."share messages with allGather() call"

2020-05-21 Thread GitBox


Ngone51 commented on pull request #28596:
URL: https://github.com/apache/spark/pull/28596#issuecomment-632443041


   retest this please



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[GitHub] [spark] SparkQA commented on pull request #28585: [SPARK-31765][WEBUI] Upgrade HtmlUnit >= 2.37.0

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



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