[GitHub] [spark] imback82 commented on a change in pull request #32854: [SPARK-34320][SQL] Migrate ALTER TABLE DROP COLUMNS commands to use UnresolvedTable to resolve the identifier

2021-06-10 Thread GitBox


imback82 commented on a change in pull request #32854:
URL: https://github.com/apache/spark/pull/32854#discussion_r648877170



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
##
@@ -298,6 +298,7 @@ class Analyzer(override val catalogManager: CatalogManager)
 Batch("Post-Hoc Resolution", Once,
   Seq(ResolveCommandsWithIfExists) ++
   postHocResolutionRules: _*),
+Batch("Normalize Alter Table Commands", Once, ResolveAlterTableCommands),
 Batch("Normalize Alter Table", Once, ResolveAlterTableChanges),

Review comment:
   We can remove `ResolveAlterTableChanges` once all the alter table 
commands are migrated to `ResolveAlterTableCommands`.

##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
##
@@ -3540,6 +3541,32 @@ class Analyzer(override val catalogManager: 
CatalogManager)
 }
   }
 
+  /**
+   * Rule to mostly resolve, normalize and rewrite column names based on case 
sensitivity
+   * for alter table commands.
+   */
+  object ResolveAlterTableCommands extends Rule[LogicalPlan] {
+def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsUp {
+  case a @ AlterTableDropColumns(r: ResolvedTable, colsToDrop) =>
+val resolvedColsToDrop = colsToDrop.flatMap { col =>
+  resolveFieldNames(r.schema, col).orElse(Some(col))
+}
+a.copy(columnsToDrop = resolvedColsToDrop)
+}
+
+/**
+ * Returns the resolved field name if the field can be resolved, returns 
None if the column is
+ * not found. An error will be thrown in CheckAnalysis for columns that 
can't be resolved.
+ */
+private def resolveFieldNames(

Review comment:
   This is a copied/modified version of 
https://github.com/apache/spark/blob/cadd3a0588eeed42c6742ae1b7a2eaa85bd8a3af/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala#L3687

##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala
##
@@ -694,6 +697,24 @@ trait CheckAnalysis extends PredicateHelper with 
LookupCatalog {
 plan.setAnalyzed()
   }
 
+  /**
+   * Find the given field name in the resolved table's schema for alter table 
commands.
+   */
+  private def findField(

Review comment:
   This is a copied/modified version of 
https://github.com/apache/spark/blob/cadd3a0588eeed42c6742ae1b7a2eaa85bd8a3af/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala#L445




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[GitHub] [spark] imback82 commented on pull request #32854: [SPARK-34320][SQL] Migrate ALTER TABLE DROP COLUMNS commands to use UnresolvedTable to resolve the identifier

2021-06-10 Thread GitBox


imback82 commented on pull request #32854:
URL: https://github.com/apache/spark/pull/32854#issuecomment-858337156


   @cloud-fan this is an alternative approach suggested in 
https://github.com/apache/spark/pull/32542#issuecomment-843759217. We can 
migrate the alter table commands one by one via this approach. Let me know if 
you want to see more examples of this for other alter table commands.


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[GitHub] [spark] imback82 opened a new pull request #32855: [SPARK-34524][SQL][FOLLOWUP] Remove unused checkAlterTablePartition in CheckAnalysis.scala

2021-06-10 Thread GitBox


imback82 opened a new pull request #32855:
URL: https://github.com/apache/spark/pull/32855


   
   
   ### What changes were proposed in this pull request?
   
   #31637 removed the usage of `CheckAnalysis.checkAlterTablePartition` but 
didn't remove the function.
   
   ### Why are the changes needed?
   
   To removed an unused function.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No
   
   ### How was this patch tested?
   
   Existing tests.


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[GitHub] [spark] SparkQA commented on pull request #32815: [SPARK-35675][SQL] EnsureRequirements remove shuffle should respect PartitioningCollection

2021-06-10 Thread GitBox


SparkQA commented on pull request #32815:
URL: https://github.com/apache/spark/pull/32815#issuecomment-858353315


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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] Ngone51 commented on pull request #32136: [SPARK-35022][CORE] Task Scheduling Plugin in Spark

2021-06-10 Thread GitBox


Ngone51 commented on pull request #32136:
URL: https://github.com/apache/spark/pull/32136#issuecomment-858375487


   > The mapping could be between specific resources (e.g. PVC) and task (i.e. 
state store). 
   
   Your rephrase looks good except for one point here.  "task (i.e. state 
store)"? You mean task is kind of a type of state store? is it a typo? I 
actually expect that it's a mapping between PVC and task Id.
   
   > Actually we cannot schedule a task to specific location of statestore.
   
   I don't understand this. I assume each statestore must be bound to a 
specific location. Why we can't schedule the task?
   
   > Maybe `ResourceLocation`? It means the task prefers a location with 
specific resource (e.g. PVC).
   
   `ResourceLocation` sounds too general. Mabye, `RequiredResourceLocation`?


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[GitHub] [spark] SparkQA commented on pull request #32857: [SPARK-35707][ML] optimize sparse GEMM by skipping bound checking

2021-06-10 Thread GitBox


SparkQA commented on pull request #32857:
URL: https://github.com/apache/spark/pull/32857#issuecomment-858386706


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[GitHub] [spark] SparkQA commented on pull request #32852: [SPARK-35283][SQL] Support query some DDL with CTES

2021-06-10 Thread GitBox


SparkQA commented on pull request #32852:
URL: https://github.com/apache/spark/pull/32852#issuecomment-858386662


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[GitHub] [spark] SparkQA commented on pull request #32816: [SPARK-33832][SQL] Support optimize skewed join even if introduce extra shuffle

2021-06-10 Thread GitBox


SparkQA commented on pull request #32816:
URL: https://github.com/apache/spark/pull/32816#issuecomment-858386822


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[GitHub] [spark] eejbyfeldt commented on pull request #32783: [SPARK-35653][SQL] Fix CatalystToExternalMap interpreted path fails for Map with case classes as keys or values

2021-06-10 Thread GitBox


eejbyfeldt commented on pull request #32783:
URL: https://github.com/apache/spark/pull/32783#issuecomment-858394340


   > `StructConverter` converts from Catalyst struct to a `Row`. Will it be a 
behavior change? Although it is Catalyst expression.
   
   From my understanding this is exactly the bug being fixed. So there will be 
behavior change. But the behavior is changed such that the interpreted path and 
the code gen path has the same behavior. The thinking being that the old 
behavior was undesired and incorrect.
   
   My understanding of the failure the test cases (if added without the patch):
   ```
   [info] - encode/decode for map with case class as value: Map(1 -> 
IntAndString(1,a)) (interpreted path) *** FAILED *** (64 milliseconds)
   [info]   Encoded/Decoded data does not match input data
   [info]   
   [info]   in:  Map(1 -> IntAndString(1,a))
   [info]   out: Map(1 -> [1,a])
   ```
   Is that the value of the `Map` was converted to an `[1,a]` which I believe 
is an `InternalRow` instead of the expected `IntAndString`. This sounds like 
the change you are mentioning? 
   
   
   The reason I believe my change is the correct is that using the 
`key/valueLambdaFunction` is since this is how it is done inside `MapObjects`:
   
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/objects/objects.scala#L820-L826
   
   Please correct me if I am wrong about anything or misunderstood the question 
as I am new to the code base.
   


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[GitHub] [spark] SparkQA commented on pull request #32828: [SPARK-35689][SS] Add log warn when keyWithIndexToValue returns null value

2021-06-10 Thread GitBox


SparkQA commented on pull request #32828:
URL: https://github.com/apache/spark/pull/32828#issuecomment-858394064


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[GitHub] [spark] SparkQA commented on pull request #32470: [WIP] Simplify ResolveAggregateFunctions

2021-06-10 Thread GitBox


SparkQA commented on pull request #32470:
URL: https://github.com/apache/spark/pull/32470#issuecomment-858471292


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* This patch adds no public classes.


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[GitHub] [spark] AmplabJenkins commented on pull request #32470: [WIP] Simplify ResolveAggregateFunctions

2021-06-10 Thread GitBox


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URL: https://github.com/apache/spark/pull/32470#issuecomment-858471325


   
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[GitHub] [spark] beliefer commented on pull request #32852: [SPARK-35283][SQL] Support query some DDL with CTES

2021-06-10 Thread GitBox


beliefer commented on pull request #32852:
URL: https://github.com/apache/spark/pull/32852#issuecomment-858500113


   > https://dev.mysql.com/doc/refman/8.0/en/extended-show.html
   @wangyum There is a discussion below.
   https://github.com/apache/spark/pull/31548#issuecomment-814170427
   


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[GitHub] [spark] zhouyejoe commented on a change in pull request #32007: [SPARK-33350][SHUFFLE] Add support to DiskBlockManager to create merge directory and to get the local shuffle merged data

2021-06-10 Thread GitBox


zhouyejoe commented on a change in pull request #32007:
URL: https://github.com/apache/spark/pull/32007#discussion_r648874848



##
File path: core/src/main/scala/org/apache/spark/storage/DiskBlockManager.scala
##
@@ -153,6 +185,82 @@ private[spark] class DiskBlockManager(conf: SparkConf, 
deleteFilesOnStop: Boolea
 }
   }
 
+  /**
+   * Get the list of configured local dirs storing merged shuffle blocks 
created by executors
+   * if push based shuffle is enabled. Note that the files in this directory 
will be created
+   * by the external shuffle services. We only create the merge_manager 
directories and
+   * subdirectories here because currently the external shuffle service 
doesn't have
+   * permission to create directories under application local directories.
+   */
+  private def createLocalDirsForMergedShuffleBlocks(): Unit = {
+if (Utils.isPushBasedShuffleEnabled(conf)) {
+  // Will create the merge_manager directory only if it doesn't exist 
under the local dir.
+  Utils.getConfiguredLocalDirs(conf).foreach { rootDir =>
+try {
+  val mergeDir = new File(rootDir, MERGE_MANAGER_DIR)
+  if (!mergeDir.exists()) {
+// This executor does not find merge_manager directory, it will 
try to create
+// the merge_manager directory and the sub directories.
+logDebug(s"Try to create $mergeDir and its sub dirs since the " +
+  s"$MERGE_MANAGER_DIR dir does not exist")
+for (dirNum <- 0 until subDirsPerLocalDir) {
+  val subDir = new File(mergeDir, "%02x".format(dirNum))
+  if (!subDir.exists()) {
+// Only one container will create this directory. The 
filesystem will handle
+// any race conditions.
+createDirWithCustomizedPermission(subDir, "770")
+  }
+}
+  }
+  logInfo(s"Merge directory and its sub dirs get created at $mergeDir")
+} catch {
+  case e: IOException =>
+logError(
+  s"Failed to create $MERGE_MANAGER_DIR dir in $rootDir. Ignoring 
this directory.", e)
+}
+  }
+}
+  }
+
+  /**
+   * Create a directory that is writable by the group.
+   * Grant the customized permission so the shuffle server can
+   * create subdirs/files within the merge folder.
+   * TODO: Find out why can't we create a dir using java api with permission 
770
+   *  Files.createDirectories(mergeDir.toPath, 
PosixFilePermissions.asFileAttribute(
+   *  PosixFilePermissions.fromString("rwxrwx---")))
+   */
+  def createDirWithCustomizedPermission(dirToCreate: File, permission: 
String): Unit = {

Review comment:
   Updated the method name and revert back to only mkdir with permission 
770.




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[GitHub] [spark] imback82 opened a new pull request #32854: [SPARK-34320][SQL] Migrate ALTER TABLE DROP COLUMNS commands to use UnresolvedTable to resolve the identifier

2021-06-10 Thread GitBox


imback82 opened a new pull request #32854:
URL: https://github.com/apache/spark/pull/32854


   
   
   ### What changes were proposed in this pull request?
   
   This PR proposes to migrate the following `ALTER TABLE ... DROP COLUMNS` 
command to use `UnresolvedTable` as a `child` to resolve the table identifier. 
This allows consistent resolution rules (temp view first, etc.) to be applied 
for both v1/v2 commands. More info about the consistent resolution rule 
proposal can be found in 
[JIRA](https://issues.apache.org/jira/browse/SPARK-29900) or [proposal 
doc](https://docs.google.com/document/d/1hvLjGA8y_W_hhilpngXVub1Ebv8RsMap986nENCFnrg/edit?usp=sharing).
   
   ### Why are the changes needed?
   
   
   This is a part of effort to make the relation lookup behavior consistent: 
[SPARK-29900](https://issues.apache.org/jira/browse/SPARK-29900).
   
   ### Does this PR introduce _any_ user-facing change?
   
   After this PR, the above `ALTER TABLE ... DROP COLUMNS` commands will have a 
consistent resolution behavior.
   
   ### How was this patch tested?
   
   Updated existing tests.
   


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[GitHub] [spark] zhouyejoe commented on a change in pull request #32007: [SPARK-33350][SHUFFLE] Add support to DiskBlockManager to create merge directory and to get the local shuffle merged data

2021-06-10 Thread GitBox


zhouyejoe commented on a change in pull request #32007:
URL: https://github.com/apache/spark/pull/32007#discussion_r648874572



##
File path: core/src/main/scala/org/apache/spark/util/Utils.scala
##
@@ -2566,11 +2601,28 @@ private[spark] object Utils extends Logging {
   }
 
   /**
-   * Push based shuffle can only be enabled when external shuffle service is 
enabled.
+   * Push based shuffle can only be enabled when the application is submitted
+   * to run in YARN mode, with external shuffle service enabled and
+   * spark.yarn.maxAttempts or the yarn cluster default max attempts is set to 
1.
+   * TODO: SPARK-35546 Support push based shuffle with multiple app attempts
*/
   def isPushBasedShuffleEnabled(conf: SparkConf): Boolean = {
 conf.get(PUSH_BASED_SHUFFLE_ENABLED) &&
-  (conf.get(IS_TESTING).getOrElse(false) || 
conf.get(SHUFFLE_SERVICE_ENABLED))
+  (conf.get(IS_TESTING).getOrElse(false) ||
+(conf.get(SHUFFLE_SERVICE_ENABLED) &&
+  conf.get(SparkLauncher.SPARK_MASTER, null) == "yarn") &&
+  getYarnMaxAttempts(conf) == 1)
+  }
+
+  /** Returns the maximum number of attempts to register the AM in YARN mode. 
*/
+  def getYarnMaxAttempts(conf: SparkConf): Int = {
+  val sparkMaxAttempts = 
conf.getOption("spark.yarn.maxAttempts").map(_.toInt)
+  val yarnMaxAttempts = getSparkOrYarnConfig(conf, 
YarnConfiguration.RM_AM_MAX_ATTEMPTS,
+YarnConfiguration.DEFAULT_RM_AM_MAX_ATTEMPTS.toString).toInt
+  sparkMaxAttempts match {
+case Some(x) => if (x <= yarnMaxAttempts) x else yarnMaxAttempts
+case None => yarnMaxAttempts
+  }

Review comment:
   Added comment that this method will be removed after SPARK-35546




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[GitHub] [spark] SparkQA commented on pull request #32841: [SPARK-35673][SQL] Fix user-defined hint and unrecognized hint in subquery.

2021-06-10 Thread GitBox


SparkQA commented on pull request #32841:
URL: https://github.com/apache/spark/pull/32841#issuecomment-858343681


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[GitHub] [spark] jerqi closed pull request #32856: [SPARK-35706][SQL]Consider making the ':' in STRUCT data type definition optional

2021-06-10 Thread GitBox


jerqi closed pull request #32856:
URL: https://github.com/apache/spark/pull/32856


   


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[GitHub] [spark] SparkQA commented on pull request #32821: [SPARK-35342][PYTHON] Introduce DecimalOps

2021-06-10 Thread GitBox


SparkQA commented on pull request #32821:
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[GitHub] [spark] SparkQA commented on pull request #32855: [SPARK-34524][SQL][FOLLOWUP] Remove unused checkAlterTablePartition in CheckAnalysis.scala

2021-06-10 Thread GitBox


SparkQA commented on pull request #32855:
URL: https://github.com/apache/spark/pull/32855#issuecomment-858350181


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[GitHub] [spark] SparkQA commented on pull request #32854: [SPARK-34320][SQL] Migrate ALTER TABLE DROP COLUMNS commands to use UnresolvedTable to resolve the identifier

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[GitHub] [spark] SparkQA commented on pull request #32816: [SPARK-33832][SQL] Support optimize skewed join even if introduce extra shuffle

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[GitHub] [spark] zhengruifeng commented on pull request #32822: [SPARK-35678][ML] add a common softmax function

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zhengruifeng commented on pull request #32822:
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   ping @srowen 


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[GitHub] [spark] cloud-fan commented on pull request #32841: [SPARK-35673][SQL] Fix user-defined hint and unrecognized hint in subquery.

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cloud-fan commented on pull request #32841:
URL: https://github.com/apache/spark/pull/32841#issuecomment-858386217


   thanks, merging to master/3.1/3.0!


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[GitHub] [spark] cloud-fan closed pull request #32841: [SPARK-35673][SQL] Fix user-defined hint and unrecognized hint in subquery.

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cloud-fan closed pull request #32841:
URL: https://github.com/apache/spark/pull/32841


   


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[GitHub] [spark] SparkQA commented on pull request #32470: [WIP] Simplify ResolveAggregateFunctions

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[GitHub] [spark] SparkQA commented on pull request #32842: [MINOR][SQL] No need to normolize name for built-in functions

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[GitHub] [spark] SparkQA commented on pull request #32857: [SPARK-35707][ML] optimize sparse GEMM by skipping bound checking

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[GitHub] [spark] SparkQA commented on pull request #32821: [SPARK-35342][PYTHON] Introduce DecimalOps

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[GitHub] [spark] yos1p edited a comment on pull request #32795: [SPARK-35588][PYTHON][DOCS] Update quickstart.ipynb to use pyspark.pandas

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yos1p edited a comment on pull request #32795:
URL: https://github.com/apache/spark/pull/32795#issuecomment-856936411


   > You might need to push some changes at 
https://github.com/apache/spark/blob/master/binder/postBuild to build Spark, 
install extra dependencies, etc.
   
   It seems mybinder not able to include build spark. The RAM for mybinder at 
least 1 gigabyte. This cause building Spark to fail because not enough heap 
memory space.


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[GitHub] [spark] SparkQA commented on pull request #32859: [SPARK-35708][PYTHON][TEST] Add BaseTest for DataTypeOps

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[GitHub] [spark] SparkQA commented on pull request #32828: [SPARK-35689][SS] Add log warn when keyWithIndexToValue returns null value

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[GitHub] [spark] cloud-fan commented on a change in pull request #32849: [WIP][SPARK-35704][SQL] Support fields by the day-time interval type

2021-06-10 Thread GitBox


cloud-fan commented on a change in pull request #32849:
URL: https://github.com/apache/spark/pull/32849#discussion_r648978557



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/IntervalUtils.scala
##
@@ -158,7 +158,10 @@ object IntervalUtils {
   private val daySecondLiteralRegex =
 
(s"(?i)^INTERVAL\\s+([+|-])?\\'$daySecondPatternString\\'\\s+DAY\\s+TO\\s+SECOND$$").r
 
-  def castStringToDTInterval(input: UTF8String): Long = {
+  def castStringToDTInterval(
+  input: UTF8String,
+  // TODO(SPARK-X): Take into account day-time interval fields in cast
+  it: DayTimeIntervalType): Long = {

Review comment:
   we can just pass 2 bytes as the input




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[GitHub] [spark] AmplabJenkins commented on pull request #32821: [SPARK-35342][PYTHON] Introduce DecimalOps

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[GitHub] [spark] SparkQA commented on pull request #32821: [SPARK-35342][PYTHON] Introduce DecimalOps

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[GitHub] [spark] SparkQA commented on pull request #32854: [SPARK-34320][SQL] Migrate ALTER TABLE DROP COLUMNS commands to use UnresolvedTable to resolve the identifier

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[GitHub] [spark] AmplabJenkins commented on pull request #32815: [SPARK-35675][SQL] EnsureRequirements remove shuffle should respect PartitioningCollection

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[GitHub] [spark] mridulm commented on pull request #30691: [SPARK-32920][SHUFFLE] Finalization of Shuffle push/merge with Push based shuffle and preparation step for the reduce stage

2021-06-10 Thread GitBox


mridulm commented on pull request #30691:
URL: https://github.com/apache/spark/pull/30691#issuecomment-858362869


   jenkins, test this please


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[GitHub] [spark] SparkQA commented on pull request #32821: [SPARK-35342][PYTHON] Introduce DecimalOps

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[GitHub] [spark] SparkQA commented on pull request #30691: [SPARK-32920][SHUFFLE] Finalization of Shuffle push/merge with Push based shuffle and preparation step for the reduce stage

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[GitHub] [spark] SparkQA commented on pull request #32821: [SPARK-35342][PYTHON] Introduce DecimalOps

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[GitHub] [spark] jerqi opened a new pull request #32858: [SPARK-35706][SQL]Consider making the ':' in STRUCT data type definit…

2021-06-10 Thread GitBox


jerqi opened a new pull request #32858:
URL: https://github.com/apache/spark/pull/32858


   ### What changes were proposed in this pull request?
   
   The STRUCT type syntax is defined like this:
   
   STRUCT(fieldNmae: fileType [NOT NULL][COMMENT stringLiteral][,.])
   
   So the field list is nearly the same as a column list
   
   if we could make ':' optional it would be so much cleaner an less proprietary
   
   
   ### Why are the changes needed?
   ease of use
   
   
   ### Does this PR introduce _any_ user-facing change?
   Yes, you can use Struct type list is nearly the same as a column list
   
   
   ### How was this patch tested?
   unit tests
   


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[GitHub] [spark] Yikun opened a new pull request #32859: [SPARK-35708][PYTHON][TEST] Add BaseTest for DataTypeOps

2021-06-10 Thread GitBox


Yikun opened a new pull request #32859:
URL: https://github.com/apache/spark/pull/32859


   ### What changes were proposed in this pull request?
   This patch adds DataTypeOps test to check the ops is loaded as expected. 
   
   
   ### Why are the changes needed?
   When complete https://github.com/apache/spark/pull/32821, I found there are 
no test for DataTypeOps. There were many logic when DataTypeOps loaded, it's 
better to add the test to make sure interface stable. 
   
   
   ### Does this PR introduce _any_ user-facing change?
   No, test only
   
   
   ### How was this patch tested?
   test passed.


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[GitHub] [spark] cloud-fan commented on a change in pull request #32849: [WIP][SPARK-35704][SQL] Support fields by the day-time interval type

2021-06-10 Thread GitBox


cloud-fan commented on a change in pull request #32849:
URL: https://github.com/apache/spark/pull/32849#discussion_r648984100



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/types/DayTimeIntervalType.scala
##
@@ -57,16 +62,61 @@ class DayTimeIntervalType private() extends AtomicType {
 
   private[spark] override def asNullable: DayTimeIntervalType = this
 
-  override def typeName: String = "interval day to second"
+  override val typeName: String = {
+val startFieldName = fieldToString(startField)
+val endFieldName = fieldToString(endField)
+if (startFieldName == endFieldName) {
+  s"interval $startFieldName"
+} else if (startField < endField) {
+  s"interval $startFieldName to $endFieldName"
+} else {
+  throw QueryCompilationErrors.invalidDayTimeIntervalType(startFieldName, 
endFieldName)
+}
+  }
 }
 
 /**
- * The companion case object and its class is separated so the companion 
object also subclasses
- * the DayTimeIntervalType class. Otherwise, the companion object would be of 
type
- * "DayTimeIntervalType$" in byte code. Defined with a private constructor so 
the companion object
- * is the only possible instantiation.
+ * Extra factory methods and pattern matchers for DayTimeIntervalType.
  *
  * @since 3.2.0
  */
 @Unstable
-case object DayTimeIntervalType extends DayTimeIntervalType
+case object DayTimeIntervalType extends AbstractDataType {
+  val DAY: Byte = 0
+  val HOUR: Byte = 1
+  val MINUTE: Byte = 2
+  val SECOND: Byte = 3
+  val dayTimeFields = Seq(DAY, HOUR, MINUTE, SECOND)
+
+  def fieldToString(field: Byte): String = field match {
+case DAY => "day"
+case HOUR => "hour"
+case MINUTE => "minute"
+case SECOND => "second"
+case invalid => throw QueryCompilationErrors.invalidDayTimeField(invalid)
+  }
+
+  val DEFAULT = DayTimeIntervalType(DAY, SECOND)
+
+  def apply(): DayTimeIntervalType = DEFAULT
+
+  override private[sql] def defaultConcreteType: DataType = DEFAULT
+
+  override private[sql] def acceptsType(other: DataType): Boolean = {
+other.isInstanceOf[DayTimeIntervalType]
+  }
+
+  override private[sql] def simpleString: String = 
defaultConcreteType.simpleString
+
+  def dayTimeIntervalTypes(): Seq[DayTimeIntervalType] = Seq(

Review comment:
   if it's test only, let's move it to the test code




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[GitHub] [spark] cloud-fan commented on a change in pull request #32849: [WIP][SPARK-35704][SQL] Support fields by the day-time interval type

2021-06-10 Thread GitBox


cloud-fan commented on a change in pull request #32849:
URL: https://github.com/apache/spark/pull/32849#discussion_r648970057



##
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Average.scala
##
@@ -95,7 +95,7 @@ case class Average(child: Expression) extends 
DeclarativeAggregate with Implicit
 Literal(null, YearMonthIntervalType), DivideYMInterval(sum, count))
 case _: DayTimeIntervalType =>
   If(EqualTo(count, Literal(0L)),
-Literal(null, DayTimeIntervalType), DivideDTInterval(sum, count))
+Literal(null, DayTimeIntervalType.defaultConcreteType), 
DivideDTInterval(sum, count))

Review comment:
   shall we just use `child.dataType`?




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[GitHub] [spark] cloud-fan commented on a change in pull request #32470: [WIP] Simplify ResolveAggregateFunctions

2021-06-10 Thread GitBox


cloud-fan commented on a change in pull request #32470:
URL: https://github.com/apache/spark/pull/32470#discussion_r649008968



##
File path: 
sql/core/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.sf100/explain.txt
##
@@ -306,11 +306,11 @@ Input [19]: [ca_state#25, cd_gender#29, 
cd_marital_status#30, cd_dep_count#31, c
 Keys [6]: [ca_state#25, cd_gender#29, cd_marital_status#30, cd_dep_count#31, 
cd_dep_employed_count#32, cd_dep_college_count#33]
 Functions [10]: [count(1), min(cd_dep_count#31), max(cd_dep_count#31), 
avg(cd_dep_count#31), min(cd_dep_employed_count#32), 
max(cd_dep_employed_count#32), avg(cd_dep_employed_count#32), 
min(cd_dep_college_count#33), max(cd_dep_college_count#33), 
avg(cd_dep_college_count#33)]
 Aggregate Attributes [10]: [count(1)#62, min(cd_dep_count#31)#63, 
max(cd_dep_count#31)#64, avg(cd_dep_count#31)#65, 
min(cd_dep_employed_count#32)#66, max(cd_dep_employed_count#32)#67, 
avg(cd_dep_employed_count#32)#68, min(cd_dep_college_count#33)#69, 
max(cd_dep_college_count#33)#70, avg(cd_dep_college_count#33)#71]
-Results [18]: [ca_state#25, cd_gender#29, cd_marital_status#30, count(1)#62 AS 
cnt1#72, min(cd_dep_count#31)#63 AS min(cd_dep_count)#73, 
max(cd_dep_count#31)#64 AS max(cd_dep_count)#74, avg(cd_dep_count#31)#65 AS 
avg(cd_dep_count)#75, cd_dep_employed_count#32, count(1)#62 AS cnt2#76, 
min(cd_dep_employed_count#32)#66 AS min(cd_dep_employed_count)#77, 
max(cd_dep_employed_count#32)#67 AS max(cd_dep_employed_count)#78, 
avg(cd_dep_employed_count#32)#68 AS avg(cd_dep_employed_count)#79, 
cd_dep_college_count#33, count(1)#62 AS cnt3#80, 
min(cd_dep_college_count#33)#69 AS min(cd_dep_college_count)#81, 
max(cd_dep_college_count#33)#70 AS max(cd_dep_college_count)#82, 
avg(cd_dep_college_count#33)#71 AS avg(cd_dep_college_count)#83, 
cd_dep_count#31 AS aggOrder#84]

Review comment:
   the only change is the removed alias




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[GitHub] [spark] tanelk commented on pull request #32862: [SPARK-35695][SQL] Collect observed metrics from cached sub-tree

2021-06-10 Thread GitBox


tanelk commented on pull request #32862:
URL: https://github.com/apache/spark/pull/32862#issuecomment-858494892


   Pinging @cloud-fan , @sarutak 


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* This patch **fails RAT tests**.
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* This patch adds no public classes.


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[GitHub] [spark] dgd-contributor commented on pull request #32839: [SPARK-35679][SQL] instantToMicros overflow

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dgd-contributor commented on pull request #32839:
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   Thanks @MaxGekk @cloud-fan @gengliangwang for supporting


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[GitHub] [spark] zhengruifeng commented on pull request #32857: [SPARK-35707][ML] optimize sparse GEMM by skipping bound checking

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zhengruifeng commented on pull request #32857:
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[GitHub] [spark] SparkQA commented on pull request #32855: [SPARK-34524][SQL][FOLLOWUP] Remove unused checkAlterTablePartition in CheckAnalysis.scala

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[GitHub] [spark] SparkQA commented on pull request #32816: [SPARK-33832][SQL] Support optimize skewed join even if introduce extra shuffle

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[GitHub] [spark] wangyum commented on pull request #32852: [SPARK-35283][SQL] Support query some DDL with CTES

2021-06-10 Thread GitBox


wangyum commented on pull request #32852:
URL: https://github.com/apache/spark/pull/32852#issuecomment-858417308


   This is MySQL syntax:
   ```
   mysql> SHOW CHARACTER SET WHERE `Default collation` LIKE '%japanese%';
   +-+---+-++
   | Charset | Description   | Default collation   | Maxlen |
   +-+---+-++
   | ujis| EUC-JP Japanese   | ujis_japanese_ci|  3 |
   | sjis| Shift-JIS Japanese| sjis_japanese_ci|  2 |
   | cp932   | SJIS for Windows Japanese | cp932_japanese_ci   |  2 |
   | eucjpms | UJIS for Windows Japanese | eucjpms_japanese_ci |  3 |
   +-+---+-++
   ```
   https://dev.mysql.com/doc/refman/8.0/en/extended-show.html


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[GitHub] [spark] SparkQA commented on pull request #30691: [SPARK-32920][SHUFFLE] Finalization of Shuffle push/merge with Push based shuffle and preparation step for the reduce stage

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[GitHub] [spark] AmplabJenkins commented on pull request #32858: [SPARK-35706][SQL]Consider making the ':' in STRUCT data type definit…

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[GitHub] [spark] SparkQA commented on pull request #32852: [SPARK-35283][SQL] Support query some DDL with CTES

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[GitHub] [spark] SparkQA commented on pull request #32821: [SPARK-35342][PYTHON] Introduce DecimalOps

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SparkQA commented on pull request #32821:
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* This patch passes all tests.
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[GitHub] [spark] SparkQA commented on pull request #32859: [SPARK-35708][PYTHON][TEST] Add BaseTest for DataTypeOps

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[GitHub] [spark] jerqi opened a new pull request #32856: [SPARK-35706][SQL]Consider making the ':' in STRUCT data type definition optional

2021-06-10 Thread GitBox


jerqi opened a new pull request #32856:
URL: https://github.com/apache/spark/pull/32856


   ### What changes were proposed in this pull request?
   The STRUCT type syntax is defined like this:
   
   STRUCT(fieldNmae: fileType [NOT NULL][COMMENT stringLiteral][,.])
   
   So the field list is NEARLY the same as a column list
   
   if we could make ':' optional it would be so much cleaner an less proprietary
   
   
   ### Why are the changes needed?
   ease of use
   
   
   ### Does this PR introduce _any_ user-facing change?
   No
   
   ### How was this patch tested?
   unit tests
   


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[GitHub] [spark] SparkQA commented on pull request #32854: [SPARK-34320][SQL] Migrate ALTER TABLE DROP COLUMNS commands to use UnresolvedTable to resolve the identifier

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[GitHub] [spark] AmplabJenkins commented on pull request #32853: [SPARK-35683][PYTHON] Fix Index.difference to avoid collect 'other' to driver side

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[GitHub] [spark] AmplabJenkins commented on pull request #32821: [SPARK-35342][PYTHON] Introduce DecimalOps

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[GitHub] [spark] AmplabJenkins removed a comment on pull request #30691: [SPARK-32920][SHUFFLE] Finalization of Shuffle push/merge with Push based shuffle and preparation step for the reduce stage

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[GitHub] [spark] viirya commented on pull request #32828: [SPARK-35689][SS] Add log warn when keyWithIndexToValue returns null value

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viirya commented on pull request #32828:
URL: https://github.com/apache/spark/pull/32828#issuecomment-858400846


   Added test. Please take look. Thanks. @HeartSaVioR @dongjoon-hyun 


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[GitHub] [spark] SparkQA commented on pull request #32855: [SPARK-34524][SQL][FOLLOWUP] Remove unused checkAlterTablePartition in CheckAnalysis.scala

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[GitHub] [spark] AmplabJenkins commented on pull request #32821: [SPARK-35342][PYTHON] Introduce DecimalOps

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