[jira] [Assigned] (SPARK-33045) Implement built-in LIKE ANY and LIKE ALL UDF

2020-11-19 Thread Wenchen Fan (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-33045?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wenchen Fan reassigned SPARK-33045:
---

Assignee: jiaan.geng

> Implement built-in LIKE ANY and LIKE ALL UDF
> 
>
> Key: SPARK-33045
> URL: https://issues.apache.org/jira/browse/SPARK-33045
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 3.1.0
>Reporter: Yuming Wang
>Assignee: jiaan.geng
>Priority: Major
>
> We already support LIKE ANY / SOME / ALL syntax, but it will throw 
> {{StackOverflowError}} if there are many elements(more than 14378 elements). 
> We should implement built-in LIKE ANY and LIKE ALL UDF to fix this issue.
> {noformat}
> java.lang.StackOverflowError
>   at 
> scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
>   at 
> scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
>   at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:38)
>   at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
>   at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
>   at 
> scala.collection.mutable.ListBuffer.$plus$plus$eq(ListBuffer.scala:184)
>   at 
> scala.collection.mutable.ListBuffer.$plus$plus$eq(ListBuffer.scala:47)
>   at 
> scala.collection.generic.GenericCompanion.apply(GenericCompanion.scala:53)
>   at 
> org.apache.spark.sql.catalyst.expressions.BinaryExpression.children(Expression.scala:549)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.foreach(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1$adapted(TreeNode.scala:175)
>   at scala.collection.immutable.List.foreach(List.scala:392)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.foreach(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1$adapted(TreeNode.scala:175)
>   at scala.collection.immutable.List.foreach(List.scala:392)
> {noformat}



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Assigned] (SPARK-33045) Implement built-in LIKE ANY and LIKE ALL UDF

2020-10-10 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-33045?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33045:


Assignee: (was: Apache Spark)

> Implement built-in LIKE ANY and LIKE ALL UDF
> 
>
> Key: SPARK-33045
> URL: https://issues.apache.org/jira/browse/SPARK-33045
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 3.1.0
>Reporter: Yuming Wang
>Priority: Major
>
> We already support LIKE ANY / SOME / ALL syntax, but it will throw 
> {{StackOverflowError}} if there are many elements(more than 14378 elements). 
> We should implement built-in LIKE ANY and LIKE ALL UDF to fix this issue.
> {noformat}
> java.lang.StackOverflowError
>   at 
> scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
>   at 
> scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
>   at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:38)
>   at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
>   at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
>   at 
> scala.collection.mutable.ListBuffer.$plus$plus$eq(ListBuffer.scala:184)
>   at 
> scala.collection.mutable.ListBuffer.$plus$plus$eq(ListBuffer.scala:47)
>   at 
> scala.collection.generic.GenericCompanion.apply(GenericCompanion.scala:53)
>   at 
> org.apache.spark.sql.catalyst.expressions.BinaryExpression.children(Expression.scala:549)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.foreach(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1$adapted(TreeNode.scala:175)
>   at scala.collection.immutable.List.foreach(List.scala:392)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.foreach(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1$adapted(TreeNode.scala:175)
>   at scala.collection.immutable.List.foreach(List.scala:392)
> {noformat}



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Assigned] (SPARK-33045) Implement built-in LIKE ANY and LIKE ALL UDF

2020-10-10 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-33045?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33045:


Assignee: Apache Spark

> Implement built-in LIKE ANY and LIKE ALL UDF
> 
>
> Key: SPARK-33045
> URL: https://issues.apache.org/jira/browse/SPARK-33045
> Project: Spark
>  Issue Type: Improvement
>  Components: SQL
>Affects Versions: 3.1.0
>Reporter: Yuming Wang
>Assignee: Apache Spark
>Priority: Major
>
> We already support LIKE ANY / SOME / ALL syntax, but it will throw 
> {{StackOverflowError}} if there are many elements(more than 14378 elements). 
> We should implement built-in LIKE ANY and LIKE ALL UDF to fix this issue.
> {noformat}
> java.lang.StackOverflowError
>   at 
> scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
>   at 
> scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
>   at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:38)
>   at scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62)
>   at scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
>   at 
> scala.collection.mutable.ListBuffer.$plus$plus$eq(ListBuffer.scala:184)
>   at 
> scala.collection.mutable.ListBuffer.$plus$plus$eq(ListBuffer.scala:47)
>   at 
> scala.collection.generic.GenericCompanion.apply(GenericCompanion.scala:53)
>   at 
> org.apache.spark.sql.catalyst.expressions.BinaryExpression.children(Expression.scala:549)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.foreach(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1$adapted(TreeNode.scala:175)
>   at scala.collection.immutable.List.foreach(List.scala:392)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.foreach(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1(TreeNode.scala:175)
>   at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreach$1$adapted(TreeNode.scala:175)
>   at scala.collection.immutable.List.foreach(List.scala:392)
> {noformat}



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org