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[GitHub] [spark] dhirennavani opened a new pull request #34450: [SPARK-37171][SQL]Add forany and forall to Datasets/Dataframes
dhirennavani opened a new pull request #34450:
URL: https://github.com/apache/spark/pull/34450
Add forany and forall api for Dataframe/Datasets API
To provide a higher level of abstraction for Spark customers
Yes, forany and forall methods are added to the Dataframe/Dataset API
Added new unit tests
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[GitHub] [spark] AmplabJenkins commented on pull request #34450: [SPARK-37171][SQL]Add forany and forall to Datasets/Dataframes
Posted by GitBox <gi...@apache.org>.
AmplabJenkins commented on pull request #34450:
URL: https://github.com/apache/spark/pull/34450#issuecomment-955634907
Can one of the admins verify this patch?
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[GitHub] [spark] dhirennavani commented on pull request #34450: [SPARK-37171][SQL]Add forany and forall to Datasets/Dataframes
Posted by GitBox <gi...@apache.org>.
dhirennavani commented on pull request #34450:
URL: https://github.com/apache/spark/pull/34450#issuecomment-955748248
I have mentioned in the ticket the potential for implementing the unoptimized version and provide a little higher abstraction.
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[GitHub] [spark] srowen commented on a change in pull request #34450: [SPARK-37171][SQL]Add forany and forall to Datasets/Dataframes
Posted by GitBox <gi...@apache.org>.
srowen commented on a change in pull request #34450:
URL: https://github.com/apache/spark/pull/34450#discussion_r739854455
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
##########
@@ -1638,6 +1638,58 @@ class Dataset[T] private[sql](
c5: TypedColumn[T, U5]): Dataset[(U1, U2, U3, U4, U5)] =
selectUntyped(c1, c2, c3, c4, c5).asInstanceOf[Dataset[(U1, U2, U3, U4, U5)]]
+ /**
+ * Checks if the condition is true for any of the rows.
+ * {{{
+ * peopleDs.forany($"age" > 15)
+ * }}}
+ *
+ * @group typedrel
+ * @since 3.2.0
Review comment:
This can't be since 3.2.0
This would have to be in R, Scala APIs too
But this doesn't seem worth it - it isn't faster to execute
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[GitHub] [spark] srowen commented on pull request #34450: [SPARK-37171][SQL]Add forany and forall to Datasets/Dataframes
Posted by GitBox <gi...@apache.org>.
srowen commented on pull request #34450:
URL: https://github.com/apache/spark/pull/34450#issuecomment-955705044
Why add these?
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[GitHub] [spark] dhirennavani commented on a change in pull request #34450: [SPARK-37171][SQL]Add forany and forall to Datasets/Dataframes
Posted by GitBox <gi...@apache.org>.
dhirennavani commented on a change in pull request #34450:
URL: https://github.com/apache/spark/pull/34450#discussion_r739858455
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
##########
@@ -1638,6 +1638,58 @@ class Dataset[T] private[sql](
c5: TypedColumn[T, U5]): Dataset[(U1, U2, U3, U4, U5)] =
selectUntyped(c1, c2, c3, c4, c5).asInstanceOf[Dataset[(U1, U2, U3, U4, U5)]]
+ /**
+ * Checks if the condition is true for any of the rows.
+ * {{{
+ * peopleDs.forany($"age" > 15)
+ * }}}
+ *
+ * @group typedrel
+ * @since 3.2.0
Review comment:
No problems :)
i will close the PR
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[GitHub] [spark] dhirennavani commented on a change in pull request #34450: [SPARK-37171][SQL]Add forany and forall to Datasets/Dataframes
Posted by GitBox <gi...@apache.org>.
dhirennavani commented on a change in pull request #34450:
URL: https://github.com/apache/spark/pull/34450#discussion_r739855090
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
##########
@@ -1638,6 +1638,58 @@ class Dataset[T] private[sql](
c5: TypedColumn[T, U5]): Dataset[(U1, U2, U3, U4, U5)] =
selectUntyped(c1, c2, c3, c4, c5).asInstanceOf[Dataset[(U1, U2, U3, U4, U5)]]
+ /**
+ * Checks if the condition is true for any of the rows.
+ * {{{
+ * peopleDs.forany($"age" > 15)
+ * }}}
+ *
+ * @group typedrel
+ * @since 3.2.0
Review comment:
That’s true. So do you recommend we drop this as it would be too much to implement in R and Python?
I believe the code is for Scala API.
Just FYI, isEmpty method is absent in Python API although present in Scala API.
Let me know if we still wanna go forward, I can change the version then. If you let me know the right version.
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[GitHub] [spark] srowen commented on a change in pull request #34450: [SPARK-37171][SQL]Add forany and forall to Datasets/Dataframes
Posted by GitBox <gi...@apache.org>.
srowen commented on a change in pull request #34450:
URL: https://github.com/apache/spark/pull/34450#discussion_r739858329
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
##########
@@ -1638,6 +1638,58 @@ class Dataset[T] private[sql](
c5: TypedColumn[T, U5]): Dataset[(U1, U2, U3, U4, U5)] =
selectUntyped(c1, c2, c3, c4, c5).asInstanceOf[Dataset[(U1, U2, U3, U4, U5)]]
+ /**
+ * Checks if the condition is true for any of the rows.
+ * {{{
+ * peopleDs.forany($"age" > 15)
+ * }}}
+ *
+ * @group typedrel
+ * @since 3.2.0
Review comment:
Sorry yes I meant Python/R. I don't think this is worthwhile if it isn't optimizing or saving the caller much code
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[GitHub] [spark] dhirennavani closed pull request #34450: [SPARK-37171][SQL]Add forany and forall to Datasets/Dataframes
Posted by GitBox <gi...@apache.org>.
dhirennavani closed pull request #34450:
URL: https://github.com/apache/spark/pull/34450
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