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Posted to reviews@spark.apache.org by "zhenlineo (via GitHub)" <gi...@apache.org> on 2023/03/14 09:54:47 UTC

[GitHub] [spark] zhenlineo opened a new pull request, #40413: [WIP]Typed selected

zhenlineo opened a new pull request, #40413:
URL: https://github.com/apache/spark/pull/40413

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[GitHub] [spark] hvanhovell closed pull request #40413: [SPARK-42786][Connect] Typed Select

Posted by "hvanhovell (via GitHub)" <gi...@apache.org>.
hvanhovell closed pull request #40413: [SPARK-42786][Connect] Typed Select
URL: https://github.com/apache/spark/pull/40413


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[GitHub] [spark] hvanhovell commented on a diff in pull request #40413: [WIP]Typed Select

Posted by "hvanhovell (via GitHub)" <gi...@apache.org>.
hvanhovell commented on code in PR #40413:
URL: https://github.com/apache/spark/pull/40413#discussion_r1135341292


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala:
##########
@@ -107,6 +108,51 @@ object AgnosticEncoders {
     override def dataType: DataType = schema
   }
 
+  case class TupleEncoder[T](

Review Comment:
   @zhenlineo we should be able to use `ProductEncoder` for this.



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[GitHub] [spark] hvanhovell commented on pull request #40413: [SPARK-42786][Connect] Typed Select

Posted by "hvanhovell (via GitHub)" <gi...@apache.org>.
hvanhovell commented on PR #40413:
URL: https://github.com/apache/spark/pull/40413#issuecomment-1478874829

   Merging to master!


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[GitHub] [spark] hvanhovell commented on a diff in pull request #40413: [SPARK-42786][Connect] Typed Select

Posted by "hvanhovell (via GitHub)" <gi...@apache.org>.
hvanhovell commented on code in PR #40413:
URL: https://github.com/apache/spark/pull/40413#discussion_r1142014337


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala:
##########
@@ -107,6 +108,16 @@ object AgnosticEncoders {
     override def dataType: DataType = schema
   }
 
+  object ProductEncoder {
+    def tuple(encoders: Seq[AgnosticEncoder[_]]): AgnosticEncoder[_] = {
+      val fields = encoders.zipWithIndex.map {
+        case (e, id) => EncoderField(s"_${id + 1}", e, e.nullable, Metadata.empty)
+      }
+      val cls = Utils.getContextOrSparkClassLoader.loadClass(s"scala.Tuple${encoders.size}")

Review Comment:
   Can we try to cache this? 



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[GitHub] [spark] hvanhovell commented on a diff in pull request #40413: [SPARK-42786][Connect] Typed Select

Posted by "hvanhovell (via GitHub)" <gi...@apache.org>.
hvanhovell commented on code in PR #40413:
URL: https://github.com/apache/spark/pull/40413#discussion_r1140760114


##########
connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/Dataset.scala:
##########
@@ -1084,6 +1084,68 @@ class Dataset[T] private[sql] (
     }
   }
 
+  /**
+   * Internal helper function for building typed selects that return tuples. For simplicity and
+   * code reuse, we do this without the help of the type system and then use helper functions that
+   * cast appropriately for the user facing interface.
+   */
+  private def selectUntyped(columns: TypedColumn[_, _]*): Dataset[_] = {
+    val encoder = ProductEncoder.tuple(columns.map(_.encoder))
+    sparkSession.newDataset(encoder) { builder =>

Review Comment:
   Nit you could make this is a bit DRYer if you combine some of the code with select.



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[GitHub] [spark] zhenlineo commented on a diff in pull request #40413: [WIP]Typed Select

Posted by "zhenlineo (via GitHub)" <gi...@apache.org>.
zhenlineo commented on code in PR #40413:
URL: https://github.com/apache/spark/pull/40413#discussion_r1135374328


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/AgnosticEncoder.scala:
##########
@@ -107,6 +108,51 @@ object AgnosticEncoders {
     override def dataType: DataType = schema
   }
 
+  case class TupleEncoder[T](

Review Comment:
   Done. Any special case we missed?



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