You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/06/27 21:24:36 UTC

[GitHub] [spark] frankyin-factual commented on a change in pull request #28898: [SPARK-32059][SQL] Allow nested schema pruning thru window/sort/filter plans

frankyin-factual commented on a change in pull request #28898:
URL: https://github.com/apache/spark/pull/28898#discussion_r446568773



##########
File path: sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasingSuite.scala
##########
@@ -493,6 +491,58 @@ class NestedColumnAliasingSuite extends SchemaPruningTest {
     comparePlans(optimized3, expected3)
   }
 
+  test("Nested field pruning for window functions") {
+    val spec = windowSpec($"address" :: Nil, $"id".asc :: Nil, UnspecifiedFrame)
+    val winExpr = windowExpr(RowNumber().toAggregateExpression(), spec)
+    val query = contact.select($"name.first", winExpr.as('window))
+      .where($"window" === 1 && $"name.first" === "a")
+      .analyze
+    val optimized = Optimize.execute(query)
+    val aliases = collectGeneratedAliases(optimized)
+    val expected = contact
+      .select($"name.first", $"address", $"id", $"name.first".as(aliases(1)))
+      .window(Seq(winExpr.as("window")), Seq($"address"), Seq($"id".asc))
+      .select($"first", $"${aliases(1)}".as(aliases(0)), $"window")
+      .where($"window" === 1 && $"${aliases(0)}" === "a")
+      .select($"first", $"window")
+      .analyze
+    comparePlans(optimized, expected)
+  }
+
+  test("Nested field pruning for orderBy") {

Review comment:
       Want to cover some cases that generate a `LogicalPlan` of `Sort`. I will move both under one test. 




----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:
users@infra.apache.org



---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org