Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/21432#discussion_r191062584
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/GroupedDatasetSuite.scala ---
@@ -0,0 +1,98 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql
+
+import org.scalatest.Assertion
+
+import org.apache.spark.api.python.PythonEvalType
+import org.apache.spark.sql.catalyst.expressions.PythonUDF
+import org.apache.spark.sql.catalyst.plans.logical.AnalysisBarrier
+import org.apache.spark.sql.functions.udf
+import org.apache.spark.sql.test.SharedSQLContext
+import org.apache.spark.sql.types.{LongType, StructField, StructType}
+
+class GroupedDatasetSuite extends QueryTest with SharedSQLContext {
+ import testImplicits._
+
+ private val scalaUDF = udf((x: Long) => { x + 1 })
+ private lazy val datasetWithUDF = spark.range(1).toDF("s").select($"s",
scalaUDF($"s"))
+
+ private def assertContainsAnalysisBarrier(ds: Dataset[_], atLevel: Int =
1): Assertion = {
--- End diff --
`withinLevel`? From the test code, seems it doesn't expect a barrier
exactly at the level but within the level?
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
