Github user hvanhovell commented on a diff in the pull request:

    https://github.com/apache/spark/pull/13494#discussion_r70252043
  
    --- Diff: 
sql/core/src/test/scala/org/apache/spark/sql/execution/OptimizeMetadataOnlyQuerySuite.scala
 ---
    @@ -0,0 +1,153 @@
    +/*
    + * 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.execution
    +
    +import org.apache.spark.sql._
    +import org.apache.spark.sql.catalyst.plans.logical.LocalRelation
    +import org.apache.spark.sql.internal.SQLConf
    +import org.apache.spark.sql.test.SharedSQLContext
    +
    +class OptimizeMetadataOnlyQuerySuite extends QueryTest with 
SharedSQLContext {
    +  import testImplicits._
    +
    +  override def beforeAll(): Unit = {
    +    super.beforeAll()
    +    val data = (1 to 10).map(i => (i, s"data-$i", i % 2, if ((i % 2) == 0) 
"even" else "odd"))
    +      .toDF("col1", "col2", "partcol1", "partcol2")
    +    data.write.partitionBy("partcol1", 
"partcol2").mode("append").saveAsTable("srcpart")
    +  }
    +
    +  override protected def afterAll(): Unit = {
    +    try {
    +      sql("DROP TABLE IF EXISTS srcpart")
    +    } finally {
    +      super.afterAll()
    +    }
    +  }
    +
    +  private def assertMetadataOnlyQuery(df: DataFrame): Unit = {
    +    val localRelations = df.queryExecution.optimizedPlan.collect {
    +      case l @ LocalRelation(_, _) => l
    +    }
    +    assert(localRelations.size == 1)
    +  }
    +
    +  private def assertNotMetadataOnlyQuery(df: DataFrame): Unit = {
    +    val localRelations = df.queryExecution.optimizedPlan.collect {
    +      case l @ LocalRelation(_, _) => l
    +    }
    +    assert(localRelations.size == 0)
    +  }
    +
    +  test("OptimizeMetadataOnlyQuery test: aggregate expression is partition 
columns") {
    --- End diff --
    
    That is not what I mean. I all for thorough testing, however the structure 
the same everywhere. You could generalize this (and improve readability), e.g.:
    ```scala
    def testMetadataOnly(name: String, sql: String*): Unit = {
      test(name) {
        withSQLConf(SQLConf.OPTIMIZER_METADATA_ONLY.key -> "true") {
          sqls.foreach(assertMetadataOnlyQuery(sql(_)))
        }
        withSQLConf(SQLConf.OPTIMIZER_METADATA_ONLY.key -> "false") {
          sqls.foreach(assertNotMetadataOnlyQuery(sql(_)))
        }
      }
    }
    
    testMetadataOnly(
      "OptimizeMetadataOnlyQuery test: aggregate expression is partition 
columns", 
      "select partcol1 from srcpart group by partcol1",
      "select partcol2 from srcpart where partcol1 = 0 group by partcol2")
    ```


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