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

    https://github.com/apache/spark/pull/6810#discussion_r33523518
  
    --- Diff: 
sql/core/src/test/scala/org/apache/spark/sql/execution/AggregateSuite.scala ---
    @@ -0,0 +1,59 @@
    +/*
    + * 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.SQLConf
    +import org.apache.spark.sql.catalyst.expressions._
    +import org.apache.spark.sql.test.TestSQLContext
    +import org.apache.spark.sql.types.DataTypes._
    +
    +class AggregateSuite extends SparkPlanTest {
    +
    +  test("SPARK-8357 Memory leakage on unsafe aggregation path with empty 
input") {
    +
    +    val input0 = Seq.empty[(String, Int, Double)]
    +    val input1 = Seq(("Hello", 4, 2.0))
    +
    +    // hack : current default parallelism of test local backend is two
    +    val x0 = Seq(Tuple1(0L), Tuple1(0L))
    +    val y0 = Seq.empty[Tuple1[Long]]
    +
    +    val x1 = Seq(Tuple1(0L), Tuple1(1L))
    +    val y1 = Seq(Tuple1(1L))
    +
    +    val codegenDefault = TestSQLContext.getConf(SQLConf.CODEGEN_ENABLED)
    +    try {
    +      for ((input, x, y) <- Seq((input0, x0, y0), (input1, x1, y1))) {
    +        val df = input.toDF("a", "b", "c")
    +        val colB = df.col("b").expr
    +        val colC = df.col("c").expr
    +        val aggrExpr = Alias(Count(Cast(colC, LongType)), "Count")()
    +
    +        for ((codegen, unsafe) <- Seq((false, false), (true, false), 
(true, true));
    +             partial <- Seq(false, true); groupExpr <- Seq(colB :: Nil, 
Seq.empty)) {
    --- End diff --
    
    Style nit: put each nested loop on its own line (e.g. one <- per line, 
since that's easier to read).  Also, I think `Seq(Seq(colB), Seq.empty)` is a 
bit more readable.


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