From d678aee3e1498c88c614e90240c4ce95169089a6 Mon Sep 17 00:00:00 2001
From: Yin Huai <yhuai@databricks.com>
Date: Sun, 19 Jul 2015 22:04:51 -0700
Subject: [PATCH] Remove AggregateExpressionSuite.scala since our built-in
 aggregate functions will be based on AlgebraicAggregate and we need to have
 another way to test it.

---
 .../aggregate2/AggregateExpressionSuite.scala | 75 -------------------
 1 file changed, 75 deletions(-)
 delete mode 100644 sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate2/AggregateExpressionSuite.scala

diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate2/AggregateExpressionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate2/AggregateExpressionSuite.scala
deleted file mode 100644
index 08095bdfa4aa9..0000000000000
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate2/AggregateExpressionSuite.scala
+++ /dev/null
@@ -1,75 +0,0 @@
-/*
- * 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.catalyst.expressions.aggregate2
-
-import org.apache.spark.SparkFunSuite
-import org.apache.spark.sql.catalyst.expressions.{GenericMutableRow, BoundReference, Literal, ExpressionEvalHelper}
-import org.apache.spark.sql.types._
-
-class AggregateExpressionSuite extends SparkFunSuite with ExpressionEvalHelper {
-
-  test("Average") {
-    val inputValues = Array(Int.MaxValue, null, 1000, Int.MinValue, 2)
-    val avg = Average(child = BoundReference(0, IntegerType, true))
-    avg.bufferOffset = 2
-    val inputRow = new GenericMutableRow(1)
-    val buffer = new GenericMutableRow(4)
-    avg.initialize(buffer)
-
-    // We there is no input data, average should return null.
-    assert(avg.eval(buffer) === null)
-    // When input values are all nulls, average should return null.
-    var i = 0
-    while (i < 10) {
-      inputRow.update(0, null)
-      avg.update(inputRow, buffer)
-      i += 1
-    }
-    assert(avg.eval(buffer) === null)
-
-    // Add some values.
-    i = 0
-    while (i < inputValues.length) {
-      inputRow.update(0, inputValues(i))
-      avg.update(buffer, inputRow)
-      i += 1
-    }
-    assert(avg.eval(buffer) === 1001 / 4.0)
-
-    // eval should not reset the buffer
-    assert(buffer(2) === 1001L)
-    assert(buffer(3) === 4L)
-    assert(avg.eval(buffer) === 1001 / 4.0)
-
-    // Merge with a just initialized buffer.
-    val inputBuffer = new GenericMutableRow(4)
-    avg.initialize(inputBuffer)
-    avg.merge(buffer, inputBuffer)
-    assert(buffer(2) === 1001L)
-    assert(buffer(3) === 4L)
-    assert(avg.eval(buffer) === 1001 / 4.0)
-
-    // Merge with a buffer containing partial results.
-    inputBuffer.update(2, 2000.0)
-    inputBuffer.update(3, 10L)
-    avg.merge(buffer, inputBuffer)
-    assert(buffer(2) === 3001L)
-    assert(buffer(3) === 14L)
-    assert(avg.eval(buffer) === 3001 / 14.0)
-  }
-}