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[SPARK-7462] By default retain group by columns in aggregate
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188 changes: 188 additions & 0 deletions
188
sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
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| /* | ||
| * 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. | ||
| */ | ||
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| package org.apache.spark.sql | ||
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| import org.apache.spark.sql.TestData._ | ||
| import org.apache.spark.sql.functions._ | ||
| import org.apache.spark.sql.test.TestSQLContext | ||
| import org.apache.spark.sql.test.TestSQLContext.implicits._ | ||
| import org.apache.spark.sql.types.DecimalType | ||
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| class DataFrameAggregateSuite extends QueryTest { | ||
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| test("groupBy") { | ||
| checkAnswer( | ||
| testData2.groupBy("a").agg(sum($"b")), | ||
| Seq(Row(1, 3), Row(2, 3), Row(3, 3)) | ||
| ) | ||
| checkAnswer( | ||
| testData2.groupBy("a").agg(sum($"b").as("totB")).agg(sum('totB)), | ||
| Row(9) | ||
| ) | ||
| checkAnswer( | ||
| testData2.groupBy("a").agg(count("*")), | ||
| Row(1, 2) :: Row(2, 2) :: Row(3, 2) :: Nil | ||
| ) | ||
| checkAnswer( | ||
| testData2.groupBy("a").agg(Map("*" -> "count")), | ||
| Row(1, 2) :: Row(2, 2) :: Row(3, 2) :: Nil | ||
| ) | ||
| checkAnswer( | ||
| testData2.groupBy("a").agg(Map("b" -> "sum")), | ||
| Row(1, 3) :: Row(2, 3) :: Row(3, 3) :: Nil | ||
| ) | ||
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| val df1 = Seq(("a", 1, 0, "b"), ("b", 2, 4, "c"), ("a", 2, 3, "d")) | ||
| .toDF("key", "value1", "value2", "rest") | ||
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| checkAnswer( | ||
| df1.groupBy("key").min(), | ||
| df1.groupBy("key").min("value1", "value2").collect() | ||
| ) | ||
| checkAnswer( | ||
| df1.groupBy("key").min("value2"), | ||
| Seq(Row("a", 0), Row("b", 4)) | ||
| ) | ||
| } | ||
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| test("spark.sql.retainGroupColumns config") { | ||
| checkAnswer( | ||
| testData2.groupBy("a").agg(sum($"b")), | ||
| Seq(Row(1, 3), Row(2, 3), Row(3, 3)) | ||
| ) | ||
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| TestSQLContext.conf.setConf("spark.sql.retainGroupColumns", "false") | ||
| checkAnswer( | ||
| testData2.groupBy("a").agg(sum($"b")), | ||
| Seq(Row(3), Row(3), Row(3)) | ||
| ) | ||
| TestSQLContext.conf.setConf("spark.sql.retainGroupColumns", "true") | ||
| } | ||
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| test("agg without groups") { | ||
| checkAnswer( | ||
| testData2.agg(sum('b)), | ||
| Row(9) | ||
| ) | ||
| } | ||
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| test("average") { | ||
| checkAnswer( | ||
| testData2.agg(avg('a)), | ||
| Row(2.0)) | ||
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| checkAnswer( | ||
| testData2.agg(avg('a), sumDistinct('a)), // non-partial | ||
| Row(2.0, 6.0) :: Nil) | ||
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| checkAnswer( | ||
| decimalData.agg(avg('a)), | ||
| Row(new java.math.BigDecimal(2.0))) | ||
| checkAnswer( | ||
| decimalData.agg(avg('a), sumDistinct('a)), // non-partial | ||
| Row(new java.math.BigDecimal(2.0), new java.math.BigDecimal(6)) :: Nil) | ||
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| checkAnswer( | ||
| decimalData.agg(avg('a cast DecimalType(10, 2))), | ||
| Row(new java.math.BigDecimal(2.0))) | ||
| // non-partial | ||
| checkAnswer( | ||
| decimalData.agg(avg('a cast DecimalType(10, 2)), sumDistinct('a cast DecimalType(10, 2))), | ||
| Row(new java.math.BigDecimal(2.0), new java.math.BigDecimal(6)) :: Nil) | ||
| } | ||
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| test("null average") { | ||
| checkAnswer( | ||
| testData3.agg(avg('b)), | ||
| Row(2.0)) | ||
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| checkAnswer( | ||
| testData3.agg(avg('b), countDistinct('b)), | ||
| Row(2.0, 1)) | ||
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| checkAnswer( | ||
| testData3.agg(avg('b), sumDistinct('b)), // non-partial | ||
| Row(2.0, 2.0)) | ||
| } | ||
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| test("zero average") { | ||
| val emptyTableData = Seq.empty[(Int, Int)].toDF("a", "b") | ||
| checkAnswer( | ||
| emptyTableData.agg(avg('a)), | ||
| Row(null)) | ||
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| checkAnswer( | ||
| emptyTableData.agg(avg('a), sumDistinct('b)), // non-partial | ||
| Row(null, null)) | ||
| } | ||
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| test("count") { | ||
| assert(testData2.count() === testData2.map(_ => 1).count()) | ||
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| checkAnswer( | ||
| testData2.agg(count('a), sumDistinct('a)), // non-partial | ||
| Row(6, 6.0)) | ||
| } | ||
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| test("null count") { | ||
| checkAnswer( | ||
| testData3.groupBy('a).agg(count('b)), | ||
| Seq(Row(1,0), Row(2, 1)) | ||
| ) | ||
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| checkAnswer( | ||
| testData3.groupBy('a).agg(count('a + 'b)), | ||
| Seq(Row(1,0), Row(2, 1)) | ||
| ) | ||
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| checkAnswer( | ||
| testData3.agg(count('a), count('b), count(lit(1)), countDistinct('a), countDistinct('b)), | ||
| Row(2, 1, 2, 2, 1) | ||
| ) | ||
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| checkAnswer( | ||
| testData3.agg(count('b), countDistinct('b), sumDistinct('b)), // non-partial | ||
| Row(1, 1, 2) | ||
| ) | ||
| } | ||
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| test("zero count") { | ||
| val emptyTableData = Seq.empty[(Int, Int)].toDF("a", "b") | ||
| assert(emptyTableData.count() === 0) | ||
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| checkAnswer( | ||
| emptyTableData.agg(count('a), sumDistinct('a)), // non-partial | ||
| Row(0, null)) | ||
| } | ||
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| test("zero sum") { | ||
| val emptyTableData = Seq.empty[(Int, Int)].toDF("a", "b") | ||
| checkAnswer( | ||
| emptyTableData.agg(sum('a)), | ||
| Row(null)) | ||
| } | ||
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| test("zero sum distinct") { | ||
| val emptyTableData = Seq.empty[(Int, Int)].toDF("a", "b") | ||
| checkAnswer( | ||
| emptyTableData.agg(sumDistinct('a)), | ||
| Row(null)) | ||
| } | ||
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| } |
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