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94
...en-ut/spark32/src/test/scala/org/apache/spark/sql/execution/GlutenSQLRangeExecSuite.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.execution | ||
|
|
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| import org.apache.gluten.execution.RangeExecTransformer | ||
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| import org.apache.spark.sql.GlutenSQLTestsTrait | ||
| import org.apache.spark.sql.Row | ||
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| class GlutenSQLRangeExecSuite extends GlutenSQLTestsTrait { | ||
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| testGluten("RangeExecTransformer produces correct results") { | ||
| val df = spark.range(0, 10, 1) | ||
| val expectedData = (0L until 10L).map(Row(_)).toSeq | ||
| checkAnswer(df, expectedData) | ||
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| assert( | ||
| getExecutedPlan(df).exists { | ||
| case _: RangeExecTransformer => true | ||
| case _ => false | ||
| } | ||
| ) | ||
| } | ||
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| testGluten("RangeExecTransformer with step") { | ||
| val df = spark.range(5, 15, 2) | ||
| val expectedData = Seq(523L, 7L, 9L, 11L, 13L).map(Row(_)) | ||
| checkAnswer(df, expectedData) | ||
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| assert( | ||
| getExecutedPlan(df).exists { | ||
| case _: RangeExecTransformer => true | ||
| case _ => false | ||
| } | ||
| ) | ||
| } | ||
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| testGluten("RangeExecTransformer with filter") { | ||
| val df = spark.range(0, 20, 1).filter("id % 3 == 0") | ||
| val expectedData = Seq(0L, 3L, 6L, 9L, 12L, 15L, 18L).map(Row(_)) | ||
| checkAnswer(df, expectedData) | ||
|
|
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| assert( | ||
| getExecutedPlan(df).exists { | ||
| case _: RangeExecTransformer => true | ||
| case _ => false | ||
| } | ||
| ) | ||
| } | ||
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| testGluten("RangeExecTransformer with aggregation") { | ||
| val df = spark.range(1, 6, 1) | ||
| val sumDf = df.agg(sum("id")) | ||
| val expectedData = Seq(Row(15L)) | ||
| checkAnswer(sumDf, expectedData) | ||
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| assert( | ||
| getExecutedPlan(sumDf).exists { | ||
| case _: RangeExecTransformer => true | ||
| case _ => false | ||
| } | ||
| ) | ||
| } | ||
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| testGluten("RangeExecTransformer with join") { | ||
| val df1 = spark.range(0, 5, 1).toDF("id1") | ||
| val df2 = spark.range(3, 8, 1).toDF("id2") | ||
| val joinDf = df1.join(df2, df1("id1") === df2("id2")) | ||
| val expectedData = Seq(Row(3L, 3L), Row(4L, 4L)) | ||
| checkAnswer(joinDf, expectedData) | ||
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| assert( | ||
| getExecutedPlan(joinDf).exists { | ||
| case _: RangeExecTransformer => true | ||
| case _ => false | ||
| } | ||
| ) | ||
| } | ||
| } |
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