fwc commented on code in PR #56190: URL: https://github.com/apache/spark/pull/56190#discussion_r3453822699
########## sql/core/src/test/scala/org/apache/spark/sql/CheckAnswerHelper.scala: ########## @@ -0,0 +1,194 @@ +/* + * 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 + +import java.util.TimeZone + +import org.scalatest.Assertions + +import org.apache.spark.annotation.Experimental +import org.apache.spark.sql.catalyst.plans.logical +import org.apache.spark.util.{SparkErrorUtils, SparkStringUtils} + +/** + * Provides [[checkAnswer]] helper for SQL- & DataFrame-API tests. + * + * TODO: should be moved to sql/api together with SessionQueryTestBase + */ +@Experimental +trait CheckAnswerHelper extends Assertions { + + /** + * Runs the plan and makes sure the answer matches the expected result. + * + * @param df the DataFrame to be executed + * @param expectedAnswer the expected result in a Seq of Rows. + */ + protected def checkAnswer(df: => DataFrame, expectedAnswer: Seq[Row]): Unit = { + getErrorMessageInCheckAnswer(df, expectedAnswer) match { + case Some(errorMessage) => fail(errorMessage) + case None => + } + } + + /* + * Note: when moving this to sql/api, implementation should stay in sql/core + * (i.e. only have abstract decl in sql/api) + */ + protected def isDfSorted(df: DataFrame): Boolean = { + df match { + case df: classic.DataFrame => + df.logicalPlan.collectFirst { case s: logical.Sort => s }.nonEmpty + case _ => throw new RuntimeException(s"Cannot determine whether df is sorted: $df") + } + } + + /** + * Runs the plan and makes sure the answer matches the expected result. + * If there was exception during the execution or the contents of the DataFrame does not + * match the expected result, an error message will be returned. Otherwise, a None will + * be returned. + * + * @param df the DataFrame to be executed + * @param expectedAnswer the expected result in a Seq of Rows. + */ + private def getErrorMessageInCheckAnswer( + df: DataFrame, + expectedAnswer: Seq[Row]): Option[String] = { + val sparkAnswer = try df.collect().toSeq catch { + case e: Exception => + val errorMessage = + s""" + |Exception thrown while executing query: + |${df.queryExecution} + |== Exception == + |$e + |${SparkErrorUtils.stackTraceToString(e)} + """.stripMargin + return Some(errorMessage) + } + + sameRows(expectedAnswer, sparkAnswer, isDfSorted(df)).map { results => + s""" + |Results do not match for query: + |Timezone: ${TimeZone.getDefault} + |Timezone Env: ${sys.env.getOrElse("TZ", "")} + | + |${df.queryExecution} + |== Results == + |$results + """.stripMargin + } + } + + private def prepareAnswer(answer: Seq[Row], isSorted: Boolean): Seq[Row] = { + // Converts data to types that we can do equality comparison using Scala collections. + // For BigDecimal type, the Scala type has a better definition of equality test (similar to + // Java's java.math.BigDecimal.compareTo). + // For binary arrays, we convert it to Seq to avoid of calling java.util.Arrays.equals for + // equality test. + val converted: Seq[Row] = answer.map(prepareRow) + if (!isSorted) converted.sortBy(_.toString()) else converted + } + + // We need to call prepareRow recursively to handle schemas with struct types. + private def prepareRow(row: Row): Row = { + Row.fromSeq(row.toSeq.map { + case null => null + case bd: java.math.BigDecimal => BigDecimal(bd) + // Equality of WrappedArray differs for AnyVal and AnyRef in Scala 2.12.2+ + case seq: Seq[_] => seq.map { + case b: java.lang.Byte => b.byteValue + case s: java.lang.Short => s.shortValue + case i: java.lang.Integer => i.intValue + case l: java.lang.Long => l.longValue + case f: java.lang.Float => f.floatValue + case d: java.lang.Double => d.doubleValue + case x => x + } + // Convert array to Seq for easy equality check. + case b: Array[_] => b.toSeq + case r: Row => prepareRow(r) + // SPARK-51349: "null" and null had the same precedence in sorting + case "null" => "__null_string__" + case o => o + }) + } + + private def genError( + expectedAnswer: Seq[Row], + sparkAnswer: Seq[Row], + isSorted: Boolean = false): String = { + val getRowType: Option[Row] => String = row => + row.map(row => + if (row.schema == null) { + "struct<>" + } else { + s"${row.schema.catalogString}" + }).getOrElse("struct<>") + + s""" + |== Results == + |${ + SparkStringUtils.sideBySide( + s"== Correct Answer - ${expectedAnswer.size} ==" +: + getRowType(expectedAnswer.headOption) +: + prepareAnswer(expectedAnswer, isSorted).map(_.toString()), + s"== Spark Answer - ${sparkAnswer.size} ==" +: + getRowType(sparkAnswer.headOption) +: + prepareAnswer(sparkAnswer, isSorted).map(_.toString())).mkString("\n") + } + """.stripMargin + } + + private def compare(obj1: Any, obj2: Any): Boolean = (obj1, obj2) match { + case (null, null) => true + case (null, _) => false + case (_, null) => false + case (a: Array[_], b: Array[_]) => Review Comment: This code is copy-pasted from `QueryTest`, :shrug: -- This is an automated message from the Apache Git Service. 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