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

    https://github.com/apache/spark/pull/14472#discussion_r73272864
  
    --- Diff: 
sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestSuite.scala ---
    @@ -0,0 +1,186 @@
    +/*
    + * 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.io.File
    +import java.util.{Locale, TimeZone}
    +
    +import org.apache.spark.sql.catalyst.rules.RuleExecutor
    +import org.apache.spark.sql.catalyst.util.{fileToString, stringToFile}
    +import org.apache.spark.sql.test.SharedSQLContext
    +
    +/**
    + * End-to-end test cases for SQL queries.
    + *
    + * Each case is loaded from a file in 
"spark/sql/core/src/test/resources/sql-tests/inputs".
    + * Each case has a golden result file in 
"spark/sql/core/src/test/resources/sql-tests/results".
    + *
    + * To re-generate golden files, run:
    + * {{{
    + *   SPARK_GENERATE_GOLDEN_FILES=1 build/sbt "sql/test-only 
*SQLQueryTestSuite"
    + * }}}
    + *
    + * The format for input files is simple:
    + *  1. A list of SQL queries separated by semicolon.
    + *  2. Lines starting with -- are treated as comments and ignored.
    + *
    + * For example:
    + * {{{
    + *   -- this is a comment
    + *   select 1 + 2;
    + *   select current_date;
    + * }}}
    + *
    + * Result files are encoded as XMLs.
    + */
    +class SQLQueryTestSuite extends QueryTest with SharedSQLContext {
    +
    +  private val regenerateGoldenFiles: Boolean = 
System.getenv("SPARK_GENERATE_GOLDEN_FILES") == "1"
    +
    +  private val inputFilePath = "src/test/resources/sql-tests/inputs/"
    +  private val goldenFilePath = "src/test/resources/sql-tests/results/"
    +
    +  /** List of test cases to ignore, in lower cases. */
    +  private val blackList = Set(
    +    "blacklist.sql"  // Do NOT remove this one. It is here to test the 
blacklist functionality.
    +  )
    +
    +  // Create all the test cases.
    +  listTestCases().foreach(createScalaTestCase)
    +
    +  /** A test case. */
    +  private case class TestCase(name: String, inputFile: String, resultFile: 
String)
    +
    +  /** A single SQL query's output. */
    +  private case class QueryOutput(sql: String, schema: String, output: 
String) {
    +    def toXML: String = {
    +      // We are explicitly not using multi-line string due to stripMargin 
removing |s,
    +      // and not using XML interpolation because there is no simple way to 
indent outputs nicely
    +      // (scala.xml.PrettyPrinter has issue with tabs).
    +      "<query>\n" +
    +      s"  <sql><![CDATA[$sql]]></sql>\n" +
    +      s"  <schema><![CDATA[$schema]]></schema>\n" +
    +      s"  <output><![CDATA[\n$output]]></output>\n" +
    +      s"</query>"
    +    }
    +  }
    +
    +  private def createScalaTestCase(testCase: TestCase): Unit = {
    +    if (blackList.contains(testCase.name.toLowerCase)) {
    +      // Create a test case to ignore this case.
    +      ignore(testCase.name) { /* Do nothing */ }
    +    } else {
    +      // Create a test case to run this case.
    +      test(testCase.name) { runTest(testCase) }
    +    }
    +  }
    +
    +  /** Run a test case. */
    +  private def runTest(testCase: TestCase): Unit = {
    +    val input = fileToString(new File(testCase.inputFile))
    +
    +    // List of SQL queries to run
    +    val queries: Seq[String] = {
    +      val cleaned = 
input.split("\n").filterNot(_.matches("--.*(?<=[^\\\\]);")).mkString("\n")
    +      cleaned.split("(?<=[^\\\\]);").map(_.trim).filterNot(q => q == 
"").toSeq
    +    }
    +
    +    // Run the SQL queries preparing them for comparison.
    +    val outputs: Seq[QueryOutput] = queries.map { sql =>
    +      val df = spark.sql(sql)
    +      // We might need to do some query canonicalization in the future.
    +      QueryOutput(
    +        sql = sql,
    +        schema = df.schema.map(_.dataType.simpleString).mkString(", "),
    +        output = df.showString(_numRows = 10000, truncate = 10000).trim)
    --- End diff --
    
    using showString might not be the most friendly when there is a mismatch 
and the output is huge, but should work very well with smaller outputs.


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