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[SPARK-16866][SQL] Infrastructure for file-based SQL end-to-end tests #14472
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,4 @@ | ||
-- This is a query file that has been blacklisted. | ||
-- It includes a query that should crash Spark. | ||
-- If the test case is run, the whole suite would fail. | ||
some random not working query that should crash Spark. |
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-- Verifies how we parse numbers | ||
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-- parse as ints | ||
select 1, -1; | ||
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-- parse as longs | ||
select 2147483648, -2147483649; | ||
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-- parse as decimals | ||
select 9223372036854775808, -9223372036854775809; | ||
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-- various floating point (decimal) formats | ||
select 0.3, -0.8, .5, -.18, 0.1111; |
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-- Automatically generated by org.apache.spark.sql.SQLQueryTestSuite | ||
-- Number of queries: 4 | ||
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-- !query 0 | ||
select 1, -1 | ||
-- !query 0 schema | ||
struct<1:int,(-1):int> | ||
-- !query 0 output | ||
1 -1 | ||
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-- !query 1 | ||
select 2147483648, -2147483649 | ||
-- !query 1 schema | ||
struct<2147483648:bigint,(-2147483649):bigint> | ||
-- !query 1 output | ||
2147483648 -2147483649 | ||
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-- !query 2 | ||
select 9223372036854775808, -9223372036854775809 | ||
-- !query 2 schema | ||
struct<9223372036854775808:decimal(19,0),(-9223372036854775809):decimal(19,0)> | ||
-- !query 2 output | ||
9223372036854775808 -9223372036854775809 | ||
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-- !query 3 | ||
select 0.3, -0.8, .5, -.18, 0.1111 | ||
-- !query 3 schema | ||
struct<0.3:decimal(1,1),(-0.8):decimal(1,1),0.5:decimal(1,1),(-0.18):decimal(2,2),0.1111:decimal(4,4)> | ||
-- !query 3 output | ||
0.3 -0.8 0.5 -0.18 0.1111 |
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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 java.io.File | ||
import java.util.{Locale, TimeZone} | ||
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import org.apache.spark.sql.catalyst.rules.RuleExecutor | ||
import org.apache.spark.sql.catalyst.util.{fileToString, stringToFile} | ||
import org.apache.spark.sql.test.SharedSQLContext | ||
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/** | ||
* 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, -1; | ||
* select current_date; | ||
* }}} | ||
* | ||
* The format for golden result files look roughly like: | ||
* {{{ | ||
* -- some header information | ||
* | ||
* -- !query 0 | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. why putting a There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. to make it less likely that somebody actually write "-- query" in a comment. |
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* select 1, -1 | ||
* -- !query 0 schema | ||
* struct<...schema...> | ||
* -- !query 0 output | ||
* ... data row 1 ... | ||
* ... data row 2 ... | ||
* ... | ||
* | ||
* -- !query 1 | ||
* ... | ||
* }}} | ||
*/ | ||
class SQLQueryTestSuite extends QueryTest with SharedSQLContext { | ||
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private val regenerateGoldenFiles: Boolean = System.getenv("SPARK_GENERATE_GOLDEN_FILES") == "1" | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I'd like to have another program to generate the golden files, e.g. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Why putting the two into separate programs? This approach seems easy enough and was the one suggested by @rxin in LogicalPlanToSQLSuite. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Basically majority of the code are the same. |
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private val baseResourcePath = { | ||
// If regenerateGoldenFiles is true, we must be running this in SBT and we use hard-coded | ||
// relative path. Otherwise, we use classloader's getResource to find the location. | ||
if (regenerateGoldenFiles) { | ||
java.nio.file.Paths.get("src", "test", "resources", "sql-tests").toFile | ||
} else { | ||
val res = getClass.getClassLoader.getResource("sql-tests") | ||
new File(res.getFile) | ||
} | ||
} | ||
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private val inputFilePath = new File(baseResourcePath, "inputs").getAbsolutePath | ||
private val goldenFilePath = new File(baseResourcePath, "results").getAbsolutePath | ||
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/** 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. | ||
) | ||
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// Create all the test cases. | ||
listTestCases().foreach(createScalaTestCase) | ||
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/** A test case. */ | ||
private case class TestCase(name: String, inputFile: String, resultFile: String) | ||
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/** A single SQL query's output. */ | ||
private case class QueryOutput(sql: String, schema: String, output: String) { | ||
def toString(queryIndex: Int): String = { | ||
// We are explicitly not using multi-line string due to stripMargin removing "|" in output. | ||
s"-- !query $queryIndex\n" + | ||
sql + "\n" + | ||
s"-- !query $queryIndex schema\n" + | ||
schema + "\n" + | ||
s"-- !query $queryIndex output\n" + | ||
output | ||
} | ||
} | ||
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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) } | ||
} | ||
} | ||
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/** Run a test case. */ | ||
private def runTest(testCase: TestCase): Unit = { | ||
val input = fileToString(new File(testCase.inputFile)) | ||
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// List of SQL queries to run | ||
val queries: Seq[String] = { | ||
val cleaned = input.split("\n").filterNot(_.startsWith("--")).mkString("\n") | ||
// note: this is not a robust way to split queries using semicolon, but works for now. | ||
cleaned.split("(?<=[^\\\\]);").map(_.trim).filter(_ != "").toSeq | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. can you explain a bit more about this regex? Why can't we just use There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I copied this from HiveComparisonTest. I think it is done to avoid escaping e.g. ";". It is really not very robust, but seems fine for now. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. can you explain a bit more about this regex? Why can't we just use There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I copied this from HiveComparisonTest. I think it is done to avoid escaping e.g. ";". It is really not very robust, but seems fine for now. |
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} | ||
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// 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. | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I'm not yet doing any sorting of outputs here. Not sure if it is necessary yet. |
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QueryOutput( | ||
sql = sql, | ||
schema = df.schema.catalogString, | ||
output = df.queryExecution.hiveResultString().mkString("\n")) | ||
} | ||
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if (regenerateGoldenFiles) { | ||
// Again, we are explicitly not using multi-line string due to stripMargin removing "|". | ||
val goldenOutput = { | ||
s"-- Automatically generated by ${getClass.getName}\n" + | ||
s"-- Number of queries: ${outputs.size}\n\n\n" + | ||
outputs.zipWithIndex.map{case (qr, i) => qr.toString(i)}.mkString("\n\n\n") + "\n" | ||
} | ||
stringToFile(new File(testCase.resultFile), goldenOutput) | ||
} | ||
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// Read back the golden file. | ||
val expectedOutputs: Seq[QueryOutput] = { | ||
val goldenOutput = fileToString(new File(testCase.resultFile)) | ||
val segments = goldenOutput.split("-- !query.+\n") | ||
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// each query has 3 segments, plus the header | ||
assert(segments.size == outputs.size * 3 + 1, | ||
s"Expected ${outputs.size * 3 + 1} blocks in result file but got ${segments.size}. " + | ||
s"Try regenerate the result files.") | ||
Seq.tabulate(outputs.size) { i => | ||
QueryOutput( | ||
sql = segments(i * 3 + 1).trim, | ||
schema = segments(i * 3 + 2).trim, | ||
output = segments(i * 3 + 3).trim | ||
) | ||
} | ||
} | ||
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// Compare results. | ||
assertResult(expectedOutputs.size, s"Number of queries should be ${expectedOutputs.size}") { | ||
outputs.size | ||
} | ||
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outputs.zip(expectedOutputs).zipWithIndex.foreach { case ((output, expected), i) => | ||
assertResult(expected.sql, s"SQL query should match for query #$i") { output.sql } | ||
assertResult(expected.schema, s"Schema should match for query #$i") { output.schema } | ||
assertResult(expected.output, s"Result should match for query #$i") { output.output } | ||
} | ||
} | ||
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private def listTestCases(): Seq[TestCase] = { | ||
listFilesRecursively(new File(inputFilePath)).map { file => | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. this might not work for Maven - I will look into this later. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. now it should work for maven |
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val resultFile = file.getAbsolutePath.replace(inputFilePath, goldenFilePath) + ".out" | ||
TestCase(file.getName, file.getAbsolutePath, resultFile) | ||
} | ||
} | ||
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/** Returns all the files (not directories) in a directory, recursively. */ | ||
private def listFilesRecursively(path: File): Seq[File] = { | ||
val (dirs, files) = path.listFiles().partition(_.isDirectory) | ||
files ++ dirs.flatMap(listFilesRecursively) | ||
} | ||
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private val originalTimeZone = TimeZone.getDefault | ||
private val originalLocale = Locale.getDefault | ||
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override def beforeAll(): Unit = { | ||
super.beforeAll() | ||
// Timezone is fixed to America/Los_Angeles for those timezone sensitive tests (timestamp_*) | ||
TimeZone.setDefault(TimeZone.getTimeZone("America/Los_Angeles")) | ||
// Add Locale setting | ||
Locale.setDefault(Locale.US) | ||
RuleExecutor.resetTime() | ||
} | ||
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override def afterAll(): Unit = { | ||
try { | ||
TimeZone.setDefault(originalTimeZone) | ||
Locale.setDefault(originalLocale) | ||
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// For debugging dump some statistics about how much time was spent in various optimizer rules | ||
logWarning(RuleExecutor.dumpTimeSpent()) | ||
} finally { | ||
super.afterAll() | ||
} | ||
} | ||
} |
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What if the query need to read data from some pre-defined tables? do you have a plan for this feature?
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Spark SQL does not yet have a great strategy for this. I think we can have a small set of predefined tables, and then create tables on the fly using "create table x as select 1, 2, 3 union all select 2, 3, 4".
We will likely need to iterate on this.
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We can also use this: #14539