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[SPARK-4798][SQL] A new set of Parquet testing API and test suites #3644
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7f07af0
Adds a new set of Parquet test suites
liancheng 7b43a68
Updates ParquetTest Scaladoc
liancheng aa2cb2e
Decouples ParquetTest and TestSQLContext
liancheng 3bb8731
Refactors HiveParquetSuite
liancheng 800e745
Enforces ordering of test output
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127 changes: 127 additions & 0 deletions
127
sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTest.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.parquet | ||
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import java.io.File | ||
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import scala.reflect.ClassTag | ||
import scala.reflect.runtime.universe.TypeTag | ||
import scala.util.Try | ||
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import org.apache.spark.sql.{SQLContext, SchemaRDD} | ||
import org.apache.spark.sql.catalyst.util | ||
import org.apache.spark.util.Utils | ||
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/** | ||
* A helper trait that provides convenient facilities for Parquet testing. | ||
* | ||
* NOTE: Considering classes `Tuple1` ... `Tuple22` all extend `Product`, it would be more | ||
* convenient to use tuples rather than special case classes when writing test cases/suites. | ||
* Especially, `Tuple1.apply` can be used to easily wrap a single type/value. | ||
*/ | ||
trait ParquetTest { | ||
val sqlContext: SQLContext | ||
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import sqlContext._ | ||
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protected def configuration = sparkContext.hadoopConfiguration | ||
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/** | ||
* Sets all SQL configurations specified in `pairs`, calls `f`, and then restore all SQL | ||
* configurations. | ||
* | ||
* @todo Probably this method should be moved to a more general place | ||
*/ | ||
protected def withSQLConf(pairs: (String, String)*)(f: => Unit): Unit = { | ||
val (keys, values) = pairs.unzip | ||
val currentValues = keys.map(key => Try(getConf(key)).toOption) | ||
(keys, values).zipped.foreach(setConf) | ||
try f finally { | ||
keys.zip(currentValues).foreach { | ||
case (key, Some(value)) => setConf(key, value) | ||
case (key, None) => unsetConf(key) | ||
} | ||
} | ||
} | ||
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/** | ||
* Generates a temporary path without creating the actual file/directory, then pass it to `f`. If | ||
* a file/directory is created there by `f`, it will be delete after `f` returns. | ||
* | ||
* @todo Probably this method should be moved to a more general place | ||
*/ | ||
protected def withTempPath(f: File => Unit): Unit = { | ||
val file = util.getTempFilePath("parquetTest").getCanonicalFile | ||
try f(file) finally if (file.exists()) Utils.deleteRecursively(file) | ||
} | ||
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/** | ||
* Creates a temporary directory, which is then passed to `f` and will be deleted after `f` | ||
* returns. | ||
* | ||
* @todo Probably this method should be moved to a more general place | ||
*/ | ||
protected def withTempDir(f: File => Unit): Unit = { | ||
val dir = Utils.createTempDir().getCanonicalFile | ||
try f(dir) finally Utils.deleteRecursively(dir) | ||
} | ||
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/** | ||
* Writes `data` to a Parquet file, which is then passed to `f` and will be deleted after `f` | ||
* returns. | ||
*/ | ||
protected def withParquetFile[T <: Product: ClassTag: TypeTag] | ||
(data: Seq[T]) | ||
(f: String => Unit): Unit = { | ||
withTempPath { file => | ||
sparkContext.parallelize(data).saveAsParquetFile(file.getCanonicalPath) | ||
f(file.getCanonicalPath) | ||
} | ||
} | ||
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/** | ||
* Writes `data` to a Parquet file and reads it back as a SchemaRDD, which is then passed to `f`. | ||
* The Parquet file will be deleted after `f` returns. | ||
*/ | ||
protected def withParquetRDD[T <: Product: ClassTag: TypeTag] | ||
(data: Seq[T]) | ||
(f: SchemaRDD => Unit): Unit = { | ||
withParquetFile(data)(path => f(parquetFile(path))) | ||
} | ||
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/** | ||
* Drops temporary table `tableName` after calling `f`. | ||
*/ | ||
protected def withTempTable(tableName: String)(f: => Unit): Unit = { | ||
try f finally dropTempTable(tableName) | ||
} | ||
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/** | ||
* Writes `data` to a Parquet file, reads it back as a SchemaRDD and registers it as a temporary | ||
* table named `tableName`, then call `f`. The temporary table together with the Parquet file will | ||
* be dropped/deleted after `f` returns. | ||
*/ | ||
protected def withParquetTable[T <: Product: ClassTag: TypeTag] | ||
(data: Seq[T], tableName: String) | ||
(f: => Unit): Unit = { | ||
withParquetRDD(data) { rdd => | ||
rdd.registerTempTable(tableName) | ||
withTempTable(tableName)(f) | ||
} | ||
} | ||
} |
253 changes: 253 additions & 0 deletions
253
sql/core/src/test/scala/org/apache/spark/sql/parquet/ParquetFilterSuite.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.parquet | ||
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import parquet.filter2.predicate.Operators._ | ||
import parquet.filter2.predicate.{FilterPredicate, Operators} | ||
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import org.apache.spark.sql.catalyst.dsl.expressions._ | ||
import org.apache.spark.sql.catalyst.expressions.{Literal, Predicate, Row} | ||
import org.apache.spark.sql.test.TestSQLContext | ||
import org.apache.spark.sql.{QueryTest, SQLConf, SchemaRDD} | ||
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/** | ||
* A test suite that tests Parquet filter2 API based filter pushdown optimization. | ||
* | ||
* Notice that `!(a cmp b)` are always transformed to its negated form `a cmp' b` by the | ||
* `BooleanSimplification` optimization rule whenever possible. As a result, predicate `!(a < 1)` | ||
* results a `GtEq` filter predicate rather than a `Not`. | ||
* | ||
* @todo Add test cases for `IsNull` and `IsNotNull` after merging PR #3367 | ||
*/ | ||
class ParquetFilterSuite extends QueryTest with ParquetTest { | ||
val sqlContext = TestSQLContext | ||
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private def checkFilterPushdown( | ||
rdd: SchemaRDD, | ||
output: Seq[Symbol], | ||
predicate: Predicate, | ||
filterClass: Class[_ <: FilterPredicate], | ||
checker: (SchemaRDD, Any) => Unit, | ||
expectedResult: => Any): Unit = { | ||
withSQLConf(SQLConf.PARQUET_FILTER_PUSHDOWN_ENABLED -> "true") { | ||
val query = rdd.select(output.map(_.attr): _*).where(predicate) | ||
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val maybeAnalyzedPredicate = query.queryExecution.executedPlan.collect { | ||
case plan: ParquetTableScan => plan.columnPruningPred | ||
}.flatten.reduceOption(_ && _) | ||
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assert(maybeAnalyzedPredicate.isDefined) | ||
maybeAnalyzedPredicate.foreach { pred => | ||
val maybeFilter = ParquetFilters.createFilter(pred) | ||
assert(maybeFilter.isDefined, s"Couldn't generate filter predicate for $pred") | ||
maybeFilter.foreach(f => assert(f.getClass === filterClass)) | ||
} | ||
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checker(query, expectedResult) | ||
} | ||
} | ||
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private def checkFilterPushdown | ||
(rdd: SchemaRDD, output: Symbol*) | ||
(predicate: Predicate, filterClass: Class[_ <: FilterPredicate]) | ||
(expectedResult: => Any): Unit = { | ||
checkFilterPushdown(rdd, output, predicate, filterClass, checkAnswer _, expectedResult) | ||
} | ||
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def checkBinaryFilterPushdown | ||
(rdd: SchemaRDD, output: Symbol*) | ||
(predicate: Predicate, filterClass: Class[_ <: FilterPredicate]) | ||
(expectedResult: => Any): Unit = { | ||
def checkBinaryAnswer(rdd: SchemaRDD, result: Any): Unit = { | ||
val actual = rdd.map(_.getAs[Array[Byte]](0).mkString(",")).collect().toSeq | ||
val expected = result match { | ||
case s: Seq[_] => s.map(_.asInstanceOf[Row].getAs[Array[Byte]](0).mkString(",")) | ||
case s => Seq(s.asInstanceOf[Array[Byte]].mkString(",")) | ||
} | ||
assert(actual.sorted === expected.sorted) | ||
} | ||
checkFilterPushdown(rdd, output, predicate, filterClass, checkBinaryAnswer _, expectedResult) | ||
} | ||
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test("filter pushdown - boolean") { | ||
withParquetRDD((true :: false :: Nil).map(Tuple1.apply)) { rdd => | ||
checkFilterPushdown(rdd, '_1)('_1 === true, classOf[Eq[java.lang.Boolean]])(true) | ||
checkFilterPushdown(rdd, '_1)('_1 !== true, classOf[Operators.Not])(false) | ||
} | ||
} | ||
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test("filter pushdown - integer") { | ||
withParquetRDD((1 to 4).map(Tuple1.apply)) { rdd => | ||
checkFilterPushdown(rdd, '_1)('_1 === 1, classOf[Eq[Integer]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 !== 1, classOf[Operators.Not]) { | ||
(2 to 4).map(Row.apply(_)) | ||
} | ||
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checkFilterPushdown(rdd, '_1)('_1 < 2, classOf[Lt [Integer]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 > 3, classOf[Gt [Integer]])(4) | ||
checkFilterPushdown(rdd, '_1)('_1 <= 1, classOf[LtEq[Integer]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 >= 4, classOf[GtEq[Integer]])(4) | ||
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checkFilterPushdown(rdd, '_1)(Literal(1) === '_1, classOf[Eq [Integer]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(2) > '_1, classOf[Lt [Integer]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(3) < '_1, classOf[Gt [Integer]])(4) | ||
checkFilterPushdown(rdd, '_1)(Literal(1) >= '_1, classOf[LtEq[Integer]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(4) <= '_1, classOf[GtEq[Integer]])(4) | ||
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checkFilterPushdown(rdd, '_1)(!('_1 < 4), classOf[Operators.GtEq[Integer]])(4) | ||
checkFilterPushdown(rdd, '_1)('_1 > 2 && '_1 < 4, classOf[Operators.And])(3) | ||
checkFilterPushdown(rdd, '_1)('_1 < 2 || '_1 > 3, classOf[Operators.Or]) { | ||
Seq(Row(1), Row(4)) | ||
} | ||
} | ||
} | ||
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test("filter pushdown - long") { | ||
withParquetRDD((1 to 4).map(i => Tuple1.apply(i.toLong))) { rdd => | ||
checkFilterPushdown(rdd, '_1)('_1 === 1, classOf[Eq[java.lang.Long]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 !== 1, classOf[Operators.Not]) { | ||
(2 to 4).map(Row.apply(_)) | ||
} | ||
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checkFilterPushdown(rdd, '_1)('_1 < 2, classOf[Lt [java.lang.Long]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 > 3, classOf[Gt [java.lang.Long]])(4) | ||
checkFilterPushdown(rdd, '_1)('_1 <= 1, classOf[LtEq[java.lang.Long]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 >= 4, classOf[GtEq[java.lang.Long]])(4) | ||
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checkFilterPushdown(rdd, '_1)(Literal(1) === '_1, classOf[Eq [Integer]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(2) > '_1, classOf[Lt [java.lang.Long]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(3) < '_1, classOf[Gt [java.lang.Long]])(4) | ||
checkFilterPushdown(rdd, '_1)(Literal(1) >= '_1, classOf[LtEq[java.lang.Long]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(4) <= '_1, classOf[GtEq[java.lang.Long]])(4) | ||
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checkFilterPushdown(rdd, '_1)(!('_1 < 4), classOf[Operators.GtEq[java.lang.Long]])(4) | ||
checkFilterPushdown(rdd, '_1)('_1 > 2 && '_1 < 4, classOf[Operators.And])(3) | ||
checkFilterPushdown(rdd, '_1)('_1 < 2 || '_1 > 3, classOf[Operators.Or]) { | ||
Seq(Row(1), Row(4)) | ||
} | ||
} | ||
} | ||
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test("filter pushdown - float") { | ||
withParquetRDD((1 to 4).map(i => Tuple1.apply(i.toFloat))) { rdd => | ||
checkFilterPushdown(rdd, '_1)('_1 === 1, classOf[Eq[java.lang.Float]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 !== 1, classOf[Operators.Not]) { | ||
(2 to 4).map(Row.apply(_)) | ||
} | ||
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checkFilterPushdown(rdd, '_1)('_1 < 2, classOf[Lt [java.lang.Float]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 > 3, classOf[Gt [java.lang.Float]])(4) | ||
checkFilterPushdown(rdd, '_1)('_1 <= 1, classOf[LtEq[java.lang.Float]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 >= 4, classOf[GtEq[java.lang.Float]])(4) | ||
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checkFilterPushdown(rdd, '_1)(Literal(1) === '_1, classOf[Eq [Integer]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(2) > '_1, classOf[Lt [java.lang.Float]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(3) < '_1, classOf[Gt [java.lang.Float]])(4) | ||
checkFilterPushdown(rdd, '_1)(Literal(1) >= '_1, classOf[LtEq[java.lang.Float]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(4) <= '_1, classOf[GtEq[java.lang.Float]])(4) | ||
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checkFilterPushdown(rdd, '_1)(!('_1 < 4), classOf[Operators.GtEq[java.lang.Float]])(4) | ||
checkFilterPushdown(rdd, '_1)('_1 > 2 && '_1 < 4, classOf[Operators.And])(3) | ||
checkFilterPushdown(rdd, '_1)('_1 < 2 || '_1 > 3, classOf[Operators.Or]) { | ||
Seq(Row(1), Row(4)) | ||
} | ||
} | ||
} | ||
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test("filter pushdown - double") { | ||
withParquetRDD((1 to 4).map(i => Tuple1.apply(i.toDouble))) { rdd => | ||
checkFilterPushdown(rdd, '_1)('_1 === 1, classOf[Eq[java.lang.Double]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 !== 1, classOf[Operators.Not]) { | ||
(2 to 4).map(Row.apply(_)) | ||
} | ||
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checkFilterPushdown(rdd, '_1)('_1 < 2, classOf[Lt [java.lang.Double]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 > 3, classOf[Gt [java.lang.Double]])(4) | ||
checkFilterPushdown(rdd, '_1)('_1 <= 1, classOf[LtEq[java.lang.Double]])(1) | ||
checkFilterPushdown(rdd, '_1)('_1 >= 4, classOf[GtEq[java.lang.Double]])(4) | ||
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checkFilterPushdown(rdd, '_1)(Literal(1) === '_1, classOf[Eq[Integer]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(2) > '_1, classOf[Lt [java.lang.Double]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(3) < '_1, classOf[Gt [java.lang.Double]])(4) | ||
checkFilterPushdown(rdd, '_1)(Literal(1) >= '_1, classOf[LtEq[java.lang.Double]])(1) | ||
checkFilterPushdown(rdd, '_1)(Literal(4) <= '_1, classOf[GtEq[java.lang.Double]])(4) | ||
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checkFilterPushdown(rdd, '_1)(!('_1 < 4), classOf[Operators.GtEq[java.lang.Double]])(4) | ||
checkFilterPushdown(rdd, '_1)('_1 > 2 && '_1 < 4, classOf[Operators.And])(3) | ||
checkFilterPushdown(rdd, '_1)('_1 < 2 || '_1 > 3, classOf[Operators.Or]) { | ||
Seq(Row(1), Row(4)) | ||
} | ||
} | ||
} | ||
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test("filter pushdown - string") { | ||
withParquetRDD((1 to 4).map(i => Tuple1.apply(i.toString))) { rdd => | ||
checkFilterPushdown(rdd, '_1)('_1 === "1", classOf[Eq[String]])("1") | ||
checkFilterPushdown(rdd, '_1)('_1 !== "1", classOf[Operators.Not]) { | ||
(2 to 4).map(i => Row.apply(i.toString)) | ||
} | ||
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checkFilterPushdown(rdd, '_1)('_1 < "2", classOf[Lt [java.lang.String]])("1") | ||
checkFilterPushdown(rdd, '_1)('_1 > "3", classOf[Gt [java.lang.String]])("4") | ||
checkFilterPushdown(rdd, '_1)('_1 <= "1", classOf[LtEq[java.lang.String]])("1") | ||
checkFilterPushdown(rdd, '_1)('_1 >= "4", classOf[GtEq[java.lang.String]])("4") | ||
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checkFilterPushdown(rdd, '_1)(Literal("1") === '_1, classOf[Eq [java.lang.String]])("1") | ||
checkFilterPushdown(rdd, '_1)(Literal("2") > '_1, classOf[Lt [java.lang.String]])("1") | ||
checkFilterPushdown(rdd, '_1)(Literal("3") < '_1, classOf[Gt [java.lang.String]])("4") | ||
checkFilterPushdown(rdd, '_1)(Literal("1") >= '_1, classOf[LtEq[java.lang.String]])("1") | ||
checkFilterPushdown(rdd, '_1)(Literal("4") <= '_1, classOf[GtEq[java.lang.String]])("4") | ||
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checkFilterPushdown(rdd, '_1)(!('_1 < "4"), classOf[Operators.GtEq[java.lang.String]])("4") | ||
checkFilterPushdown(rdd, '_1)('_1 > "2" && '_1 < "4", classOf[Operators.And])("3") | ||
checkFilterPushdown(rdd, '_1)('_1 < "2" || '_1 > "3", classOf[Operators.Or]) { | ||
Seq(Row("1"), Row("4")) | ||
} | ||
} | ||
} | ||
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test("filter pushdown - binary") { | ||
implicit class IntToBinary(int: Int) { | ||
def b: Array[Byte] = int.toString.getBytes("UTF-8") | ||
} | ||
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withParquetRDD((1 to 4).map(i => Tuple1.apply(i.b))) { rdd => | ||
checkBinaryFilterPushdown(rdd, '_1)('_1 === 1.b, classOf[Eq[Array[Byte]]])(1.b) | ||
checkBinaryFilterPushdown(rdd, '_1)('_1 !== 1.b, classOf[Operators.Not]) { | ||
(2 to 4).map(i => Row.apply(i.b)).toSeq | ||
} | ||
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checkBinaryFilterPushdown(rdd, '_1)('_1 < 2.b, classOf[Lt [Array[Byte]]])(1.b) | ||
checkBinaryFilterPushdown(rdd, '_1)('_1 > 3.b, classOf[Gt [Array[Byte]]])(4.b) | ||
checkBinaryFilterPushdown(rdd, '_1)('_1 <= 1.b, classOf[LtEq[Array[Byte]]])(1.b) | ||
checkBinaryFilterPushdown(rdd, '_1)('_1 >= 4.b, classOf[GtEq[Array[Byte]]])(4.b) | ||
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checkBinaryFilterPushdown(rdd, '_1)(Literal(1.b) === '_1, classOf[Eq [Array[Byte]]])(1.b) | ||
checkBinaryFilterPushdown(rdd, '_1)(Literal(2.b) > '_1, classOf[Lt [Array[Byte]]])(1.b) | ||
checkBinaryFilterPushdown(rdd, '_1)(Literal(3.b) < '_1, classOf[Gt [Array[Byte]]])(4.b) | ||
checkBinaryFilterPushdown(rdd, '_1)(Literal(1.b) >= '_1, classOf[LtEq[Array[Byte]]])(1.b) | ||
checkBinaryFilterPushdown(rdd, '_1)(Literal(4.b) <= '_1, classOf[GtEq[Array[Byte]]])(4.b) | ||
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checkBinaryFilterPushdown(rdd, '_1)(!('_1 < 4.b), classOf[Operators.GtEq[Array[Byte]]])(4.b) | ||
checkBinaryFilterPushdown(rdd, '_1)('_1 > 2.b && '_1 < 4.b, classOf[Operators.And])(3.b) | ||
checkBinaryFilterPushdown(rdd, '_1)('_1 < 2.b || '_1 > 3.b, classOf[Operators.Or]) { | ||
Seq(Row(1.b), Row(4.b)) | ||
} | ||
} | ||
} | ||
} |
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Used in
ParquetTest.withSQLConf
.