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[SQL] Decrease partitions when testing
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Author: Michael Armbrust <[email protected]>

Closes apache#2164 from marmbrus/shufflePartitions and squashes the following commits:

0da1e8c [Michael Armbrust] test hax
ef2d985 [Michael Armbrust] more test hacks.
2dabae3 [Michael Armbrust] more test fixes
0bdbf21 [Michael Armbrust] Make parquet tests less order dependent
b42eeab [Michael Armbrust] increase test parallelism
80453d5 [Michael Armbrust] Decrease partitions when testing
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@marmbrus @liancheng
marmbrus authored and liancheng committed Nov 9, 2014
1 parent 7f395b7 commit 3202a36
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Showing 3 changed files with 51 additions and 107 deletions.
9 changes: 7 additions & 2 deletions sql/core/src/main/scala/org/apache/spark/sql/test/TestSQLContext.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -18,8 +18,13 @@
package org.apache.spark.sql.test

import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.sql.SQLContext
import org.apache.spark.sql.{SQLConf, SQLContext}

/** A SQLContext that can be used for local testing. */
object TestSQLContext
extends SQLContext(new SparkContext("local", "TestSQLContext", new SparkConf()))
extends SQLContext(new SparkContext("local[2]", "TestSQLContext", new SparkConf())) {

/** Fewer partitions to speed up testing. */
override private[spark] def numShufflePartitions: Int =
getConf(SQLConf.SHUFFLE_PARTITIONS, "5").toInt
}
142 changes: 38 additions & 104 deletions sql/core/src/test/scala/org/apache/spark/sql/parquet/ParquetQuerySuite.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -63,8 +63,7 @@ case class AllDataTypes(
doubleField: Double,
shortField: Short,
byteField: Byte,
booleanField: Boolean,
binaryField: Array[Byte])
booleanField: Boolean)

case class AllDataTypesWithNonPrimitiveType(
stringField: String,
Expand All @@ -75,13 +74,14 @@ case class AllDataTypesWithNonPrimitiveType(
shortField: Short,
byteField: Byte,
booleanField: Boolean,
binaryField: Array[Byte],
array: Seq[Int],
arrayContainsNull: Seq[Option[Int]],
map: Map[Int, Long],
mapValueContainsNull: Map[Int, Option[Long]],
data: Data)

case class BinaryData(binaryData: Array[Byte])

class ParquetQuerySuite extends QueryTest with FunSuiteLike with BeforeAndAfterAll {
TestData // Load test data tables.

Expand Down Expand Up @@ -117,26 +117,26 @@ class ParquetQuerySuite extends QueryTest with FunSuiteLike with BeforeAndAfterA
test("Read/Write All Types") {
val tempDir = getTempFilePath("parquetTest").getCanonicalPath
val range = (0 to 255)
TestSQLContext.sparkContext.parallelize(range)
.map(x => AllDataTypes(s"$x", x, x.toLong, x.toFloat, x.toDouble, x.toShort, x.toByte, x % 2 == 0,
(0 to x).map(_.toByte).toArray))
.saveAsParquetFile(tempDir)
val result = parquetFile(tempDir).collect()
range.foreach {
i =>
assert(result(i).getString(0) == s"$i", s"row $i String field did not match, got ${result(i).getString(0)}")
assert(result(i).getInt(1) === i)
assert(result(i).getLong(2) === i.toLong)
assert(result(i).getFloat(3) === i.toFloat)
assert(result(i).getDouble(4) === i.toDouble)
assert(result(i).getShort(5) === i.toShort)
assert(result(i).getByte(6) === i.toByte)
assert(result(i).getBoolean(7) === (i % 2 == 0))
assert(result(i)(8) === (0 to i).map(_.toByte).toArray)
}
val data = sparkContext.parallelize(range)
.map(x => AllDataTypes(s"$x", x, x.toLong, x.toFloat, x.toDouble, x.toShort, x.toByte, x % 2 == 0))

data.saveAsParquetFile(tempDir)

checkAnswer(
parquetFile(tempDir),
data.toSchemaRDD.collect().toSeq)
}

test("Treat binary as string") {
test("read/write binary data") {
// Since equality for Array[Byte] is broken we test this separately.
val tempDir = getTempFilePath("parquetTest").getCanonicalPath
sparkContext.parallelize(BinaryData("test".getBytes("utf8")) :: Nil).saveAsParquetFile(tempDir)
parquetFile(tempDir)
.map(r => new String(r(0).asInstanceOf[Array[Byte]], "utf8"))
.collect().toSeq == Seq("test")
}

ignore("Treat binary as string") {
val oldIsParquetBinaryAsString = TestSQLContext.isParquetBinaryAsString

// Create the test file.
Expand All @@ -151,37 +151,16 @@ class ParquetQuerySuite extends QueryTest with FunSuiteLike with BeforeAndAfterA
StructField("c2", BinaryType, false) :: Nil)
val schemaRDD1 = applySchema(rowRDD, schema)
schemaRDD1.saveAsParquetFile(path)
val resultWithBinary = parquetFile(path).collect
range.foreach {
i =>
assert(resultWithBinary(i).getInt(0) === i)
assert(resultWithBinary(i)(1) === s"val_$i".getBytes)
}

TestSQLContext.setConf(SQLConf.PARQUET_BINARY_AS_STRING, "true")
// This ParquetRelation always use Parquet types to derive output.
val parquetRelation = new ParquetRelation(
path.toString,
Some(TestSQLContext.sparkContext.hadoopConfiguration),
TestSQLContext) {
override val output =
ParquetTypesConverter.convertToAttributes(
ParquetTypesConverter.readMetaData(new Path(path), conf).getFileMetaData.getSchema,
TestSQLContext.isParquetBinaryAsString)
}
val schemaRDD = new SchemaRDD(TestSQLContext, parquetRelation)
val resultWithString = schemaRDD.collect
range.foreach {
i =>
assert(resultWithString(i).getInt(0) === i)
assert(resultWithString(i)(1) === s"val_$i")
}
checkAnswer(
parquetFile(path).select('c1, 'c2.cast(StringType)),
schemaRDD1.select('c1, 'c2.cast(StringType)).collect().toSeq)

schemaRDD.registerTempTable("tmp")
setConf(SQLConf.PARQUET_BINARY_AS_STRING, "true")
parquetFile(path).printSchema()
checkAnswer(
sql("SELECT c1, c2 FROM tmp WHERE c2 = 'val_5' OR c2 = 'val_7'"),
(5, "val_5") ::
(7, "val_7") :: Nil)
parquetFile(path),
schemaRDD1.select('c1, 'c2.cast(StringType)).collect().toSeq)


// Set it back.
TestSQLContext.setConf(SQLConf.PARQUET_BINARY_AS_STRING, oldIsParquetBinaryAsString.toString)
Expand Down Expand Up @@ -284,34 +263,19 @@ class ParquetQuerySuite extends QueryTest with FunSuiteLike with BeforeAndAfterA
test("Read/Write All Types with non-primitive type") {
val tempDir = getTempFilePath("parquetTest").getCanonicalPath
val range = (0 to 255)
TestSQLContext.sparkContext.parallelize(range)
val data = sparkContext.parallelize(range)
.map(x => AllDataTypesWithNonPrimitiveType(
s"$x", x, x.toLong, x.toFloat, x.toDouble, x.toShort, x.toByte, x % 2 == 0,
(0 to x).map(_.toByte).toArray,
(0 until x),
(0 until x).map(Option(_).filter(_ % 3 == 0)),
(0 until x).map(i => i -> i.toLong).toMap,
(0 until x).map(i => i -> Option(i.toLong)).toMap + (x -> None),
Data((0 until x), Nested(x, s"$x"))))
.saveAsParquetFile(tempDir)
val result = parquetFile(tempDir).collect()
range.foreach {
i =>
assert(result(i).getString(0) == s"$i", s"row $i String field did not match, got ${result(i).getString(0)}")
assert(result(i).getInt(1) === i)
assert(result(i).getLong(2) === i.toLong)
assert(result(i).getFloat(3) === i.toFloat)
assert(result(i).getDouble(4) === i.toDouble)
assert(result(i).getShort(5) === i.toShort)
assert(result(i).getByte(6) === i.toByte)
assert(result(i).getBoolean(7) === (i % 2 == 0))
assert(result(i)(8) === (0 to i).map(_.toByte).toArray)
assert(result(i)(9) === (0 until i))
assert(result(i)(10) === (0 until i).map(i => if (i % 3 == 0) i else null))
assert(result(i)(11) === (0 until i).map(i => i -> i.toLong).toMap)
assert(result(i)(12) === (0 until i).map(i => i -> i.toLong).toMap + (i -> null))
assert(result(i)(13) === new GenericRow(Array[Any]((0 until i), new GenericRow(Array[Any](i, s"$i")))))
}
data.saveAsParquetFile(tempDir)

checkAnswer(
parquetFile(tempDir),
data.toSchemaRDD.collect().toSeq)
}

test("self-join parquet files") {
Expand Down Expand Up @@ -408,23 +372,6 @@ class ParquetQuerySuite extends QueryTest with FunSuiteLike with BeforeAndAfterA
}
}

test("Saving case class RDD table to file and reading it back in") {
val file = getTempFilePath("parquet")
val path = file.toString
val rdd = TestSQLContext.sparkContext.parallelize((1 to 100))
.map(i => TestRDDEntry(i, s"val_$i"))
rdd.saveAsParquetFile(path)
val readFile = parquetFile(path)
readFile.registerTempTable("tmpx")
val rdd_copy = sql("SELECT * FROM tmpx").collect()
val rdd_orig = rdd.collect()
for(i <- 0 to 99) {
assert(rdd_copy(i).apply(0) === rdd_orig(i).key, s"key error in line $i")
assert(rdd_copy(i).apply(1) === rdd_orig(i).value, s"value error in line $i")
}
Utils.deleteRecursively(file)
}

test("Read a parquet file instead of a directory") {
val file = getTempFilePath("parquet")
val path = file.toString
Expand Down Expand Up @@ -457,32 +404,19 @@ class ParquetQuerySuite extends QueryTest with FunSuiteLike with BeforeAndAfterA
sql("INSERT OVERWRITE INTO dest SELECT * FROM source").collect()
val rdd_copy1 = sql("SELECT * FROM dest").collect()
assert(rdd_copy1.size === 100)
assert(rdd_copy1(0).apply(0) === 1)
assert(rdd_copy1(0).apply(1) === "val_1")
// TODO: why does collecting break things? It seems InsertIntoParquet::execute() is
// executed twice otherwise?!

sql("INSERT INTO dest SELECT * FROM source")
val rdd_copy2 = sql("SELECT * FROM dest").collect()
val rdd_copy2 = sql("SELECT * FROM dest").collect().sortBy(_.getInt(0))
assert(rdd_copy2.size === 200)
assert(rdd_copy2(0).apply(0) === 1)
assert(rdd_copy2(0).apply(1) === "val_1")
assert(rdd_copy2(99).apply(0) === 100)
assert(rdd_copy2(99).apply(1) === "val_100")
assert(rdd_copy2(100).apply(0) === 1)
assert(rdd_copy2(100).apply(1) === "val_1")
Utils.deleteRecursively(dirname)
}

test("Insert (appending) to same table via Scala API") {
// TODO: why does collecting break things? It seems InsertIntoParquet::execute() is
// executed twice otherwise?!
sql("INSERT INTO testsource SELECT * FROM testsource")
val double_rdd = sql("SELECT * FROM testsource").collect()
assert(double_rdd != null)
assert(double_rdd.size === 30)
for(i <- (0 to 14)) {
assert(double_rdd(i) === double_rdd(i+15), s"error: lines $i and ${i+15} to not match")
}

// let's restore the original test data
Utils.deleteRecursively(ParquetTestData.testDir)
ParquetTestData.writeFile()
Expand Down
7 changes: 6 additions & 1 deletion sql/hive/src/main/scala/org/apache/spark/sql/hive/TestHive.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -35,12 +35,13 @@ import org.apache.spark.sql.catalyst.analysis._
import org.apache.spark.sql.catalyst.plans.logical.{CacheCommand, LogicalPlan, NativeCommand}
import org.apache.spark.sql.catalyst.util._
import org.apache.spark.sql.hive._
import org.apache.spark.sql.SQLConf

/* Implicit conversions */
import scala.collection.JavaConversions._

object TestHive
extends TestHiveContext(new SparkContext("local", "TestSQLContext", new SparkConf()))
extends TestHiveContext(new SparkContext("local[2]", "TestSQLContext", new SparkConf()))

/**
* A locally running test instance of Spark's Hive execution engine.
Expand Down Expand Up @@ -90,6 +91,10 @@ class TestHiveContext(sc: SparkContext) extends HiveContext(sc) {
override def executePlan(plan: LogicalPlan): this.QueryExecution =
new this.QueryExecution { val logical = plan }

/** Fewer partitions to speed up testing. */
override private[spark] def numShufflePartitions: Int =
getConf(SQLConf.SHUFFLE_PARTITIONS, "5").toInt

/**
* Returns the value of specified environmental variable as a [[java.io.File]] after checking
* to ensure it exists
Expand Down

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