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[SQL] Decrease partitions when testing #2164

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80453d5
Decrease partitions when testing
marmbrus Aug 27, 2014
b42eeab
increase test parallelism
marmbrus Aug 27, 2014
0bdbf21
Make parquet tests less order dependent
marmbrus Sep 9, 2014
2dabae3
more test fixes
marmbrus Sep 10, 2014
ef2d985
more test hacks.
marmbrus Sep 13, 2014
0da1e8c
test hax
marmbrus Sep 13, 2014
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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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Expand Up @@ -58,8 +58,7 @@ case class AllDataTypes(
doubleField: Double,
shortField: Short,
byteField: Byte,
booleanField: Boolean,
binaryField: Array[Byte])
booleanField: Boolean)

case class AllDataTypesWithNonPrimitiveType(
stringField: String,
Expand All @@ -70,13 +69,14 @@ 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 @@ -108,26 +108,26 @@ 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 @@ -142,37 +142,16 @@ 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 @@ -275,34 +254,19 @@ 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 @@ -399,23 +363,6 @@ 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 @@ -448,32 +395,19 @@ 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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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