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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.
*/
package org.apache.spark.sql.execution.columnar
import java.nio.{ByteBuffer, ByteOrder}
import java.nio.charset.StandardCharsets
import org.apache.spark.SparkFunSuite
import org.apache.spark.internal.Logging
import org.apache.spark.sql.Row
import org.apache.spark.sql.catalyst.CatalystTypeConverters
import org.apache.spark.sql.catalyst.expressions.{GenericMutableRow, UnsafeProjection}
import org.apache.spark.sql.execution.columnar.ColumnarTestUtils._
import org.apache.spark.sql.types._
class ColumnTypeSuite extends SparkFunSuite with Logging {
private val DEFAULT_BUFFER_SIZE = 512
private val MAP_TYPE = MAP(MapType(IntegerType, StringType))
private val ARRAY_TYPE = ARRAY(ArrayType(IntegerType))
private val STRUCT_TYPE = STRUCT(StructType(StructField("a", StringType) :: Nil))
test("defaultSize") {
val checks = Map(
NULL -> 0, BOOLEAN -> 1, BYTE -> 1, SHORT -> 2, INT -> 4, LONG -> 8,
FLOAT -> 4, DOUBLE -> 8, COMPACT_DECIMAL(15, 10) -> 8, LARGE_DECIMAL(20, 10) -> 12,
STRING -> 8, BINARY -> 16, STRUCT_TYPE -> 20, ARRAY_TYPE -> 16, MAP_TYPE -> 32)
checks.foreach { case (columnType, expectedSize) =>
assertResult(expectedSize, s"Wrong defaultSize for $columnType") {
columnType.defaultSize
}
}
}
test("actualSize") {
def checkActualSize(
columnType: ColumnType[_],
value: Any,
expected: Int): Unit = {
assertResult(expected, s"Wrong actualSize for $columnType") {
val row = new GenericMutableRow(1)
row.update(0, CatalystTypeConverters.convertToCatalyst(value))
val proj = UnsafeProjection.create(Array[DataType](columnType.dataType))
columnType.actualSize(proj(row), 0)
}
}
checkActualSize(NULL, null, 0)
checkActualSize(BOOLEAN, true, 1)
checkActualSize(BYTE, Byte.MaxValue, 1)
checkActualSize(SHORT, Short.MaxValue, 2)
checkActualSize(INT, Int.MaxValue, 4)
checkActualSize(LONG, Long.MaxValue, 8)
checkActualSize(FLOAT, Float.MaxValue, 4)
checkActualSize(DOUBLE, Double.MaxValue, 8)
checkActualSize(STRING, "hello", 4 + "hello".getBytes(StandardCharsets.UTF_8).length)
checkActualSize(BINARY, Array.fill[Byte](4)(0.toByte), 4 + 4)
checkActualSize(COMPACT_DECIMAL(15, 10), Decimal(0, 15, 10), 8)
checkActualSize(LARGE_DECIMAL(20, 10), Decimal(0, 20, 10), 5)
checkActualSize(ARRAY_TYPE, Array[Any](1), 8 + 8 + 8 + 8)
checkActualSize(MAP_TYPE, Map(1 -> "a"), 8 + (8 + 8 + 8 + 8) + (8 + 8 + 8 + 8))
checkActualSize(STRUCT_TYPE, Row("hello"), 28)
}
testNativeColumnType(BOOLEAN)
testNativeColumnType(BYTE)
testNativeColumnType(SHORT)
testNativeColumnType(INT)
testNativeColumnType(LONG)
testNativeColumnType(FLOAT)
testNativeColumnType(DOUBLE)
testNativeColumnType(COMPACT_DECIMAL(15, 10))
testNativeColumnType(STRING)
testColumnType(NULL)
testColumnType(BINARY)
testColumnType(LARGE_DECIMAL(20, 10))
testColumnType(STRUCT_TYPE)
testColumnType(ARRAY_TYPE)
testColumnType(MAP_TYPE)
def testNativeColumnType[T <: AtomicType](columnType: NativeColumnType[T]): Unit = {
testColumnType[T#InternalType](columnType)
}
def testColumnType[JvmType](columnType: ColumnType[JvmType]): Unit = {
val buffer = ByteBuffer.allocate(DEFAULT_BUFFER_SIZE).order(ByteOrder.nativeOrder())
val proj = UnsafeProjection.create(Array[DataType](columnType.dataType))
val converter = CatalystTypeConverters.createToScalaConverter(columnType.dataType)
val seq = (0 until 4).map(_ => proj(makeRandomRow(columnType)).copy())
test(s"$columnType append/extract") {
buffer.rewind()
seq.foreach(columnType.append(_, 0, buffer))
buffer.rewind()
seq.foreach { row =>
logInfo("buffer = " + buffer + ", expected = " + row)
val expected = converter(row.get(0, columnType.dataType))
val extracted = converter(columnType.extract(buffer))
assert(expected === extracted,
s"Extracted value didn't equal to the original one. $expected != $extracted, buffer =" +
dumpBuffer(buffer.duplicate().rewind().asInstanceOf[ByteBuffer]))
}
}
}
private def dumpBuffer(buff: ByteBuffer): Any = {
val sb = new StringBuilder()
while (buff.hasRemaining) {
val b = buff.get()
sb.append(Integer.toHexString(b & 0xff)).append(' ')
}
if (sb.nonEmpty) sb.setLength(sb.length - 1)
sb.toString()
}
test("column type for decimal types with different precision") {
(1 to 18).foreach { i =>
assertResult(COMPACT_DECIMAL(i, 0)) {
ColumnType(DecimalType(i, 0))
}
}
assertResult(LARGE_DECIMAL(19, 0)) {
ColumnType(DecimalType(19, 0))
}
}
}
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