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Added test suite for IntegralDelta (IntDelta & LongDelta)
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sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/IntegralDeltaSuite.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.columnar.compression | ||
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import org.scalatest.FunSuite | ||
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import org.apache.spark.sql.catalyst.expressions.GenericMutableRow | ||
import org.apache.spark.sql.catalyst.types.IntegralType | ||
import org.apache.spark.sql.columnar._ | ||
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class IntegralDeltaSuite extends FunSuite { | ||
testIntegralDelta(new IntColumnStats, INT, IntDelta) | ||
testIntegralDelta(new LongColumnStats, LONG, LongDelta) | ||
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def testIntegralDelta[I <: IntegralType]( | ||
columnStats: NativeColumnStats[I], | ||
columnType: NativeColumnType[I], | ||
scheme: IntegralDelta[I]) { | ||
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def skeleton(input: Seq[I#JvmType]) { | ||
// ------------- | ||
// Tests encoder | ||
// ------------- | ||
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val builder = TestCompressibleColumnBuilder(columnStats, columnType, scheme) | ||
val deltas = if (input.isEmpty) { | ||
Seq.empty[Long] | ||
} else { | ||
(input.tail, input.init).zipped.map { | ||
case (x: Int, y: Int) => (x - y).toLong | ||
case (x: Long, y: Long) => x - y | ||
} | ||
} | ||
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input.map { value => | ||
val row = new GenericMutableRow(1) | ||
columnType.setField(row, 0, value) | ||
builder.appendFrom(row, 0) | ||
} | ||
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val buffer = builder.build() | ||
// Column type ID + null count + null positions | ||
val headerSize = CompressionScheme.columnHeaderSize(buffer) | ||
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// Compression scheme ID + compressed contents | ||
val compressedSize = 4 + (if (deltas.isEmpty) { | ||
0 | ||
} else { | ||
val oneBoolean = columnType.defaultSize | ||
1 + oneBoolean + deltas.map { | ||
d => if (math.abs(d) < Byte.MaxValue) 1 else 1 + oneBoolean | ||
}.sum | ||
}) | ||
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// 4 extra bytes for compression scheme type ID | ||
expectResult(headerSize + compressedSize, "Wrong buffer capacity")(buffer.capacity) | ||
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buffer.position(headerSize) | ||
expectResult(scheme.typeId, "Wrong compression scheme ID")(buffer.getInt()) | ||
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if (input.nonEmpty) { | ||
expectResult(Byte.MinValue, "The first byte should be an escaping mark")(buffer.get()) | ||
expectResult(input.head, "The first value is wrong")(columnType.extract(buffer)) | ||
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(input.tail, deltas).zipped.foreach { (value, delta) => | ||
if (delta < Byte.MaxValue) { | ||
expectResult(delta, "Wrong delta")(buffer.get()) | ||
} else { | ||
expectResult(Byte.MinValue, "Expecting escaping mark here")(buffer.get()) | ||
expectResult(value, "Wrong value")(columnType.extract(buffer)) | ||
} | ||
} | ||
} | ||
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// ------------- | ||
// Tests decoder | ||
// ------------- | ||
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// Rewinds, skips column header and 4 more bytes for compression scheme ID | ||
buffer.rewind().position(headerSize + 4) | ||
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val decoder = scheme.decoder(buffer, columnType) | ||
input.foreach(expectResult(_, "Wrong decoded value")(decoder.next())) | ||
assert(!decoder.hasNext) | ||
} | ||
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test(s"$scheme: empty column") { | ||
skeleton(Seq.empty) | ||
} | ||
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test(s"$scheme: simple case") { | ||
val input = columnType match { | ||
case INT => Seq(1: Int, 2: Int, 130: Int) | ||
case LONG => Seq(1: Long, 2: Long, 130: Long) | ||
} | ||
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skeleton(input.map(_.asInstanceOf[I#JvmType])) | ||
} | ||
} | ||
} |