Repository: spark Updated Branches: refs/heads/master 78236334e -> 1faa57971
http://git-wip-us.apache.org/repos/asf/spark/blob/1faa5797/sql/core/src/test/scala/org/apache/spark/sql/columnar/NullableColumnBuilderSuite.scala ---------------------------------------------------------------------- diff --git a/sql/core/src/test/scala/org/apache/spark/sql/columnar/NullableColumnBuilderSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/columnar/NullableColumnBuilderSuite.scala index 5222a47..d9d1e1b 100644 --- a/sql/core/src/test/scala/org/apache/spark/sql/columnar/NullableColumnBuilderSuite.scala +++ b/sql/core/src/test/scala/org/apache/spark/sql/columnar/NullableColumnBuilderSuite.scala @@ -19,63 +19,71 @@ package org.apache.spark.sql.columnar import org.scalatest.FunSuite -import org.apache.spark.sql.catalyst.types.DataType +import org.apache.spark.sql.catalyst.types._ import org.apache.spark.sql.execution.SparkSqlSerializer +class TestNullableColumnBuilder[T <: DataType, JvmType](columnType: ColumnType[T, JvmType]) + extends BasicColumnBuilder[T, JvmType](new NoopColumnStats[T, JvmType], columnType) + with NullableColumnBuilder + +object TestNullableColumnBuilder { + def apply[T <: DataType, JvmType](columnType: ColumnType[T, JvmType], initialSize: Int = 0) = { + val builder = new TestNullableColumnBuilder(columnType) + builder.initialize(initialSize) + builder + } +} + class NullableColumnBuilderSuite extends FunSuite { - import ColumnarTestData._ + import ColumnarTestUtils._ Seq(INT, LONG, SHORT, BOOLEAN, BYTE, STRING, DOUBLE, FLOAT, BINARY, GENERIC).foreach { testNullableColumnBuilder(_) } def testNullableColumnBuilder[T <: DataType, JvmType](columnType: ColumnType[T, JvmType]) { - val columnBuilder = ColumnBuilder(columnType.typeId) val typeName = columnType.getClass.getSimpleName.stripSuffix("$") test(s"$typeName column builder: empty column") { - columnBuilder.initialize(4) - + val columnBuilder = TestNullableColumnBuilder(columnType) val buffer = columnBuilder.build() - // For column type ID - assert(buffer.getInt() === columnType.typeId) - // For null count - assert(buffer.getInt === 0) + expectResult(columnType.typeId, "Wrong column type ID")(buffer.getInt()) + expectResult(0, "Wrong null count")(buffer.getInt()) assert(!buffer.hasRemaining) } test(s"$typeName column builder: buffer size auto growth") { - columnBuilder.initialize(4) + val columnBuilder = TestNullableColumnBuilder(columnType) + val randomRow = makeRandomRow(columnType) - (0 until 4) foreach { _ => - columnBuilder.appendFrom(nonNullRandomRow, columnType.typeId) + (0 until 4).foreach { _ => + columnBuilder.appendFrom(randomRow, 0) } val buffer = columnBuilder.build() - // For column type ID - assert(buffer.getInt() === columnType.typeId) - // For null count - assert(buffer.getInt() === 0) + expectResult(columnType.typeId, "Wrong column type ID")(buffer.getInt()) + expectResult(0, "Wrong null count")(buffer.getInt()) } test(s"$typeName column builder: null values") { - columnBuilder.initialize(4) + val columnBuilder = TestNullableColumnBuilder(columnType) + val randomRow = makeRandomRow(columnType) + val nullRow = makeNullRow(1) - (0 until 4) foreach { _ => - columnBuilder.appendFrom(nonNullRandomRow, columnType.typeId) - columnBuilder.appendFrom(nullRow, columnType.typeId) + (0 until 4).foreach { _ => + columnBuilder.appendFrom(randomRow, 0) + columnBuilder.appendFrom(nullRow, 0) } val buffer = columnBuilder.build() - // For column type ID - assert(buffer.getInt() === columnType.typeId) - // For null count - assert(buffer.getInt() === 4) + expectResult(columnType.typeId, "Wrong column type ID")(buffer.getInt()) + expectResult(4, "Wrong null count")(buffer.getInt()) + // For null positions - (1 to 7 by 2).foreach(i => assert(buffer.getInt() === i)) + (1 to 7 by 2).foreach(expectResult(_, "Wrong null position")(buffer.getInt())) // For non-null values (0 until 4).foreach { _ => @@ -84,7 +92,8 @@ class NullableColumnBuilderSuite extends FunSuite { } else { columnType.extract(buffer) } - assert(actual === nonNullRandomRow(columnType.typeId)) + + assert(actual === randomRow(0), "Extracted value didn't equal to the original one") } assert(!buffer.hasRemaining) http://git-wip-us.apache.org/repos/asf/spark/blob/1faa5797/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/DictionaryEncodingSuite.scala ---------------------------------------------------------------------- diff --git a/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/DictionaryEncodingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/DictionaryEncodingSuite.scala new file mode 100644 index 0000000..184691a --- /dev/null +++ b/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/DictionaryEncodingSuite.scala @@ -0,0 +1,113 @@ +/* + * 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.columnar.compression + +import java.nio.ByteBuffer + +import org.scalatest.FunSuite + +import org.apache.spark.sql.catalyst.types.NativeType +import org.apache.spark.sql.columnar._ +import org.apache.spark.sql.columnar.ColumnarTestUtils._ +import org.apache.spark.sql.catalyst.expressions.GenericMutableRow + +class DictionaryEncodingSuite extends FunSuite { + testDictionaryEncoding(new IntColumnStats, INT) + testDictionaryEncoding(new LongColumnStats, LONG) + testDictionaryEncoding(new StringColumnStats, STRING) + + def testDictionaryEncoding[T <: NativeType]( + columnStats: NativeColumnStats[T], + columnType: NativeColumnType[T]) { + + val typeName = columnType.getClass.getSimpleName.stripSuffix("$") + + def buildDictionary(buffer: ByteBuffer) = { + (0 until buffer.getInt()).map(columnType.extract(buffer) -> _.toShort).toMap + } + + test(s"$DictionaryEncoding with $typeName: simple case") { + // ------------- + // Tests encoder + // ------------- + + val builder = TestCompressibleColumnBuilder(columnStats, columnType, DictionaryEncoding) + val (values, rows) = makeUniqueValuesAndSingleValueRows(columnType, 2) + + builder.initialize(0) + builder.appendFrom(rows(0), 0) + builder.appendFrom(rows(1), 0) + builder.appendFrom(rows(0), 0) + builder.appendFrom(rows(1), 0) + + val buffer = builder.build() + val headerSize = CompressionScheme.columnHeaderSize(buffer) + // 4 extra bytes for dictionary size + val dictionarySize = 4 + values.map(columnType.actualSize).sum + // 4 `Short`s, 2 bytes each + val compressedSize = dictionarySize + 2 * 4 + // 4 extra bytes for compression scheme type ID + expectResult(headerSize + 4 + compressedSize, "Wrong buffer capacity")(buffer.capacity) + + // Skips column header + buffer.position(headerSize) + expectResult(DictionaryEncoding.typeId, "Wrong compression scheme ID")(buffer.getInt()) + + val dictionary = buildDictionary(buffer) + Array[Short](0, 1).foreach { i => + expectResult(i, "Wrong dictionary entry")(dictionary(values(i))) + } + + Array[Short](0, 1, 0, 1).foreach { + expectResult(_, "Wrong column element value")(buffer.getShort()) + } + + // ------------- + // Tests decoder + // ------------- + + // Rewinds, skips column header and 4 more bytes for compression scheme ID + buffer.rewind().position(headerSize + 4) + + val decoder = new DictionaryEncoding.Decoder[T](buffer, columnType) + + Array[Short](0, 1, 0, 1).foreach { i => + expectResult(values(i), "Wrong decoded value")(decoder.next()) + } + + assert(!decoder.hasNext) + } + } + + test(s"$DictionaryEncoding: overflow") { + val builder = TestCompressibleColumnBuilder(new IntColumnStats, INT, DictionaryEncoding) + builder.initialize(0) + + (0 to Short.MaxValue).foreach { n => + val row = new GenericMutableRow(1) + row.setInt(0, n) + builder.appendFrom(row, 0) + } + + withClue("Dictionary overflowed, encoding should fail") { + intercept[Throwable] { + builder.build() + } + } + } +} http://git-wip-us.apache.org/repos/asf/spark/blob/1faa5797/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/RunLengthEncodingSuite.scala ---------------------------------------------------------------------- diff --git a/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/RunLengthEncodingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/RunLengthEncodingSuite.scala new file mode 100644 index 0000000..2089ad1 --- /dev/null +++ b/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/RunLengthEncodingSuite.scala @@ -0,0 +1,130 @@ +/* + * 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.columnar.compression + +import org.scalatest.FunSuite + +import org.apache.spark.sql.catalyst.types.NativeType +import org.apache.spark.sql.columnar._ +import org.apache.spark.sql.columnar.ColumnarTestUtils._ + +class RunLengthEncodingSuite extends FunSuite { + testRunLengthEncoding(new BooleanColumnStats, BOOLEAN) + testRunLengthEncoding(new ByteColumnStats, BYTE) + testRunLengthEncoding(new ShortColumnStats, SHORT) + testRunLengthEncoding(new IntColumnStats, INT) + testRunLengthEncoding(new LongColumnStats, LONG) + testRunLengthEncoding(new StringColumnStats, STRING) + + def testRunLengthEncoding[T <: NativeType]( + columnStats: NativeColumnStats[T], + columnType: NativeColumnType[T]) { + + val typeName = columnType.getClass.getSimpleName.stripSuffix("$") + + test(s"$RunLengthEncoding with $typeName: simple case") { + // ------------- + // Tests encoder + // ------------- + + val builder = TestCompressibleColumnBuilder(columnStats, columnType, RunLengthEncoding) + val (values, rows) = makeUniqueValuesAndSingleValueRows(columnType, 2) + + builder.initialize(0) + builder.appendFrom(rows(0), 0) + builder.appendFrom(rows(0), 0) + builder.appendFrom(rows(1), 0) + builder.appendFrom(rows(1), 0) + + val buffer = builder.build() + val headerSize = CompressionScheme.columnHeaderSize(buffer) + // 4 extra bytes each run for run length + val compressedSize = values.map(columnType.actualSize(_) + 4).sum + // 4 extra bytes for compression scheme type ID + expectResult(headerSize + 4 + compressedSize, "Wrong buffer capacity")(buffer.capacity) + + // Skips column header + buffer.position(headerSize) + expectResult(RunLengthEncoding.typeId, "Wrong compression scheme ID")(buffer.getInt()) + + Array(0, 1).foreach { i => + expectResult(values(i), "Wrong column element value")(columnType.extract(buffer)) + expectResult(2, "Wrong run length")(buffer.getInt()) + } + + // ------------- + // Tests decoder + // ------------- + + // Rewinds, skips column header and 4 more bytes for compression scheme ID + buffer.rewind().position(headerSize + 4) + + val decoder = new RunLengthEncoding.Decoder[T](buffer, columnType) + + Array(0, 0, 1, 1).foreach { i => + expectResult(values(i), "Wrong decoded value")(decoder.next()) + } + + assert(!decoder.hasNext) + } + + test(s"$RunLengthEncoding with $typeName: run length == 1") { + // ------------- + // Tests encoder + // ------------- + + val builder = TestCompressibleColumnBuilder(columnStats, columnType, RunLengthEncoding) + val (values, rows) = makeUniqueValuesAndSingleValueRows(columnType, 2) + + builder.initialize(0) + builder.appendFrom(rows(0), 0) + builder.appendFrom(rows(1), 0) + + val buffer = builder.build() + val headerSize = CompressionScheme.columnHeaderSize(buffer) + // 4 bytes each run for run length + val compressedSize = values.map(columnType.actualSize(_) + 4).sum + // 4 bytes for compression scheme type ID + expectResult(headerSize + 4 + compressedSize, "Wrong buffer capacity")(buffer.capacity) + + // Skips column header + buffer.position(headerSize) + expectResult(RunLengthEncoding.typeId, "Wrong compression scheme ID")(buffer.getInt()) + + Array(0, 1).foreach { i => + expectResult(values(i), "Wrong column element value")(columnType.extract(buffer)) + expectResult(1, "Wrong run length")(buffer.getInt()) + } + + // ------------- + // Tests decoder + // ------------- + + // Rewinds, skips column header and 4 more bytes for compression scheme ID + buffer.rewind().position(headerSize + 4) + + val decoder = new RunLengthEncoding.Decoder[T](buffer, columnType) + + Array(0, 1).foreach { i => + expectResult(values(i), "Wrong decoded value")(decoder.next()) + } + + assert(!decoder.hasNext) + } + } +} http://git-wip-us.apache.org/repos/asf/spark/blob/1faa5797/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/TestCompressibleColumnBuilder.scala ---------------------------------------------------------------------- diff --git a/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/TestCompressibleColumnBuilder.scala b/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/TestCompressibleColumnBuilder.scala new file mode 100644 index 0000000..e0ec812 --- /dev/null +++ b/sql/core/src/test/scala/org/apache/spark/sql/columnar/compression/TestCompressibleColumnBuilder.scala @@ -0,0 +1,43 @@ +/* + * 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.columnar.compression + +import org.apache.spark.sql.catalyst.types.NativeType +import org.apache.spark.sql.columnar._ + +class TestCompressibleColumnBuilder[T <: NativeType]( + override val columnStats: NativeColumnStats[T], + override val columnType: NativeColumnType[T], + override val schemes: Seq[CompressionScheme]) + extends NativeColumnBuilder(columnStats, columnType) + with NullableColumnBuilder + with CompressibleColumnBuilder[T] { + + override protected def isWorthCompressing(encoder: Encoder) = true +} + +object TestCompressibleColumnBuilder { + def apply[T <: NativeType]( + columnStats: NativeColumnStats[T], + columnType: NativeColumnType[T], + scheme: CompressionScheme) = { + + new TestCompressibleColumnBuilder(columnStats, columnType, Seq(scheme)) + } +} +
