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[SPARK-1133] Add whole text files reader in MLlib
Here is a pointer to the former [PR164](apache#164). I add the pull request for the JIRA issue [SPARK-1133](https://spark-project.atlassian.net/browse/SPARK-1133), which brings a new files reader API in MLlib. Author: Xusen Yin <[email protected]> Closes apache#252 from yinxusen/whole-files-input and squashes the following commits: 7191be6 [Xusen Yin] refine comments 0af3faf [Xusen Yin] add JavaAPI test 01745ee [Xusen Yin] fix deletion error cc97dca [Xusen Yin] move whole text file API to Spark core d792cee [Xusen Yin] remove the typo character "+" 6bdf2c2 [Xusen Yin] test for small local file system block size a1f1e7e [Xusen Yin] add two extra spaces 28cb0fe [Xusen Yin] add whole text files reader
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47 changes: 47 additions & 0 deletions
47
core/src/main/scala/org/apache/spark/input/WholeTextFileInputFormat.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.input | ||
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import org.apache.hadoop.fs.Path | ||
import org.apache.hadoop.mapreduce.InputSplit | ||
import org.apache.hadoop.mapreduce.JobContext | ||
import org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat | ||
import org.apache.hadoop.mapreduce.RecordReader | ||
import org.apache.hadoop.mapreduce.TaskAttemptContext | ||
import org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReader | ||
import org.apache.hadoop.mapreduce.lib.input.CombineFileSplit | ||
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/** | ||
* A [[org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat CombineFileInputFormat]] for | ||
* reading whole text files. Each file is read as key-value pair, where the key is the file path and | ||
* the value is the entire content of file. | ||
*/ | ||
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private[spark] class WholeTextFileInputFormat extends CombineFileInputFormat[String, String] { | ||
override protected def isSplitable(context: JobContext, file: Path): Boolean = false | ||
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override def createRecordReader( | ||
split: InputSplit, | ||
context: TaskAttemptContext): RecordReader[String, String] = { | ||
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new CombineFileRecordReader[String, String]( | ||
split.asInstanceOf[CombineFileSplit], | ||
context, | ||
classOf[WholeTextFileRecordReader]) | ||
} | ||
} |
72 changes: 72 additions & 0 deletions
72
core/src/main/scala/org/apache/spark/input/WholeTextFileRecordReader.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.input | ||
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import com.google.common.io.{ByteStreams, Closeables} | ||
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import org.apache.hadoop.io.Text | ||
import org.apache.hadoop.mapreduce.InputSplit | ||
import org.apache.hadoop.mapreduce.lib.input.CombineFileSplit | ||
import org.apache.hadoop.mapreduce.RecordReader | ||
import org.apache.hadoop.mapreduce.TaskAttemptContext | ||
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/** | ||
* A [[org.apache.hadoop.mapreduce.RecordReader RecordReader]] for reading a single whole text file | ||
* out in a key-value pair, where the key is the file path and the value is the entire content of | ||
* the file. | ||
*/ | ||
private[spark] class WholeTextFileRecordReader( | ||
split: CombineFileSplit, | ||
context: TaskAttemptContext, | ||
index: Integer) | ||
extends RecordReader[String, String] { | ||
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private val path = split.getPath(index) | ||
private val fs = path.getFileSystem(context.getConfiguration) | ||
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// True means the current file has been processed, then skip it. | ||
private var processed = false | ||
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private val key = path.toString | ||
private var value: String = null | ||
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override def initialize(split: InputSplit, context: TaskAttemptContext) = {} | ||
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override def close() = {} | ||
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override def getProgress = if (processed) 1.0f else 0.0f | ||
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override def getCurrentKey = key | ||
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override def getCurrentValue = value | ||
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override def nextKeyValue = { | ||
if (!processed) { | ||
val fileIn = fs.open(path) | ||
val innerBuffer = ByteStreams.toByteArray(fileIn) | ||
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value = new Text(innerBuffer).toString | ||
Closeables.close(fileIn, false) | ||
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processed = true | ||
true | ||
} else { | ||
false | ||
} | ||
} | ||
} |
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105 changes: 105 additions & 0 deletions
105
core/src/test/scala/org/apache/spark/input/WholeTextFileRecordReaderSuite.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.input | ||
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import java.io.DataOutputStream | ||
import java.io.File | ||
import java.io.FileOutputStream | ||
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import scala.collection.immutable.IndexedSeq | ||
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import com.google.common.io.Files | ||
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import org.scalatest.BeforeAndAfterAll | ||
import org.scalatest.FunSuite | ||
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import org.apache.hadoop.io.Text | ||
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import org.apache.spark.SparkContext | ||
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/** | ||
* Tests the correctness of | ||
* [[org.apache.spark.input.WholeTextFileRecordReader WholeTextFileRecordReader]]. A temporary | ||
* directory is created as fake input. Temporal storage would be deleted in the end. | ||
*/ | ||
class WholeTextFileRecordReaderSuite extends FunSuite with BeforeAndAfterAll { | ||
private var sc: SparkContext = _ | ||
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override def beforeAll() { | ||
sc = new SparkContext("local", "test") | ||
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// Set the block size of local file system to test whether files are split right or not. | ||
sc.hadoopConfiguration.setLong("fs.local.block.size", 32) | ||
} | ||
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override def afterAll() { | ||
sc.stop() | ||
} | ||
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private def createNativeFile(inputDir: File, fileName: String, contents: Array[Byte]) = { | ||
val out = new DataOutputStream(new FileOutputStream(s"${inputDir.toString}/$fileName")) | ||
out.write(contents, 0, contents.length) | ||
out.close() | ||
} | ||
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/** | ||
* This code will test the behaviors of WholeTextFileRecordReader based on local disk. There are | ||
* three aspects to check: | ||
* 1) Whether all files are read; | ||
* 2) Whether paths are read correctly; | ||
* 3) Does the contents be the same. | ||
*/ | ||
test("Correctness of WholeTextFileRecordReader.") { | ||
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val dir = Files.createTempDir() | ||
println(s"Local disk address is ${dir.toString}.") | ||
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WholeTextFileRecordReaderSuite.files.foreach { case (filename, contents) => | ||
createNativeFile(dir, filename, contents) | ||
} | ||
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val res = sc.wholeTextFiles(dir.toString).collect() | ||
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assert(res.size === WholeTextFileRecordReaderSuite.fileNames.size, | ||
"Number of files read out does not fit with the actual value.") | ||
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for ((filename, contents) <- res) { | ||
val shortName = filename.split('/').last | ||
assert(WholeTextFileRecordReaderSuite.fileNames.contains(shortName), | ||
s"Missing file name $filename.") | ||
assert(contents === new Text(WholeTextFileRecordReaderSuite.files(shortName)).toString, | ||
s"file $filename contents can not match.") | ||
} | ||
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dir.delete() | ||
} | ||
} | ||
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/** | ||
* Files to be tested are defined here. | ||
*/ | ||
object WholeTextFileRecordReaderSuite { | ||
private val testWords: IndexedSeq[Byte] = "Spark is easy to use.\n".map(_.toByte) | ||
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private val fileNames = Array("part-00000", "part-00001", "part-00002") | ||
private val fileLengths = Array(10, 100, 1000) | ||
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private val files = fileLengths.zip(fileNames).map { case (upperBound, filename) => | ||
filename -> Stream.continually(testWords.toList.toStream).flatten.take(upperBound).toArray | ||
}.toMap | ||
} |