diff options
Diffstat (limited to 'core')
7 files changed, 222 insertions, 11 deletions
diff --git a/core/src/main/scala/org/apache/spark/api/java/JavaHadoopRDD.scala b/core/src/main/scala/org/apache/spark/api/java/JavaHadoopRDD.scala new file mode 100644 index 0000000000..0ae0b4ec04 --- /dev/null +++ b/core/src/main/scala/org/apache/spark/api/java/JavaHadoopRDD.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.api.java + +import scala.collection.JavaConversions._ +import scala.reflect.ClassTag + +import org.apache.hadoop.mapred.InputSplit + +import org.apache.spark.annotation.DeveloperApi +import org.apache.spark.api.java.JavaSparkContext._ +import org.apache.spark.api.java.function.{Function2 => JFunction2} +import org.apache.spark.rdd.HadoopRDD + +@DeveloperApi +class JavaHadoopRDD[K, V](rdd: HadoopRDD[K, V]) + (implicit override val kClassTag: ClassTag[K], implicit override val vClassTag: ClassTag[V]) + extends JavaPairRDD[K, V](rdd) { + + /** Maps over a partition, providing the InputSplit that was used as the base of the partition. */ + @DeveloperApi + def mapPartitionsWithInputSplit[R]( + f: JFunction2[InputSplit, java.util.Iterator[(K, V)], java.util.Iterator[R]], + preservesPartitioning: Boolean = false): JavaRDD[R] = { + new JavaRDD(rdd.mapPartitionsWithInputSplit((a, b) => f.call(a, asJavaIterator(b)), + preservesPartitioning)(fakeClassTag))(fakeClassTag) + } +} diff --git a/core/src/main/scala/org/apache/spark/api/java/JavaNewHadoopRDD.scala b/core/src/main/scala/org/apache/spark/api/java/JavaNewHadoopRDD.scala new file mode 100644 index 0000000000..ec4f3964d7 --- /dev/null +++ b/core/src/main/scala/org/apache/spark/api/java/JavaNewHadoopRDD.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.api.java + +import scala.collection.JavaConversions._ +import scala.reflect.ClassTag + +import org.apache.hadoop.mapreduce.InputSplit + +import org.apache.spark.annotation.DeveloperApi +import org.apache.spark.api.java.JavaSparkContext._ +import org.apache.spark.api.java.function.{Function2 => JFunction2} +import org.apache.spark.rdd.NewHadoopRDD + +@DeveloperApi +class JavaNewHadoopRDD[K, V](rdd: NewHadoopRDD[K, V]) + (implicit override val kClassTag: ClassTag[K], implicit override val vClassTag: ClassTag[V]) + extends JavaPairRDD[K, V](rdd) { + + /** Maps over a partition, providing the InputSplit that was used as the base of the partition. */ + @DeveloperApi + def mapPartitionsWithInputSplit[R]( + f: JFunction2[InputSplit, java.util.Iterator[(K, V)], java.util.Iterator[R]], + preservesPartitioning: Boolean = false): JavaRDD[R] = { + new JavaRDD(rdd.mapPartitionsWithInputSplit((a, b) => f.call(a, asJavaIterator(b)), + preservesPartitioning)(fakeClassTag))(fakeClassTag) + } +} diff --git a/core/src/main/scala/org/apache/spark/api/java/JavaSparkContext.scala b/core/src/main/scala/org/apache/spark/api/java/JavaSparkContext.scala index 8a5f8088a0..d9d1c5955c 100644 --- a/core/src/main/scala/org/apache/spark/api/java/JavaSparkContext.scala +++ b/core/src/main/scala/org/apache/spark/api/java/JavaSparkContext.scala @@ -34,7 +34,7 @@ import org.apache.spark._ import org.apache.spark.SparkContext.{DoubleAccumulatorParam, IntAccumulatorParam} import org.apache.spark.api.java.JavaSparkContext.fakeClassTag import org.apache.spark.broadcast.Broadcast -import org.apache.spark.rdd.{EmptyRDD, RDD} +import org.apache.spark.rdd.{EmptyRDD, HadoopRDD, NewHadoopRDD, RDD} /** * A Java-friendly version of [[org.apache.spark.SparkContext]] that returns @@ -294,7 +294,8 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork ): JavaPairRDD[K, V] = { implicit val ctagK: ClassTag[K] = ClassTag(keyClass) implicit val ctagV: ClassTag[V] = ClassTag(valueClass) - new JavaPairRDD(sc.hadoopRDD(conf, inputFormatClass, keyClass, valueClass, minPartitions)) + val rdd = sc.hadoopRDD(conf, inputFormatClass, keyClass, valueClass, minPartitions) + new JavaHadoopRDD(rdd.asInstanceOf[HadoopRDD[K, V]]) } /** @@ -314,7 +315,8 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork ): JavaPairRDD[K, V] = { implicit val ctagK: ClassTag[K] = ClassTag(keyClass) implicit val ctagV: ClassTag[V] = ClassTag(valueClass) - new JavaPairRDD(sc.hadoopRDD(conf, inputFormatClass, keyClass, valueClass)) + val rdd = sc.hadoopRDD(conf, inputFormatClass, keyClass, valueClass) + new JavaHadoopRDD(rdd.asInstanceOf[HadoopRDD[K, V]]) } /** Get an RDD for a Hadoop file with an arbitrary InputFormat. @@ -333,7 +335,8 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork ): JavaPairRDD[K, V] = { implicit val ctagK: ClassTag[K] = ClassTag(keyClass) implicit val ctagV: ClassTag[V] = ClassTag(valueClass) - new JavaPairRDD(sc.hadoopFile(path, inputFormatClass, keyClass, valueClass, minPartitions)) + val rdd = sc.hadoopFile(path, inputFormatClass, keyClass, valueClass, minPartitions) + new JavaHadoopRDD(rdd.asInstanceOf[HadoopRDD[K, V]]) } /** Get an RDD for a Hadoop file with an arbitrary InputFormat @@ -351,8 +354,8 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork ): JavaPairRDD[K, V] = { implicit val ctagK: ClassTag[K] = ClassTag(keyClass) implicit val ctagV: ClassTag[V] = ClassTag(valueClass) - new JavaPairRDD(sc.hadoopFile(path, - inputFormatClass, keyClass, valueClass)) + val rdd = sc.hadoopFile(path, inputFormatClass, keyClass, valueClass) + new JavaHadoopRDD(rdd.asInstanceOf[HadoopRDD[K, V]]) } /** @@ -372,7 +375,8 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork conf: Configuration): JavaPairRDD[K, V] = { implicit val ctagK: ClassTag[K] = ClassTag(kClass) implicit val ctagV: ClassTag[V] = ClassTag(vClass) - new JavaPairRDD(sc.newAPIHadoopFile(path, fClass, kClass, vClass, conf)) + val rdd = sc.newAPIHadoopFile(path, fClass, kClass, vClass, conf) + new JavaNewHadoopRDD(rdd.asInstanceOf[NewHadoopRDD[K, V]]) } /** @@ -391,7 +395,8 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork vClass: Class[V]): JavaPairRDD[K, V] = { implicit val ctagK: ClassTag[K] = ClassTag(kClass) implicit val ctagV: ClassTag[V] = ClassTag(vClass) - new JavaPairRDD(sc.newAPIHadoopRDD(conf, fClass, kClass, vClass)) + val rdd = sc.newAPIHadoopRDD(conf, fClass, kClass, vClass) + new JavaNewHadoopRDD(rdd.asInstanceOf[NewHadoopRDD[K, V]]) } /** Build the union of two or more RDDs. */ diff --git a/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala index e521612ffc..8d92ea01d9 100644 --- a/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala +++ b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala @@ -20,7 +20,9 @@ package org.apache.spark.rdd import java.text.SimpleDateFormat import java.util.Date import java.io.EOFException + import scala.collection.immutable.Map +import scala.reflect.ClassTag import org.apache.hadoop.conf.{Configurable, Configuration} import org.apache.hadoop.mapred.FileSplit @@ -39,6 +41,7 @@ import org.apache.spark.annotation.DeveloperApi import org.apache.spark.broadcast.Broadcast import org.apache.spark.deploy.SparkHadoopUtil import org.apache.spark.executor.{DataReadMethod, InputMetrics} +import org.apache.spark.rdd.HadoopRDD.HadoopMapPartitionsWithSplitRDD import org.apache.spark.util.NextIterator /** @@ -232,6 +235,14 @@ class HadoopRDD[K, V]( new InterruptibleIterator[(K, V)](context, iter) } + /** Maps over a partition, providing the InputSplit that was used as the base of the partition. */ + @DeveloperApi + def mapPartitionsWithInputSplit[U: ClassTag]( + f: (InputSplit, Iterator[(K, V)]) => Iterator[U], + preservesPartitioning: Boolean = false): RDD[U] = { + new HadoopMapPartitionsWithSplitRDD(this, f, preservesPartitioning) + } + override def getPreferredLocations(split: Partition): Seq[String] = { // TODO: Filtering out "localhost" in case of file:// URLs val hadoopSplit = split.asInstanceOf[HadoopPartition] @@ -272,4 +283,25 @@ private[spark] object HadoopRDD { conf.setInt("mapred.task.partition", splitId) conf.set("mapred.job.id", jobID.toString) } + + /** + * Analogous to [[org.apache.spark.rdd.MapPartitionsRDD]], but passes in an InputSplit to + * the given function rather than the index of the partition. + */ + private[spark] class HadoopMapPartitionsWithSplitRDD[U: ClassTag, T: ClassTag]( + prev: RDD[T], + f: (InputSplit, Iterator[T]) => Iterator[U], + preservesPartitioning: Boolean = false) + extends RDD[U](prev) { + + override val partitioner = if (preservesPartitioning) firstParent[T].partitioner else None + + override def getPartitions: Array[Partition] = firstParent[T].partitions + + override def compute(split: Partition, context: TaskContext) = { + val partition = split.asInstanceOf[HadoopPartition] + val inputSplit = partition.inputSplit.value + f(inputSplit, firstParent[T].iterator(split, context)) + } + } } diff --git a/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala b/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala index f2b3a64bf1..7dfec9a18e 100644 --- a/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala +++ b/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala @@ -20,6 +20,8 @@ package org.apache.spark.rdd import java.text.SimpleDateFormat import java.util.Date +import scala.reflect.ClassTag + import org.apache.hadoop.conf.{Configurable, Configuration} import org.apache.hadoop.io.Writable import org.apache.hadoop.mapreduce._ @@ -32,6 +34,7 @@ import org.apache.spark.Partition import org.apache.spark.SerializableWritable import org.apache.spark.{SparkContext, TaskContext} import org.apache.spark.executor.{DataReadMethod, InputMetrics} +import org.apache.spark.rdd.NewHadoopRDD.NewHadoopMapPartitionsWithSplitRDD private[spark] class NewHadoopPartition( rddId: Int, @@ -157,6 +160,14 @@ class NewHadoopRDD[K, V]( new InterruptibleIterator(context, iter) } + /** Maps over a partition, providing the InputSplit that was used as the base of the partition. */ + @DeveloperApi + def mapPartitionsWithInputSplit[U: ClassTag]( + f: (InputSplit, Iterator[(K, V)]) => Iterator[U], + preservesPartitioning: Boolean = false): RDD[U] = { + new NewHadoopMapPartitionsWithSplitRDD(this, f, preservesPartitioning) + } + override def getPreferredLocations(split: Partition): Seq[String] = { val theSplit = split.asInstanceOf[NewHadoopPartition] theSplit.serializableHadoopSplit.value.getLocations.filter(_ != "localhost") @@ -165,6 +176,29 @@ class NewHadoopRDD[K, V]( def getConf: Configuration = confBroadcast.value.value } +private[spark] object NewHadoopRDD { + /** + * Analogous to [[org.apache.spark.rdd.MapPartitionsRDD]], but passes in an InputSplit to + * the given function rather than the index of the partition. + */ + private[spark] class NewHadoopMapPartitionsWithSplitRDD[U: ClassTag, T: ClassTag]( + prev: RDD[T], + f: (InputSplit, Iterator[T]) => Iterator[U], + preservesPartitioning: Boolean = false) + extends RDD[U](prev) { + + override val partitioner = if (preservesPartitioning) firstParent[T].partitioner else None + + override def getPartitions: Array[Partition] = firstParent[T].partitions + + override def compute(split: Partition, context: TaskContext) = { + val partition = split.asInstanceOf[NewHadoopPartition] + val inputSplit = partition.serializableHadoopSplit.value + f(inputSplit, firstParent[T].iterator(split, context)) + } + } +} + private[spark] class WholeTextFileRDD( sc : SparkContext, inputFormatClass: Class[_ <: WholeTextFileInputFormat], diff --git a/core/src/test/java/org/apache/spark/JavaAPISuite.java b/core/src/test/java/org/apache/spark/JavaAPISuite.java index fab64a54e2..56150caa5d 100644 --- a/core/src/test/java/org/apache/spark/JavaAPISuite.java +++ b/core/src/test/java/org/apache/spark/JavaAPISuite.java @@ -25,19 +25,23 @@ import scala.Tuple2; import scala.Tuple3; import scala.Tuple4; - import com.google.common.collect.Iterables; import com.google.common.collect.Iterators; import com.google.common.collect.Lists; import com.google.common.collect.Maps; +import com.google.common.collect.Sets; import com.google.common.base.Optional; import com.google.common.base.Charsets; import com.google.common.io.Files; import org.apache.hadoop.io.IntWritable; +import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.io.compress.DefaultCodec; +import org.apache.hadoop.mapred.FileSplit; +import org.apache.hadoop.mapred.InputSplit; import org.apache.hadoop.mapred.SequenceFileInputFormat; import org.apache.hadoop.mapred.SequenceFileOutputFormat; +import org.apache.hadoop.mapred.TextInputFormat; import org.apache.hadoop.mapreduce.Job; import org.junit.After; import org.junit.Assert; @@ -45,6 +49,7 @@ import org.junit.Before; import org.junit.Test; import org.apache.spark.api.java.JavaDoubleRDD; +import org.apache.spark.api.java.JavaHadoopRDD; import org.apache.spark.api.java.JavaPairRDD; import org.apache.spark.api.java.JavaRDD; import org.apache.spark.api.java.JavaSparkContext; @@ -1262,4 +1267,23 @@ public class JavaAPISuite implements Serializable { SomeCustomClass[] collected = (SomeCustomClass[]) rdd.rdd().retag(SomeCustomClass.class).collect(); Assert.assertEquals(data.size(), collected.length); } + + public void getHadoopInputSplits() { + String outDir = new File(tempDir, "output").getAbsolutePath(); + sc.parallelize(Arrays.asList(1, 2, 3, 4, 5), 2).saveAsTextFile(outDir); + + JavaHadoopRDD<LongWritable, Text> hadoopRDD = (JavaHadoopRDD<LongWritable, Text>) + sc.hadoopFile(outDir, TextInputFormat.class, LongWritable.class, Text.class); + List<String> inputPaths = hadoopRDD.mapPartitionsWithInputSplit( + new Function2<InputSplit, Iterator<Tuple2<LongWritable, Text>>, Iterator<String>>() { + @Override + public Iterator<String> call(InputSplit split, Iterator<Tuple2<LongWritable, Text>> it) + throws Exception { + FileSplit fileSplit = (FileSplit) split; + return Lists.newArrayList(fileSplit.getPath().toUri().getPath()).iterator(); + } + }, true).collect(); + Assert.assertEquals(Sets.newHashSet(inputPaths), + Sets.newHashSet(outDir + "/part-00000", outDir + "/part-00001")); + } } diff --git a/core/src/test/scala/org/apache/spark/FileSuite.scala b/core/src/test/scala/org/apache/spark/FileSuite.scala index c70e22cf09..4a53d25012 100644 --- a/core/src/test/scala/org/apache/spark/FileSuite.scala +++ b/core/src/test/scala/org/apache/spark/FileSuite.scala @@ -24,12 +24,14 @@ import scala.io.Source import com.google.common.io.Files import org.apache.hadoop.io._ import org.apache.hadoop.io.compress.DefaultCodec -import org.apache.hadoop.mapred.{JobConf, FileAlreadyExistsException, TextOutputFormat} -import org.apache.hadoop.mapreduce.lib.output.{TextOutputFormat => NewTextOutputFormat} +import org.apache.hadoop.mapred.{JobConf, FileAlreadyExistsException, FileSplit, TextInputFormat, TextOutputFormat} import org.apache.hadoop.mapreduce.Job +import org.apache.hadoop.mapreduce.lib.input.{FileSplit => NewFileSplit, TextInputFormat => NewTextInputFormat} +import org.apache.hadoop.mapreduce.lib.output.{TextOutputFormat => NewTextOutputFormat} import org.scalatest.FunSuite import org.apache.spark.SparkContext._ +import org.apache.spark.rdd.{NewHadoopRDD, HadoopRDD} import org.apache.spark.util.Utils class FileSuite extends FunSuite with LocalSparkContext { @@ -318,4 +320,32 @@ class FileSuite extends FunSuite with LocalSparkContext { randomRDD.saveAsNewAPIHadoopDataset(job.getConfiguration) assert(new File(tempDir.getPath + "/outputDataset_new/part-r-00000").exists() === true) } + + test("Get input files via old Hadoop API") { + sc = new SparkContext("local", "test") + val outDir = new File(tempDir, "output").getAbsolutePath + sc.makeRDD(1 to 4, 2).saveAsTextFile(outDir) + + val inputPaths = + sc.hadoopFile(outDir, classOf[TextInputFormat], classOf[LongWritable], classOf[Text]) + .asInstanceOf[HadoopRDD[_, _]] + .mapPartitionsWithInputSplit { (split, part) => + Iterator(split.asInstanceOf[FileSplit].getPath.toUri.getPath) + }.collect() + assert(inputPaths.toSet === Set(s"$outDir/part-00000", s"$outDir/part-00001")) + } + + test("Get input files via new Hadoop API") { + sc = new SparkContext("local", "test") + val outDir = new File(tempDir, "output").getAbsolutePath + sc.makeRDD(1 to 4, 2).saveAsTextFile(outDir) + + val inputPaths = + sc.newAPIHadoopFile(outDir, classOf[NewTextInputFormat], classOf[LongWritable], classOf[Text]) + .asInstanceOf[NewHadoopRDD[_, _]] + .mapPartitionsWithInputSplit { (split, part) => + Iterator(split.asInstanceOf[NewFileSplit].getPath.toUri.getPath) + }.collect() + assert(inputPaths.toSet === Set(s"$outDir/part-00000", s"$outDir/part-00001")) + } } |