adding clone records field to equivaled java apis
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@ -137,7 +137,7 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork
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*/
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def textFile(path: String, minSplits: Int): JavaRDD[String] = sc.textFile(path, minSplits)
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/**Get an RDD for a Hadoop SequenceFile with given key and value types. */
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/** Get an RDD for a Hadoop SequenceFile with given key and value types. */
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def sequenceFile[K, V](path: String,
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keyClass: Class[K],
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valueClass: Class[V],
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@ -148,7 +148,19 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork
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new JavaPairRDD(sc.sequenceFile(path, keyClass, valueClass, minSplits))
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}
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/**Get an RDD for a Hadoop SequenceFile. */
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/** Get an RDD for a Hadoop SequenceFile with given key and value types. */
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def sequenceFile[K, V](path: String,
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keyClass: Class[K],
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valueClass: Class[V],
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minSplits: Int,
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cloneRecords: Boolean
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): JavaPairRDD[K, V] = {
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implicit val kcm: ClassTag[K] = ClassTag(keyClass)
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implicit val vcm: ClassTag[V] = ClassTag(valueClass)
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new JavaPairRDD(sc.sequenceFile(path, keyClass, valueClass, minSplits, cloneRecords))
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}
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/** Get an RDD for a Hadoop SequenceFile. */
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def sequenceFile[K, V](path: String, keyClass: Class[K], valueClass: Class[V]):
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JavaPairRDD[K, V] = {
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implicit val kcm: ClassTag[K] = ClassTag(keyClass)
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@ -156,6 +168,15 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork
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new JavaPairRDD(sc.sequenceFile(path, keyClass, valueClass))
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}
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/** Get an RDD for a Hadoop SequenceFile. */
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def sequenceFile[K, V](path: String, keyClass: Class[K], valueClass: Class[V],
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cloneRecords: Boolean):
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JavaPairRDD[K, V] = {
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implicit val kcm: ClassTag[K] = ClassTag(keyClass)
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implicit val vcm: ClassTag[V] = ClassTag(valueClass)
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new JavaPairRDD(sc.sequenceFile(path, keyClass, valueClass, cloneRecords))
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}
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/**
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* Load an RDD saved as a SequenceFile containing serialized objects, with NullWritable keys and
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* BytesWritable values that contain a serialized partition. This is still an experimental storage
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@ -197,6 +218,37 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork
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new JavaPairRDD(sc.hadoopRDD(conf, inputFormatClass, keyClass, valueClass, minSplits))
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}
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/**
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* Get an RDD for a Hadoop-readable dataset from a Hadoop JobConf given its InputFormat and other
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* necessary info (e.g. file name for a filesystem-based dataset, table name for HyperTable),
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* using the older MapReduce API (`org.apache.hadoop.mapred`).
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*
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* @param conf JobConf for setting up the dataset
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* @param inputFormatClass Class of the [[InputFormat]]
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* @param keyClass Class of the keys
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* @param valueClass Class of the values
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* @param minSplits Minimum number of Hadoop Splits to generate.
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* @param cloneRecords If true, Spark will clone the records produced by Hadoop RecordReader.
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* Most RecordReader implementations reuse wrapper objects across multiple
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* records, and can cause problems in RDD collect or aggregation operations.
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* By default the records are cloned in Spark. However, application
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* programmers can explicitly disable the cloning for better performance.
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*/
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def hadoopRDD[K, V, F <: InputFormat[K, V]](
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conf: JobConf,
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inputFormatClass: Class[F],
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keyClass: Class[K],
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valueClass: Class[V],
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minSplits: Int,
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cloneRecords: Boolean
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): JavaPairRDD[K, V] = {
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implicit val kcm: ClassTag[K] = ClassTag(keyClass)
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implicit val vcm: ClassTag[V] = ClassTag(valueClass)
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new JavaPairRDD(sc.hadoopRDD(conf, inputFormatClass, keyClass, valueClass, minSplits,
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cloneRecords))
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}
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/**
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* Get an RDD for a Hadoop-readable dataset from a Hadooop JobConf giving its InputFormat and any
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* other necessary info (e.g. file name for a filesystem-based dataset, table name for HyperTable,
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@ -226,6 +278,21 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork
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new JavaPairRDD(sc.hadoopFile(path, inputFormatClass, keyClass, valueClass, minSplits))
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}
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/** Get an RDD for a Hadoop file with an arbitrary InputFormat */
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def hadoopFile[K, V, F <: InputFormat[K, V]](
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path: String,
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inputFormatClass: Class[F],
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keyClass: Class[K],
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valueClass: Class[V],
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minSplits: Int,
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cloneRecords: Boolean
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): JavaPairRDD[K, V] = {
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implicit val kcm: ClassTag[K] = ClassTag(keyClass)
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implicit val vcm: ClassTag[V] = ClassTag(valueClass)
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new JavaPairRDD(sc.hadoopFile(path, inputFormatClass, keyClass, valueClass,
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minSplits, cloneRecords))
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}
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/** Get an RDD for a Hadoop file with an arbitrary InputFormat */
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def hadoopFile[K, V, F <: InputFormat[K, V]](
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path: String,
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@ -239,6 +306,20 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork
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inputFormatClass, keyClass, valueClass))
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}
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/** Get an RDD for a Hadoop file with an arbitrary InputFormat */
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def hadoopFile[K, V, F <: InputFormat[K, V]](
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path: String,
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inputFormatClass: Class[F],
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keyClass: Class[K],
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valueClass: Class[V],
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cloneRecords: Boolean
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): JavaPairRDD[K, V] = {
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implicit val kcm: ClassTag[K] = ClassTag(keyClass)
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implicit val vcm: ClassTag[V] = ClassTag(valueClass)
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new JavaPairRDD(sc.hadoopFile(path,
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inputFormatClass, keyClass, valueClass, cloneRecords = cloneRecords))
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}
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/**
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* Get an RDD for a given Hadoop file with an arbitrary new API InputFormat
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* and extra configuration options to pass to the input format.
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@ -254,6 +335,22 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork
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new JavaPairRDD(sc.newAPIHadoopFile(path, fClass, kClass, vClass, conf))
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}
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/**
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* Get an RDD for a given Hadoop file with an arbitrary new API InputFormat
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* and extra configuration options to pass to the input format.
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*/
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def newAPIHadoopFile[K, V, F <: NewInputFormat[K, V]](
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path: String,
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fClass: Class[F],
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kClass: Class[K],
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vClass: Class[V],
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conf: Configuration,
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cloneRecords: Boolean): JavaPairRDD[K, V] = {
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implicit val kcm: ClassTag[K] = ClassTag(kClass)
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implicit val vcm: ClassTag[V] = ClassTag(vClass)
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new JavaPairRDD(sc.newAPIHadoopFile(path, fClass, kClass, vClass, conf, cloneRecords))
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}
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/**
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* Get an RDD for a given Hadoop file with an arbitrary new API InputFormat
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* and extra configuration options to pass to the input format.
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@ -268,6 +365,21 @@ class JavaSparkContext(val sc: SparkContext) extends JavaSparkContextVarargsWork
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new JavaPairRDD(sc.newAPIHadoopRDD(conf, fClass, kClass, vClass))
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}
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/**
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* Get an RDD for a given Hadoop file with an arbitrary new API InputFormat
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* and extra configuration options to pass to the input format.
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*/
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def newAPIHadoopRDD[K, V, F <: NewInputFormat[K, V]](
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conf: Configuration,
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fClass: Class[F],
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kClass: Class[K],
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vClass: Class[V],
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cloneRecords: Boolean): JavaPairRDD[K, V] = {
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implicit val kcm: ClassTag[K] = ClassTag(kClass)
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implicit val vcm: ClassTag[V] = ClassTag(vClass)
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new JavaPairRDD(sc.newAPIHadoopRDD(conf, fClass, kClass, vClass, cloneRecords))
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}
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/** Build the union of two or more RDDs. */
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override def union[T](first: JavaRDD[T], rest: java.util.List[JavaRDD[T]]): JavaRDD[T] = {
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val rdds: Seq[RDD[T]] = (Seq(first) ++ asScalaBuffer(rest)).map(_.rdd)
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