Deprecated API

Contents

• Deprecated Methods

Deprecated Methods

Method and Description
org.apache.spark.api.java.StorageLevels.create(boolean, boolean, boolean, int)
org.apache.spark.api.java.JavaSparkContext.defaultMinSplits() As of Spark 1.0.0, defaultMinSplits is deprecated, use JavaSparkContext.defaultMinPartitions() instead
org.apache.spark.streaming.api.java.JavaDStreamLike.foreach(Function) As of release 0.9.0, replaced by foreachRDD
org.apache.spark.streaming.api.java.JavaDStreamLike.foreach(Function2) As of release 0.9.0, replaced by foreachRDD
org.apache.spark.mllib.util.MLUtils.loadLabeledData(SparkContext, String) Should use RDD.saveAsTextFile(java.lang.String) for saving and MLUtils.loadLabeledPoints(org.apache.spark.SparkContext, java.lang.String, int) for loading.
org.apache.spark.streaming.api.java.JavaDStreamLike.reduceByWindow(Function2, Duration, Duration) As this API is not Java compatible.
org.apache.spark.mllib.util.MLUtils.saveLabeledData(RDD, String) Should use RDD.saveAsTextFile(java.lang.String) for saving and MLUtils.loadLabeledPoints(org.apache.spark.SparkContext, java.lang.String, int) for loading.
org.apache.spark.mllib.optimization.LBFGS.setMaxNumIterations(int) use LBFGS.setNumIterations(int) instead
org.apache.spark.api.java.JavaRDDLike.toArray() As of Spark 1.0.0, toArray() is deprecated, use JavaRDDLike.collect() instead
org.apache.spark.mllib.rdd.RDDFunctions.treeAggregate(U, Function2, Function2, int, ClassTag) Use RDD.treeAggregate(U, scala.Function2<U, T, U>, scala.Function2<U, U, U>, int, scala.reflect.ClassTag<U>) instead.
org.apache.spark.mllib.rdd.RDDFunctions.treeReduce(Function2, int) Use RDD.treeReduce(scala.Function2<T, T, T>, int) instead.