/* * 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.nemo.compiler.frontend.spark.core; import org.apache.nemo.compiler.frontend.spark.SparkBroadcastVariables; import org.apache.nemo.compiler.frontend.spark.core.rdd.SparkJavaRDD; import org.apache.nemo.compiler.frontend.spark.core.rdd.RDD; import org.apache.spark.SparkConf; import org.apache.spark.broadcast.Broadcast; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import scala.collection.Seq; import scala.reflect.ClassTag; import java.util.List; /** * Spark context wrapper for in Nemo. */ public final class SparkContext extends org.apache.spark.SparkContext { private static final Logger LOG = LoggerFactory.getLogger(SparkContext.class.getName()); private final org.apache.spark.SparkContext sparkContext; /** * Constructor. */ public SparkContext() { this.sparkContext = org.apache.spark.SparkContext.getOrCreate(); } /** * Constructor with configuration. * * @param sparkConf spark configuration to wrap. */ public SparkContext(final SparkConf sparkConf) { super(sparkConf); this.sparkContext = org.apache.spark.SparkContext.getOrCreate(sparkConf); } /** * Initiate a SparkJavaRDD with the number of parallelism. * * @param seq input data as list. * @param numSlices number of slices (parallelism). * @param evidence type of the initial element. * @return the newly initiated SparkJavaRDD. */ @Override public <T> RDD<T> parallelize(final Seq<T> seq, final int numSlices, final ClassTag<T> evidence) { final List<T> javaList = scala.collection.JavaConversions.seqAsJavaList(seq); return SparkJavaRDD.of(this.sparkContext, javaList, numSlices).rdd(); } @Override public <T> Broadcast<T> broadcast(final T data, final ClassTag<T> evidence) { final long id = SparkBroadcastVariables.register(data); return new SparkBroadcast<>(id, (Class<T>) data.getClass()); } }