/*
 * 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.JavaRDD;
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 JavaRDD 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 JavaRDD.
   */
  @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 JavaRDD.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());
  }
}