spark/hbase-spark/src/main/scala/org/apache/hadoop/hbase/spark/NewHBaseRDD.scala

/*
 * 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
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package org.apache.hadoop.hbase.spark

import org.apache.hadoop.conf.Configuration
import org.apache.yetus.audience.InterfaceAudience;
import org.apache.hadoop.mapreduce.InputFormat
import org.apache.spark.rdd.NewHadoopRDD
import org.apache.spark.{InterruptibleIterator, Partition, SparkContext, TaskContext}

@InterfaceAudience.Public
class NewHBaseRDD[K,V](@transient val sc : SparkContext,
                       @transient val inputFormatClass: Class[_ <: InputFormat[K, V]],
                       @transient val keyClass: Class[K],
                       @transient val valueClass: Class[V],
                       @transient private val __conf: Configuration,
                       val hBaseContext: HBaseContext) extends NewHadoopRDD(sc, inputFormatClass, keyClass, valueClass, __conf) {

  override def compute(theSplit: Partition, context: TaskContext): InterruptibleIterator[(K, V)] = {
    hBaseContext.applyCreds()
    super.compute(theSplit, context)
  }
}