Github user tdas commented on a diff in the pull request:

    https://github.com/apache/spark/pull/1608#discussion_r15563085
  
    --- Diff: 
external/hbase/src/main/scala/org/apache/spark/hbase/HBaseContext.scala ---
    @@ -0,0 +1,538 @@
    +/*
    + * 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.spark.hbase
    +
    +import org.apache.hadoop.hbase.HBaseConfiguration
    +import org.apache.spark.rdd.RDD
    +import java.io.ByteArrayOutputStream
    +import java.io.DataOutputStream
    +import java.io.ByteArrayInputStream
    +import java.io.DataInputStream
    +import org.apache.hadoop.conf.Configuration
    +import org.apache.hadoop.hbase.client.HConnectionManager
    +import org.apache.spark.api.java.JavaPairRDD
    +import java.io.OutputStream
    +import org.apache.hadoop.hbase.client.HTable
    +import org.apache.hadoop.hbase.client.Scan
    +import org.apache.hadoop.hbase.client.Get
    +import java.util.ArrayList
    +import org.apache.hadoop.hbase.client.Result
    +import scala.reflect.ClassTag
    +import org.apache.hadoop.hbase.client.HConnection
    +import org.apache.hadoop.hbase.client.Put
    +import org.apache.hadoop.hbase.client.Increment
    +import org.apache.hadoop.hbase.client.Delete
    +import org.apache.spark.SparkContext
    +import org.apache.hadoop.hbase.mapreduce.TableInputFormat
    +import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil
    +import org.apache.hadoop.hbase.io.ImmutableBytesWritable
    +import org.apache.hadoop.hbase.util.Bytes
    +import org.apache.hadoop.mapreduce.Job
    +import org.apache.hadoop.hbase.mapreduce.TableMapper
    +import org.apache.hadoop.hbase.mapreduce.IdentityTableMapper
    +import org.apache.hadoop.hbase.util.Base64
    +import org.apache.spark.rdd.HadoopRDD
    +import org.apache.spark.broadcast.Broadcast
    +import org.apache.spark.SerializableWritable
    +import java.util.HashMap
    +import java.util.concurrent.atomic.AtomicInteger
    +import org.apache.hadoop.hbase.HConstants
    +import java.util.concurrent.atomic.AtomicLong
    +import java.util.Timer
    +import java.util.TimerTask
    +import org.apache.hadoop.hbase.client.Mutation
    +import scala.collection.mutable.MutableList
    +import org.apache.spark.streaming.dstream.DStream
    +
    +/**
    + * HBaseContext is a façade of simple and complex HBase operations
    + * like bulk put, get, increment, delete, and scan
    + *
    + * HBase Context will take the responsibilities to happen to
    + * complexity of disseminating the configuration information
    + * to the working and managing the life cycle of HConnections.
    + *
    + * First constructor:
    + *  @param sc              Active SparkContext
    + *  @param broadcastedConf This is a Broadcast object that holds a
    + * serializable Configuration object
    + *
    + */
    +@serializable class HBaseContext(@transient sc: SparkContext,
    +  broadcastedConf: Broadcast[SerializableWritable[Configuration]]) {
    +
    +  /**
    +   * Second constructor option:
    +   *  @param sc     Active SparkContext
    +   *  @param config Configuration object to make connection to HBase
    +   */
    +  def this(@transient sc: SparkContext, @transient config: Configuration) {
    +    this(sc, sc.broadcast(new SerializableWritable(config)))
    +  }
    +
    +  /**
    +   * A simple enrichment of the traditional Spark RDD foreachPartition.
    --- End diff --
    
    Please take a look at other the scala docs of RDD transformation to 
understand the style. For example, a better way to explain this method would be 
to do the following. 
    `Applies a function on each partition of the given RDD using a HBase 
connection`.



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