diff --git a/sql/hbase/src/main/java/org/apache/spark/sql/hbase/SparkImmutableBytesWritable.java b/sql/hbase/src/main/java/org/apache/spark/sql/hbase/SparkImmutableBytesWritable.java
new file mode 100644
index 0000000000000..59691e6f7fadf
--- /dev/null
+++ b/sql/hbase/src/main/java/org/apache/spark/sql/hbase/SparkImmutableBytesWritable.java
@@ -0,0 +1,259 @@
+/*
+ * 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.sql.hbase;
+
+import java.io.IOException;
+import java.io.DataInput;
+import java.io.DataOutput;
+import java.util.Arrays;
+import java.util.List;
+import scala.Serializable;
+
+import org.apache.hadoop.io.BytesWritable;
+import org.apache.hadoop.io.WritableComparable;
+import org.apache.hadoop.io.WritableComparator;
+
+/**
+ * copy from hbase for Serializable issue
+ */
+public class SparkImmutableBytesWritable
+        implements WritableComparable<SparkImmutableBytesWritable>, Serializable {
+    private byte[] bytes;
+    private int offset;
+    private int length;
+
+    /**
+     * Create a zero-size sequence.
+     */
+    public SparkImmutableBytesWritable() {
+        super();
+    }
+
+    /**
+     * Create a ImmutableBytesWritable using the byte array as the initial value.
+     * @param bytes This array becomes the backing storage for the object.
+     */
+    public SparkImmutableBytesWritable(byte[] bytes) {
+        this(bytes, 0, bytes.length);
+    }
+
+    /**
+     * Set the new ImmutableBytesWritable to the contents of the passed
+     * <code>ibw</code>.
+     * @param ibw the value to set this ImmutableBytesWritable to.
+     */
+    public SparkImmutableBytesWritable(final SparkImmutableBytesWritable ibw) {
+        this(ibw.get(), ibw.getOffset(), ibw.getLength());
+    }
+
+    /**
+     * Set the value to a given byte range
+     * @param bytes the new byte range to set to
+     * @param offset the offset in newData to start at
+     * @param length the number of bytes in the range
+     */
+    public SparkImmutableBytesWritable(final byte[] bytes, final int offset,
+                                  final int length) {
+        this.bytes = bytes;
+        this.offset = offset;
+        this.length = length;
+    }
+
+    /**
+     * Get the data from the BytesWritable.
+     * @return The data is only valid between offset and offset+length.
+     */
+    public byte [] get() {
+        if (this.bytes == null) {
+            throw new IllegalStateException("Uninitialiized. Null constructor " +
+                    "called w/o accompaying readFields invocation");
+        }
+        return this.bytes;
+    }
+
+    /**
+     * @param b Use passed bytes as backing array for this instance.
+     */
+    public void set(final byte [] b) {
+        set(b, 0, b.length);
+    }
+
+    /**
+     * @param b Use passed bytes as backing array for this instance.
+     * @param offset
+     * @param length
+     */
+    public void set(final byte [] b, final int offset, final int length) {
+        this.bytes = b;
+        this.offset = offset;
+        this.length = length;
+    }
+
+    /**
+     * @return the number of valid bytes in the buffer
+     * @deprecated use {@link #getLength()} instead
+     */
+    @Deprecated
+    public int getSize() {
+        if (this.bytes == null) {
+            throw new IllegalStateException("Uninitialiized. Null constructor " +
+                    "called w/o accompaying readFields invocation");
+        }
+        return this.length;
+    }
+
+    /**
+     * @return the number of valid bytes in the buffer
+     */
+    public int getLength() {
+        if (this.bytes == null) {
+            throw new IllegalStateException("Uninitialiized. Null constructor " +
+                    "called w/o accompaying readFields invocation");
+        }
+        return this.length;
+    }
+
+    /**
+     * @return offset
+     */
+    public int getOffset(){
+        return this.offset;
+    }
+
+    public void readFields(final DataInput in) throws IOException {
+        this.length = in.readInt();
+        this.bytes = new byte[this.length];
+        in.readFully(this.bytes, 0, this.length);
+        this.offset = 0;
+    }
+
+    public void write(final DataOutput out) throws IOException {
+        out.writeInt(this.length);
+        out.write(this.bytes, this.offset, this.length);
+    }
+
+    // Below methods copied from BytesWritable
+    @Override
+    public int hashCode() {
+        int hash = 1;
+        for (int i = offset; i < offset + length; i++)
+            hash = (31 * hash) + (int)bytes[i];
+        return hash;
+    }
+
+    /**
+     * Define the sort order of the BytesWritable.
+     * @param that The other bytes writable
+     * @return Positive if left is bigger than right, 0 if they are equal, and
+     *         negative if left is smaller than right.
+     */
+    public int compareTo(SparkImmutableBytesWritable that) {
+        return WritableComparator.compareBytes(
+                this.bytes, this.offset, this.length,
+                that.bytes, that.offset, that.length);
+    }
+
+    /**
+     * Compares the bytes in this object to the specified byte array
+     * @param that
+     * @return Positive if left is bigger than right, 0 if they are equal, and
+     *         negative if left is smaller than right.
+     */
+    public int compareTo(final byte [] that) {
+        return WritableComparator.compareBytes(
+                this.bytes, this.offset, this.length,
+                that, 0, that.length);
+    }
+
+    /**
+     * @see java.lang.Object#equals(java.lang.Object)
+     */
+    @Override
+    public boolean equals(Object right_obj) {
+        if (right_obj instanceof byte []) {
+            return compareTo((byte [])right_obj) == 0;
+        }
+        if (right_obj instanceof SparkImmutableBytesWritable) {
+            return compareTo((SparkImmutableBytesWritable)right_obj) == 0;
+        }
+        return false;
+    }
+
+    /**
+     * @see java.lang.Object#toString()
+     */
+    @Override
+    public String toString() {
+        StringBuilder sb = new StringBuilder(3*this.length);
+        final int endIdx = this.offset + this.length;
+        for (int idx = this.offset; idx < endIdx ; idx++) {
+            sb.append(' ');
+            String num = Integer.toHexString(0xff & this.bytes[idx]);
+            // if it is only one digit, add a leading 0.
+            if (num.length() < 2) {
+                sb.append('0');
+            }
+            sb.append(num);
+        }
+        return sb.length() > 0 ? sb.substring(1) : "";
+    }
+
+    /** A Comparator optimized for ImmutableBytesWritable.
+     */
+    public static class Comparator extends WritableComparator {
+        private BytesWritable.Comparator comparator =
+                new BytesWritable.Comparator();
+
+        /** constructor */
+        public Comparator() {
+            super(SparkImmutableBytesWritable.class);
+        }
+
+        /**
+         * @see org.apache.hadoop.io.WritableComparator#compare(byte[], int, int, byte[], int, int)
+         */
+        @Override
+        public int compare(byte[] b1, int s1, int l1, byte[] b2, int s2, int l2) {
+            return comparator.compare(b1, s1, l1, b2, s2, l2);
+        }
+    }
+
+    static { // register this comparator
+        WritableComparator.define(SparkImmutableBytesWritable.class, new Comparator());
+    }
+
+    /**
+     * @param array List of byte [].
+     * @return Array of byte [].
+     */
+    public static byte [][] toArray(final List<byte []> array) {
+        // List#toArray doesn't work on lists of byte [].
+        byte[][] results = new byte[array.size()][];
+        for (int i = 0; i < array.size(); i++) {
+            results[i] = array.get(i);
+        }
+        return results;
+    }
+
+    /**
+     * Returns a copy of the bytes referred to by this writable
+     */
+    public byte[] copyBytes() {
+        return Arrays.copyOfRange(bytes, offset, offset+length);
+    }
+}
diff --git a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBasePartitioner.scala b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBasePartitioner.scala
new file mode 100644
index 0000000000000..1a92f321000a2
--- /dev/null
+++ b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBasePartitioner.scala
@@ -0,0 +1,129 @@
+/*
+ * 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.sql.hbase
+
+import java.io.{ObjectInputStream, ObjectOutputStream, IOException}
+import scala.Array
+import scala.collection.mutable.ArrayBuffer
+import scala.reflect.ClassTag
+
+import org.apache.spark.rdd.RDD
+import org.apache.spark.SparkEnv
+import org.apache.spark.Partitioner
+import org.apache.spark.util.{Utils, CollectionsUtils}
+import org.apache.spark.serializer.JavaSerializer
+import org.apache.hadoop.hbase.client.HTable
+
+class HBasePartitioner [K : Ordering : ClassTag, V](
+    @transient rdd: RDD[_ <: Product2[K,V]])(splitKeys: Array[K])
+  extends Partitioner {
+
+  private var ordering = implicitly[Ordering[K]]
+
+  private var rangeBounds: Array[K] = splitKeys
+
+  def numPartitions = rangeBounds.length + 1
+
+  private var binarySearch: ((Array[K], K) => Int) = CollectionsUtils.makeBinarySearch[K]
+
+  // todo: test this
+  def getPartition(key: Any): Int = {
+    val k = key.asInstanceOf[K]
+    var partition = 0
+    if (rangeBounds.length <= 128) {
+      // If we have less than 128 partitions naive search
+      while (partition < rangeBounds.length && ordering.gt(k, rangeBounds(partition))) {
+        partition += 1
+      }
+    } else {
+      // Determine which binary search method to use only once.
+      partition = binarySearch(rangeBounds, k)
+      // binarySearch either returns the match location or -[insertion point]-1
+      if (partition < 0) {
+        partition = -partition-1
+      }
+      if (partition > rangeBounds.length) {
+        partition = rangeBounds.length
+      }
+    }
+    partition
+  }
+
+  override def equals(other: Any): Boolean = other match {
+    case r: HBasePartitioner[_,_] =>
+      r.rangeBounds.sameElements(rangeBounds)
+    case _ =>
+      false
+  }
+
+  override def hashCode(): Int = {
+    val prime = 31
+    var result = 1
+    var i = 0
+    while (i < rangeBounds.length) {
+      result = prime * result + rangeBounds(i).hashCode
+      i += 1
+    }
+    result = prime * result
+    result
+  }
+
+  @throws(classOf[IOException])
+  private def writeObject(out: ObjectOutputStream) {
+    val sfactory = SparkEnv.get.serializer
+    sfactory match {
+      case js: JavaSerializer => out.defaultWriteObject()
+      case _ =>
+        out.writeObject(ordering)
+        out.writeObject(binarySearch)
+
+        val ser = sfactory.newInstance()
+        Utils.serializeViaNestedStream(out, ser) { stream =>
+          stream.writeObject(scala.reflect.classTag[Array[K]])
+          stream.writeObject(rangeBounds)
+        }
+    }
+  }
+
+  @throws(classOf[IOException])
+  private def readObject(in: ObjectInputStream) {
+    val sfactory = SparkEnv.get.serializer
+    sfactory match {
+      case js: JavaSerializer => in.defaultReadObject()
+      case _ =>
+        ordering = in.readObject().asInstanceOf[Ordering[K]]
+        binarySearch = in.readObject().asInstanceOf[(Array[K], K) => Int]
+
+        val ser = sfactory.newInstance()
+        Utils.deserializeViaNestedStream(in, ser) { ds =>
+          implicit val classTag = ds.readObject[ClassTag[Array[K]]]()
+          rangeBounds = ds.readObject[Array[K]]()
+        }
+    }
+  }
+}
+
+//Todo： test this
+object HBasePartitioner {
+  implicit def orderingRowKey[SparkImmutableBytesWritable]: Ordering[SparkImmutableBytesWritable] =
+    OrderingRowKey.asInstanceOf[Ordering[SparkImmutableBytesWritable]]
+}
+
+object OrderingRowKey extends Ordering[SparkImmutableBytesWritable] {
+  def compare(a: SparkImmutableBytesWritable, b: SparkImmutableBytesWritable) = a.compareTo(b)
+}
\ No newline at end of file
diff --git a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseRelation.scala b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseRelation.scala
index 065befbeb7971..a7e7a8ed413b8 100755
--- a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseRelation.scala
+++ b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseRelation.scala
@@ -32,6 +32,7 @@ import org.apache.spark.sql.catalyst.types._
 import scala.collection.JavaConverters._
 import scala.collection.mutable.ArrayBuffer
 
+
 private[hbase] case class HBaseRelation( tableName: String,
                                          hbaseNamespace: String,
                                          hbaseTableName: String,
@@ -57,7 +58,6 @@ private[hbase] case class HBaseRelation( tableName: String,
   private def getConf: Configuration = if (configuration == null) HBaseConfiguration.create
                                else configuration
 
-
   lazy val attributes = nonKeyColumns.map(col =>
     AttributeReference(col.sqlName, col.dataType, nullable = true)())
 
@@ -87,6 +87,20 @@ private[hbase] case class HBaseRelation( tableName: String,
     Option(partitions)
   }
 
+
+  /**
+   * Return the start keys of all of the regions in this table,
+   * as a list of SparkImmutableBytesWritable.
+   */
+  def getRegionStartKeys() = {
+    val byteKeys: Array[Array[Byte]] = htable.getStartKeys
+    val ret = ArrayBuffer[SparkImmutableBytesWritable]()
+    for (byteKey <- byteKeys) {
+      ret += new SparkImmutableBytesWritable(byteKey)
+    }
+    ret
+  }
+
   def buildFilter(projList: Seq[NamedExpression],
                   rowKeyPredicate: Option[Expression],
                   valuePredicate: Option[Expression]) = {
diff --git a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseSQLParser.scala b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseSQLParser.scala
index 23ae0970e20b3..4f04eb9854086 100644
--- a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseSQLParser.scala
+++ b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseSQLParser.scala
@@ -20,9 +20,15 @@ import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.{SqlLexical, SqlParser}
 import org.apache.spark.sql.catalyst.SparkSQLParser
-import org.apache.spark.sql.hbase.logical.{DropTablePlan, CreateHBaseTablePlan}
+import org.apache.spark.sql.hbase.logical.{LoadDataIntoTable, CreateHBaseTablePlan, DropTablePlan}
 
 class HBaseSQLParser extends SqlParser {
+
+  protected val DATA = Keyword("DATA")
+  protected val LOAD = Keyword("LOAD")
+  protected val LOCAL = Keyword("LOCAL")
+  protected val INPATH = Keyword("INPATH")
+
   protected val BULK = Keyword("BULK")
   protected val CREATE = Keyword("CREATE")
   protected val DROP = Keyword("DROP")
@@ -55,7 +61,7 @@ class HBaseSQLParser extends SqlParser {
         | EXCEPT ^^^ { (q1: LogicalPlan, q2: LogicalPlan) => Except(q1, q2)}
         | UNION ~ DISTINCT.? ^^^ { (q1: LogicalPlan, q2: LogicalPlan) => Distinct(Union(q1, q2))}
         )
-      | insert | create | drop | alter
+      | insert | create | drop | alter | load
       )
 
   override protected lazy val insert: Parser[LogicalPlan] =
@@ -137,6 +143,18 @@ class HBaseSQLParser extends SqlParser {
       case tn ~ op ~ tc ~ cf => null
     }
 
+  protected lazy val load: Parser[LogicalPlan] =
+  (
+    (LOAD ~> DATA ~> INPATH ~> stringLit) ~
+    (opt(OVERWRITE) ~> INTO ~> TABLE ~> relation) ^^ {
+      case filePath ~ table => LoadDataIntoTable(filePath, table, false)
+    }
+  | (LOAD ~> DATA ~> LOCAL ~> INPATH ~> stringLit) ~
+      (opt(OVERWRITE) ~> INTO ~> TABLE ~> relation) ^^ {
+      case filePath ~ table => LoadDataIntoTable(filePath, table, true)
+    }
+  )
+
   protected lazy val tableCol: Parser[(String, String)] =
     ident ~ (STRING | BYTE | SHORT | INTEGER | LONG | FLOAT | DOUBLE | BOOLEAN) ^^ {
       case e1 ~ e2 => (e1, e2)
diff --git a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseStrategies.scala b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseStrategies.scala
index a564674861fce..af3d8ad95dc7c 100755
--- a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseStrategies.scala
+++ b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HBaseStrategies.scala
@@ -22,7 +22,7 @@ import org.apache.spark.sql.catalyst.planning.{PhysicalOperation, QueryPlanner}
 import org.apache.spark.sql.catalyst.plans.logical.{InsertIntoTable, LogicalPlan}
 import org.apache.spark.sql.execution._
 import org.apache.spark.sql.SQLContext
-import org.apache.spark.sql.hbase.execution._
+import org.apache.spark.sql.hbase.execution.{DropHbaseTableCommand, HBaseSQLTableScan, InsertIntoHBaseTable}
 
 /**
  * HBaseStrategies
@@ -91,10 +91,12 @@ private[hbase] trait HBaseStrategies extends QueryPlanner[SparkPlan] {
       case logical.CreateHBaseTablePlan(
       tableName, nameSpace, hbaseTableName,
       colsSeq, keyCols, nonKeyCols) =>
-        Seq(CreateHBaseTableCommand(
+        Seq(execution.CreateHBaseTableCommand(
           tableName, nameSpace, hbaseTableName,
           colsSeq, keyCols, nonKeyCols)
           (hbaseSQLContext))
+      case logical.LoadDataIntoTable(path, table: HBaseRelation, isLocal) =>
+        execution.BulkLoadIntoTable(path, table, isLocal)(hbaseSQLContext) :: Nil
       case InsertIntoTable(table: HBaseRelation, partition, child, _) =>
         new InsertIntoHBaseTable(table, planLater(child))(hbaseSQLContext) :: Nil
       case logical.DropTablePlan(tableName) =>
diff --git a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HadoopReader.scala b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HadoopReader.scala
new file mode 100644
index 0000000000000..efaa301d98caf
--- /dev/null
+++ b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/HadoopReader.scala
@@ -0,0 +1,80 @@
+/*
+ * 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.sql.hbase
+
+import org.apache.hadoop.mapred.JobConf
+import org.apache.spark.rdd.HadoopRDD
+import org.apache.spark.broadcast.Broadcast
+import org.apache.spark.{SparkContext, SerializableWritable}
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.io.{LongWritable, Text}
+import org.apache.hadoop.mapred.TextInputFormat
+import org.apache.hadoop.hbase.util.Bytes
+import org.apache.hadoop.hbase.client.Put
+import org.apache.hadoop.hbase.io.ImmutableBytesWritable
+import org.apache.hadoop.hbase.KeyValue
+
+/**
+ * Helper class for scanning files stored in Hadoop - e.g., to read text file when bulk loading.
+ */
+private[hbase]
+class HadoopReader(
+    @transient sc: SparkContext,
+    @transient jobConf: JobConf) {
+
+  private val broadcastedHiveConf =
+    sc.broadcast(new SerializableWritable(jobConf))
+
+  private val minSplitsPerRDD =
+    sc.getConf.get("spark.sql.hbase.minPartitions", sc.defaultMinPartitions.toString).toInt
+
+  private val splitRegex = sc.getConf.get("spark.sql.hbase.splitRegex", ",")
+
+  val inputFormatClass = classOf[TextInputFormat]
+
+  val rowKeyIds = "0,1,2"
+
+  def makeBulkLoadRDD = {
+    val rdd = new HadoopRDD(
+      sc,
+      broadcastedHiveConf.asInstanceOf[Broadcast[SerializableWritable[Configuration]]],
+      None,
+      inputFormatClass,
+      classOf[LongWritable],
+      classOf[Text],
+      minSplitsPerRDD)
+
+    // Todo: use mapPartitions more better, now just simply code
+    // Only take the value (skip the key) because Hbase works only with values.
+    rdd.map { value =>
+    // Todo: needs info which field is rowkey and value from HbaseRelation here
+      val fields = value._2.toString.split(splitRegex)
+      val rowKey = Bytes.toBytes(fields(0))
+      val rowKeyWritable = new SparkImmutableBytesWritable(rowKey)
+      val family = Bytes.toBytes("cf")
+      val qualifier = Bytes.toBytes("count")
+      val hbaseValue = Bytes.toBytes(fields(1))
+//      val keyValue = new KeyValue(rowKey, family, qualifier, hbaseValue)
+      // we should use Put?, which is better? keyvalue is for one column in column family, right?
+      val put = new Put(rowKey)
+      put.add(family, qualifier, hbaseValue)
+      (rowKeyWritable, put)
+    }
+  }
+
+}
\ No newline at end of file
diff --git a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/execution/HBaseOperators.scala b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/execution/HBaseOperators.scala
index 6473d6e0c5619..7d2ccfec18903 100755
--- a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/execution/HBaseOperators.scala
+++ b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/execution/HBaseOperators.scala
@@ -16,12 +16,26 @@
  */
 
 package org.apache.spark.sql.hbase.execution
+import java.util.Date
+import java.text.SimpleDateFormat
+
+import org.apache.hadoop.mapreduce.Job
+import org.apache.hadoop.hbase.mapreduce.HFileOutputFormat
+import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat
+import org.apache.hadoop.fs.Path
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.hbase.{CompatibilitySingletonFactory, HadoopShims}
 
 import org.apache.spark.annotation.DeveloperApi
-import org.apache.spark.rdd.RDD
+import org.apache.spark.rdd.{ShuffledRDD, RDD}
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.execution.{LeafNode, UnaryNode, SparkPlan}
-import org.apache.spark.sql.hbase.{HBaseSQLReaderRDD, HBaseSQLContext, HBaseRelation}
+import org.apache.spark.SparkContext._
+import org.apache.hadoop.mapred.{Reporter, JobConf}
+import org.apache.hadoop.hbase.client.Put
+import org.apache.spark.SerializableWritable
+import org.apache.spark.sql.hbase._
+import org.apache.spark.sql.hbase.HBaseRelation
 
 /**
  * :: DeveloperApi ::
@@ -67,3 +81,65 @@ case class InsertIntoHBaseTable(
 
   override def output = child.output
 }
+
+@DeveloperApi
+case class BulkLoadIntoTable(path: String, relation: HBaseRelation, isLocal: Boolean)(
+  @transient hbContext: HBaseSQLContext) extends LeafNode {
+
+  val jobConf = new JobConf(hbContext.sc.hadoopConfiguration)
+
+  val hadoopReader = new HadoopReader(hbContext.sparkContext, jobConf)
+
+  // atmp path for storing HFile
+  val tmpPath = "/bulkload/test"
+
+  override def execute() = {
+    val ordering = HBasePartitioner.orderingRowKey
+      .asInstanceOf[Ordering[SparkImmutableBytesWritable]]
+    val splitKeys = relation.getRegionStartKeys()
+    val rdd = hadoopReader.makeBulkLoadRDD
+    val partitioner = new HBasePartitioner(rdd)(splitKeys.toArray)
+    val shuffled =
+      new ShuffledRDD[SparkImmutableBytesWritable, Put, Put](rdd, partitioner).setKeyOrdering(ordering)
+
+    jobConf.setOutputKeyClass(classOf[SparkImmutableBytesWritable])
+    jobConf.setOutputValueClass(classOf[Put])
+    jobConf.set("mapred.output.format.class", classOf[HFileOutputFormat].getName)
+    jobConf.set("mapred.output.dir", tmpPath)
+    shuffled.saveAsHadoopDataset(jobConf)
+
+    null
+  }
+
+  def saveAsHFile(
+      rdd: RDD[(SparkImmutableBytesWritable, Put)],
+      jobConf: SerializableWritable[JobConf],
+      path: String) {
+    val conf = jobConf.value
+    val job = new Job(conf)
+    job.setOutputKeyClass(classOf[SparkImmutableBytesWritable])
+    job.setOutputValueClass(classOf[Put])
+    job.setOutputFormatClass(classOf[HFileOutputFormat])
+    FileOutputFormat.setOutputPath(job, new Path(path))
+
+    val wrappedConf = new SerializableWritable(job.getConfiguration)
+    val formatter = new SimpleDateFormat("yyyyMMddHHmm")
+    val jobtrackerID = formatter.format(new Date())
+    val stageId = sqlContext.sparkContext.newRddId()
+
+
+    def getWriter(
+        outFormat: HFileOutputFormat,
+        conf: Configuration,
+        path: Path,
+        reporter: Reporter) = {
+      val hadoopShim = CompatibilitySingletonFactory.getInstance(classOf[HadoopShims])
+      val context = hadoopShim.createTestTaskAttemptContext(job, "attempt_200707121733_0001_m_000000_0")
+      outFormat.getRecordWriter(context)
+    }
+    ???
+  }
+
+  override def output = Nil
+
+}
diff --git a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/logical/HBaseLogicalPlans.scala b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/logical/hbaseOperators.scala
similarity index 72%
rename from sql/hbase/src/main/scala/org/apache/spark/sql/hbase/logical/HBaseLogicalPlans.scala
rename to sql/hbase/src/main/scala/org/apache/spark/sql/hbase/logical/hbaseOperators.scala
index 7befe2d9d9d17..3bc6b9a72890b 100644
--- a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/logical/HBaseLogicalPlans.scala
+++ b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/logical/hbaseOperators.scala
@@ -16,7 +16,7 @@
  */
 package org.apache.spark.sql.hbase.logical
 
-import org.apache.spark.sql.catalyst.plans.logical.Command
+import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, UnaryNode, Command}
 
 case class CreateHBaseTablePlan(tableName: String,
                                 nameSpace: String,
@@ -27,3 +27,18 @@ case class CreateHBaseTablePlan(tableName: String,
                                  ) extends Command
 
 case class DropTablePlan(tableName: String) extends Command
+
+/**
+ * Logical plan for Bulkload
+ * @param path input data file path
+ * @param child target relation
+ * @param isLocal using HDFS or local file
+ */
+case class LoadDataIntoTable(path: String,
+                             child: LogicalPlan,
+                             isLocal: Boolean) extends UnaryNode {
+
+  override def output = Nil
+
+  override def toString = s"LogicalPlan: LoadDataIntoTable(LOAD $path INTO $child)"
+}
diff --git a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/package.scala b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/package.scala
index 303723888dd5c..35bdd071dbd6e 100755
--- a/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/package.scala
+++ b/sql/hbase/src/main/scala/org/apache/spark/sql/hbase/package.scala
@@ -16,6 +16,8 @@
  */
 package org.apache.spark.sql
 
+import org.apache.hadoop.hbase.io.ImmutableBytesWritable
+
 package object hbase {
   type HBaseRawType = Array[Byte]
 }
diff --git a/sql/hbase/src/test/scala/org/apache/spark/sql/hbase/BulkLoadIntoTableSuite.scala b/sql/hbase/src/test/scala/org/apache/spark/sql/hbase/BulkLoadIntoTableSuite.scala
new file mode 100644
index 0000000000000..d2e3e43d43ea3
--- /dev/null
+++ b/sql/hbase/src/test/scala/org/apache/spark/sql/hbase/BulkLoadIntoTableSuite.scala
@@ -0,0 +1,54 @@
+/*
+ * 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.sql.hbase
+
+import org.scalatest.FunSuite
+import org.apache.hadoop.hbase.client.Put
+import org.apache.hadoop.hbase.mapreduce.HFileOutputFormat
+import org.apache.hadoop.mapred.JobConf
+import org.apache.hadoop.hbase.util.Bytes
+import org.apache.spark.{SparkContext, Logging, LocalSparkContext}
+import org.apache.spark.rdd.ShuffledRDD
+import org.apache.spark.SparkContext._
+
+class BulkLoadIntoTableSuite extends FunSuite with LocalSparkContext with Logging{
+
+  test("write data to HFile") {
+    sc = new SparkContext("local", "test")
+    val jobConf = new JobConf(sc.hadoopConfiguration)
+    val hadoopReader = new HadoopReader(sc, jobConf)
+    // atmp path for storing HFile
+    val tmpPath = "/bulkload/test"
+    val ordering = HBasePartitioner.orderingRowKey
+      .asInstanceOf[Ordering[SparkImmutableBytesWritable]]
+    val splitKeys = (1 to 40).filter(_ % 5 == 0).filter(_ != 40).map { r =>
+      new SparkImmutableBytesWritable(Bytes.toBytes(r))
+    }
+    val rdd = hadoopReader.makeBulkLoadRDD
+    val partitioner = new HBasePartitioner(rdd)(splitKeys.toArray)
+    val shuffled =
+      new ShuffledRDD[SparkImmutableBytesWritable, Put, Put](rdd, partitioner).setKeyOrdering(ordering)
+
+    jobConf.setOutputKeyClass(classOf[SparkImmutableBytesWritable])
+    jobConf.setOutputValueClass(classOf[Put])
+    jobConf.set("mapred.output.format.class", classOf[HFileOutputFormat].getName)
+    jobConf.set("mapred.output.dir", tmpPath)
+    shuffled.saveAsHadoopDataset(jobConf)
+  }
+
+}
diff --git a/sql/hbase/src/test/scala/org/apache/spark/sql/hbase/HBaseBulkloadParserTest.scala b/sql/hbase/src/test/scala/org/apache/spark/sql/hbase/HBaseBulkloadParserTest.scala
new file mode 100644
index 0000000000000..19e0cf17190ae
--- /dev/null
+++ b/sql/hbase/src/test/scala/org/apache/spark/sql/hbase/HBaseBulkloadParserTest.scala
@@ -0,0 +1,68 @@
+/*
+ * 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.sql.hbase
+
+import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+import org.apache.spark.sql.hbase.logical.LoadDataIntoTable
+import org.scalatest.{FunSuite, Matchers}
+
+/**
+ * Test Suite for HBase bulkload feature
+ */
+class HBaseBulkloadParserTest extends FunSuite with Matchers {
+
+  // Test if we can parse 'LOAD DATA LOCAL INPATH './usr/file.csv' INTO TABLE tb'
+  test("bulkload parser test, local file") {
+
+    val parser = new HBaseSQLParser()
+    val sql = raw"LOAD DATA LOCAL INPATH './usr/file.csv' INTO TABLE tb"
+    //val sql = "select"
+
+    val plan: LogicalPlan = parser(sql)
+    assert(plan != null)
+    assert(plan.isInstanceOf[LoadDataIntoTable])
+
+    val l = plan.asInstanceOf[LoadDataIntoTable]
+    assert(l.path.equals(raw"./usr/file.csv"))
+    assert(l.isLocal)
+
+    assert(plan.children(0).isInstanceOf[UnresolvedRelation])
+    val r = plan.children(0).asInstanceOf[UnresolvedRelation]
+    assert(r.tableName.equals("tb"))
+  }
+
+  // Test if we can parse 'LOAD DATA INPATH '/usr/hdfsfile.csv' INTO TABLE tb'
+  test("bulkload parser test, load hdfs file") {
+
+    val parser = new HBaseSQLParser()
+    val sql = raw"LOAD DATA INPATH '/usr/hdfsfile.csv' INTO TABLE tb"
+    //val sql = "select"
+
+    val plan: LogicalPlan = parser(sql)
+    assert(plan != null)
+    assert(plan.isInstanceOf[LoadDataIntoTable])
+
+    val l = plan.asInstanceOf[LoadDataIntoTable]
+    assert(l.path.equals(raw"/usr/hdfsfile.csv"))
+    assert(!l.isLocal)
+    assert(plan.children(0).isInstanceOf[UnresolvedRelation])
+    val r = plan.children(0).asInstanceOf[UnresolvedRelation]
+    assert(r.tableName.equals("tb"))
+  }
+}
diff --git a/sql/hbase/src/test/scala/org/apache/spark/sql/hbase/HBasePartitionerSuite.scala b/sql/hbase/src/test/scala/org/apache/spark/sql/hbase/HBasePartitionerSuite.scala
new file mode 100644
index 0000000000000..19dba15920dff
--- /dev/null
+++ b/sql/hbase/src/test/scala/org/apache/spark/sql/hbase/HBasePartitionerSuite.scala
@@ -0,0 +1,54 @@
+/*
+ * 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.sql.hbase
+
+import org.scalatest.FunSuite
+import org.apache.spark.{SparkConf, LocalSparkContext, SparkContext, Logging}
+import org.apache.hadoop.hbase.util.Bytes
+import org.apache.spark.rdd.ShuffledRDD
+class HBasePartitionerSuite extends FunSuite with LocalSparkContext with Logging {
+
+  val conf = new SparkConf(loadDefaults = false)
+
+  test("test hbase partitioner") {
+    sc = new SparkContext("local", "test")
+    val data = (1 to 40).map { r =>
+      val rowKey = Bytes.toBytes(r)
+      val rowKeyWritable = new SparkImmutableBytesWritable(rowKey)
+      (rowKeyWritable, r)
+    }
+    val rdd = sc.parallelize(data, 4)
+    val splitKeys = (1 to 40).filter(_ % 5 == 0).filter(_ != 40).map { r =>
+      new SparkImmutableBytesWritable(Bytes.toBytes(r))
+    }
+    val partitioner = new HBasePartitioner(rdd)(splitKeys.toArray)
+    val ordering = HBasePartitioner.orderingRowKey
+      .asInstanceOf[Ordering[SparkImmutableBytesWritable]]
+    val shuffled =
+      new ShuffledRDD[SparkImmutableBytesWritable, Int, Int](rdd, partitioner).setKeyOrdering(ordering)
+
+    val groups = shuffled.mapPartitionsWithIndex { (idx, iter) =>
+      iter.map(x => (x._2, idx))
+    }.collect()
+    assert(groups.size == 40)
+    assert(groups.map(_._2).toSet.size == 8)
+    groups.foreach { r =>
+      assert(r._1 > 5 * r._2 && r._1 <= 5 * (1 + r._2))
+    }
+  }
+}