/*
* 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.hadoop.hbase.spark
import java.util
import java.util.Comparator
import org.apache.hadoop.hbase.util.Bytes
import org.apache.spark.Partitioner
/**
* A Partitioner implementation that will separate records to different
* HBase Regions based on region splits
*
* @param startKeys The start keys for the given table
*/
class BulkLoadPartitioner(startKeys:Array[Array[Byte]])
extends Partitioner {
override def numPartitions: Int = startKeys.length
override def getPartition(key: Any): Int = {
val comparator: Comparator[Array[Byte]] = new Comparator[Array[Byte]] {
override def compare(o1: Array[Byte], o2: Array[Byte]): Int = {
Bytes.compareTo(o1, o2)
}
}
val rowKey:Array[Byte] =
key match {
case qualifier: KeyFamilyQualifier =>
qualifier.rowKey
case wrapper: ByteArrayWrapper =>
wrapper.value
case _ =>
key.asInstanceOf[Array[Byte]]
}
val partition = util.Arrays.binarySearch(startKeys, rowKey, comparator)
if (partition < 0) partition * -1 + -2
else partition
}
}
