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/*
 * 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 org.apache.hadoop.hbase.util.Bytes

import scala.math.Ordering

// TODO: add @InterfaceAudience.Private if https://issues.scala-lang.org/browse/SI-3600 is resolved
package object hbase {
  type HBaseType = Array[Byte]
  def bytesMin = new Array[Byte](0)
  def bytesMax = null
  val ByteMax = -1.asInstanceOf[Byte]
  val ByteMin = 0.asInstanceOf[Byte]
  val ord: Ordering[HBaseType] = new Ordering[HBaseType] {
    def compare(x: Array[Byte], y: Array[Byte]): Int = {
      return Bytes.compareTo(x, y)
    }
  }
  //Do not use BinaryType.ordering
  implicit val order: Ordering[HBaseType] = ord

}