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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
}