/*
 * 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
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package org.apache.spark.sql.comet.execution.shuffle

import org.apache.spark.scheduler.MapStatus
import org.apache.spark.storage.BlockManagerId

// Spark 4.1 added a `checksumVal` parameter (with a default of 0) to MapStatus.apply.
// Java callers can't use Scala default parameters, so we wrap the call here. The Scala
// compiler fills in the default per Spark version.
object MapStatusHelper {
  def apply(loc: BlockManagerId, uncompressedSizes: Array[Long], mapTaskId: Long): MapStatus =
    MapStatus(loc, uncompressedSizes, mapTaskId)
}
