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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.paimon.spark

import org.apache.paimon.table.Table
import org.apache.paimon.table.source.{DataSplit, Split}

import org.apache.spark.sql.connector.read.{Batch, Scan}
import org.apache.spark.sql.types.StructType

/** For internal use only. */
case class PaimonSplitScan(table: Table, dataSplits: Array[DataSplit]) extends Scan {

  override def readSchema(): StructType = SparkTypeUtils.fromPaimonRowType(table.rowType())

  override def toBatch: Batch = {
    PaimonBatch(dataSplits.asInstanceOf[Array[Split]], table.newReadBuilder)
  }

}