/*
 * 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.texera.amber.operator.flatmap

import org.apache.texera.amber.core.executor.OperatorExecutor
import org.apache.texera.amber.core.tuple.{Tuple, TupleLike}

/**
  * Executes a flatMap() operation.
  * This operation takes a single input Tuple, flattens it, applies a mapping function to each element,
  * and produces an output Tuple for each element.
  */
class FlatMapOpExec extends OperatorExecutor with Serializable {

  var flatMapFunc: Tuple => Iterator[TupleLike] = _

  def setFlatMapFunc(func: Tuple => Iterator[TupleLike]): Unit = flatMapFunc = func

  override def processTuple(tuple: Tuple, port: Int): Iterator[TupleLike] = flatMapFunc(tuple)

}
