/*
 * 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.spark.sql.execution.datasources.v2

import org.apache.spark.sql.connector.expressions.SortOrder
import org.apache.spark.sql.connector.expressions.aggregate.Aggregation
import org.apache.spark.sql.connector.expressions.filter.Predicate

/**
 * Pushed down operators
 */
case class PushedDownOperators(
    aggregation: Option[Aggregation],
    sample: Option[TableSampleInfo],
    limit: Option[Int],
    offset: Option[Int],
    sortValues: Seq[SortOrder],
    pushedPredicates: Seq[Predicate],
    joinedRelationPushedDownOperators: Seq[PushedDownOperators],
    // Relation name in case of leaf relation. For join nodes, this is empty.
    relationName: Option[String]) {
  assert((limit.isEmpty && sortValues.isEmpty) || limit.isDefined)
}
