/*
 * 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.streaming.continuous

import org.apache.spark.sql.catalyst.expressions.Attribute
import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, UnaryNode}
import org.apache.spark.sql.connector.metric.CustomMetric
import org.apache.spark.sql.connector.write.streaming.StreamingWrite

/**
 * The logical plan for writing data in a continuous stream.
 */
case class WriteToContinuousDataSource(write: StreamingWrite, query: LogicalPlan,
    customMetrics: Seq[CustomMetric])
  extends UnaryNode {
  override def child: LogicalPlan = query
  override def output: Seq[Attribute] = Nil
  override protected def withNewChildInternal(
    newChild: LogicalPlan): WriteToContinuousDataSource = copy(query = newChild)
}
