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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.spark.sql.execution.datasources.v2
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.Attribute
import org.apache.spark.sql.connector.catalog.TruncatableTable
/**
* Physical plan node for table truncation.
*/
case class TruncateTableExec(
table: TruncatableTable,
refreshCache: () => Unit) extends LeafV2CommandExec {
override def output: Seq[Attribute] = Seq.empty
override protected def run(): Seq[InternalRow] = {
if (table.truncateTable()) refreshCache()
Seq.empty
}
}