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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 scala.collection.mutable.ArrayBuffer
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.Attribute
import org.apache.spark.sql.catalyst.util.StringUtils
import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.NamespaceHelper
import org.apache.spark.sql.connector.catalog.SupportsNamespaces
import org.apache.spark.sql.execution.LeafExecNode
/**
* Physical plan node for showing namespaces.
*/
case class ShowNamespacesExec(
output: Seq[Attribute],
catalog: SupportsNamespaces,
namespace: Seq[String],
pattern: Option[String]) extends V2CommandExec with LeafExecNode {
override protected def run(): Seq[InternalRow] = {
val namespaces = if (namespace.nonEmpty) {
catalog.listNamespaces(namespace.toArray)
} else {
catalog.listNamespaces()
}
val rows = new ArrayBuffer[InternalRow]()
namespaces.map(_.quoted).map { ns =>
if (pattern.map(StringUtils.filterPattern(Seq(ns), _).nonEmpty).getOrElse(true)) {
rows += toCatalystRow(ns)
}
}
rows.toSeq
}
}