spark ShowNamespacesExec 源码

2022-10-20
浏览 (123)

spark ShowNamespacesExec 代码

文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ShowNamespacesExec.scala

/*
 * 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()
    }

    // Please refer to the rule `KeepLegacyOutputs` for details about legacy command.
    // The legacy SHOW DATABASES command does not quote the database names.
    val isLegacy = output.head.name == "databaseName"
    val namespaceNames = if (isLegacy && namespaces.forall(_.length == 1)) {
      namespaces.map(_.head)
    } else {
      namespaces.map(_.quoted)
    }

    val rows = new ArrayBuffer[InternalRow]()
    namespaceNames.map { ns =>
      if (pattern.map(StringUtils.filterPattern(Seq(ns), _).nonEmpty).getOrElse(true)) {
        rows += toCatalystRow(ns)
      }
    }

    rows.toSeq
  }
}

相关信息

spark 源码目录

相关文章

spark AddPartitionExec 源码

spark AlterNamespaceSetPropertiesExec 源码

spark AlterTableExec 源码

spark BatchScanExec 源码

spark CacheTableExec 源码

spark ContinuousScanExec 源码

spark CreateIndexExec 源码

spark CreateNamespaceExec 源码

spark CreateTableExec 源码

spark DataSourceRDD 源码

0 赞

所属分类： 前端技术
本文标签：
版权声明： 原创文章如转载，请注明本文链接: https://www.seaxiang.com/blog/5e3e7b37df9241ca8a65b623ac10bbee

热门推荐

1、直接访问google.com
2、 - 优质文章
3、 gate.io
4、 harmony 鸿蒙hdc使用指导
5、 harmony 鸿蒙初识ArkTS语言
6、 flink kafka connector scan.startup.mode 的几个选项
7、 openharmony
8、 golang
9、 harmony 鸿蒙ArkUI组件（ArkTS）开发常见问题
10、 Vue中input框自动聚焦

Loading...