spark CommandResult 源码
spark CommandResult 代码
文件路径:/sql/core/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/CommandResult.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.catalyst.plans.logical
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.Attribute
import org.apache.spark.sql.catalyst.plans.QueryPlan
import org.apache.spark.sql.catalyst.plans.logical.statsEstimation.EstimationUtils
import org.apache.spark.sql.execution.SparkPlan
/**
* Logical plan node for holding data from a command.
*
* `commandLogicalPlan` and `commandPhysicalPlan` are just used to display the plan tree
* for EXPLAIN.
* `rows` may not be serializable and ideally we should not send `rows` to the executors.
* Thus marking them as transient.
*/
case class CommandResult(
output: Seq[Attribute],
@transient commandLogicalPlan: LogicalPlan,
@transient commandPhysicalPlan: SparkPlan,
@transient rows: Seq[InternalRow]) extends LeafNode {
override def innerChildren: Seq[QueryPlan[_]] = Seq(commandLogicalPlan)
override def computeStats(): Statistics =
Statistics(sizeInBytes = EstimationUtils.getSizePerRow(output) * rows.length)
}
相关信息
相关文章
0
赞
- 所属分类: 前端技术
- 本文标签:
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
8、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦