spark WriteToStreamStatement 源码
spark WriteToStreamStatement 代码
文件路径:/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/streaming/WriteToStreamStatement.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.streaming
import org.apache.hadoop.conf.Configuration
import org.apache.spark.sql.catalyst.catalog.CatalogTable
import org.apache.spark.sql.catalyst.expressions.Attribute
import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, UnaryNode}
import org.apache.spark.sql.connector.catalog.{Identifier, Table, TableCatalog}
import org.apache.spark.sql.streaming.OutputMode
/**
* A statement for Stream writing. It contains all neccessary param and will be resolved in the
* rule [[ResolveStreamWrite]].
*
* @param userSpecifiedName Query name optionally specified by the user.
* @param userSpecifiedCheckpointLocation Checkpoint location optionally specified by the user.
* @param useTempCheckpointLocation Whether to use a temporary checkpoint location when the user
* has not specified one. If false, then error will be thrown.
* @param recoverFromCheckpointLocation Whether to recover query from the checkpoint location.
* If false and the checkpoint location exists, then error
* will be thrown.
* @param sink Sink to write the streaming outputs.
* @param outputMode Output mode for the sink.
* @param hadoopConf The Hadoop Configuration to get a FileSystem instance
* @param isContinuousTrigger Whether the statement is triggered by a continuous query or not.
* @param inputQuery The analyzed query plan from the streaming DataFrame.
* @param catalogAndIdent Catalog and identifier for the sink, set when it is a V2 catalog table
*/
case class WriteToStreamStatement(
userSpecifiedName: Option[String],
userSpecifiedCheckpointLocation: Option[String],
useTempCheckpointLocation: Boolean,
recoverFromCheckpointLocation: Boolean,
sink: Table,
outputMode: OutputMode,
hadoopConf: Configuration,
isContinuousTrigger: Boolean,
inputQuery: LogicalPlan,
catalogAndIdent: Option[(TableCatalog, Identifier)] = None,
catalogTable: Option[CatalogTable] = None) extends UnaryNode {
override def isStreaming: Boolean = true
override def output: Seq[Attribute] = Nil
override def child: LogicalPlan = inputQuery
override protected def withNewChildInternal(newChild: LogicalPlan): WriteToStreamStatement =
copy(inputQuery = newChild)
}
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
-
7、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦