/* * 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.streaming import org.apache.spark.rdd.{EmptyRDD, RDD} import org.apache.spark.sql.catalyst.InternalRow import org.apache.spark.sql.catalyst.analysis.MultiInstanceRelation import org.apache.spark.sql.catalyst.expressions.Attribute import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Statistics} import org.apache.spark.sql.execution.SparkPlan import org.apache.spark.streaming.Time import org.apache.spark.streaming.dstream.DStream /** A LogicalPlan wrapper of row based DStream. */ private[streaming] case class LogicalDStream(output: Seq[Attribute], stream: DStream[InternalRow]) (val streamSqlContext: StreamSQLContext) extends LogicalPlan with MultiInstanceRelation { def children = Nil def newInstance() = LogicalDStream(output.map(_.newInstance()), stream)(streamSqlContext).asInstanceOf[this.type] @transient override lazy val statistics = Statistics( sizeInBytes = BigInt(streamSqlContext.sqlContext.conf.defaultSizeInBytes) ) } /** * A PhysicalPlan wrapper of row based DStream, inject the validTime and generate an effective * RDD of current batchDuration. */ private[streaming] case class PhysicalDStream(output: Seq[Attribute], @transient stream: DStream[InternalRow]) extends SparkPlan with StreamPlan { def children = Nil override def doExecute() = { assert(validTime != null) Utils.invoke(classOf[DStream[InternalRow]], stream, "getOrCompute", (classOf[Time], validTime)) .asInstanceOf[Option[RDD[InternalRow]]] .getOrElse(new EmptyRDD[InternalRow](sparkContext)) } }