spark ContinuousScanExec 源码
spark ContinuousScanExec 代码
文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/ContinuousScanExec.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 org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.connector.read.{InputPartition, Scan}
import org.apache.spark.sql.connector.read.streaming.{ContinuousPartitionReaderFactory, ContinuousStream, Offset}
import org.apache.spark.sql.execution.streaming.continuous._
/**
* Physical plan node for scanning data from a streaming data source with continuous mode.
*/
case class ContinuousScanExec(
output: Seq[Attribute],
@transient scan: Scan,
@transient stream: ContinuousStream,
@transient start: Offset,
keyGroupedPartitioning: Option[Seq[Expression]] = None,
ordering: Option[Seq[SortOrder]] = None) extends DataSourceV2ScanExecBase {
// TODO: unify the equal/hashCode implementation for all data source v2 query plans.
override def equals(other: Any): Boolean = other match {
case other: ContinuousScanExec => this.stream == other.stream
case _ => false
}
override def hashCode(): Int = stream.hashCode()
override lazy val inputPartitions: Seq[InputPartition] = stream.planInputPartitions(start)
override lazy val readerFactory: ContinuousPartitionReaderFactory = {
stream.createContinuousReaderFactory()
}
override lazy val inputRDD: RDD[InternalRow] = {
assert(partitions.forall(_.length == 1), "should only contain a single partition")
EpochCoordinatorRef.get(
sparkContext.getLocalProperty(ContinuousExecution.EPOCH_COORDINATOR_ID_KEY),
sparkContext.env)
.askSync[Unit](SetReaderPartitions(partitions.size))
val inputRDD = new ContinuousDataSourceRDD(
sparkContext,
conf.continuousStreamingExecutorQueueSize,
conf.continuousStreamingExecutorPollIntervalMs,
partitions.map(_.head),
schema,
readerFactory,
customMetrics)
postDriverMetrics()
inputRDD
}
}
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