Skip to content
Closed
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -89,14 +89,6 @@ class FileScanRDD(
inputMetrics.setBytesRead(existingBytesRead + getBytesReadCallback())
}

// If we can't get the bytes read from the FS stats, fall back to the file size,
// which may be inaccurate.
private def updateBytesReadWithFileSize(): Unit = {
if (currentFile != null) {
inputMetrics.incBytesRead(currentFile.length)
}
}

private[this] val files = split.asInstanceOf[FilePartition].files.toIterator
private[this] var currentFile: PartitionedFile = null
private[this] var currentIterator: Iterator[Object] = null
Expand Down Expand Up @@ -139,7 +131,6 @@ class FileScanRDD(

/** Advances to the next file. Returns true if a new non-empty iterator is available. */
private def nextIterator(): Boolean = {
updateBytesReadWithFileSize()
if (files.hasNext) {
currentFile = files.next()
logInfo(s"Reading File $currentFile")
Expand Down Expand Up @@ -208,7 +199,6 @@ class FileScanRDD(

override def close(): Unit = {
updateBytesRead()
updateBytesReadWithFileSize()
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

If we just remove this updateBytesReadWithFileSize, the issue in the description can be solved? We need to remove updateBytesReadWithFileSize in the line 142, too?

Copy link
Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Yes, before SPARK-19464, there will only one works between updateBytesRead and updateBytesReadWithFileSize. If the hadoop version is 2.5 or earlier, updateBytesReadWithFileSize works, If the hadoop version is 2.6 or later, updateBytesRead works.

Copy link
Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

When there are one more files in the partition, the inputMetrics is wrong when updateBytesReadWithFileSize in the line 142 is exist.

Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

aha, I see.

InputFileBlockHolder.unset()
}
}
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,55 @@
/*
* 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

import scala.collection.mutable.ArrayBuffer

import org.apache.spark.scheduler.{SparkListener, SparkListenerTaskEnd}
import org.apache.spark.sql._
import org.apache.spark.sql.catalyst.expressions.PredicateHelper
import org.apache.spark.sql.test.SharedSQLContext


class FileSourceSuite extends QueryTest with SharedSQLContext with PredicateHelper {

test("[SPARK-25237] remove updateBytesReadWithFileSize in FileScanRdd") {
withTempPath { p =>
val path = p.getAbsolutePath
spark.range(1000).selectExpr("id AS c0", "rand() AS c1").repartition(10).write.csv(path)
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I think a single partition is ok for this test.

val df = spark.read.csv(path).limit(1)

val bytesReads = new ArrayBuffer[Long]()
val bytesReadListener = new SparkListener() {
override def onTaskEnd(taskEnd: SparkListenerTaskEnd) {
bytesReads += taskEnd.taskMetrics.inputMetrics.bytesRead
}
}
// Avoid receiving earlier taskEnd events
spark.sparkContext.listenerBus.waitUntilEmpty(500)

spark.sparkContext.addSparkListener(bytesReadListener)

df.collect()

spark.sparkContext.listenerBus.waitUntilEmpty(500)
spark.sparkContext.removeSparkListener(bytesReadListener)

assert(bytesReads.sum < 3000)
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

The data above could be made deterministic so that you can assert the bytes read more exactly. I wonder if it's important to make sure the bytes read are exact, rather than just close, given that the change above would change the metric only a little I think.

You can just track the sum rather than all values written, but it doesn't matter.

}
}
}