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[SPARK-25237][SQL]remove updateBytesReadWithFileSize because we use Hadoop FileSystem s… #22232
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| Original file line number | Diff line number | Diff line change |
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| /* | ||
| * 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. | ||
| */ | ||
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| package org.apache.spark.sql.execution.datasources | ||
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| import scala.collection.mutable.ArrayBuffer | ||
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| 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 | ||
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| class FileSourceSuite extends QueryTest with SharedSQLContext with PredicateHelper { | ||
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| 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) | ||
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Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I think a single partition is ok for this test. |
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| val df = spark.read.csv(path).limit(1) | ||
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| 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) | ||
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| spark.sparkContext.addSparkListener(bytesReadListener) | ||
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| df.collect() | ||
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| spark.sparkContext.listenerBus.waitUntilEmpty(500) | ||
| spark.sparkContext.removeSparkListener(bytesReadListener) | ||
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| assert(bytesReads.sum < 3000) | ||
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Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe 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. |
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| } | ||
| } | ||
| } | ||
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If we just remove this
updateBytesReadWithFileSize, the issue in the description can be solved? We need to removeupdateBytesReadWithFileSizein the line 142, too?There was a problem hiding this comment.
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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.
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When there are one more files in the partition, the inputMetrics is wrong when updateBytesReadWithFileSize in the line 142 is exist.
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aha, I see.