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From "Bart Samwel (Jira)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-32130) Spark 3.0 json load performance is unacceptable in comparison of Spark 2.4
Date Wed, 01 Jul 2020 10:02:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-32130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17149263#comment-17149263
] 

Bart Samwel commented on SPARK-32130:
-------------------------------------

+1 to what [~cloud_fan] said. We should just keep the default hardcoded to "false" for 3.0,
and then add the config to 3.1. We won't be able to flip it any time soon anyway, so there's
no rush to add it.

> Spark 3.0 json load performance is unacceptable in comparison of Spark 2.4
> --------------------------------------------------------------------------
>
>                 Key: SPARK-32130
>                 URL: https://issues.apache.org/jira/browse/SPARK-32130
>             Project: Spark
>          Issue Type: Bug
>          Components: Input/Output
>    Affects Versions: 3.0.0
>         Environment: 20/06/29 07:52:19 WARN Utils: Your hostname, sanjeevs-MacBook-Pro-2.local
resolves to a loopback address: 127.0.0.1; using 10.0.0.8 instead (on interface en0)
> 20/06/29 07:52:19 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
> 20/06/29 07:52:19 WARN NativeCodeLoader: Unable to load native-hadoop library for your
platform... using builtin-java classes where applicable
> Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
> 20/06/29 07:52:26 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting
port 4041.
> Spark context Web UI available at http://10.0.0.8:4041
> Spark context available as 'sc' (master = local[*], app id = local-1593442346864).
> Spark session available as 'spark'.
> Welcome to
>  ____ __
>  / __/__ ___ _____/ /__
>  _\ \/ _ \/ _ `/ __/ '_/
>  /___/ .__/\_,_/_/ /_/\_\ version 3.0.0
>  /_/
> Using Scala version 2.12.10 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_251)
> Type in expressions to have them evaluated.
> Type :help for more information.
>            Reporter: Sanjeev Mishra
>            Priority: Critical
>         Attachments: SPARK 32130 - replication and findings.ipynb, small-anon.tar
>
>
> We are planning to move to Spark 3 but the read performance of our json files is unacceptable.
Following is the performance numbers when compared to Spark 2.4
>  
>  Spark 2.4
> scala> spark.time(spark.read.json("/data/20200528"))
>  Time taken: {color:#ff0000}19691 ms{color}
>  res61: org.apache.spark.sql.DataFrame = [created: bigint, id: string ... 5 more fields]
>  scala> spark.time(res61.count())
>  Time taken: {color:#0000ff}7113 ms{color}
>  res64: Long = 2605349
>  Spark 3.0
>  scala> spark.time(spark.read.json("/data/20200528"))
>  20/06/29 08:06:53 WARN package: Truncated the string representation of a plan since
it was too large. This behavior can be adjusted by setting 'spark.sql.debug.maxToStringFields'.
>  Time taken: {color:#ff0000}849652 ms{color}
>  res0: org.apache.spark.sql.DataFrame = [created: bigint, id: string ... 5 more fields]
>  scala> spark.time(res0.count())
>  Time taken: {color:#0000ff}8201 ms{color}
>  res2: Long = 2605349
>   
>   
>  I am attaching a sample data (please delete is once you are able to reproduce the issue)
that is much smaller than the actual size but the performance comparison can still be verified.
> The sample tar contains bunch of json.gz files, each line of the file is self contained
json doc as shown below
> To reproduce the issue please untar the attachment - it will have multiple .json.gz files
whose contents will look similar to following
>  
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> {quote}
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HNC IGD EUROPA","Arris.NVG.Wireless","VoiceService:1.0","WLAN.Radios.Action.Common.TR098","ConnecticutDeviceTypes","Device.Supports.SpeedTest","Motorola.Device.Supports.VoIP","Arris.NVG468MQ","Motorola.device","CaptivePortal:1","Arris.NVG4xx","All.TR069.RG.Devices","TraceRoute:1","Arris.NVG4xx.9.3.0+","datamodel.igd","Arris.NVG4xxQ","IPPing:1","Device.ServiceType.IP","001E46.NVG468MQ.Is.WANEth","Arris.NVG468MQ.9.2.4+","broken.device.no.notification"],"deviceType":"IGD","firstInform":"1517843629132","groups":["Total
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> {quote}
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> {quote}



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