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From "Kushal Mahajan (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-28575) Time lag between two consecutive spark actions using Spark 2.3.1
Date Mon, 05 Aug 2019 08:15:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-28575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Kushal Mahajan updated SPARK-28575:
-----------------------------------
    Summary: Time lag between two consecutive spark actions using Spark 2.3.1  (was: Spark
job time increasing when upgrading Spark from 2.1.1 to 2.3.1)

> Time lag between two consecutive spark actions using Spark 2.3.1
> ----------------------------------------------------------------
>
>                 Key: SPARK-28575
>                 URL: https://issues.apache.org/jira/browse/SPARK-28575
>             Project: Spark
>          Issue Type: Bug
>          Components: Scheduler
>    Affects Versions: 2.3.1
>            Reporter: Kushal Mahajan
>            Priority: Major
>         Attachments: spark_2.1_screenshot.PNG, spark_2.3_screenshot.PNG
>
>
> I am running a spark job using standalone cluster with Spark 2.1.1. The standalone cluster
was upgraded from 2.1.1 to Spark 2.3.1. There was considerable drop in performance(~3-4 times)
in the spark job. Upon investigation, I found out that there is considerable time lag(ranging
from 30 sec to 2 min) between start time of different spark actions(excluding the time taken
by the action itself).(as can be seen from start time of each job in Spark UI page). This
was not there in Spark 2.1.1. Can anybody tell what is the issue here?
> PS: I am reading multiple text files from S3 using wholeTextFile, creating multiple dataframes
for thos textfiles and writing them out to S3 in csv format.



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