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https://issues.apache.org/jira/browse/SPARK-28575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kushal Mahajan updated SPARK-28575:
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Attachment: spark_2.3_screenshot.PNG
spark_2.1_screenshot.PNG
> Spark job time increasing when upgrading Spark from 2.1.1 to 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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