You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/07/15 20:40:04 UTC
[jira] [Resolved] (SPARK-9072) Parquet : Writing data to S3 very
slowly
[ https://issues.apache.org/jira/browse/SPARK-9072?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-9072.
------------------------------
Resolution: Invalid
Fix Version/s: (was: 1.5.0)
[~mkanchwala] Please read https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark There are some problems here (don't set critical; you shouldn't have set fix version). But this also looks like a question and something you're investigating. It's not suitable as a JIRA since you don't have a clear issue to report.
> Parquet : Writing data to S3 very slowly
> ----------------------------------------
>
> Key: SPARK-9072
> URL: https://issues.apache.org/jira/browse/SPARK-9072
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Murtaza Kanchwala
> Priority: Critical
> Labels: parquet
>
> I've created spark programs through which I am converting the normal textfile to parquet and csv to S3.
> There is around 8 TB of data and I need to compress it into lower for further processing on Amazon EMR
> Results :
> 1) Text -> CSV took 1.2 hrs to transform 8 TB of data without any problems successfully to S3.
> 2) Text -> Parquet Job completed in the same time (i.e. 1.2 hrs) but still after the Job completion it is spilling/writing the data separately to S3 which is making it slower and in starvation.
> Input : s3n://<SameBucket>/input
> Output : s3n://<SameBucket>/output/parquet
> Lets say If I have around 10K files then it is taking 1000 files / 20 min to write back in S3.
> Note :
> Also I found that program is creating temp folder on S3 output location, And in Logs I've seen S3ReadDelays.
> Can anyone tell me what am I doing wrong? or is there anything I need to add so that the Spark App cant create temp folder on S3 and do write ups fast from EMR to S3 just like saveAsTextFile. Thanks
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org