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From Gwenhael Pasquiers <gwenhael.pasqui...@ericsson.com>
Subject RE: Generate _SUCCESS (map-reduce style) when folder has been written
Date Tue, 20 Dec 2016 15:44:36 GMT
No, don’t worry, I think it’s totally compliant with Hadoop’s behavior but I wanted it
to behave more like Flink (to totally clean the destination folder before outputing new files).

From: Fabian Hueske [mailto:fhueske@gmail.com]
Sent: mardi 20 décembre 2016 16:41
To: user@flink.apache.org
Subject: Re: Generate _SUCCESS (map-reduce style) when folder has been written

Great to hear!
Do you mean that the behavior of Flink's HadoopOutputFormat is not consistent with Hadoop's
behavior?
If that's the case, could you open a JIRA ticket to report this and maybe also contribute
your changes back?
Thanks a lot,
Fabian

2016-12-20 16:37 GMT+01:00 Gwenhael Pasquiers <gwenhael.pasquiers@ericsson.com<mailto:gwenhael.pasquiers@ericsson.com>>:
Thanks, it is working properly now.
NB : Had to delete the folder by code because Hadoop’s OuputFormats will only overwrite
file by file, not the whole folder.

From: Fabian Hueske [mailto:fhueske@gmail.com<mailto:fhueske@gmail.com>]
Sent: mardi 20 décembre 2016 14:21
To: user@flink.apache.org<mailto:user@flink.apache.org>
Subject: Re: Generate _SUCCESS (map-reduce style) when folder has been written

Hi Gwenhael,
The _SUCCESS files were originally generated by Hadoop for successful jobs. AFAIK, Spark leverages
Hadoop's Input and OutputFormats and seems to have followed this approach as well to be compatible.
You could use Flink's HadoopOutputFormat which is a wrapper for Hadoop OutputFormats (both
mapred and mapreduce APIs).
The wrapper does also produce the _SUCCESS files. In fact, you might be able to use exactly
the same OutputFormat as your Spark job.
Best,
Fabian

2016-12-20 14:00 GMT+01:00 Gwenhael Pasquiers <gwenhael.pasquiers@ericsson.com<mailto:gwenhael.pasquiers@ericsson.com>>:
Hi,

Sorry if it’s already been asked but is there an embedded way for flink to generate a _SUCCESS
file in the folders it’s been writing into (using the write method with OutputFormat) ?

We are replacing a spark job that was generating those files (and further operations rely
on it).

Best regards,

Gwenhaël PASQUIERS


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