+1 to dropping Hadoop 1.x
I am fairly certain there are very few legacy Hadoop users. 2.x is heavily
used at the moment.
Spark actually changed not just Hadoop but Python versions as well.
Hadoop 3 would take a while to mature so I would suggest holding off on
that after it is well baked in and used.
@Robert , after sufficient folks have responded to this thread and
discussed, if you could kick off a vote (if needed), then we can go ahead
and get that confirmed.
Thanks for bringing it up.
On Thu, Oct 13, 2016 at 8:02 AM, <ruben.casado.teje...@accenture.com> wrote:
> I am totally agree with Robert. From the industry point of view, we are
> not using in any client Hadoop 1.x . Even in legacy system, we have already
> upgraded the software.
>
>
>
> *From:* Robert Metzger [mailto:rmetz...@apache.org]
> *Sent:* jueves, 13 de octubre de 2016 16:48
> *To:* d...@flink.apache.org; user@flink.apache.org
> *Subject:* [DISCUSS] Drop Hadoop 1 support with Flink 1.2
>
>
>
> Hi,
>
>
>
> The Apache Hadoop community has recently released the first alpha version
> for Hadoop 3.0.0, while we are still supporting Hadoop 1. I think its time
> to finally drop Hadoop 1 support in Flink.
>
>
>
> The last minor Hadoop 1 release was in 27 June, 2014.
>
> Apache Spark dropped Hadoop 1 support with their 2.0 release in July 2016.
>
> Hadoop 2.2 was first released in October 2013, so there was enough time
> for users to upgrade.
>
>
>
> I added also the user@ list to the discussion to get opinions about this
> from there as well.
>
>
>
> Let me know what you think about this!
>
>
>
>
>
> Regards,
>
> Robert
>
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