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 |
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:[hidden email]]
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 This message is for the designated recipient only and may contain privileged, proprietary, or otherwise confidential information. If you have received it in error, please notify the sender immediately and delete the original. Any other use of the e-mail by you is prohibited. Where allowed by local law, electronic communications with Accenture and its affiliates, including e-mail and instant messaging (including content), may be scanned by our systems for the purposes of information security and assessment of internal compliance with Accenture policy. ______________________________________________________________________________________ www.accenture.com |
+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, <[hidden email]> wrote:
Neelesh Srinivas Salian Engineer |
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