Currently there is no relation betweeen weak consistency and hadoop. I just spent more time thinking about the requirement (as outlined below) a) Maintain total of 3 data centers b) Maintain 1 copy per data center c) If any data center goes down, dont create additional copies. Above is not a valid model, especially requirement (c). Because this will take away "Strong Consistency" model supported by Hadoop. Hope this explains. I believe we can give up on requirement (c). I more currently exploring to see whether anyway to achieve (a) and (b). Requirement (b) can also be relaxed to have more copies per data center if needed From: [email protected] Date: Wed, 4 Sep 2013 10:04:49 +0530 Subject: Re: Multidata center support To: [email protected]
Under replicated blocks are also consistent from a consumers point. Care of explain the relation to weak consistency to hadoop. Thanks, Rahul On Wed, Sep 4, 2013 at 9:56 AM, Rahul Bhattacharjee <[email protected]> wrote: Adam's response makes more sense to me to offline replicate generated data from one cluster to another across data centers. Not sure if configurable block placement block placement policy is supported in Hadoop.If yes , then alone side with rack awareness , you should be able to achieve the same. I could not follow your question related to weak consistency. Thanks, Rahul On Wed, Sep 4, 2013 at 2:20 AM, Baskar Duraikannu <[email protected]> wrote: RahulAre you talking about rack-awareness script? I did go through rack awareness. Here are the problems with rack awareness w.r.to my (given) "business requirment" 1. Hadoop , default places two copies on the same rack and 1 copy on some other rack. This would work as long as we have two data centers. if business wants to have three data centers, then data would not be spread across. Separately there is a question around whether it is the right thing to do or not. I have been promised by business that they would buy enough bandwidth such that each data center will be few milliseconds apart (in latency). 2. I believe Hadoop automatically re-replicates data if one or more node is down. Assume when one out of 2 data center goes down. There will be a massive data flow to create additional copies. When I say data center support, I should be able to configure hadoop to say a) Maintain 1 copy per data center b) If any data center goes down, dont create additional copies. Above requirements that I am pointing will essentially move hadoop from strongly consistent to a week/eventual consistent model. Since this changes fundamental architecture, it will probably break all sort of things... Might not be possible ever in Hadoop. Thoughts? SadakIs there a way to implement above requirement via Federation? ThanksBaskar Date: Sun, 1 Sep 2013 00:20:04 +0530 Subject: Re: Multidata center support From: [email protected] To: [email protected] What do you think friends I think hadoop clusters can run on multiple data centers using FEDERATION On Sat, Aug 31, 2013 at 8:39 PM, Visioner Sadak <[email protected]> wrote: The only problem i guess hadoop wont be able to duplicate data from one data center to another but i guess i can identify data nodes or namenodes from another data center correct me if i am wrong On Sat, Aug 31, 2013 at 7:00 PM, Visioner Sadak <[email protected]> wrote: lets say that you have some machines in europe and some in US I think you just need the ips and configure them in your cluster set upit will work... On Sat, Aug 31, 2013 at 7:52 AM, Jun Ping Du <[email protected]> wrote: Hi, Although you can set datacenter layer on your network topology, it is never enabled in hadoop as lacking of replica placement and task scheduling support. There are some work to add layers other than rack and node under HADOOP-8848 but may not suit for your case. Agree with Adam that a cluster spanning multiple data centers seems not make sense even for DR case. Do you have other cases to do such a deployment? Thanks, Junping From: "Adam Muise" <[email protected]> To: [email protected] Sent: Friday, August 30, 2013 6:26:54 PM Subject: Re: Multidata center support Nothing has changed. DR best practice is still one (or more) clusters per site and replication is handled via distributed copy or some variation of it. A cluster spanning multiple data centers is a poor idea right now. On Fri, Aug 30, 2013 at 12:35 AM, Rahul Bhattacharjee <[email protected]> wrote: My take on this. Why hadoop has to know about data center thing. I think it can be installed across multiple data centers , however topology configuration would be required to tell which node belongs to which data center and switch for block placement. Thanks, Rahul On Fri, Aug 30, 2013 at 12:42 AM, Baskar Duraikannu <[email protected]> wrote: We have a need to setup hadoop across data centers. Does hadoop support multi data center configuration? I searched through archives and have found that hadoop did not support multi data center configuration some time back. Just wanted to see whether situation has changed. Please help. -- Adam MuiseSolution EngineerHortonworks [email protected] Hortonworks - Develops, Distributes and Supports Enterprise Apache Hadoop. 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