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POHow to use HBase and Hadoop to serve live traffic AND perform analytics? (Single cluster vs separate clusters?)
 

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  1. POHow to use HBase and Hadoop to serve live traffic AND perform analytics? (Single cluster vs separate clusters?)
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    <p>Our primary purpose is to use Hadoop for doing analytics. In this use case, we do batch processing, so throughput is more important than latency, meaning that HBase is not necessarily a good fit (although getting closer to real-time analytics does sound appealing). We are playing around with Hive and we like it so far.</p> <p>Although analytics is the main thing we want to do in the immediate future with Hadoop, we are also looking to potentially migrate parts of our operations to HBase and to serve live traffic out of it. The data that would be stored there is the same data that we use in our analytics, and I wonder if we could just have one system for both live traffic and analytics.</p> <p>I have read a lot of reports and it seems that most organizations choose to have separate clusters for serving traffic and for analytics. This seems like a reasonable choice for stability purposes, since we plan to have many people writing Hive queries, and badly written queries could potentially compromise the live operations.</p> <p>Now my question is: how are those two different use cases reconciled (serving live traffic and doing batch analytics)? Do organizations use systems to write all data in two otherwise independent clusters? Or is it possible to do this out of the box with a single cluster in which some of the nodes serve live traffic and others do only analytics?</p> <p>What I'm thinking is that we could perhaps have all data coming into the nodes that are used for serving live traffic, and let the HDFS replication mechanisms manage the copying of data into nodes that are used for analytics (increasing the replication higher than the default 3 probably makes sense in such scenario). Hadoop can be made aware of special network topologies, and it has functionality to always replicate at least one copy to different racks, so this seems to mesh well with what I'm describing.</p> <p>The nodes dedicated to live traffic could be set to have zero (or few) map and reduce slots, so that all Hive queries end up being processed by the nodes dedicated to analytics.</p> <p>The nodes dedicated to analytics would always be a little behind those dedicated to serving live traffic, but that does not seem to be a problem.</p> <p>Does that kind of solution make sense? I am thinking it could be more simple to have one cluster than two, but would this be significantly riskier? Are there known cases of companies using a HBase cluster to serve live traffic while also running batch analytics jobs on it?</p> <p>I'd love to get your opinions on this :) !</p> <p>Thanks.</p> <p>EDIT: What about Brisk? It's based on Cassandra instead of HBase, but it seems to be made exactly for what I'm describing (hybrid clusters). Has anyone worked with it before? Is it mature?</p> <p>-- Felix</p>
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