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From Public Network Services <publicnetworkservi...@gmail.com>
Subject Large-scale collection of logs from multiple Hadoop nodes
Date Mon, 05 Aug 2013 17:58:57 GMT

I am facing a large-scale usage scenario of log collection from a Hadoop
cluster and examining ways as to how it should be implemented.

More specifically, imagine a cluster that has hundreds of nodes, each of
which constantly produces Syslog events that need to be gathered an
analyzed at another point. The total amount of logs could be tens of
gigabytes per day, if not more, and the reception rate in the order of
thousands of events per second, if not more.

One solution is to send those events over the network (e.g., using using
flume) and collect them in one or more (less than 5) nodes in the cluster,
or in another location, whereby the logs will be processed by a either
constantly MapReduce job, or by non-Hadoop servers running some log
processing application.

Another approach could be to deposit all these events into a queuing system
like ActiveMQ or RabbitMQ, or whatever.

In all cases, the main objective is to be able to do real-time log analysis.

What would be the best way of implementing the above scenario?



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