For performance improvement I'm trying to combine
Elasticsearch/Logstash/Kibana with Hadoop (cdh4) and configure opensource
alternative to Hunk. Unfortunately I'm familiar only with HDFS where I
store logs. In my opinion the combination of Elasticsearch and Hadoop
should use HDFS as storage and transparent Hadoop map/reduce functionality
I ran through elasticsearch-hadoop documentation and unfortunately I didn't
understand how this combination could help me for Kibana log analysis.
Documentation says "Elasticsearch real-time search and analytics natively
integrated with Hadoop.". But what should I configure? Hadoop with
Elasticsearch or Elasticsearch with Hadoop? As for the first one, I found
only Java code parts, nothing about the Hadoop configuration, so it seems
that I should be familiar with Java programming. As for the last one I
found only "Hadoop HDFS Snapshot/Restore plugin", but I guess it was
developed for indexes backup/restore, am I right?
Anyway, are my expectations right? Or elasticsearch-hadoop was developed
for Hadoop developers only and it is not suitable for
"elasticsearch/logstash/kibana + hadoop" (like Hunk).
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