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Apache Flume: Distributed Log Collection for Hadoop

You're reading from  Apache Flume: Distributed Log Collection for Hadoop

Product type Book
Published in Feb 2015
Publisher
ISBN-13 9781784392178
Pages 178 pages
Edition 1st Edition
Languages
Author (1):
Steven Hoffman Steven Hoffman
Profile icon Steven Hoffman

ElasticSearchSink


Another common target to stream data to be searched in NRT is Elasticsearch. Elasticsearch is also a clustered searching platform based on Lucene, like Solr. It is often used along with the logstash project (to create structured logs) and the Kibana project (a web UI for searches). This trio is often referred to as the acronym ELK (Elasticsearch/Logstash/Kibana).

Note

Here are the project home pages for the ELK stack that can give you a much better overview than I can in a few short pages:

  • Elasticsearch: http://elasticsearch.org/

  • Logstash: http://logstash.net/

  • Kibana: http://www.elasticsearch.org/overview/kibana/

In Elasticsearch, data is grouped into indices. You can think of these as being equivalent to databases in a single MySQL installation. The indices are composed of types (similar to tables in databases), which are made up of documents. A document is like a single row in a database, so, each Flume event will become a single document in ElasticSearch. Documents have...

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