Elasticsearch

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Elasticsearch is a search server based on Lucene. It provides a distributed, multitenant-capable full-text search engine with a RESTfulWikipedia Logo.png

web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open source under the terms of the Apache LicenseWikipedia Logo.png

Apache License. Elasticsearch is the second most popular enterprise search engine.[1]

DOE relevance

Overview

Elasticsearch can be used to search all kinds of documents. It provides scalable search, has near real-time search, and supports multitenancy.[2] "Elasticsearch is distributed, which means that indices can be divided into shards and each shard can have zero or more replicas. Each node hosts one or more shards, and acts as a coordinator to delegate operations to the correct shard(s). Rebalancing and routing are done automatically [...]".[2]

It uses Lucene and tries to make all features of it available through the JSON and Java API. It supports facetting and percolating,[3] which can be useful for notifying if new documents match for registered queries.

Another feature is called "gateway" and handles the long term persistence of the index;[4] for example, an index can be recovered from the gateway in a case of a server crash. Elasticsearch supports real-time GET requests, which makes it suitable as a NoSQL solution,[5] but it lacks distributed transactions.[6]

Advantages

From Help:CirrusSearch Mediawiki logo.svg

  • Fuzzy search
  • Intitle and incategory
  • Deepcategory
  • Linksto
  • Hastemplate
  • subpageof
  • Page weighting
    • Morelike
    • morelikethis
    • Prefer-recent
    • Boost-templates

Users

Notable users of Elasticsearch[7] include

Related

External links

Community

References

  1. ↑ "DB-Engines Ranking - popularity ranking of search engines". db-engines.com. http://db-engines.com/en/ranking/search+engine. Retrieved 25 March 2015. 
  2. ↑ 2.0 2.1 "Official Website". Elasticsearch.org. http://www.elasticsearch.org/. Retrieved 2014-02-04. 
  3. ↑ "percolate at elasticsearch.org reference". Elasticsearch.org. http://www.elasticsearch.org/guide/reference/api/percolate/. Retrieved 2014-02-04. 
  4. ↑ "elasticsearch Guide: Gateway". elasticsearch. http://www.elasticsearch.org/guide/reference/modules/gateway/. Retrieved April 19, 2013. 
  5. ↑ "Elasticsearch as database". Karussell.wordpress.com. http://karussell.wordpress.com/2011/07/13/jetslide-uses-elasticsearch-as-database/. Retrieved 2014-02-04. 
  6. ↑ "No transaction support". Elasticsearch-users.115913.n3.nabble.com. 2010-07-08. http://elasticsearch-users.115913.n3.nabble.com/Distributed-transaction-support-td951313.html. Retrieved 2014-02-04. 
  7. ↑ "Elasticsearch.org Case Studies". Elasticsearch.org. http://www.elasticsearch.org/case-studies/. Retrieved 2014-10-03. 
  8. ↑ Horohoe, Chad (2014-01-06). "Wikimedia moving to Elasticsearch". https://blog.wikimedia.org/2014/01/06/wikimedia-moving-to-elasticsearch/. Retrieved 2014-02-21. 
  9. ↑ "StumbleUpon | Developer Blog". StumbleUpon.com. http://www.stumbleupon.com/blog/dev/searching-for-serendipity/. Retrieved 2014-02-21. 
  10. ↑ "Blog of Data". mozilla.org. https://blog.mozilla.org/data/2010/12/30/flume-hive-and-realtime-indexing-via-elasticsearch-2/. Retrieved 25 March 2015. 
  11. ↑ "ElasticSearch helps Mozilla Metrics team". Pedroalves-bi.blogspot.com. http://pedroalves-bi.blogspot.com/2011/03/firefox-4-twitter-and-nosql.html. Retrieved 2014-02-04. 
  12. ↑ "Full Text Search on Quora". Quora.com. http://www.quora.com/Full-Text-Search-on-Quora/What-technology-does-Quora-use-for-its-full-text-search-infrastructure/answer/Adrien-Lucas-Ecoffet. Retrieved 2014-02-04. 
  13. ↑ "foursquare now uses Elastic Search (and on a related note: Slashem also works with Elastic Search)! | Foursquare Engineering Blog". Engineering.foursquare.com. http://engineering.foursquare.com/2012/08/09/foursquare-now-uses-elastic-search-and-on-a-related-note-slashem-also-works-with-elastic-search/. Retrieved 2014-02-21. 
  14. ↑ "Oculus: The metric correlation component of Etsy's Kale system". Github.com. https://github.com/etsy/oculus#installation-overview. Retrieved 2014-02-04. 
  15. ↑ Petar Djekic. "Architecture behind our new Search and Explore experience". Backstage.soundcloud.com. http://backstage.soundcloud.com/2012/12/architecture-behind-our-new-search-and-explore-experience/. Retrieved 2014-02-04. 
  16. ↑ "A Whole New Code Search". Github.com. 2013-01-23. https://github.com/blog/1381-a-whole-new-code-search. Retrieved 2014-02-21. 
  17. ↑ "openFDA - About the API". FDA.gov. http://open.fda.gov/api/reference/. 
  18. ↑ "Needle in a haystack - Using Elasticsearch to run the Large Hadron Collider of CERN". medium.com. https://medium.com/@ghoranyi/needle-in-a-haystack-873c97a99983. 
  19. ↑ Craver, Nick (22 November 2013). "What it takes to run Stack Overflow". http://nickcraver.com/blog/2013/11/22/what-it-takes-to-run-stack-overflow/. Retrieved 2 October 2014. 
  20. ↑ "Center for Open Science". http://www.elasticsearch.org/case-study/center-for-open-science/. 
  21. ↑ Pritzker, Yan "How we switched elasticsearch clusters without anybody noticing", Reverb Blog, Chicago, 8 October 2014
  22. ↑ "The Netflix Tech Blog: Introducing Raigad - An Elasticsearch Sidecar". http://techblog.netflix.com/2014/11/introducing-raigad-elasticsearch-sidecar.html. 
  23. ↑ Steinberger, Simon (1 June 2014). "Advanced Image Search on Pixabay". http://pixabay.com/en/blog/posts/advanced-image-search-on-pixabay-46/. Retrieved 3 May 2015. 
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