Elasticsearch
Elasticsearch
Developer(s) Shay Banon
Stable release
5.2.2 / February 28, 2017; 26 days ago (2017-02-28)
Repository github.com/elastic/elasticsearch
Development status Active
Written in Java
Operating system Cross-platform
Type Search and index
License Apache License 2.0
Website www.elastic.co/products/elasticsearch
Elasticsearch BV
Industry Software Development
Headquarters Amsterdam
Services Elasticsearch commercial solutions
Website www.elastic.co
Shay Banon talking about Elasticsearch at Berlin Buzzwords 2010

Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open source under the terms of the Apache License. Official clients are available in Java, .NET (C#), Python, Groovy and many other languages.[1] Elasticsearch is the most popular enterprise search engine followed by Apache Solr, also based on Lucene.[2]

It is developed alongside a data collection and log parsing engine called Logstash, and an analytics and visualisation platform called Kibana. The three products are designed to be used as an integrated solution, referred to as the "ELK stack".

History

Shay Banon created the precursor to Elasticsearch, called Compass, in 2004.[3] While thinking about the third version of Compass he realized that it would be necessary to rewrite big parts of Compass to "create a scalable search solution".[3] So he created "a solution built from the ground up to be distributed" and used a common interface, JSON over HTTP, suitable for programming languages other than Java as well.[3] Shay Banon released the first version of Elasticsearch in February 2010.[4]

Elasticsearch BV was founded in 2012 to provide commercial services and products around Elasticsearch and related software.[5] In June 2014, the company announced raising $70 million in a Series C funding round, just 18 months after forming the company. The round was led by New Enterprise Associates (NEA). Additional funders include Benchmark Capital and Index Ventures. This round brings total funding to $104M.[6]

In March 2015, the company Elasticsearch changed their name to Elastic.[7]

Version Original release date Latest version Release date Maintenance Status[8]
Old version, no longer supported: 0.4 2010-02-08 0.4.0 2010-02-08 No longer supported
Old version, no longer supported: 0.5 2010-03-05[9] 0.5.1 2010-03-09 No longer supported
Old version, no longer supported: 0.6 2010-04-09[10] 0.6.0 2010-04-09 No longer supported
Old version, no longer supported: 0.7 2010-05-14[11] 0.7.1 2010-05-17[12] No longer supported
Old version, no longer supported: 0.8 2010-05-27[13] 0.8.0 2010-05-27 No longer supported
Old version, no longer supported: 0.9 2010-07-26[14] 0.9.0 2010-07-26 No longer supported
Old version, no longer supported: 0.10 2010-08-27[15] 0.10.0 2010-08-27 No longer supported
Old version, no longer supported: 0.11 2010-09-29[16] 0.11.0 2010-09-29 No longer supported
Old version, no longer supported: 0.12 2010-10-18[17] 0.12.1 2010-10-27 No longer supported
Old version, no longer supported: 0.13 2010-11-18[18] 0.13.1 2010-12-03 No longer supported
Old version, no longer supported: 0.14 2010-12-27[19] 0.14.4 2011-01-31 No longer supported
Old version, no longer supported: 0.15 2011-02-18[20] 0.15.2 2011-03-07 No longer supported
Old version, no longer supported: 0.16 2011-04-23[21] 0.16.5 2011-07-26 No longer supported
Old version, no longer supported: 0.17 2011-07-19[22] 0.17.10 2011-11-16 No longer supported
Old version, no longer supported: 0.18 2011-10-26[23] 0.18.7 2012-01-10[24] No longer supported
Old version, no longer supported: 0.19 2012-03-01[25] 0.19.12 2012-12-04[26] No longer supported
Old version, no longer supported: 0.20 2012-12-07[27] 0.20.6 2013-03-25[28] No longer supported
Old version, no longer supported: 0.90 2013-04-29[29] 0.90.13 2014-03-25[30] No longer supported
Old version, no longer supported: 1.0 2014-02-12[31] 1.0.3 2014-04-16[32] No longer supported
Old version, no longer supported: 1.1 2014-03-25[30] 1.1.2 2014-05-22[33] No longer supported
Old version, no longer supported: 1.2 2014-05-22[33] 1.2.4 2014-08-13[34] No longer supported
Old version, no longer supported: 1.3 2014-07-23[35] 1.3.9 2015-02-19[36] No longer supported
Old version, no longer supported: 1.4 2014-11-05[37] 1.4.5 2015-04-27[38] No longer supported
Old version, no longer supported: 1.5 2015-03-23[39] 1.5.2 2015-04-27[38] No longer supported
Old version, no longer supported: 1.6 2015-06-09[40] 1.6.2 2015-07-29[41] No longer supported
Old version, no longer supported: 1.7 2015-07-16[42] 1.7.5 2016-02-02[43] No longer supported
Older version, yet still supported: 2.0 2015-10-28[44] 2.0.2 2015-12-17[45] Still supported
Older version, yet still supported: 2.1 2015-11-24[46] 2.1.2 2016-02-02[43] Still supported
Older version, yet still supported: 2.2 2016-02-02[43] 2.2.2 2016-03-30[47] Still supported
Older version, yet still supported: 2.3 2016-03-30[47] 2.3.5 2016-08-03[48] Still supported
Older version, yet still supported: 2.4 2016-08-31[49] 2.4.4 2016-11-15[50] Still supported
Older version, yet still supported: 5.0 2016-10-26[51] 5.0.2 2016-11-29[52] Still supported
Older version, yet still supported: 5.1 2016-12-08[53] 5.1.2 2017-01-12[50] Still supported
Current stable version: 5.2 2017-01-31[54] 5.2.2 2017-02-28[55] Latest
Legend:
Old version
Older version, still supported
Latest version
Latest preview version
Future release

Overview

Elasticsearch can be used to search all kinds of documents. It provides scalable search, has near real-time search, and supports multitenancy.[1] "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 [...]".[1] Related data is often stored in the same index, which consists of one or more primary shards, and zero or more replica shards. Once an index has been created, the number of primary shards cannot be changed.[56]

Elasticsearch uses Lucene and tries to make all its features available through the JSON and Java API. It supports facetting and percolating,[57] 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;[58] for example, an index can be recovered from the gateway in the event of a server crash. Elasticsearch supports real-time GET requests, which makes it suitable as a NoSQL datastore,[59] but it lacks distributed transactions.[60]

Users

Notable users of Elasticsearch[61] include :[]

Managed Services

Several organizations offer Elasticsearch as a managed service, including Amazon Web Services Elasticsearch Service,[83] Bonsai,[84] Elastic Cloud,[85] Qbox,[86] Searchly[87] and IBM.[88] Such managed services provide hosting, deployment, backup and other support as a package, reducing the skills and time needed to implement and operate Elasticsearch.[89] Most managed services also include support for Kibana.

See also

References

  1. ^ a b c "Official Website". Elasticsearch.org. Retrieved . 
  2. ^ "DB-Engines Ranking - popularity ranking of search engines". db-engines.com. Retrieved 2016. 
  3. ^ a b c Banon, Shay. "The Future of Compass & ElasticSearch". 
  4. ^ Banon, Shay (2010-02-08). "You Know, for Search". Archived from the original on 2013-01-16. 
  5. ^ "Immediate Insight from Data Matters". elastic.co. Retrieved 2015. 
  6. ^ "ElasticSearch Scores $70M In Series C To Fund Growth Spurt". TechCrunch. AOL. Retrieved 2015. 
  7. ^ "Elasticsearch Changes Name to Elastic to Reflect Wide Adoption Beyond Search". Elastic. Retrieved 2016. 
  8. ^ "Elastic Product End of Life Dates". Retrieved . 
  9. ^ "0.5.0 Released". Retrieved . 
  10. ^ "0.6.0 Released". Retrieved . 
  11. ^ "0.7.0 Released". Retrieved . 
  12. ^ "0.7.1 Released". Retrieved . 
  13. ^ "0.8.0 Released". Retrieved . 
  14. ^ "0.9.0 Released". Retrieved . 
  15. ^ "0.10.0 Released". Retrieved . 
  16. ^ "0.11.0 Released". Retrieved . 
  17. ^ "0.12.0 Released". Retrieved . 
  18. ^ "0.13.0 Released". Retrieved . 
  19. ^ "0.14.0 Released". Retrieved . 
  20. ^ "0.15.0 Released". Retrieved . 
  21. ^ "0.16.0 Released". Retrieved . 
  22. ^ "0.17.0 Released". Retrieved . 
  23. ^ "0.18.0 Released". Retrieved . 
  24. ^ "0.18.7 Released". Retrieved . 
  25. ^ "0.19.0 Released". Retrieved . 
  26. ^ "0.19.12 Released". Retrieved . 
  27. ^ "0.20.0 Released". Retrieved . 
  28. ^ "0.20.6 Released". Retrieved . 
  29. ^ "0.90.0 Released". Retrieved . 
  30. ^ a b "Elasticsearch 1.1.0, 1.0.2 and 0.90.13 released". Retrieved . 
  31. ^ "1.0.0 Released". Retrieved . 
  32. ^ "Elasticsearch 1.1.1 and 1.0.3 Released". Retrieved . 
  33. ^ a b "Elasticsearch 1.2.0 and 1.1.2 released". Retrieved . 
  34. ^ "Elasticsearch 1.3.2 and 1.2.4 Released". Retrieved . 
  35. ^ "Elasticsearch 1.3.0 And 1.2.3 Released". Retrieved . 
  36. ^ "Elasticsearch 1.4.4 and 1.3.9 Released". Retrieved . 
  37. ^ "Elasticsearch 1.4.0 And 1.3.5 Released". Retrieved . 
  38. ^ a b "Elasticsearch 1.5.2 and 1.4.5 Released". Retrieved . 
  39. ^ "Elasticsearch 1.5.0 Released". Retrieved . 
  40. ^ "Elasticsearch 1.6.0 released". Retrieved . 
  41. ^ "Elasticsearch 1.7.1 and 1.6.2 released". Retrieved . 
  42. ^ "Elasticsearch 1.7.0 and 1.6.1 released". Retrieved . 
  43. ^ a b c "Elasticsearch 2.2.0 and 2.1.2 and 1.7.5 released". Retrieved . 
  44. ^ "Elasticsearch 2.0.0 GA released". Retrieved . 
  45. ^ "Elasticsearch 2.1.1, 2.0.2, and 1.7.4 released". Retrieved . 
  46. ^ "Elasticsearch 2.1.0 and 2.0.1 released". Retrieved . 
  47. ^ a b "Elasticsearch 2.3.0 and 2.2.2 released". Retrieved . 
  48. ^ "Elasticsearch 2.3.5 released". Retrieved . 
  49. ^ "Elasticsearch 2.4.0 released". Retrieved . 
  50. ^ a b "Elasticsearch 5.1.2 and 2.4.4 released". Retrieved . 
  51. ^ "Elastic Stack 5.0.0 released". Retrieved . 
  52. ^ "Elasticsearch 5.0.2 released". Retrieved . 
  53. ^ "Elasticsearch 5.1.1 released". Retrieved . 
  54. ^ "Elasticsearch 5.2.0 released". Retrieved . 
  55. ^ "Elasticsearch 5.2.2 released". Retrieved . 
  56. ^ "How to monitor Elasticsearch performance". 
  57. ^ "percolate at elasticsearch.org reference". Elasticsearch.org. Retrieved . 
  58. ^ "elasticsearch Guide: Gateway". elasticsearch. Retrieved 2013. 
  59. ^ "Elasticsearch as database". Karussell.wordpress.com. Retrieved . 
  60. ^ "No transaction support". Elasticsearch-users.115913.n3.nabble.com. 2010-07-08. Retrieved . 
  61. ^ "Elasticsearch.org Case Studies". Elasticsearch.org. Retrieved . 
  62. ^ Homer, Alex. "Set up and administration for Microsoft Code Search in Visual Studio Team Services and Team Foundation Server". www.visualstudio.com. Retrieved . 
  63. ^ Horohoe, Chad (2014-01-06). "Wikimedia moving to Elasticsearch". Wikimedia blog. Retrieved . 
  64. ^ "Adding Context to Queries: The Story Behind Adobe's API and UI". www.elastic.co. Retrieved . 
  65. ^ "From Hackathon to Production: Elasticsearch @ Facebook". www.elastic.co. Retrieved . 
  66. ^ "StumbleUpon | Developer Blog". StumbleUpon.com. Retrieved . 
  67. ^ "Blog of Data". mozilla.org. Retrieved 2015. 
  68. ^ "ElasticSearch helps Mozilla Metrics team". Pedroalves-bi.blogspot.com. Retrieved . 
  69. ^ "Full Text Search on Quora". Quora.com. Retrieved . 
  70. ^ "What programming language was Quizlet built on? - Quora". www.quora.com. Retrieved . 
  71. ^ "foursquare now uses Elastic Search (and on a related note: Slashem also works with Elastic Search)! | Foursquare Engineering Blog". Engineering.foursquare.com. Retrieved . 
  72. ^ "Oculus: The metric correlation component of Etsy's Kale system". Github.com. Retrieved . 
  73. ^ Petar Djekic. "Architecture behind our new Search and Explore experience". Backstage.soundcloud.com. Retrieved . 
  74. ^ "A Whole New Code Search". Github.com. 2013-01-23. Retrieved . 
  75. ^ "openFDA - About the API". FDA.gov. 
  76. ^ "Needle in a haystack - Using Elasticsearch to run the Large Hadron Collider of CERN". medium.com. 
  77. ^ Craver, Nick (22 November 2013). "What it takes to run Stack Overflow". Retrieved 2014. 
  78. ^ "Center for Open Science". 
  79. ^ Pritzker, Yan (8 October 2014). "How we switched elasticsearch clusters without anybody noticing". Reverb Blog. 
  80. ^ "The Netflix Tech Blog: Introducing Raigad - An Elasticsearch Sidecar". 
  81. ^ Steinberger, Simon (1 June 2014). "Advanced Image Search on Pixabay". Retrieved 2015. 
  82. ^ "Lichess.org". Lichess.org. Retrieved . 
  83. ^ "Amazon Elasticsearch Service". Amazon.com. Retrieved . 
  84. ^ "Elasticsearch on AWS". bonsai.io. Retrieved . 
  85. ^ "Hosted Elasticsearch & Kibana on AWS". elastic.co. Retrieved . 
  86. ^ "Hosted Elasticsearch". qbox.io. Retrieved . 
  87. ^ "Simple Elasticsearch Hosting". searchly.com. Retrieved . 
  88. ^ "Elasticsearch on IBM Cloud". www.bluemix.net. Retrieved . 
  89. ^ "Elasticsearch Setup". ctovision.com. Retrieved . 

External links


  This article uses material from the Wikipedia page available here. It is released under the Creative Commons Attribution-Share-Alike License 3.0.


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