Search results
Results from the WOW.Com Content Network
Elasticsearch is a search engine based on Apache Lucene. It provides a distributed, multitenant -capable full-text search engine with an HTTP web interface and schema-free JSON documents. Official clients are available in Java , [ 2 ] .NET [ 3 ] ( C# ), PHP , [ 4 ] Python , [ 5 ] Ruby [ 6 ] and many other languages. [ 7 ]
After Solr 1.4, the next release of Solr was labeled 3.1, in order to keep Solr and Lucene on the same version number. [11] In October 2012, Solr version 4.0 was released, including the new SolrCloud feature. [12] 2013 and 2014 saw a number of Solr releases in the 4.x line, steadily growing the feature set and improving reliability.
OpenSearch is a Lucene-based search engine that started as a fork of version 7.10.2 of the Elasticsearch service. [8] [2] It has Elastic NV trademarks and telemetry removed.It is licensed under the Apache License, version 2, [2] without a Contributor License Agreement.
Apache Solr – an enterprise search server; CrateDB – open source, distributed SQL database built on Lucene [15] DocFetcher – a multiplatform desktop search application [citation needed] Elasticsearch – an enterprise search server released in 2010 [16] [17] Kinosearch – a search engine written in Perl and C [18] and a loose port of ...
Comparison of programming languages; General comparison; Assignment; Basic syntax; Basic instructions; Comments; Control flow Foreach loops; While loops; For loops
License SA 3.0 and the GNU Free Documentation License 1.2 Recoll: Linux, Unix, Windows, macOS: Open-source desktop search tool for Unix/Linux GPL [8] Spotlight: macOS: Found in Apple Mac OS X "Tiger" and later OS X releases. Proprietary Strigi: Linux, Unix, Solaris, Mac OS X and Windows: Cross-platform open-source desktop search engine.
The combination of Elasticsearch, Logstash, and Kibana, referred to as the "Elastic Stack" (formerly the "ELK stack"), is available as a product or service. [6] Logstash provides an input stream to Elasticsearch for storage and search, and Kibana accesses the data for visualizations such as dashboards. [ 7 ]
Horizontal partitioning splits one or more tables by row, usually within a single instance of a schema and a database server. It may offer an advantage by reducing index size (and thus search effort) provided that there is some obvious, robust, implicit way to identify in which partition a particular row will be found, without first needing to search the index, e.g., the classic example of the ...