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  2. Sphinx (search engine) - Wikipedia

    en.wikipedia.org/wiki/Sphinx_(search_engine)

    Sphinx is configured to examine a data set via its Indexer. The Indexer process creates a full-text index (a special data structure that enables quick keyword searches) from the given data/text. Full-text fields are the resulting content that is indexed by Sphinx; they can be (quickly) searched for keywords. Fields are named, and you can limit ...

  3. Full-text search - Wikipedia

    en.wikipedia.org/wiki/Full-text_search

    In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).

  4. MySQL - Wikipedia

    en.wikipedia.org/wiki/MySQL

    The InnoDB storage engine also included support for full-text search and improved group commit performance. The general availability of MySQL 5.7 was announced in October 2015. [ 40 ] As of MySQL 5.7.8, August 2015, [ 41 ] MySQL supports a native JSON data type defined by RFC 7159.

  5. InnoDB - Wikipedia

    en.wikipedia.org/wiki/InnoDB

    InnoDB is a storage engine for the database management system MySQL and MariaDB. [1] Since the release of MySQL 5.5.5 in 2010, it replaced MyISAM as MySQL's default table type. [2] [3] It provides the standard ACID-compliant transaction features, along with foreign key support (declarative referential integrity).

  6. Inverted index - Wikipedia

    en.wikipedia.org/wiki/Inverted_index

    The purpose of an inverted index is to allow fast full-text searches, at a cost of increased processing when a document is added to the database. [2] The inverted file may be the database file itself, rather than its index. It is the most popular data structure used in document retrieval systems, [3] used on a large scale for example in search ...

  7. Search engine indexing - Wikipedia

    en.wikipedia.org/wiki/Search_engine_indexing

    Generating or maintaining a large-scale search engine index represents a significant storage and processing challenge. Many search engines utilize a form of compression to reduce the size of the indices on disk. [19] Consider the following scenario for a full text, Internet search engine. It takes 8 bits (or 1 byte) to store a single character.

  8. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    Distributed document-oriented XML / JSON database platform with ACID-compliant transactions; high-availability data replication and sharding; built-in full-text search engine with relevance ranking; JS/SQL query language; GIS; Available as pay-per-use database as a service or as an on-premise free software download. Yes Couchbase Server ...

  9. Apache Solr - Wikipedia

    en.wikipedia.org/wiki/Apache_Solr

    Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features [2] and rich document (e.g., Word, PDF) handling. Providing distributed search and index replication, Solr is designed for scalability and fault tolerance. [3]