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  2. Outline of MySQL - Wikipedia

    en.wikipedia.org/wiki/Outline_of_MySQL

    MyISAM – default storage engine for the MySQL relational database management system versions prior to 5.5. It is based on the older ISAM code but has many useful extensions. MySQL Archive – this analytic storage engine can be used to create a table that is “archive” only. Data cannot be deleted from this table, only added.

  3. Prepared statement - Wikipedia

    en.wikipedia.org/wiki/Prepared_statement

    Major DBMSs, including SQLite, [5] MySQL, [6] Oracle, [7] IBM Db2, [8] Microsoft SQL Server [9] and PostgreSQL [10] support prepared statements. Prepared statements are normally executed through a non-SQL binary protocol for efficiency and protection from SQL injection, but with some DBMSs such as MySQL prepared statements are also available using a SQL syntax for debugging purposes.

  4. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    C/C++, Python, R, Java, Go, Rust, Node.js, Wasm, ODBC, ADBC, and more [2] Open source (MIT License) DuckDB is an in-process database system designed for high performance for analytical query workloads offers client APIs for a wide range of languages. Exasol: Exasol AG 2000 JDBC, ODBC, ADO.NET, Python, SQL, R, Go, Rest API [3] Proprietary

  5. MySQL Workbench - Wikipedia

    en.wikipedia.org/wiki/MySQL_Workbench

    MySQL Workbench now uses ANTLR4 as backend parser and has a new auto-completion engine that works with object editors (triggers, views, stored procedures, and functions) in the visual SQL editor and in models. The new versions add support for new language features in MySQL 8.0, such as common-table expressions and roles.

  6. MySQL - Wikipedia

    en.wikipedia.org/wiki/MySQL

    MySQL (/ ˌ m aɪ ˌ ɛ s ˌ k juː ˈ ɛ l /) [6] is an open-source relational database management system (RDBMS). [6] [7] Its name is a combination of "My", the name of co-founder Michael Widenius's daughter My, [1] and "SQL", the acronym for Structured Query Language.

  7. Having (SQL) - Wikipedia

    en.wikipedia.org/wiki/Having_(SQL)

    If a query contains GROUP BY, rows from the tables are grouped and aggregated. After the aggregating operation, HAVING is applied, filtering out the rows that don't match the specified conditions. Therefore, WHERE applies to data read from tables, and HAVING should only apply to aggregated data, which isn't known in the initial stage of a query.

  8. Embedded database - Wikipedia

    en.wikipedia.org/wiki/Embedded_database

    The Embedded MySQL Server Library provides most of the features of regular MySQL as a linkable library that can be run in the context of a client process. After initialization, clients can use the same C API calls as when talking to a separate MySQL server but with less communication overhead and with no need for a separate database process.

  9. Table (database) - Wikipedia

    en.wikipedia.org/wiki/Table_(database)

    In a database, a table is a collection of related data organized in table format; consisting of columns and rows.. In relational databases, and flat file databases, a table is a set of data elements (values) using a model of vertical columns (identifiable by name) and horizontal rows, the cell being the unit where a row and column intersect. [1]