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SQL-92 was the third revision of the SQL database query language. Unlike SQL-89, it was a major revision of the standard. Aside from a few minor incompatibilities, the SQL-89 standard is forward-compatible with SQL-92. The standard specification itself grew about five times compared to SQL-89.
This list includes SQL reserved words – aka SQL reserved keywords, [1] [2] as the SQL:2023 specifies and some RDBMSs have added. Reserved words in SQL and related products In SQL:2023 [ 3 ]
The format dd.mm.yyyy using dots (which denote ordinal numbering) is the traditional German date format, [65] and continues to be the most commonly used. In 1996, the international format yyyy-mm-dd was made the official date format in standardized contexts such as government, education, engineering and sciences.
Title Authors ----- ----- SQL Examples and Guide 4 The Joy of SQL 1 An Introduction to SQL 2 Pitfalls of SQL 1 Under the precondition that isbn is the only common column name of the two tables and that a column named title only exists in the Book table, one could re-write the query above in the following form:
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
SQL:2023 includes new and updated features. [1] The changes can be grouped into three main areas: Property graph queries, a graph query language built on top of SQL The new part 16, “Property Graph Queries ”, [2] has been added to the SQL standard. New features related to JSON [3] JSON data type (T801) Enhanced JSON data type (T802)
Ongoing maintenance of date formats may one day be carried out by bots on articles already tagged with templates ({{use dmy dates}} or {{use mdy dates}}) which help to identify the correct format. Potentially ambiguous dates, using slashes or full stops (6/7/1961, 12/07/1986, 6.7.1961, 12.07.1986) are re-appearing on some thousands of pages ...
Query rewriting is a typically automatic transformation that takes a set of database tables, views, and/or queries, usually indices, often gathered data and query statistics, and other metadata, and yields a set of different queries, which produce the same results but execute with better performance (for example, faster, or with lower memory use). [1]