SQL:2023 or ISO/IEC 9075:2023 (under the general title "Information technology – Database languages – SQL") is the ninth edition of the ISO (1987) and ANSI (1986) standard for the SQL database query language. It was formally adopted in June 2023.
New features
editSQL: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
- New features related to JSON[3]
- JSON data type (T801)
- Enhanced JSON data type (T802)
- String-based JSON (T803)
- Hex integer literals in SQL/JSON path language (T840)
- SQL/JSON simplified accessor (T860–T864)
- SQL/JSON item methods (T865–T878)
- JSON comparison (T879–T882)
- Various smaller changes to the existing SQL language (all optional features):
- UNIQUE null treatment (F292)
- ORDER BY in grouped table (F868)
- GREATEST and LEAST (T054)
- String padding functions (T055)
- Multi-character TRIM function (T056)
- Optional string types maximum length (T081)
- Enhanced cycle mark values (T133)
- ANY_VALUE (T626)
- Underscores in numeric literals (T662)
Property Graph Queries (SQL/PGQ)
editSQL/PGQ reduces the difference in functionality between relational DBMSs and native graph DBMSs. Basically, this new feature makes it easier to query data in tables as if it were in a graph database, providing a possibly more intuitive alternative to writing complex join queries.[4]
In comparison, the GQL standard for graph DBMSs adds graph updates, querying multiple graphs, and queries that return a graph result rather than a binding table.[5]
See also
edit
References
edit- ^ Eisentraut, Peter (4 April 2023). "SQL:2023 is finished: Here is what's new" (World wide web log). Retrieved 2023-06-01.
- ^ "Database languages SQL — Part 16: Property Graph Queries (SQL/PGQ)". ISO/IEC 9075-16:2023 Information technology. ISO. 2023. Retrieved 2023-06-05.
- ^ "SQL: 2023 is Released – A Leap Forward in Data Management". Stack diary. 1 June 2023. Archived from the original on 2023-06-02. Retrieved 2023-06-02.
- ^ Eisentraut 2023.
- ^ ten Wolde, Daniel; Singh, Tavneet; Szárnyas, Gábor; Boncz, Peter (8 January 2023). "DuckPGQ: Efficient property graph queries in an analytical RDBMS". IR. NL: CWI. Retrieved 2023-06-02.
External links
edit- "SQL:2023", Catalogue (webshop), ISO.
- "ISO Standards Maintenance Portal", Digital artifacts (freely downloadable files), ISO.
 | This computing article is a stub. You can help Wikipedia by expanding it. |