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SQL:2023

In this article we are going to explore and analyze SQL:2023 from different perspectives and approaches. SQL:2023 is a topic that has aroused the interest of many people over the years, and in this article we are going to delve into its importance and relevance in today's society. From its impact on popular culture to its influence in different areas of daily life, SQL:2023 has generated debate and reflection in different sectors. Through this article, we hope to offer a complete and enriching insight into SQL:2023, providing our readers with a deeper and more meaningful understanding of this topic.

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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

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 (SQL/PGQ)”,[2] has been added to the SQL standard.
  • 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)

SQL/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

Wikibooks has a book on the topic of: Structured Query Language

References

  1. ^ Eisentraut, Peter (4 April 2023). "SQL:2023 is finished: Here is what's new" (World wide web log). Retrieved 2024-11-08.
  2. ^ "Database languages SQL — Part 16: Property Graph Queries (SQL/PGQ)". ISO/IEC 9075-16:2023 Information technology. ISO. 2023. Retrieved 2023-06-05.
  3. ^ "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.
  4. ^ Eisentraut 2023.
  5. ^ 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.
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