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SQL-92 was the third revision of the SQL ... New data types defined: DATE, TIME, TIMESTAMP ... New operations for changing data types on the fly via CAST ...
SQL provides the functions CEILING and FLOOR to round numerical values. (Popular vendor specific functions are TRUNC (Informix, DB2, PostgreSQL, Oracle and MySQL) and ROUND (Informix, SQLite, Sybase, Oracle, PostgreSQL, Microsoft SQL Server and Mimer SQL.)) Temporal (datetime) DATE: for date values (e.g. 2011-05-03). TIME: for time values (e.g ...
In very early versions of the SQL standard the return code was called SQLCODE and used a different coding schema. The following table lists the standard-conforming values - based on SQL:2011 . [ 1 ] The table's last column shows the part of the standard that defines the row.
DATETIME date range is 0001-01-01 00:00:00.00000 through 9999-12-31 23:59:59.99999. ... This appears like any other schema in the database according to the SQL ...
In the C family of languages and ALGOL 68, the word cast typically refers to an explicit type conversion (as opposed to an implicit conversion), causing some ambiguity about whether this is a re-interpretation of a bit-pattern or a real data representation conversion. More important is the multitude of ways and rules that apply to what data ...
In communications messages, a date-time group (DTG) is a set of characters, usually in a prescribed format, used to express the year, the month, the day of the month, the hour of the day, the minute of the hour, and the time zone, if different from Coordinated Universal Time (UTC).
DataDirect provide XQJ adapters for relational databases, by translating XQuery code into SQL on the fly, then converting SQL result sets into a format suitable for XQJ to process further. The following is a couple of known implementations. Oracle DB (Not XDB) IBM Db2; Microsoft SQL Server; Sybase ASE; Informix; MySQL; PostgreSQL
XPath 3.1 [12] is an expression language that allows the processing of values conforming to the XDM [13] data model. The version 3.1 of XPath supports JSON as well as XML. jq is like sed for JSON data – it can be used to slice and filter and map and transform structured data.