DDSQL Data Types

Cette page n'est pas encore disponible en français, sa traduction est en cours.
Si vous avez des questions ou des retours sur notre projet de traduction actuel, n'hésitez pas à nous contacter.
Join the Beta!

DDSQL is in private beta.

Request Access

Data types

DDSQL implements a simplified version of the SQL type system that is mostly descended from PostgreSQL.

Base types

SQL nameAliasesDescription
integerintStorage is always int64.
textchar, varchar, stringStorage is always an unlimited length UTF-8.
realdouble, decimalStorage is always IEEE-754 float64.
timestamptimestamp without time zoneSQL standard datetime type.
dateTimestamp with resolution on a day level.
intervalDuration of time.
grouphstore, tag_columnSorted set of strings with tag-like “= is contains” semantics.
booleanTRUE or FALSE
jsonJSON data

Arrays

Arrays are an ordered collection of a specific base type. Each base type can have a corresponding array type.

Literals

The table below contains examples on how to declare literals for each type, for use in expressions like SELECT <LITERAL> or in comparisons like WHERE timestamp > timestamp '1 hr ago'.

NameExample
integer1, 4, 23901239412, 0x4B1D
text'Hello, world'
real1.0, 1e30, 314e-2, .25, 5.
datedate <DATE_STRING> (where DATE_STRING is a string that can be parsed into a date, or a relative string like 1 day ago')
timestamptimestamp <TIMESTAMP_STRING> (where TIMESTAMP_STRING is a string that can be parsed into a timestamp, or a relative string like '1 day ago', 'now')
intervalinterval <INTERVAL> (where INTERVAL is a string that can be parsed into a interval, like 1 day, 30s, 2 min')
arraysarray<type>[values...]