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Data types
DDSQL implements a simplified version of the SQL type system that is mostly descended from PostgreSQL.
Base types
| SQL name | Aliases | Description |
|---|
| integer | int | Storage is always int64. |
| text | char, varchar, string | Storage is always an unlimited length UTF-8. |
| real | double, decimal | Storage is always IEEE-754 float64. |
| timestamp | timestamp without time zone | SQL standard datetime type. |
| date | | Timestamp with resolution on a day level. |
| interval | | Duration of time. |
| group | hstore, tag_column | Sorted set of strings with tag-like “= is contains” semantics. |
| boolean | | TRUE or FALSE |
| json | | JSON 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'.
| Name | Example |
|---|
| integer | 1, 4, 23901239412, 0x4B1D |
| text | 'Hello, world' |
| real | 1.0, 1e30, 314e-2, .25, 5. |
| date | date <DATE_STRING> (where DATE_STRING is a string that can be parsed into a date, or a relative string like 1 day ago') |
| timestamp | timestamp <TIMESTAMP_STRING> (where TIMESTAMP_STRING is a string that can be parsed into a timestamp, or a relative string like '1 day ago', 'now') |
| interval | interval <INTERVAL> (where INTERVAL is a string that can be parsed into a interval, like 1 day, 30s, 2 min') |
| arrays | array<type>[values...] |
