Postgres: Supported types

Introduction

List of PostgreSQL types supported by the Hasura GraphQL engine with their equivalent Hasura types:

Name Aliases Description Hasura Type
bigint int8 signed eight-byte integer String
bigserial serial8 autoincrementing eight-byte integer String
bit [ (n) ]   fixed-length bit string Implicit
bit varying [ (n) ] varbit [ (n) ] variable-length bit string Implicit
boolean bool logical Boolean (true/false) Bool
box   rectangular box on a plane Implicit
bytea   binary data (“byte array”) Implicit
character [ (n) ] char [ (n) ] fixed-length character string Char
character varying [ (n) ] varchar [ (n) ] variable-length character string String
cidr   IPv4 or IPv6 network address Implicit
circle   circle on a plane Implicit
date   calendar date (year, month, day) Date
double precision float8 double precision floating-point number (8 bytes) Float
inet   IPv4 or IPv6 host address Implicit
integer int, int4 signed four-byte integer Int
interval [ fields ] [ (p) ]   time span Implicit
json   textual JSON data JSON
jsonb   binary JSON data, decomposed JSONB
line   infinite line on a plane Implicit
lseg   line segment on a plane Implicit
ltree   labels of data stored in a hierarchical tree-like structure Implicit
geometry   PostGIS Geometry type Geometry
geography   PostGIS Geography type Geography
macaddr   MAC (Media Access Control) address Implicit
macaddr8   MAC (Media Access Control) address (EUI-64 format) Implicit
money   currency amount Implicit
numeric [ (p, s) ] decimal [ (p, s) ] exact numeric of selectable precision Numeric
path   geometric path on a plane Implicit
pg_lsn   PostgreSQL Log Sequence Number Implicit
point   geometric point on a plane Implicit
polygon   closed geometric path on a plane Implicit
real float4 single precision floating-point number (4 bytes) Float
smallint int2 signed two-byte integer Int
smallserial serial2 autoincrementing two-byte integer Int
serial serial4 autoincrementing four-byte integer Int
text   variable-length character string String
time [ (p) ] [ without time zone ]   time of day (no time zone) Implicit
time [ (p) ] with time zone timetz time of day, including time zone Timetz
timestamp [ (p) ] [ without time zone ]   date and time (no time zone) Implicit
timestamp [ (p) ] with time zone timestamptz date and time, including time zone Timestamptz
tsquery   text search query Implicit
tsvector   text search document Implicit
txid_snapshot   user-level transaction ID snapshot Implicit
uuid   universally unique identifier Implicit
xml   XML data Implicit

Int

GraphQL default scalar with name Int.

E.g.

objects: [
  {
    int_col: 27
  }
]

Float

GraphQL custom scalar type with name float8.

E.g.

objects: [
  {
    float_col: 0.8
  }
]

Note

To avoid loss of data when retrieving IEEE 754 style data from the database, please refer to the GraphQL engine server flags reference for instructions on setting the extra_float_digits parameter, which has a bad default value in PostgreSQL 11 and older.

Numeric

GraphQL custom scalar type with name numeric.

E.g.

objects: [
  {
    numeric_col: 0.00000008
  }
]

Bool

GraphQL default Scalar with name Boolean. The Boolean scalar type represents true or false.

E.g.

objects: [
  {
    is_published: true
  }
]

Char

GraphQL custom scalar with name character. It is a String with single character.

E.g.

objects: [
  {
    char_column: "a"
  }
]

String

GraphQL default scalar with name String. The String scalar type represents textual data, represented as UTF-8 character sequences. The String type is most often used by GraphQL to represent free-form human-readable text.

E.g.

objects: [
  {
    name: "Raven"
  }
]

Date

GraphQL custom scalar with name date. Date (no time of day). Allowed values are yyyy-mm-dd.

E.g.

objects: [
  {
    date: "1996-03-15"
  }
]

Time with time zone

GraphQL custom scalar type with name timetz. Time of day only, with time zone. Allowed values should be of ISO8601 format (e.g. 17:30:15Z, 17:30:15+05:30, 17:30:15.234890+05:30).

E.g.

objects: [
  {
    time: "17:30:15+05:30"
  }
]

Timestamp with time zone

GraphQL custom scalar type with name timestamptz. Both date and time, with time zone. Allowed values should be of ISO8601 format (e.g. 2016-07-20T17:30:15Z, 2016-07-20T17:30:15+05:30, 2016-07-20T17:30:15.234890+05:30).

E.g.

objects: [
  {
    timestamptz_col: "2016-07-20T17:30:15+05:30"
  }
]

JSON

GraphQL custom scalar type with name json. It is a stringified json value.

E.g.

objects: [
  {
    json_col: "{ \"name\": \"raven\" }"
  }
]

JSONB

GraphQL custom scalar type with name jsonb. Value should be given through a variable of type jsonb.

E.g.

mutation insert_test($value : jsonb) {
  insert_test(
    objects: [
      {
        jsonb_col: $value
      }
    ]
  ) {
     affected_rows
     returning{
       jsonb_col
     }
  }
}

variables:

{
  "value": {
    "name": "raven"
  }
}

Geometry

GraphQL custom scalar type geometry is generated for a GEOMETRY column on a PostGIS enabled Postgres instance. Value should be given as GeoJSON.

E.g.

mutation insertGeometry($point: geometry!) {
  insert_test(
    objects: [{
      geometry_col: $point
    }]
  ) {
    affected_rows
    returning {
      geometry_col
    }
  }
}

variables:

{
  "point": {
    "type": "Point",
    "coordinates": [0, 0]
  }
}

Geography

GraphQL custom scalar type geography is generated for a GEOGRAPHY column on a PostGIS enabled Postgres instance. Value should be given as GeoJSON.

E.g.

mutation insertGeography($point: geography!) {
  insert_test(
    objects: [{
      geography_col: $point
    }]
  ) {
    affected_rows
    returning {
      geography_col
    }
  }
}

variables:

{
  "point": {
    "type": "Point",
    "coordinates": [0, 0]
  }
}

Implicitly Supported types

All Implicit types in the above table are implicitly supported by the GraphQL engine. You have to provide the value as a String.

E.g. For time without time zone type

In ISO 8601 format

objects: [
  {
    time_col: "04:05:06.789"
  }
]

E.g. For macaddr type

objects: [
  {
    macaddr_col: "08:00:2b:01:02:03"
  }
]

Note

You can learn more about PostgreSQL data types here.