Computed fields¶
Table of contents
What are computed fields?¶
Computed fields are virtual values or objects that are dynamically computed and can be queried along with a table/view’s columns. Computed fields are computed when requested for via custom SQL functions (a.k.a. stored procedures) using other columns of the table/view and other custom inputs if needed.
Note
Computed fields are only exposed over the GraphQL API and the database schema is not modified on addition of a computed field.
Supported SQL functions¶
Only functions which satisfy the following constraints can be added as a computed field to a table/view. (terminology from Postgres docs):
- Function behaviour: ONLY
STABLE
orIMMUTABLE
- Argument modes: ONLY
IN
- Table Argument: One input argument with a table row type
- Return type: Either
SETOF <table-name>
orBASE
type
Note
Functions used as computed fields can also accept other arguments other than the mandatory table row argument. Values for these extra arguments can be passed as arguments to the computed field in the GraphQL API.
Computed field types¶
Based on the SQL function’s return type, we can define two types of computed fields:
1. Scalar computed fields¶
Computed fields whose associated SQL function returns a base type like Integer, Boolean, Geography etc. are scalar computed fields.
Example:
Let’s say we have the following schema:
authors(id integer, first_name text, last_name text)
Define an SQL function called author_full_name
:
CREATE FUNCTION author_full_name(author_row authors)
RETURNS TEXT AS $$
SELECT author_row.first_name || ' ' || author_row.last_name
$$ LANGUAGE sql STABLE;
Add a computed field called full_name
to the authors
table using the SQL function above.
Query data from the authors
table:
query {
authors {
id
first_name
last_name
full_name
}
}
2. Table computed fields¶
Computed fields whose associated SQL function returns SETOF <table-name>
are table computed fields.
The return table must be tracked to define such a computed field.
Example:
Let’s say we have the following schema:
authors(id integer, first_name text, last_name text)
articles(id integer, title text, content text, author_id integer)
Now we can define a table relationship on the authors
table to fetch authors along with their articles.
We can make use of computed fields to fetch the author’s articles with a search parameter.
Define an SQL function called filter_author_articles
:
CREATE FUNCTION filter_author_articles(author_row authors, search text)
RETURNS SETOF articles AS $$
SELECT *
FROM articles
WHERE
( title ilike ('%' || search || '%')
OR content ilike ('%' || search || '%')
) AND author_id = author_row.id
$$ LANGUAGE sql STABLE;
Add a computed field called filtered_articles
to the authors
table using the SQL function above.
Query data from the authors
table:
query {
authors {
id
first_name
last_name
filtered_articles(args: {search: "Hasura"}){
id
title
content
}
}
}
Adding a computed field to a table/view¶
Head to the Modify
tab of the table/view and click on the Add
button in the Computed fields
section:
Supported from
- Console support for tables is available in
v1.1.0
and above - Console support for views is available in
v1.3.0
and above
You can add a computed field in the tables.yaml
file inside the metadata
directory:
- table:
schema: public
name: authors
computed_fields:
- name: full_name
definition:
function:
schema: public
name: author_full_name
table_argument: null
comment: ""
Apply the metadata by running:
hasura metadata apply
A computed field can be added to a table/view using the add_computed_field metadata API:
POST /v1/query HTTP/1.1
Content-Type: application/json
X-Hasura-Role: admin
{
"type": "add_computed_field",
"args": {
"table": {
"name": "authors",
"schema": "public"
},
"name": "full_name",
"definition": {
"function": {
"name": "author_full_name",
"schema": "public"
},
"table_argument": "author_row"
}
}
}
Computed fields permissions¶
Access control to computed fields depends on the type of computed field.
- For scalar computed fields, permissions are managed similar to the columns permissions of the table.
- For table computed fields, the permissions set on the return table are respected.
Accessing Hasura session variables in computed fields¶
It can be useful to have access to the session variable from the SQL function defining a computed field.
For instance, suppose we want to record which users have liked which articles. We can do so using a table
article_likes
that specifies a many-to-many relationship between articles
and users
. In such a
case it can be useful to know if the current user has liked a specific article, and this information can be
exposed as a Boolean computed field on articles
.
Create a function with an argument for session variables and add it with the add_computed_field API with the
session_argument
key set. The session argument is a JSON object where keys are session variable names
(in lower case) and values are strings. Use the ->>
JSON operator to fetch the value of a session variable
as shown in the following example.
-- 'hasura_session' will be the session argument
CREATE OR REPLACE FUNCTION article_liked_by_user(article_row articles, hasura_session json)
RETURNS boolean AS $$
SELECT EXISTS (
SELECT 1
FROM article_likes A
WHERE A.user_id = hasura_session ->> 'x-hasura-user-id' AND A.article_id = article_row.id
);
$$ LANGUAGE sql STABLE;
POST /v1/query HTTP/1.1
Content-Type: application/json
X-Hasura-Role: admin
{
"type":"add_computed_field",
"args":{
"table":{
"name":"articles",
"schema":"public"
},
"name":"liked_by_user",
"definition":{
"function":{
"name":"article_liked_by_user",
"schema":"public"
},
"table_argument":"article_row",
"session_argument":"hasura_session"
}
}
}
query {
articles(where: {id: {_eq: 3}}) {
id
liked_by_user
}
}
Note
The specified session argument is not included in the argument options of the computed field in the GraphQL schema.
Supported from
This feature is available in v1.3.0
and above
Computed fields vs. Postgres generated columns¶
Postgres, from version 12
, is introducing Generated Columns.
The value of generated columns is also computed from other columns of a table. Postgres’ generated columns
come with their own limitations. Hasura’s computed fields are defined via an SQL function, which allows users
to define any complex business logic in a function. Generated columns will go together with computed fields where
Hasura treats generated columns as normal Postgres columns.