Fetch data: select()

Performs horizontal filtering with SELECT.

• JavaScript
• Python

const { data, error } = await supabase

.from('cities')

.select()

Parameters

• columnsrequiredstring

  The columns to retrieve, separated by commas.

Notes

• select() can be combined with Modifiers
• select() can be combined with Filters

Examples

Getting your data

• JavaScript
• Python

const { data, error } = await supabase

.from('cities')

.select()

Selecting specific columns

You can select specific fields from your tables.

• JavaScript
• Python

const { data, error } = await supabase

.from('cities')

.select('name')

Query foreign tables

If your database has relationships, you can query related tables too.

• JavaScript
• Python

const { data, error } = await supabase

.from('countries')

.select(`

name,

cities (

name

)

`)

Query the same foreign table multiple times

Sometimes you will need to query the same foreign table twice. In this case, you can use the name of the joined column to identify which join you intend to use. For convenience, you can also give an alias for each column. For example, if we had a shop of products, and we wanted to get the supplier and the purchaser at the same time (both in the users) table:

• JavaScript
• Python

const { data, error } = await supabase

.from('products')

.select(`

id,

supplier:supplier_id ( name ),

purchaser:purchaser_id ( name )

`)

Quering JSON data

If you have data inside of a JSONB column, you can apply select and query filters to the data values. Postgres offers a number of operators for querying JSON data. Also see PostgREST docs for more details.

• JavaScript
• Python

const { data, error } = await supabase

.from('products')

.select(`

id,

supplier:supplier_id ( name ),

purchaser:purchaser_id ( name )

`)