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Fetch data: select()

Performs vertical filtering with SELECT.

const { data, error } = await supabase
.from('cities')
.select()

Parameters#

  • columnsrequiredstring

    The columns to retrieve, separated by commas.

  • __namedParametersrequiredobject

    No description provided.

      Properties
    • headrequiredboolean

      When set to true, select will void data.

    • countrequirednull | exact | planned | estimated

      Count algorithm to use to count rows in a table.

Notes#

  • By default, Supabase projects will return a maximum of 1,000 rows. This setting can be changed in Project API Settings. It's recommended that you keep it low to limit the payload size of accidental or malicious requests. You can use range() queries to paginate through your data.
  • select() can be combined with Modifiers
  • select() can be combined with Filters

Examples#

Getting your data#

const { data, error } = await supabase
.from('cities')
.select()

Selecting specific columns#

You can select specific fields from your tables.

const { data, error } = await supabase
.from('cities')
.select('name')

Query foreign tables#

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

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:

const { data, error } = await supabase
.from('products')
.select(`
id,
supplier:supplier_id ( name ),
purchaser:purchaser_id ( name )
`)

Filtering with inner joins#

If you want to filter a table based on a child table's values you can use the !inner() function. For example, if you wanted to select all rows in a message table which belong to a user with the username "Jane":

const { data, error } = await supabase
.from('messages')
.select('*, users!inner(*)')
.eq('users.username', 'Jane')

Querying with count option#

You can get the number of rows by using the count option. Allowed values for count option are null, exact, planned and estimated.

const { data, error, count } = await supabase
.from('cities')
.select('name', { count: 'exact' }) // if you don't want to return any rows, you can use { count: 'exact', head: true }

Querying 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.

const { data, error } = await supabase
.from('users')
.select(`
id, name,
address->street
`)
.eq('address->postcode', 90210)

Return data as CSV#

By default the data is returned in JSON format, however you can also request for it to be returned as Comma Separated Values.

const { data, error } = await supabase
.from('users')
.select()
.csv()

Aborting requests in-flight#

You can use an AbortController to abort requests. Note that status and statusText doesn't mean anything for aborted requests, since the request wasn't actually fulfilled.

const ac = new AbortController()
supabase
.from('very_big_table')
.select()
.abortSignal(ac.signal)
.then(console.log)
ac.abort()
// {
// error: {
// message: 'FetchError: The user aborted a request.',
// details: '',
// hint: '',
// code: ''
// },
// data: null,
// body: null,
// count: null,
// status: 400,
// statusText: 'Bad Request'
// }