Python: Delete data | Supabase Docs (original) (raw)

• Introduction

• Installing

• Initializing

• Database

• Fetch data

• Insert data

• Update data

• Upsert data

• Delete data

• Call a Postgres function

• Using filters

• Column is equal to a value

• Column is not equal to a value

• Column is greater than a value

• Column is greater than or equal to a value

• Column is less than a value

• Column is less than or equal to a value

• Column matches a pattern

• Column matches a case-insensitive pattern

• Column is a value

• Column is in an array

• Column contains every element in a value

• Contained by value

• Greater than a range

• Greater than or equal to a range

• Less than a range

• Less than or equal to a range

• Mutually exclusive to a range

• With a common element

• Match a string

• Match an associated value

• Don't match the filter

• Match at least one filter

• Match the filter

• Using modifiers

• Order the results

• Limit the number of rows returned

• Limit the query to a range

• Retrieve one row of data

• Retrieve zero or one row of data

• Retrieve as a CSV

• Using explain

• Auth

• Overview

• Create a new user

• Create an anonymous user

• Sign in a user

• Sign in with ID Token

• Sign in a user through OTP

• Sign in a user through OAuth

• Sign in a user through SSO

• Sign out a user

• Send a password reset request

• Verify and log in through OTP

• Retrieve a session

• Retrieve a new session

• Retrieve a user

• Update a user

• Retrieve identities linked to a user

• Link an identity to a user

• Unlink an identity from a user

• Send a password reauthentication nonce

• Resend an OTP

• Set the session data

• Exchange an auth code for a session

• Auth MFA

• Enroll a factor

• Create a challenge

• Verify a challenge

• Create and verify a challenge

• Unenroll a factor

• Get Authenticator Assurance Level

• Auth Admin

• Retrieve a user

• List all users

• Create a user

• Delete a user

• Send an email invite link

• Generate an email link

• Update a user

• Delete a factor for a user

• Edge Functions

• Invokes a Supabase Edge Function.

• Realtime

• Subscribe to channel

• Unsubscribe from a channel

• Unsubscribe from all channels

• Retrieve all channels

• Broadcast a message

• Storage

• Create a bucket

• Retrieve a bucket

• List all buckets

• Update a bucket

• Delete a bucket

• Empty a bucket

• Upload a file

• Download a file

• List all files in a bucket

• Replace an existing file

• Move an existing file

• Copy an existing file

• Delete files in a bucket

• Create a signed URL

• Create signed URLs

• Create signed upload URL

• Upload to a signed URL

• Retrieve public URL

• delete() should always be combined with filters to target the item(s) you wish to delete.

• If you use delete() with filters and you have RLS enabled, only rows visible through SELECT policies are deleted. Note that by default no rows are visible, so you need at least one SELECT/ALL policy that makes the rows visible.

• When using delete().in_(), specify an array of values to target multiple rows with a single query. This is particularly useful for batch deleting entries that share common criteria, such as deleting users by their IDs. Ensure that the array you provide accurately represents all records you intend to delete to avoid unintended data removal.

Parameters

• count

(Optional)
The property to use to get the count of rows returned.

• returning

(Optional)
Either 'minimal' or 'representation'. Defaults to 'representation'.

Examples

Delete records

response = (
    supabase.table("countries")
    .delete()
    .eq("id", 1)
    .execute()
)

Delete multiple records

response = (
    supabase.table("countries")
    .delete()
    .in_("id", [1, 2, 3])
    .execute()
)