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Postgres Changes

还没翻译译自英文（supabase.com）本页 283 段都还没译

Use Realtime's Postgres Changes to listen to database events.

Quick start

In this example we'll set up a database table, secure it with Row Level Security, and subscribe to all changes using the Supabase client libraries.

  1. Set up a Supabase project with a 'todos' table

    Create a new project in the Supabase Dashboard.

    After your project is ready, create a table in your Supabase database. You can do this with either the Table interface or the SQL Editor.

    -- Create a table called "todos"
-- with a column to store tasks.
create table todos (
  id serial primary key,
  task text
);

  2. Allow anonymous access

    In this example we'll turn on Row Level Security for this table and allow anonymous access. In production, be sure to secure your application with the appropriate permissions.

    -- Grant the privileges roles need
GRANT SELECT ON public.todos TO anon;

-- Turn on security
alter table "todos"
enable row level security;

-- Allow anonymous access
create policy "Allow anonymous access"
on todos
for select
to anon
using (true);

  3. Enable Postgres replication

    Go to your project's Publications settings, and under supabase_realtime, toggle on the tables you want to listen to.

    Alternatively, add tables to the supabase_realtime publication by running the given SQL:

    alter publication supabase_realtime
add table your_table_name;

  4. Install the client

    Install the Supabase JavaScript client.

    npm install @supabase/supabase-js

  5. Create the client

    This client will be used to listen to Postgres changes.

    import { createClient } from '@supabase/supabase-js'

const supabase = createClient(
  'https://<project>.supabase.co',
  '<sb_publishable_... key>'
)

  6. Listen to changes by schema

    Listen to changes on all tables in the public schema by setting the schema property to 'public' and event name to *. The event name can be one of:

    • INSERT
    • UPDATE
    • DELETE
    • *

    The channel name can be any string except 'realtime'.

    import { createClient } from '@supabase/supabase-js'
const supabase = createClient('your_project_url', 'your_supabase_api_key')

// ---cut---
const channelA = supabase
  .channel('schema-db-changes')
  .on(
    'postgres_changes',
    {
      event: '*',
      schema: 'public',
    },
    (payload) => console.log(payload)
  )
  .subscribe()

  7. Insert dummy data

    Now we can add some data to our table which will trigger the channelA event handler.

    insert into todos (task)
values
  ('Change!');

Usage

You can use the Supabase client libraries to subscribe to database changes.

Listening to specific schemas

Subscribe to specific schema events using the schema parameter:

const changes = supabase
  .channel('schema-db-changes')
  .on(
    'postgres_changes',
    {
      schema: 'public', // Subscribes to the "public" schema in Postgres
      event: '*',       // Listen to all changes
    },
    (payload) => console.log(payload)
  )
  .subscribe()
supabase
    .channel('schema-db-changes')
    .onPostgresChanges(
        schema: 'public', // Subscribes to the "public" schema in Postgres
        event: PostgresChangeEvent.all, // Listen to all changes

        callback: (payload) => print(payload))
    .subscribe();
let myChannel = await supabase.channel("schema-db-changes")

let changes = await myChannel.postgresChange(AnyAction.self, schema: "public")

await myChannel.subscribe()

for await change in changes {
  switch change {
  case .insert(let action): print(action)
  case .update(let action): print(action)
  case .delete(let action): print(action)
  case .select(let action): print(action)
  }
}
val myChannel = supabase.channel("schema-db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction>(schema = "public")

changes
    .onEach {
        when(it) { //You can also check for <is PostgresAction.Insert>, etc.. manually
            is HasRecord -> println(it.record)
            is HasOldRecord -> println(it.oldRecord)
            else -> println(it)
        }
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()
changes = supabase.channel('schema-db-changes').on_postgres_changes(
  "*",
  schema="public",
  callback=lambda payload: print(payload)
).subscribe()
var channel = supabase.Realtime.Channel("schema-db-changes");

// Subscribes to the "public" schema in Postgres
channel.Register(new PostgresChangesOptions("public"));
channel.AddPostgresChangeHandler(ListenType.All, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

The channel name can be any string except 'realtime'.

Listening to specific events

Use the event parameter to listen only to a specific database event. event can be INSERT, UPDATE, DELETE, or * to listen to all changes.

const changes = supabase
  .channel('schema-db-changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
    },
    (payload) => console.log(payload)
  )
  .subscribe()
const changes = supabase
  .channel('schema-db-changes')
  .on(
    'postgres_changes',
    {
      event: 'UPDATE',
      schema: 'public',
    },
    (payload) => console.log(payload)
  )
  .subscribe()
const changes = supabase
  .channel('schema-db-changes')
  .on(
    'postgres_changes',
    {
      event: 'DELETE',
      schema: 'public',
    },
    (payload) => console.log(payload)
  )
  .subscribe()
const changes = supabase
  .channel('schema-db-changes')
  .on(
    'postgres_changes',
    {
      event: '*',
      schema: 'public',
    },
    (payload) => console.log(payload)
  )
  .subscribe()
supabase
    .channel('schema-db-changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.insert,
        schema: 'public',
        callback: (payload) => print(payload))
    .subscribe();
supabase
    .channel('schema-db-changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.update,
        schema: 'public',
        callback: (payload) => print(payload))
    .subscribe();
supabase
    .channel('schema-db-changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.delete,
        schema: 'public',
        callback: (payload) => print(payload))
    .subscribe();
supabase
    .channel('schema-db-changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.all,
        schema: 'public',
        callback: (payload) => print(payload))
    .subscribe();

Pass the action type to select the event.

let myChannel = await supabase.channel("schema-db-changes")

let changes = await myChannel.postgresChange(InsertAction.self, schema: "public")

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}
let myChannel = await supabase.channel("schema-db-changes")

let changes = await myChannel.postgresChange(UpdateAction.self, schema: "public")

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}
let myChannel = await supabase.channel("schema-db-changes")

let changes = await myChannel.postgresChange(DeleteAction.self, schema: "public")

await myChannel.subscribe()

for await change in changes {
  print(change.oldRecord)
}
let myChannel = await supabase.channel("schema-db-changes")

let changes = await myChannel.postgresChange(AnyAction.self, schema: "public")

await myChannel.subscribe()

for await change in changes {
  switch change {
  case .insert(let action): print(action.record)
  case .update(let action): print(action.record)
  case .delete(let action): print(action.oldRecord)
  case .select(let action): print(action.record)
  }
}

Pass the action type to select the event.

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Insert>(schema = "public")

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()
val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Update>(schema = "public")

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()
val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Delete>(schema = "public")

changes
    .onEach {
        println(it.oldRecord)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()
val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction>(schema = "public")

changes
    .onEach {
        when (it) { //You can also check for <is PostgresAction.Insert>, etc.. manually
            is HasRecord -> println(it.record)
            is HasOldRecord -> println(it.oldRecord)
            else -> println(it)
        }
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()
changes = supabase.channel('schema-db-changes').on_postgres_changes(
  "INSERT",
  schema="public",
  callback=lambda payload: print(payload)
).subscribe()
changes = supabase.channel('schema-db-changes').on_postgres_changes(
  "UPDATE",
  schema="public",
  callback=lambda payload: print(payload)
).subscribe()
changes = supabase.channel('schema-db-changes').on_postgres_changes(
  "DELETE",
  schema="public",
  callback=lambda payload: print(payload)
).subscribe()
changes = supabase.channel('schema-db-changes').on_postgres_changes(
  "*",
  schema="public",
  callback=lambda payload: print(payload)
).subscribe()

Pass the ListenType to select the event.

var channel = supabase.Realtime.Channel("schema-db-changes");

channel.Register(new PostgresChangesOptions("public", eventType: ListenType.Inserts));
channel.AddPostgresChangeHandler(ListenType.Inserts, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();
var channel = supabase.Realtime.Channel("schema-db-changes");

channel.Register(new PostgresChangesOptions("public", eventType: ListenType.Updates));
channel.AddPostgresChangeHandler(ListenType.Updates, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();
var channel = supabase.Realtime.Channel("schema-db-changes");

channel.Register(new PostgresChangesOptions("public", eventType: ListenType.Deletes));
channel.AddPostgresChangeHandler(ListenType.Deletes, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();
var channel = supabase.Realtime.Channel("schema-db-changes");

channel.Register(new PostgresChangesOptions("public", eventType: ListenType.All));
channel.AddPostgresChangeHandler(ListenType.All, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

The channel name can be any string except 'realtime'.

Listening to specific tables

Subscribe to specific table events using the table parameter:

const changes = supabase
  .channel('table-db-changes')
  .on(
    'postgres_changes',
    {
      event: '*',
      schema: 'public',
      table: 'todos',
    },
    (payload) => console.log(payload)
  )
  .subscribe()
supabase
    .channel('table-db-changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.all,
        schema: 'public',
        table: 'todos',
        callback: (payload) => print(payload))
    .subscribe();
let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(AnyAction.self, schema: "public", table: "todos")

await myChannel.subscribe()

for await change in changes {
  switch change {
  case .insert(let action): print(action)
  case .update(let action): print(action)
  case .delete(let action): print(action)
  case .select(let action): print(action)
  }
}
val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction>(schema = "public") {
    table = "todos"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()
changes = supabase.channel('db-changes').on_postgres_changes(
  "UPDATE",
  schema="public",
  table="todos",
  callback=lambda payload: print(payload)
).subscribe()
var channel = supabase.Realtime.Channel("table-db-changes");

channel.Register(new PostgresChangesOptions("public", "todos"));
channel.AddPostgresChangeHandler(ListenType.All, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

The channel name can be any string except 'realtime'.

Listening to multiple changes

To listen to different events and schema/tables/filters combinations with the same channel:

const channel = supabase
  .channel('db-changes')
  .on(
    'postgres_changes',
    {
      event: '*',
      schema: 'public',
      table: 'messages',
    },
    (payload) => console.log(payload)
  )
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'users',
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('db-changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.all,
        schema: 'public',
        table: 'messages',
        callback: (payload) => print(payload))
    .onPostgresChanges(
        event: PostgresChangeEvent.insert,
        schema: 'public',
        table: 'users',
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let messageChanges = await myChannel.postgresChange(AnyAction.self, schema: "public", table: "messages")
let userChanges = await myChannel.postgresChange(InsertAction.self, schema: "public", table: "users")

await myChannel.subscribe()

val myChannel = supabase.channel("db-changes")
val messageChanges = myChannel.postgresChangeFlow<PostgresAction>(schema = "public") {
    table = "messages"
}
val userChanges = myChannel.postgresChangeFlow<PostgresAction.Insert>(schema = "public") {
    table = "users"
}
myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "*",
  schema="public",
  table="messages",
  callback=lambda payload: print(payload)
).on_postgres_changes(
  "INSERT",
  schema="public",
  table="users",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("db-changes");

channel.Register(new PostgresChangesOptions("public", "messages"));
channel.Register(new PostgresChangesOptions("public", "users", eventType: ListenType.Inserts));

channel.AddPostgresChangeHandler(ListenType.All, (sender, change) => Console.WriteLine(change.Payload));
channel.AddPostgresChangeHandler(ListenType.Inserts, (sender, change) => Console.WriteLine(change.Payload));

await channel.Subscribe();

Filtering for specific changes

Use the filter parameter for granular changes:

const changes = supabase
  .channel('table-filter-changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'todos',
      filter: 'id=eq.1',
    },
    (payload) => console.log(payload)
  )
  .subscribe()

  supabase
      .channel('table-filter-changes')
      .onPostgresChanges(
          event: PostgresChangeEvent.insert,
          schema: 'public',
          table: 'todos',
          filter: PostgresChangeFilter(
            type: PostgresChangeFilterType.eq,
            column: 'id',
            value: 1,
          ),
          callback: (payload) => print(payload))
      .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  InsertAction.self,
  schema: "public",
  table: "todos",
  filter: .eq("id", value: 1)
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Insert>(schema = "public") {
    table = "todos"
    filter = "id=eq.1"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "INSERT",
  schema="public",
  table="todos",
  filter="id=eq.1",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("table-filter-changes");

channel.Register(new PostgresChangesOptions("public", "todos", ListenType.Inserts, "id=eq.1"));
channel.AddPostgresChangeHandler(ListenType.Inserts, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

Available filters

Realtime offers filters so you can specify the data your client receives at a more granular level. A filter is a column=operator.value expression (for example id=eq.1 or title=like.%foo%) that Realtime evaluates on the server, so filtered-out events never leave the database.

The following operators are available:

OperatorMatches when the column…Example
eqequals the valueid=eq.1
neqdoes not equal the valuestatus=neq.done
lt / lteis less than / less than or equal toage=lt.65
gt / gteis greater than / greater than or equal toquantity=gte.10
inis one of a list (max 100 values)name=in.(red,blue)
like / ilikematches a pattern (case-sensitive / insensitive)title=like.%foo%
match / imatchmatches a POSIX regex (case-sensitive / insensitive)slug=match.^post-
isIS null / true / false / unknowndeleted_at=is.null
isdistinctis distinct from the value (NULL-safe !=)state=isdistinct.active

You can also negate any operator with not. and combine multiple conditions with commas (applied as an AND).

Note

In JavaScript you can pass a raw filter string, or build one with the type-safe postgresChangesFilter() helper, which handles operator names, negation, AND composition, and escaping for you:

import { postgresChangesFilter } from '@supabase/supabase-js'

// → 'quantity=gte.10,status=eq.open'
const filter = postgresChangesFilter().gte('quantity', 10).eq('status', 'open')

Equal to (eq)

To listen to changes when a column's value in a table equals a client-specified value:

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'UPDATE',
      schema: 'public',
      table: 'messages',
      filter: postgresChangesFilter().eq('body', 'hey'),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'UPDATE',
      schema: 'public',
      table: 'messages',
      filter: 'body=eq.hey',
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.update,
        schema: 'public',
        table: 'messages',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.eq,
          column: 'body',
          value: 'hey',
        ),
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  UpdateAction.self,
  schema: "public",
  table: "messages",
  filter: .eq("body", value: "hey")
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Update>(schema = "public") {
    table = "messages"
    filter = "body=eq.hey"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "UPDATE",
  schema="public",
  table="messages",
  filter="body=eq.hey",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "messages", ListenType.Updates, "body=eq.hey"));
channel.AddPostgresChangeHandler(ListenType.Updates, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

This filter uses Postgres's = filter.

Not equal to (neq)

To listen to changes when a column's value in a table does not equal a client-specified value:

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'messages',
      filter: postgresChangesFilter().neq('body', 'bye'),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'messages',
      filter: 'body=neq.bye',
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.insert,
        schema: 'public',
        table: 'messages',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.neq,
          column: 'body',
          value: 'bye',
        ),
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  UpdateAction.self,
  schema: "public",
  table: "messages",
  filter: .neq("body", value: "hey")
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.realtime.createChannel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Update>(schema = "public") {
    table = "messages"
    filter = "body=neq.bye"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

supabase.realtime.connect()
myChannel.join()

changes = supabase.channel('db-changes').on_postgres_changes(
  "INSERT",
  schema="public",
  table="messages",
  filter="body=neq.bye",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "messages", ListenType.Inserts, "body=neq.bye"));
channel.AddPostgresChangeHandler(ListenType.Inserts, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

This filter uses Postgres's != filter.

Less than (lt)

To listen to changes when a column's value in a table is less than a client-specified value:

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'profiles',
      filter: postgresChangesFilter().lt('age', 65),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'profiles',
      filter: 'age=lt.65',
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.insert,
        schema: 'public',
        table: 'profiles',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.lt,
          column: 'age',
          value: 65,
        ),
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  InsertAction.self,
  schema: "public",
  table: "profiles",
  filter: .lt("age", value: 65)
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Insert>(schema = "public") {
    table = "profiles"
    filter = "age=lt.65"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "INSERT",
  schema="public",
  table="profiles",
  filter="age=lt.65",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "profiles", ListenType.Inserts, "age=lt.65"));
channel.AddPostgresChangeHandler(ListenType.Inserts, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

This filter uses Postgres's < filter, so it works for non-numeric types. Make sure to check the expected behavior of the compared data's type.

Less than or equal to (lte)

To listen to changes when a column's value in a table is less than or equal to a client-specified value:

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'UPDATE',
      schema: 'public',
      table: 'profiles',
      filter: postgresChangesFilter().lte('age', 65),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'UPDATE',
      schema: 'public',
      table: 'profiles',
      filter: 'age=lte.65',
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.insert,
        schema: 'public',
        table: 'profiles',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.lte,
          column: 'age',
          value: 65,
        ),
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  InsertAction.self,
  schema: "public",
  table: "profiles",
  filter: .lte("age", value: 65)
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Update>(schema = "public") {
    table = "profiles"
    filter = "age=lte.65"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "UPDATE",
  schema="public",
  table="profiles",
  filter="age=lte.65",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "profiles", ListenType.Updates, "age=lte.65"));
channel.AddPostgresChangeHandler(ListenType.Updates, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

This filter uses Postgres' <= filter, so it works for non-numeric types. Make sure to check the expected behavior of the compared data's type.

Greater than (gt)

To listen to changes when a column's value in a table is greater than a client-specified value:

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'products',
      filter: postgresChangesFilter().gt('quantity', 10),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'products',
      filter: 'quantity=gt.10',
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.insert,
        schema: 'public',
        table: 'products',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.gt,
          column: 'quantity',
          value: 10,
        ),
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  InsertAction.self,
  schema: "public",
  table: "products",
  filter: .gt("quantity", value: 10)
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Update>(schema = "public") {
    table = "products"
    filter = "quantity=gt.10"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "UPDATE",
  schema="public",
  table="products",
  filter="quantity=gt.10",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "products", ListenType.Inserts, "quantity=gt.10"));
channel.AddPostgresChangeHandler(ListenType.Inserts, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

This filter uses Postgres's > filter, so it works for non-numeric types. Make sure to check the expected behavior of the compared data's type.

Greater than or equal to (gte)

To listen to changes when a column's value in a table is greater than or equal to a client-specified value:

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'products',
      filter: postgresChangesFilter().gte('quantity', 10),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'products',
      filter: 'quantity=gte.10',
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.insert,
        schema: 'public',
        table: 'products',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.gte,
          column: 'quantity',
          value: 10,
        ),
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  InsertAction.self,
  schema: "public",
  table: "products",
  filter: .gte("quantity", value: 10)
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Update>(schema = "public") {
    table = "products"
    filter = "quantity=gte.10"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "UPDATE",
  schema="public",
  table="products",
  filter="quantity=gte.10",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "products", ListenType.Inserts, "quantity=gte.10"));
channel.AddPostgresChangeHandler(ListenType.Inserts, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

This filter uses Postgres's >= filter, so it works for non-numeric types. Make sure to check the expected behavior of the compared data's type.

Contained in list (in)

To listen to changes when a column's value in a table equals any client-specified values:

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'colors',
      filter: postgresChangesFilter().in('name', ['red', 'blue', 'yellow']),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'colors',
      filter: 'name=in.(red,blue,yellow)',
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.insert,
        schema: 'public',
        table: 'colors',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.inFilter,
          column: 'name',
          value: ['red', 'blue', 'yellow'],
        ),
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  InsertAction.self,
  schema: "public",
  table: "products",
  filter: .in("name", values: ["red", "blue", "yellow"])
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Update>(schema = "public") {
    table = "products"
    filter = "name=in.(red,blue,yellow)"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "UPDATE",
  schema="public",
  table="products",
  filter="name=in.(red,blue,yellow)",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "colors", ListenType.Inserts, "name=in.(red,blue,yellow)"));
channel.AddPostgresChangeHandler(ListenType.Inserts, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

This filter uses Postgres's = ANY. Realtime allows a maximum of 100 values for this filter.

Pattern matching (like, ilike)

To listen to changes when a text column matches a pattern, use like (case-sensitive) or ilike (case-insensitive). Use % to match any sequence of characters and _ to match a single character.

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'articles',
      // matches "Breaking News", "BREAKING", ...
      filter: postgresChangesFilter().ilike('title', '%breaking%'),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'articles',
      filter: 'title=ilike.%breaking%', // matches "Breaking News", "BREAKING", ...
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.insert,
        schema: 'public',
        table: 'articles',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.ilike,
          column: 'title',
          value: '%breaking%',
        ),
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  InsertAction.self,
  schema: "public",
  table: "articles",
  filter: .ilike("title", value: "%breaking%")
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Insert>(schema = "public") {
    table = "articles"
    filter = "title=ilike.%breaking%"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "INSERT",
  schema="public",
  table="articles",
  filter="title=ilike.%breaking%",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "articles", ListenType.Inserts, "title=ilike.%breaking%"));
channel.AddPostgresChangeHandler(ListenType.Inserts, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

like uses Postgres's LIKE and ilike uses ILIKE. Both require a text-compatible column. The examples above use ilike; swap in like for case-sensitive matching—usage is otherwise identical.

Regular expression matching (match, imatch)

To listen to changes when a text column matches a POSIX regular expression, use match (case-sensitive) or imatch (case-insensitive).

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'posts',
      // matches "post-1", "post-42", ...
      filter: postgresChangesFilter().match('slug', '^post-\\d+$'),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'posts',
      filter: 'slug=match.^post-\\d+$', // matches "post-1", "post-42", ...
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.insert,
        schema: 'public',
        table: 'posts',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.match,
          column: 'slug',
          value: r'^post-\d+$',
        ),
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  InsertAction.self,
  schema: "public",
  table: "posts",
  filter: .match("slug", value: "^post-\\d+$")
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Insert>(schema = "public") {
    table = "posts"
    filter = "slug=match.^post-\\d+$"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "INSERT",
  schema="public",
  table="posts",
  filter="slug=match.^post-\\d+$",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "posts", ListenType.Inserts, @"slug=match.^post-\d+$"));
channel.AddPostgresChangeHandler(ListenType.Inserts, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

match uses Postgres's ~ operator and imatch uses ~*. Both require a text-compatible column, and the pattern is validated when you subscribe. The examples above use match; swap in imatch for case-insensitive matching—usage is otherwise identical.

Null and boolean checks (is)

To listen to changes when a column IS null, true, false, or unknown, use is. is.null works on any column type; is.true, is.false, and is.unknown require a boolean column.

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'UPDATE',
      schema: 'public',
      table: 'todos',
      // only rows that are not yet completed
      filter: postgresChangesFilter().is('completed_at', null),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'UPDATE',
      schema: 'public',
      table: 'todos',
      filter: 'completed_at=is.null', // only rows that are not yet completed
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.update,
        schema: 'public',
        table: 'todos',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.isFilter,
          column: 'completed_at',
          value: null,
        ),
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  UpdateAction.self,
  schema: "public",
  table: "todos",
  filter: .is("completed_at", value: .null)
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Update>(schema = "public") {
    table = "todos"
    filter = "completed_at=is.null"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "UPDATE",
  schema="public",
  table="todos",
  filter="completed_at=is.null",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "todos", ListenType.Updates, "completed_at=is.null"));
channel.AddPostgresChangeHandler(ListenType.Updates, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

This filter uses Postgres's IS operator.

Distinct from (isdistinct)

isdistinct is a NULL-safe inequality (IS DISTINCT FROM). Unlike neq, it treats null as a comparable value, so a null column is considered distinct from a non-null value.

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'UPDATE',
      schema: 'public',
      table: 'orders',
      // includes rows where status is null
      filter: postgresChangesFilter().isDistinct('status', 'shipped'),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'UPDATE',
      schema: 'public',
      table: 'orders',
      filter: 'status=isdistinct.shipped', // includes rows where status is null
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.update,
        schema: 'public',
        table: 'orders',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.isDistinct,
          column: 'status',
          value: 'shipped',
        ),
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  UpdateAction.self,
  schema: "public",
  table: "orders",
  filter: .isDistinct("status", value: "shipped")
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Update>(schema = "public") {
    table = "orders"
    filter = "status=isdistinct.shipped"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "UPDATE",
  schema="public",
  table="orders",
  filter="status=isdistinct.shipped",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "orders", ListenType.Updates, "status=isdistinct.shipped"));
channel.AddPostgresChangeHandler(ListenType.Updates, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

Negating a filter (not) [#negating-a-filter-not]

Prefix any operator with not. to invert it — for example not.in, not.is, or not.like.

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: '*',
      schema: 'public',
      table: 'posts',
      // anything except drafts and archived
      filter: postgresChangesFilter().not('status', 'in', ['draft', 'archived']),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: '*',
      schema: 'public',
      table: 'posts',
      filter: 'status=not.in.(draft,archived)', // anything except drafts and archived
    },
    (payload) => console.log(payload)
  )
  .subscribe()

Set negate: true on a PostgresChangeFilter to apply the not. prefix.

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.all,
        schema: 'public',
        table: 'posts',
        filter: PostgresChangeFilter(
          type: PostgresChangeFilterType.inFilter,
          column: 'status',
          value: ['draft', 'archived'],
          negate: true,
        ),
        callback: (payload) => print(payload))
    .subscribe();

Wrap any single-condition filter in .not(...).

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  AnyAction.self,
  schema: "public",
  table: "posts",
  filter: .not(.in("status", values: ["draft", "archived"]))
)

await myChannel.subscribe()

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction>(schema = "public") {
    table = "posts"
    filter = "status=not.in.(draft,archived)"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "*",
  schema="public",
  table="posts",
  filter="status=not.in.(draft,archived)",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "posts", ListenType.All, "status=not.in.(draft,archived)"));
channel.AddPostgresChangeHandler(ListenType.All, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

Combining filters with AND

Combine multiple conditions by separating them with commas. All conditions must match (logical AND). You can only combine conditions with AND — OR is not supported.

The builder composes conditions and escapes reserved characters for you.

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'orders',
      // amount > 100 AND status = "open"
      filter: postgresChangesFilter().gt('amount', 100).eq('status', 'open'),
    },
    (payload) => console.log(payload)
  )
  .subscribe()

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: 'INSERT',
      schema: 'public',
      table: 'orders',
      filter: 'amount=gt.100,status=eq.open', // amount > 100 AND status = "open"
    },
    (payload) => console.log(payload)
  )
  .subscribe()

Pass a list of filters to filters to combine them with AND.

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.insert,
        schema: 'public',
        table: 'orders',
        filters: [
          PostgresChangeFilter(
            type: PostgresChangeFilterType.gt,
            column: 'amount',
            value: 100,
          ),
          PostgresChangeFilter(
            type: PostgresChangeFilterType.eq,
            column: 'status',
            value: 'open',
          ),
        ],
        callback: (payload) => print(payload))
    .subscribe();

Use .and([...]) to combine multiple conditions.

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  InsertAction.self,
  schema: "public",
  table: "orders",
  filter: .and([
    .gt("amount", value: 100),
    .eq("status", value: "open"),
  ])
)

await myChannel.subscribe()

val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Insert>(schema = "public") {
    table = "orders"
    filter = "amount=gt.100,status=eq.open"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

changes = supabase.channel('db-changes').on_postgres_changes(
  "INSERT",
  schema="public",
  table="orders",
  filter="amount=gt.100,status=eq.open",
  callback=lambda payload: print(payload)
).subscribe()

var channel = supabase.Realtime.Channel("changes");

channel.Register(new PostgresChangesOptions("public", "orders", ListenType.Inserts, "amount=gt.100,status=eq.open"));
channel.AddPostgresChangeHandler(ListenType.Inserts, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

Note

Values that contain reserved characters (,, (, ), ", or \) must be double-quoted PostgREST-style so the server doesn't read them as condition or list boundaries — for example name=eq."Doe, Jane". The postgresChangesFilter() builder (JavaScript), PostgresChangeFilter (Dart), and RealtimePostgresFilter (Swift) apply this quoting for you.

Selecting specific columns

By default each change event contains the full row. Use select to receive only a subset of columns instead. This reduces payload size and the data transferred per event, which is especially useful for tables with large bytea, jsonb, or text columns.

The listed columns must be selectable by the subscribing role, and the table's primary key is always included so you can identify the row. select requires an explicit schema and table — it's not supported on wildcard subscriptions.

const channel = supabase
  .channel('changes')
  .on(
    'postgres_changes',
    {
      event: '*',
      schema: 'public',
      table: 'profiles',
      select: ['id', 'username'], // payload.new only contains { id, username }
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase
    .channel('changes')
    .onPostgresChanges(
        event: PostgresChangeEvent.all,
        schema: 'public',
        table: 'profiles',
        select: ['id', 'username'],
        callback: (payload) => print(payload))
    .subscribe();

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  AnyAction.self,
  schema: "public",
  table: "profiles",
  select: ["id", "username"]
)

await myChannel.subscribe()

changes = supabase.channel('changes').on_postgres_changes(
  "*",
  schema="public",
  table="profiles",
  select=["id", "username"],
  callback=lambda payload: print(payload)
).subscribe()

Receiving old records

By default, only new record changes are sent but if you want to receive the old record (previous values) whenever you UPDATE or DELETE a record, you can set the replica identity of your table to full:

alter table
  messages replica identity full;

Caution

RLS policies are not applied to DELETE statements, because there is no way for Postgres to verify that a user has access to a deleted record.

Private schemas

Postgres Changes works out of the box for tables in the public schema. You can listen to tables in your private schemas by granting table SELECT permissions to the database role found in your access token. You can run a query similar to the following:

grant select on "non_private_schema"."some_table" to authenticated;

Caution

We strongly encourage you to enable RLS and create policies for tables in private schemas. Otherwise, any role you grant access to will have unfettered read access to the table.

Custom tokens

You may choose to sign your own tokens to customize claims that can be checked in your RLS policies.

Your project JWT secret is found in the Settings > API keys section of the Dashboard.

Caution

Do not expose the service_role token on the client because the role is authorized to bypass row-level security.

To use your own JWT with Realtime make sure to set the token after instantiating the Supabase client and before connecting to a Channel.

const { createClient } = require('@supabase/supabase-js')

const supabase = createClient(process.env.SUPABASE_URL, process.env.SUPABASE_KEY, {})

// Set your custom JWT here
supabase.realtime.setAuth('your-custom-jwt')

const channel = supabase
  .channel('db-changes')
  .on(
    'postgres_changes',
    {
      event: '*',
      schema: 'public',
      table: 'messages',
      filter: 'body=eq.bye',
    },
    (payload) => console.log(payload)
  )
  .subscribe()

supabase.realtime.setAuth('your-custom-jwt');

supabase
    .channel('db-changes')
    .onPostgresChanges(
      event: PostgresChangeEvent.all,
      schema: 'public',
      table: 'messages',
      filter: PostgresChangeFilter(
        type: PostgresChangeFilterType.eq,
        column: 'body',
        value: 'bye',
      ),
      callback: (payload) => print(payload),
    )
    .subscribe();

await supabase.realtime.setAuth("your-custom-jwt")

let myChannel = await supabase.channel("db-changes")

let changes = await myChannel.postgresChange(
  UpdateAction.self,
  schema: "public",
  table: "products",
  filter: "name=in.(red,blue,yellow)"
)

await myChannel.subscribe()

for await change in changes {
  print(change.record)
}

val supabase = createSupabaseClient(supabaseUrl, supabaseKey) {
	install(Realtime) {
		jwtToken = "your-custom-jwt"
	}
}
val myChannel = supabase.channel("db-changes")

val changes = myChannel.postgresChangeFlow<PostgresAction.Update>(schema = "public") {
    table = "products"
    filter = "name=in.(red,blue,yellow)"
}

changes
    .onEach {
        println(it.record)
    }
    .launchIn(yourCoroutineScope)

myChannel.subscribe()

supabase.realtime.set_auth('your-custom-jwt')

changes = supabase.channel('db-changes').on_postgres_changes(
  "UPDATE",
  schema="public",
  table="products",
  filter="name=in.(red,blue,yellow)",
  callback=lambda payload: print(payload)
).subscribe()

// Set your custom JWT after instantiating the client and before subscribing to a channel
supabase.Realtime.SetAuth("your-custom-jwt");

var channel = supabase.Realtime.Channel("db-changes");

channel.Register(new PostgresChangesOptions("public", "messages", ListenType.All, "body=eq.bye"));
channel.AddPostgresChangeHandler(ListenType.All, (sender, change) =>
{
    Console.WriteLine(change.Payload);
});

await channel.Subscribe();

Limitations

Delete events

You can only filter Delete events when tracking Postgres Changes if the table has the replica identity set to full. See Receiving old records.

Scaling Postgres Changes

Postgres Changes authorizes every event against each subscriber. When you make a single change to a table with 100 subscribed users, Realtime performs 100 authorization checks — one per user — so throughput scales with the number of subscribers, not the write rate. Changes are also processed on a single thread to preserve their order, which means larger compute add-ons don't meaningfully increase Postgres Changes throughput.

For most applications this is plenty. To get the best performance:

Use the estimator below to gauge the maximum throughput for your instance, and run your own benchmarks to confirm it fits your use case:

Interactive on supabase.com

This part of the page is a Realtime limits estimator (RealtimeLimitsEstimator), which supabase.com draws live. See it on the original page.

Note

If you expect more than ~3,000 concurrent subscribers on the same changes, use Broadcast to stream database changes instead. Broadcast sends each change once and fans it out to all subscribers, so it scales to far higher connection counts than per-subscriber authorization allows.

If you're unsure which approach fits your use case, reach out through the Support Form — our engineers are happy to help you find the best solution.

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