Change Streams

New in version 3.6.

Change streams allow applications to access real-time data changes without the complexity and risk of tailing the oplog. Applications can use change streams to subscribe to all data changes on a collection and immediately react to them.

Important

Change stream is only available if "majority" read concern support is enabled (default).

Open A Change Stream

You can only open a change stream against replica sets or sharded clusters. For a sharded cluster, you must issue the open change stream operation against the mongos.

The replica set or the sharded cluster must use replica set protocol version 1 (pv1) and WiredTiger storage engine (can be encrypted).

The following example opens a change stream for a collection and iterates over the cursor to retrieve the change stream documents. While the connection to the MongoDB deployment remains open, the cursor remains open until one of the following occurs:

  • The cursor is explicitly closed.
  • An invalidate event occurs.
  • If the deployment is a sharded cluster, a shard removal may cause an open change stream cursor to close, and the closed change stream cursor may not be fully resumable.

The Python examples below assume that you have connected to a MongoDB replica set and have accessed a database that contains an inventory collection.

cursor = db.inventory.watch()
document = next(cursor)

The Java examples below assume that you have connected to a MongoDB replica set and have accessed a database that contains an inventory collection.

MongoCursor<ChangeStreamDocument<Document>> cursor = inventory.watch().iterator();
ChangeStreamDocument<Document> next = cursor.next();

The Node.js examples below assume that you have connected to a MongoDB replica set and have accessed a database that contains an inventory collection.

The following example uses stream to process the change events.

const collection = db.collection('inventory');
const changeStream = collection.watch();
changeStream.on('change', next => {
  // process next document
});

Alternatively, you can also use iterator to process the change events:

const changeStreamIterator = collection.watch();
const next = await changeStreamIterator.next();

The examples below assume that you have connected to a MongoDB replica set and have accessed a database that contains an inventory collection.

$changeStream = $db->inventory->watch();
$changeStream->rewind();

$firstChange = $changeStream->current();

$changeStream->next();

$secondChange = $changeStream->current();

The examples below assume that you have connected to a MongoDB replica set and have accessed a database that contains an inventory collection.

cursor = db.inventory.watch()
document = await cursor.next()

The C examples below assume that you have connected to a MongoDB replica set and have accessed a database that contains an inventory collection.

mongoc_collection_t *collection;
bson_t pipeline = BSON_INITIALIZER;
bson_t opts = BSON_INITIALIZER;
mongoc_change_stream_t *stream;
const bson_t *change;
bson_iter_t iter;
bson_error_t error;

collection = mongoc_database_get_collection (db, "inventory");
stream = mongoc_collection_watch (collection, &pipeline, NULL /* opts */);
mongoc_change_stream_next (stream, &change);
if (mongoc_change_stream_error_document (stream, &error, NULL)) {
   MONGOC_ERROR ("%s\n", error.message);
}

mongoc_change_stream_destroy (stream);

The C# examples below assume that you have connected to a MongoDB replica set and have accessed a database that contains an inventory collection.

var enumerator = inventory.Watch().ToEnumerable().GetEnumerator();
enumerator.MoveNext();
var next = enumerator.Current;
enumerator.Dispose();

The examples below assume that you have connected to a MongoDB replica set and have accessed a database that contains an inventory collection.

cursor = inventory.watch.to_enum
next_change = cursor.next

To retrieve the data change event notifications, iterate the change stream cursor.

Note

The lifecycle of an unclosed cursor is language-dependent.

See Change Events for more information on the change stream response document format.

Modify Change Stream Output

You can control change stream output by providing an array of one or more of the following pipeline stages when configuring the change stream:

You can control change stream output by providing an array of one or more of the following pipeline stages when configuring the change stream:

MongoClient mongoClient = new MongoClient( new MongoClientURI("mongodb://host1:port1,host2:port2..."));

// Select the MongoDB database and collection to open the change stream against

MongoDatabase db = mongoClient.getDatabase("myTargetDatabase");

MongoCollection<Document> collection = db.getCollection("myTargetCollection");

// Create $match pipeline stage.
List<Bson> pipeline = singletonList(Aggregates.match(Filters.or(
    Document.parse("{'fullDocument.username': 'alice'}"),
    Filters.in("operationType", asList("delete")))));

// Create the change stream cursor, passing the pipeline to the
// collection.watch() method

MongoCursor<Document> cursor = collection.watch(pipeline).iterator();

The pipeline list includes a single $match stage that filters any operations where the username is alice, or operations where the operationType is delete.

Passing the pipeline to the watch() method directs the change stream to return notifications after passing them through the specified pipeline.

You can control change stream output by providi