MotorChangeStream

class motor.motor_tornado.MotorChangeStream(target, pipeline, full_document, resume_after, max_await_time_ms, batch_size, collation, start_at_operation_time, session, start_after)
close()

Close this change stream.

Stops any “async for” loops using this change stream.

next()

Advance the cursor.

This method blocks until the next change document is returned or an unrecoverable error is raised. This method is used when iterating over all changes in the cursor. For example:

async def watch_collection():
    resume_token = None
    pipeline = [{'$match': {'operationType': 'insert'}}]
    try:
        async with db.collection.watch(pipeline) as stream:
            async for insert_change in stream:
                print(insert_change)
                resume_token = stream.resume_token
    except pymongo.errors.PyMongoError:
        # The ChangeStream encountered an unrecoverable error or the
        # resume attempt failed to recreate the cursor.
        if resume_token is None:
            # There is no usable resume token because there was a
            # failure during ChangeStream initialization.
            logging.error('...')
        else:
            # Use the interrupted ChangeStream's resume token to
            # create a new ChangeStream. The new stream will
            # continue from the last seen insert change without
            # missing any events.
            async with db.collection.watch(
                    pipeline, resume_after=resume_token) as stream:
                async for insert_change in stream:
                    print(insert_change)

Raises StopAsyncIteration if this change stream is closed.

In addition to using an “async for” loop as shown in the code example above, you can also iterate the change stream by calling await change_stream.next() repeatedly.

try_next()

Advance the cursor without blocking indefinitely.

This method returns the next change document without waiting indefinitely for the next change. If no changes are available, it returns None. For example:

while change_stream.alive:
    change = await change_stream.try_next()
    # Note that the ChangeStream's resume token may be updated
    # even when no changes are returned.
    print("Current resume token: %r" % (change_stream.resume_token,))
    if change is not None:
        print("Change document: %r" % (change,))
        continue
    # We end up here when there are no recent changes.
    # Sleep for a while before trying again to avoid flooding
    # the server with getMore requests when no changes are
    # available.
    await asyncio.sleep(10)

If no change document is cached locally then this method runs a single getMore command. If the getMore yields any documents, the next document is returned, otherwise, if the getMore returns no documents (because there have been no changes) then None is returned.

Returns:The next change document or None when no document is available after running a single getMore or when the cursor is closed.

New in version 2.1.

alive

Does this cursor have the potential to return more data?

Note

Even if alive is True, next() can raise StopIteration and try_next() can return None.

New in version 3.8.

resume_token

The cached resume token that will be used to resume after the most recently returned change.

New in version 3.9.