<a id="query-paging"></a>

# Paging Large Queries

Cassandra 2.0+ offers support for automatic query paging.  Starting with
version 2.0 of the driver, if `protocol_version` is greater than
`2` (it is by default), queries returning large result sets will be
automatically paged.

## Controlling the Page Size

By default, `Session.default_fetch_size` controls how many rows will
be fetched per page.  This can be overridden per-query by setting
`fetch_size` on a `Statement`.  By default, each page
will contain at most 5000 rows.

## Handling Paged Results

Whenever the number of result rows for are query exceed the page size, an
instance of `PagedResult` will be returned instead of a normal
list.  This class implements the iterator interface, so you can treat
it like a normal iterator over rows:

```default
from cassandra.query import SimpleStatement
query = "SELECT * FROM users"  # users contains 100 rows
statement = SimpleStatement(query, fetch_size=10)
for user_row in session.execute(statement):
    process_user(user_row)
```

Whenever there are no more rows in the current page, the next page will
be fetched transparently.  However, note that it *is* possible for
an `Exception` to be raised while fetching the next page, just
like you might see on a normal call to `session.execute()`.

If you use `Session.execute_async()` along with,
`ResponseFuture.result()`, the first page will be fetched before
`result()` returns, but latter pages will be
transparently fetched synchronously while iterating the result.

## Handling Paged Results with Callbacks

If callbacks are attached to a query that returns a paged result,
the callback will be called once per page with a normal list of rows.

Use `ResponseFuture.has_more_pages` and
`ResponseFuture.start_fetching_next_page()` to continue fetching
pages.  For example:

```default
class PagedResultHandler(object):

    def __init__(self, future):
        self.error = None
        self.finished_event = Event()
        self.future = future
        self.future.add_callbacks(
            callback=self.handle_page,
            errback=self.handle_err)

    def handle_page(self, rows):
        for row in rows:
            process_row(row)

        if self.future.has_more_pages:
            self.future.start_fetching_next_page()
        else:
            self.finished_event.set()

    def handle_error(self, exc):
        self.error = exc
        self.finished_event.set()

future = session.execute_async("SELECT * FROM users")
handler = PagedResultHandler(future)
handler.finished_event.wait()
if handler.error:
    raise handler.error
```

## Resume Paged Results

You can resume the pagination when executing a new query by using the `ResultSet.paging_state`. This can be useful if you want to provide some stateless pagination capabilities to your application (ie. via http). For example:

```default
from cassandra.query import SimpleStatement
query = "SELECT * FROM users"
statement = SimpleStatement(query, fetch_size=10)
results = session.execute(statement)

# save the paging_state somewhere and return current results
web_session['paging_stage'] = results.paging_state


# resume the pagination sometime later...
statement = SimpleStatement(query, fetch_size=10)
ps = web_session['paging_state']
results = session.execute(statement, paging_state=ps)
```