Asynchronous programming

The driver exposes an asynchronous API that allows you to write programs in a fully-non blocking manner. Asynchronous methods return instances of Guava’s ListenableFuture, that can be conveniently chained and composed.

Here is a short example that opens a session and runs a query asynchronously:


ListenableFuture<Session> session = cluster.connectAsync();

// Use transform with an AsyncFunction to chain an async operation after another:
ListenableFuture<ResultSet> resultSet = Futures.transform(session,
    new AsyncFunction<Session, ResultSet>() {
        public ListenableFuture<ResultSet> apply(Session session) throws Exception {
            return session.executeAsync("select release_version from system.local");

// Use transform with a simple Function to apply a synchronous computation on the result:
ListenableFuture<String> version = Futures.transform(resultSet,
    new Function<ResultSet, String>() {
        public String apply(ResultSet rs) {

// Use a callback to perform an action once the future is complete:
Futures.addCallback(version, new FutureCallback<String>() {
    public void onSuccess(String version) {
        System.out.printf("Cassandra version: %s%n", version);

    public void onFailure(Throwable t) {
        System.out.printf("Failed to retrieve the version: %s%n",

Async paging

If you consume a ResultSet in a callback, be aware that iterating the rows will trigger synchronous queries as you page through the results. To avoid this, use getAvailableWithoutFetching to limit the iteration to the current page, and fetchMoreResults to get a future to the next page (see also the section on paging). Here is a full example:

Statement statement = new SimpleStatement("select * from foo").setFetchSize(20);
ListenableFuture<ResultSet> future = Futures.transform(

private static AsyncFunction<ResultSet, ResultSet> iterate(final int page) {
    return new AsyncFunction<ResultSet, ResultSet>() {
        public ListenableFuture<ResultSet> apply(ResultSet rs) throws Exception {

            // How far we can go without triggering the blocking fetch:
            int remainingInPage = rs.getAvailableWithoutFetching();

            System.out.printf("Starting page %d (%d rows)%n", page, remainingInPage);

            for (Row row : rs) {
                System.out.printf("[page %d - %d] row = %s%n", page, remainingInPage, row);
                if (--remainingInPage == 0)
            System.out.printf("Done page %d%n", page);

            boolean wasLastPage = rs.getExecutionInfo().getPagingState() == null;
            if (wasLastPage) {
                System.out.println("Done iterating");
                return Futures.immediateFuture(rs);
            } else {
                ListenableFuture<ResultSet> future = rs.fetchMoreResults();
                return Futures.transform(future, iterate(page + 1));

Good practices

If your callback is slow, consider providing a separate executor. Otherwise the callback might run on one of the driver’s I/O threads, blocking I/O operations for other requests while it is running:

ListenableFuture<String> result = Futures.transform(resultSet,
    new Function<ResultSet, String>() {
        public String apply(ResultSet rs) {
            return someVeryLongComputation(rs);
    }, myCustomExecutor);

Avoid blocking operations in callbacks, especially if you don’t provide a separate executor. This could easily lead to deadlock if the thread that’s supposed to complete the blocking call is also the thread that’s waiting on it:

ListenableFuture<ResultSet> resultSet = Futures.transform(session,
    new Function<Session, ResultSet>() {
        public ResultSet apply(Session session) {
            // Synchronous operation in a callback.
            // DON'T DO THIS! It might deadlock.
            return session.execute("select release_version from system.local");

Known limitations

There are still a few places where the driver will block internally (mainly for historical reasons):

  • Cluster#init performs blocking I/O operations. To avoid issues, you should create your Cluster instances while bootstrapping your application, and call init immediately. If you need to create new instances at runtime, make sure this does not happen on an I/O thread.
  • trying to read fields from a query trace will block if the trace hasn’t been fetched already.