Prepared statements

Use PreparedStatement for queries that are executed multiple times in your application:

PreparedStatement prepared = session.prepare(
  "insert into product (sku, description) values (?, ?)");

BoundStatement bound = prepared.bind("234827", "Mouse");
session.execute(bound);

session.execute(prepared.bind("987274", "Keyboard"));

When you prepare the statement, Cassandra will parse the query string, cache the result and return a unique identifier (the PreparedStatement object keeps an internal reference to that identifier):

Text Diagram

When you bind and execute a prepared statement, the driver will only send the identifier, which allows Cassandra to skip the parsing phase:

Text Diagram

You should prepare only once, and cache the PreparedStatement in your application (it is thread-safe). If you call prepare multiple times with the same query string, the driver will log a warning.

If you execute a query only once, a prepared statement is inefficient because it requires two roundtrips. Consider a simple statement instead.

Parameters and binding

Parameters can be either anonymous or named (named parameters are only available with native protocol v2 or above):

ps1 = session.prepare("insert into product (sku, description) values (?, ?)");
ps2 = session.prepare("insert into product (sku, description) values (:s, :d)");

To turn the statement into its executable form, you need to bind it to create a BoundStatement. As shown previously, there is a shorthand to provide the parameters in the same call:

BoundStatement bound = ps1.bind("324378", "LCD screen");

You can also bind first, then use setters, which is slightly more explicit:

// Positional setters:
BoundStatement bound = ps1.bind()
  .setString(0, "324378")
  .setString(1, "LCD screen");

// Named setters:
BoundStatement bound = ps2.bind()
  .setString("s", "324378")
  .setString("d", "LCD screen");

You can use named setters even if the query uses anonymous parameters; Cassandra will name the parameters after the column they apply to:

BoundStatement bound = ps1.bind()
  .setString("sku", "324378")
  .setString("description", "LCD screen");

This can be ambiguous if the query uses the same column multiple times, for example: select * from sales where sku = ? and date > ? and date < ?. In these situations, use positional setters or named parameters.

For native protocol V3 or below, all variables must be bound. With native protocol V4 or above, variables can be left unset, in which case they will be ignored server side (no tombstones will be generated). If you’re reusing a bound statement you can use the unset method to unset variables that were previously set:

BoundStatement bound = ps1.bind()
  .setString("sku", "324378")
  .setString("description", "LCD screen");

// Using the unset method to unset previously set value.
// Positional setter:
bound.unset(1);

// Named setter:
bound.unset("description");

A bound statement also has getters to retrieve the values. Note that this has a small performance overhead since values are stored in their serialized form.

BoundStatement is not thread-safe. You can reuse an instance multiple times with different parameters, but only from a single thread and only if you use synchronous calls:

BoundStatement bound = ps1.bind();

// This is safe:
bound.setString("sku", "324378");
session.execute(bound);

bound.setString("sku", "324379");
session.execute(bound);

// This is NOT SAFE. executeAsync runs concurrently with your code, so the first execution might actually read the
// values after the second setString call, and you would insert 324381 twice:
bound.setString("sku", "324380");
session.executeAsync(bound);

bound.setString("sku", "324381");
session.executeAsync(bound);

Also, make sure you don’t accidentally reuse parameters from previous executions.

Preparing on multiple nodes

Cassandra does not replicate prepared statements across the cluster. It is the driver’s responsibility to ensure that each node’s cache is up to date. It uses a number of strategies to achieve this:

  1. When a statement is initially prepared, it is first sent to a single node in the cluster (this avoids hitting all nodes in case the query string is wrong). Once that node replies successfully, the driver re-prepares on all remaining nodes:

    Text Diagram

    The prepared statement identifier is deterministic (it’s a hash of the query string), so it is the same for all nodes.

  2. if a node crashes, it loses all of its prepared statements. So the driver keeps a client-side cache; anytime a node is marked back up, the driver re-prepares all statements on it;

  3. finally, if the driver tries to execute a statement and finds out that the coordinator doesn’t know about it, it will re-prepare the statement on the fly (this is transparent for the client, but will cost two extra roundtrips):

    Text Diagram

You can customize these strategies through QueryOptions:

  • setPrepareOnAllHosts controls whether statements are initially re-prepared on other hosts (step 1 above);
  • setReprepareOnUp controls whether statements are re-prepared on a node that comes back up (step 2 above).

Changing the driver’s defaults should be done with care and only in specific situations; read each method’s Javadoc for detailed explanations.

Avoid preparing ‘SELECT *’ queries

Both the driver and Cassandra maintain a mapping of PreparedStatement queries to their metadata. When a change is made to a table, such as a column being added or dropped, there is currently no mechanism for Cassandra to invalidate the existing metadata. Because of this, the driver is not able to properly react to these changes and will improperly read rows after a schema change is made.

Therefore it is currently recommended to not create prepared statements for ‘SELECT *’ queries if you plan on making schema changes involving adding or dropping columns. Alternatively you should list all columns of interest in your statement, i.e.: SELECT a, b, c FROM tbl.

This will be addressed in a future release of both Cassandra and the driver. Follow CASSANDRA-10786 and JAVA-1196 for more information.