Note: Cassandra 2.0+ is required.
Batches can be used to group multiple mutations (UPDATE, INSERT, DELETE) together into a single statement; simple or prepared. There are three different types of batches supported by Cassandra 2.0 or later.
CASS_BATCH_TYPE_LOGGED is used to make sure that multiple mutations across multiple partitions happen atomically, that is, all the included mutations will eventually succeed. However, there is a performance penalty imposed by atomicity guarantee.CASS_BATCH_TYPE_UNLOGGED is generally used to group mutations for a single partition and do not suffer from the performance penalty imposed by logged batches, but there is no atomicity guarantee for multi-partition updates.CASS_BATCH_TYPE_COUNTER is used to group counters updates.Important: Be careful when using batches as a performance optimization.
void execute_batch(CassSession* session) { /* This logged batch will make sure that all the mutations eventually succeed */ CassBatch* batch = cass_batch_new(CASS_BATCH_TYPE_LOGGED); /* Statements can be immediately freed after being added to the batch */ { CassStatement* statement = cass_statement_new("INSERT INTO example1(key, value) VALUES ('a', '1')", 0); cass_batch_add_statement(batch, statement); cass_statement_free(statement); } { CassStatement* statement = cass_statement_new("UPDATE example2 set value = '2' WHERE key = 'b'", 0); cass_batch_add_statement(batch, statement); cass_statement_free(statement); } { CassStatement* statement = cass_statement_new("DELETE FROM example3 WHERE key = 'c'", 0); cass_batch_add_statement(batch, statement); cass_statement_free(statement); } CassFuture* batch_future = cass_session_execute_batch(session, batch); /* Batch objects can be freed immediately after being executed */ cass_batch_free(batch); /* This will block until the query has finished */ CassError rc = cass_future_error_code(batch_future); printf("Batch result: %s\n", cass_error_desc(rc)); cass_future_free(batch_future); }