Batches, Lightweight Transactions, Counters, and Advanced CQL
Use advanced Cassandra features carefully and understand where they help and where they add cost.
Inside this chapter
- Batches Are Not Bulk Loader Magic
- Lightweight Transactions
- Counters and Special Data Types
- Advanced Feature Mindset
Series navigation
Study the chapters in order for the clearest path from beginner Cassandra concepts to advanced distributed operations. Use the navigation at the bottom of each page to move through the full series.
Batches Are Not Bulk Loader Magic
Many beginners assume batches are always for performance improvement. In Cassandra, batches are mainly about coordinating related writes, not about making arbitrary large write workloads automatically faster. Misusing batches can actually hurt performance.
Lightweight Transactions
INSERT INTO users_by_email (email, user_id, full_name)
VALUES ('user@example.com', uuid(), 'Asha Rao')
IF NOT EXISTS;Lightweight transactions support conditional writes using Paxos-style coordination. They are useful for uniqueness or compare-and-set behavior, but they are more expensive than normal writes and should be used intentionally.
Counters and Special Data Types
Cassandra supports counter tables for certain increment/decrement use cases, but they have operational and modeling limitations. Students should understand them as specialized tools, not universal solutions.
Advanced Feature Mindset
The mature Cassandra mindset is simple: use special features only when the workload truly requires them. Default to simple, scalable, query-driven table designs first.