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Database / Apache Cassandra Intermediate and Advanced interview questions

What is the difference between a partition key and a clustering key?

The partition key decides which node (and its replicas) a row physically lives on. Cassandra hashes the partition key with the configured partitioner to get a token, and that token maps to a position on the ring. Every row sharing the same partition key value lands on the same set of replicas.

The clustering key only matters once you are already inside a partition. It controls the on-disk sort order of the rows within that partition, so range scans and "latest N" style queries stay fast without touching other partitions.

Partition KeyClustering Key
Determines data placement across nodes.Determines sort order within a partition.
Used to route queries to the correct replica.Used for range/slice queries inside a partition.
Must be an equality match in WHERE clause (no ranges).Supports range operators like >, <, and ORDER BY.

CREATE TABLE sensor_data (
  sensor_id  text,
  reading_time timestamp,
  value      double,
  PRIMARY KEY (sensor_id, reading_time)
);
-- sensor_id = partition key, reading_time = clustering key

Getting this split wrong is one of the most common Cassandra data-modeling mistakes: too little in the partition key creates hot, oversized partitions, while putting sorting columns in the partition key breaks range queries entirely.

What does the clustering key primarily control?
Why must partition key predicates typically be equality matches?

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