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Introduction to Apache Cassandra

Search Restrictions Solution: Denormalization

Explore how Apache Cassandra's search restrictions on primary keys guide table design. Understand denormalization as a key strategy to duplicate data across tables, enabling efficient queries by specific keys without joins. This lesson guides you through applying denormalization to maintain fast read performance and data consistency.

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In Apache Cassandra, the table's primary key imposes restrictions on search conditions, impacting design of the relational model. In this lesson we will focus on these limitations and denormalization as a potential solution.

To reiterate, in a SELECT query:

  • Only the columns that are part of the primary key can be used in the WHERE clause as filtering conditions.

  • Only equality searches can be performed on partition key columns. Range queries are allowed on clustering columns.

  • If the partition key is composed of multiple columns (composite partition key), all partition key columns must be included in the WHERE clause. 

  • Clustering columns may not be included in the search condition. To include a clustering column in the WHERE clause, all clustering columns defined ...