Cassandra Practice Test

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Boost your skills with the Cassandra Test. Leverage flashcards and multiple-choice questions to sharpen your understanding of Cassandra databases. Be exam-ready with insightful hints and explanations!

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What are some benefits of data compaction in Cassandra?

Faster writes
More optimal disk usage
More complex data integrity
Increased memory pressure

The correct answer is: More optimal disk usage

Data compaction in Cassandra is primarily beneficial for achieving more optimal disk usage. During the compaction process, multiple SSTables (Sorted String Tables) are merged together, which helps to eliminate tombstones (markers for deleted data) and duplicate entries. This results in a more efficient organization of data on disk, which can lead to less wasted space and improved read performance, as more relevant data can be accessed more quickly. Focusing on disk optimization helps ensure that the database can manage larger datasets without unnecessarily increasing storage costs or complexity. This is particularly important as applications scale and more data is ingested into the system regularly. In contrast, while faster writes might be mistakenly thought to be a direct benefit of compaction, the process itself can momentarily slow down write operations due to the merging of data. Similarly, data integrity generally becomes more manageable with compaction rather than more complex, and compaction does not inherently increase memory pressure; in fact, it may help in reducing it by streamlining data storage and access patterns.