Apache Kafka Practice Exam 2026 – The Complete All-in-One Guide for Exam Success!

Having more partitions in Kafka leads to a higher number of open file handles because each partition corresponds to its own set of log files on the disk. In Kafka, each partition is managed as a separate log, and the underlying storage mechanism involves opening multiple files concurrently for read and write operations, particularly in a high-throughput environment. As the number of partitions increases, the number of log segments (files) created for each partition also increases, resulting in more open file handles at any given time.

This situation can lead to operating system-level limitations on the maximum number of files that can be open simultaneously. Therefore, while Kafka benefits from partitioning in terms of parallelism and scalability, it also requires careful consideration for file management and resource limitations related to file handles, especially if the number of partitions scales significantly.