For questions specifically related to Topic Partitioning in Kafka. The data within kafka topics are divided into multiple partitions. Partitioning helps in consuming faster and more parallelization can be achieved by splitting up the partitions across multiple brokers and multiple machines/servers. When using this tag also include the [kafka-topic] tag and the more generic [apache-kafka] tag where possible.
The data within kafka topics are divided into multiple partitions. Partitioning helps in consuming faster and more parallelization can be achieved by splitting up the partitions across multiple brokers and multiple machines/servers. This allows multiple consumers to consume from multiple partitions and this improves the performance of data consuming application.
