2015年12月7日 · Some manufacturers ship PCs with their internal drives divided into multiple partitions -- one for the Windows operating system, and an empty "data" partition for your personal files. You can combine these partitions into a single one, if you prefer.

2021年1月11日 · As its name suggests, a single-partition topic is a Kafka topic with only one partition defined. Such a choice has some straightforward limitations: In terms of processing throughput & overall scalability, we couldn’t pick worse than that.

2024年5月11日 · Kafka guarantees the order of the events within the same topic partition. However, by default, it does not guarantee the order of events across all partitions. For example, to improve performance, we can divide the topic into two different partitions and read from them on the consumer side.

2024年1月24日 · Within a single partition, Kafka ensures that messages are processed in the same order they were received. This guarantees sequential processing for applications that rely on message order, like financial transactions or event logs.

2016年6月25日 · The more partitions there are in a Kafka cluster, the higher the throughput one can achieve. A rough formula for picking the number of partitions is based on throughput. You measure the throughout that you can achieve on a single partition for production (call it p) and consumption (call it c).

2022年2月28日 · Case 1: If a new consumer joins the consumer group, rebalancing happens and each consumer is now assigned to a single partition (since we have equal number of partitions and consumers).

2021年12月13日 · You won’t be able to merge partitions directly. For combining two partitions you need to delete one (including data) then only you can add the extra empty space to other partition.

2021年10月9日 · Therefore, Kafka can maintain message ordering for a consumer if it is subscribed to only a single partition. If message ordering is required in your use case, the messages send from producer should be using a same partition key to be grouped into same partition in kafka broker.

2022年2月26日 · However, I read that kafka uses partitioning to provide scalability, i.e. by placeing partitions of a topic on several brokers. I also read, that a partition itself can not be split. Since ordering is only possible within a partition, is scalability a problem for my application?

In this article, the term partitioning means the process of physically dividing data into separate data stores. It is not the same as SQL Server table partitioning. Why partition data? Improve scalability. When you scale up a single database system, it will eventually reach a …