[定位] 根据题干中的“Kafka on the Shore”可定位到第2、3段。[解析] 第2段第1句提到卡夫卡是《海边的卡夫卡》的主人公,第3段倒数第2句提到书中图书馆馆长曾经创作一首名叫“溜边的卡夫卡”的畅销歌曲,由此答案D最符合题意。[点睛] 细节题。文章两处提到“Kafka on the Shore”这个名字。A把歌曲作者...
Kafka is a distributed platform; it runs as a fault-tolerant, highly available cluster that can span multiple servers and even multipledata centers. Kafka topics are partitioned and replicated in such a way that they can scale to serve high volumes of simultaneous consumers without impacting perfo...
The consumer side of Kafka also has a fail-safe mechanism. You can create multiple instances of a consumer application to read messages from the same topic. Together, these instances make up aconsumer group. Each partition is assigned to one consumer in the group. In our example, one consume...
, and it is stable, provides reliable durability, has a flexible publish-subscribe/queue that scales well with N-number of consumer groups, has robust replication, provides Producers with tunable consistency guarantees, and it provides preserved ordering at shard level (Kafka Topic Partition). ...
Learn about Apache Kafka, an open-source distributed event streaming platform used for real-time data processing, streaming analytics, and data integration.
In Kafka, replication is implemented at the partition level. The redundant unit of a topic partition is called a replica. Each partition usually has one or more replicas meaning that partitions contain messages that are replicated over a few Kafka brokers in the cluster. ...
Partitions:Each partition is an ordered, immutable sequence of records that is continually appended. Partitions allow Kafka to parallelize processing as each partition can be consumed independently. Imagine Kafka as a highly efficient mail system. Producers are like senders dropping off letters (messages...
Kafka是一个分布式、支持分区的(partition)、多副本的(replica),基于zookeeper协调的分布式消息系统,它的最大的特性就是可以实时的处理大量数据以满足各种需求场景:比如基于hadoop的批处理系统、低延迟的实时系统、storm/Spark流式处理引擎,web/nginx日志、访问日志,消息服务等等,用scala语言编写,Linkedin于2010年贡献给了...
Apache Kafka is a distributed data streaming platform that can publish, subscribe to, store, and process streams of records in real time.
Kafka is distributed, which means that it can run as a Cluster that spans multiple servers. Leveraging its distributed nature, users can achieve high throughput, minimal latency, high computation power, etc., and can handle large volumes of data without any perceptible lag in performance. Written...