Does Kafka need Hdfs?
Frameworks like Kafka or Spark are not dependent on Hadoop, they are independent entities. Spark supports Hadoop, like Yarn, can be used for Spark’s Cluster mode, HDFS for storage. Same way Kafka as an independent entity, can work with Spark. It stores its messages in the local file system.Click to see full answer. Correspondingly, does…
Frameworks like Kafka or Spark are not dependent on Hadoop, they are independent entities. Spark supports Hadoop, like Yarn, can be used for Spark’s Cluster mode, HDFS for storage. Same way Kafka as an independent entity, can work with Spark. It stores its messages in the local file system.Click to see full answer. Correspondingly, does Kafka store data in HDFS?Frameworks like Kafka or Spark are not dependent on Hadoop, they are independent entities. Spark supports Hadoop, like Yarn, can be used for Spark’s Cluster mode, HDFS for storage. Same way Kafka as an independent entity, can work with Spark. It stores its messages in the local file system.Also, how does Kafka work with Hadoop? Kafka is used to stream data in Hadoop cluster. The data is stored in HDFS and processed using either mapreduce or other Hadoop streaming framework. Kafka uses the concept of producer and consumer. Producer collects the data in its messaging system which is a partitioned one unless the consumer consumes it. Just so, can Kafka write to HDFS? Re: Kafka – Can we write kafka message to HDFS Indeed, yes for the archiving purpose ( not suggested for real time). as the activity is straight forward, you may use flume to do that task with “Kafka source” and “HDFS sink” topology. or you may use NiFi to do the same real time.What is Kafka Hadoop?Kafka is a data stream used to feed Hadoop BigData lakes. Kafka brokers support massive message streams for low-latency follow-up analysis in Hadoop or Spark. Also, Kafka Streams (a subproject) can be used for real-time analytics.
