Here is the command for creating the topic in Kafka Here the Flume acts as Consumer and stores in HDFS.īin/kafka-server-start.sh config/server.propertiesģ. And integration of both is needed to stream the data in Kafka topic with high speed to different Sinks. In Kafka, the Flume is integrated for streaming a high volume of data logs from Source to Destination for Storing data in HDFS. Channel: It acts as an intermediate buffer between Source and Sink for passing messages.įlume is a data ingestion tool that moves data from one place to another.They have different Sinks for Storing data such as HDFS Sink, Hbase Sink, etc Source: Receives messages from Client or source path and transfers into Channel.The “Flume Agent”, which is responsible for sending messages from the Source (i.e. Flume acts as a centralized system service to ingest large volumes of data for streaming logs into several file systems such as HDFS for storage. On the other hand, Apache Flume is an open source distributed, reliable, and available service for collecting and moving large amounts of data into different file system such as Hadoop Distributed File System (HDFS), HBase, etc.

A consumer is the one who subscribes data (i.e. push messages) into Kafka topics within the broker. Producers are processes that publish data (i.e. In the Apache Kafka Distributed Platform, the Kafka cluster contains one or more servers (Kafka brokers). Since Kafka is a fast, scalable, durable, and fault-tolerant publish-subscribe messaging system with higher throughput, reliability and replication characteristics. Apache Kafka is used to publishing and subscribe messages in sequential order in the queue.

Apache Kafka is an open-source distributed stream-processing queuing platform, written in Scala and Java.

What is flume in hadoop