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Apache Kafka - Fundamentals

Pragya Keshap answered on February 21, 2023 Popularity 3/10 Helpfulness 1/10

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  • Apache Kafka - Fundamentals

    0

    Topics

    A stream of messages belonging to a particular category is called a topic. Data is stored in topics.

    Topics are split into partitions. For each topic, Kafka keeps a minimum of one partition. Each such partition

    contains messages in an immutable ordered sequence. A partition is implemented as a set of segment files

    of equal sizes.

    ● Partition

    Topics may have many partitions, so it can handle an arbitrary amount of data.

    ● Partition offset

    Each partitioned message has a unique sequence id called as offset.

    ● Replicas of partition

    Replicas are nothing but backups of a partition. Replicas are never read or write data. They are used to

    prevent data loss.

    ● Kafka Cluster

    Kafka’s having more than one broker are called as Kafka cluster. A Kafka cluster can be expanded

    without downtime. These clusters are used to manage the persistence and replication of message data.

    ● Producers

    Producers are the publisher of messages to one or more Kafka topics. Producers send data to Kafka

    brokers. Every time a producer publishes a message to a broker, the broker simply appends the message

    to the last segment file. Actually, the message will be appended to a partition. Producer can also send

    messages to a partition of their choice.

    Apache Kafka - Fundamentals

    ● Consumers

    Consumers read data from brokers. Consumers subscribes to one or more topics and consume published

    messages by pulling data from the brokers.

    ● Leader

    Leader is the node responsible for all reads and writes for the given partition. Every partition has one

    server acting as a leader.

    ● Follower

    Node which follows leader instructions are called as follower. If the leader fails, one of the follower will

    automatically become the new leader. A follower acts as normal consumer, pulls messages and up-dates

    its own data store. 

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    Contributed on Feb 21 2023
    Pragya Keshap
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