Importance of Java in Apache Kafka Partition
Let’s understand the Importance of Java in Kafka and Partition in Kafka,
Importance of Java in Kafka
* Apache Kafka is written in pure java language and also Kafka’s native API is also written in java language.
* The contribution of other languages like .Net, C++, Python is also there in the Apache Kafka.
* Because of java platform in Kafka there is no need of using a third-party library.
* The writing code in other languages apart from Java is little bit overhead.
* High processing standard rates came into picture in kafka due to Java.
* Java provides a good community support for Kafka consumer clients.
” Therefore we can say that java is a right choice to implement Kafka”
Partition in Kafka
What is Partition?
Broken Pieces of Topic is called as Partition.
* Partitions are used to scale Kafka across many server.
* It made path easier for parallel consumers.
* Partitions are distributed and replicated across the brokers.
* It consist of messages with offsets (unique number), as show in the below diagram.
* Records in the partition are immutable (unmodified) nature.
* Consumers can read data from any position (offset) in a partition and we can move forward or back.
* Kafka ensures strict ordering within a partition i.e. consumers will receive in proper order which a producer published the data.
Distributing partitions across nodes
In Kafka partition, data is distributing across multiple machines as shown in the above diagram.
Primary partition: In the above diagram 2 partitions per node example,
Node 1 – P1,P3
Node 2 – P2, P4.
Replica placement: From the above diagram one replica for each partition since the factor is 2.
Node 1 – P2,P4
Node 2 – P1, P3
“That’s all about the partition in Kafka, i hope the concept is clear”