kafka partitions

1. What are partitions in Kafka?
2. How many partitions should a Kafka topic have?
3. What is the purpose of Kafka partitions?
4. How does Kafka partition data?
5. How many Kafka partitions is too many?
6. Can we run Kafka without ZooKeeper?
7. Can we increase Kafka partitions?
8. Is Kafka pull or push?
9. Do Kafka partitions contain the same data?
10. What is Kafka good for?
11. Why do we need Kafka?
12. Is Kafka a database?

What are partitions in Kafka?

Partitions are the main concurrency mechanism in Kafka. A topic is divided into 1 or more partitions, enabling producer and consumer loads to be scaled. Specifically, a consumer group supports as many consumers as partitions for a topic.

How many partitions should a Kafka topic have?

For most implementations you want to follow the rule of thumb of 10 partitions per topic, and 10,000 partitions per Kafka cluster. Going beyond that amount can require additional monitoring and optimization.

What is the purpose of Kafka partitions?

Kafka topic partition

This allows multiple consumers to read from a topic in parallel. Partitions allow topics to be parallelized by splitting the data into a particular topic across multiple brokers. In Kafka, replication is implemented at the partition level.

How does Kafka partition data?

Kafka topics are divided into a number of partitions. Partitions allow you to parallelize a topic by splitting the data in a particular topic across multiple brokers — each partition can be placed on a separate machine to allow for multiple consumers to read from a topic in parallel.

How many Kafka partitions is too many?

As guideline for optimal performance, you should not have more than 4000 partitions per broker and not more than 200,000 partitions in a cluster.

Can we run Kafka without ZooKeeper?

You can not use kafka without zookeeper. ... So zookeeper is used to elect one controller from the brokers. Zookeeper also manages the status of the brokers, which broker is alive or dead. Zookeeper also manages all the topics configuration, which topic contains which partitions etc.

Can we increase Kafka partitions?

Apache Kafka provides us with alter command to change Topic behaviour and add/modify configurations. We will be using alter command to add more partitions to an existing Topic. Note: While Kafka allows us to add more partitions, it is NOT possible to decrease number of partitions of a Topic.

Is Kafka pull or push?

With Kafka consumers pull data from brokers. Other systems brokers push data or stream data to consumers. ... Since Kafka is pull-based, it implements aggressive batching of data. Kafka like many pull based systems implements a long poll (SQS, Kafka both do).

Do Kafka partitions contain the same data?

Each message goes into a single partition of the topic, no matter how many partitions the topic has. If you have set the replication-factor for topic to a number larger than 1 (assuming you have multiple brokers running in the cluster), then each partition of the topic is replicated across those brokers.

What is Kafka good for?

If you're unfamiliar with Kafka, it's a scalable, fault-tolerant, publish-subscribe messaging system that enables you to build distributed applications and powers web-scale Internet companies such as LinkedIn, Twitter, AirBnB, and many others.

Why do we need Kafka?

In short, Kafka is used for stream processing, website activity tracking, metrics collection and monitoring, log aggregation, real-time analytics, CEP, ingesting data into Spark, ingesting data into Hadoop, CQRS, replay messages, error recovery, and guaranteed distributed commit log for in-memory computing ( ...

Is Kafka a database?

Apache Kafka is a database. It provides ACID guarantees and is used in hundreds of companies for mission-critical deployments. However, in many cases Kafka is not competitive to other databases.