Does Kafka support distributed transactions?

Does Kafka support distributed transactions?

Indeed, Kafka supports transactions, but it is only transactions between individual topics. This approach works fine as long as we process only with Kafka data. Any attempt to involve any third-party data sources in the business process is stuck because the Kafka fundamentally does not support XA transactions.

What are Kafka transactions?

Kafka Transactions provide guarantees that messages processed in a consume-transform-produce workflow (consumed from a source topic, transformed, and produced to a destination topic) are processed exactly once or not at all.

How transactions work in Kafka?

Transactions in Kafka are designed so that they are mainly handled on the producer/message broker side, rather than the consumer side. The consumer is effectively an idempotent reader, while the producer/coordinator handle the transaction.

Is Kafka distributed?

Kafka is a distributed, horizontally scalable streaming platform. It is an open-source stream processing platform. Kafka originated at LinkedIn and later became an open-source Apache project in 2011, then a first-class Apache project in 2012. Kafka is written in Scala and Java.

Does Kafka support exactly-once delivery?

Initially, Kafka only supported at-most-once and at-least-once message delivery. However, the introduction of Transactions between Kafka brokers and client applications ensures exactly-once delivery in Kafka.

How do you get exactly-once in Kafka?

A batch of data is consumed by a Kafka consumer from one cluster (called “source”) then immediately produced to another cluster (called “target”) by Kafka producer. To ensure “Exactly-once” delivery, the producer creates a new transaction through a “coordinator” each time it receives a batch of data from the consumer.

Is Kafka at-least-once?

At-least-once semantics: if the producer receives an acknowledgement (ack) from the Kafka broker and acks=all, it means that the message has been written exactly once to the Kafka topic.

Does Kafka support exactly once delivery?

Why is Kafka over other messages?

Kafka replicates data and is able to support multiple subscribers. Additionally, it automatically balances consumers in the event of failure. That means that it’s more reliable than similar messaging services available. Kafka Offers High Performance.

Is it possible to do ACID transactions with Kafka?

So, my point is that it’s technically possible to do it with Kafka, but it’s adding complexity to the application. Transactional systems implement the four ACID properties: Atomicity, Consistency, Isolation, and Durability. The definitions of those really apply to databases but the overall ideas can be applied to messaging systems too.

How is messaging system used in Apache Kafka?

The messaging system is being used to move data safely from one database to another. The first transaction involving the source database and the messaging system looks like this: Read row from source database

How is a transaction atomic in Apache Kafka?

Once the log record that represents the transaction committing is written to the log, you know that the transaction is properly atomic and durable. In Apache Kafka, the exactly-once-semantics APIs are a powerful tool for stream processing applications, but the transactional guarantees are relatively weak.

What’s the difference between IBM MQ and Apache Kafka?

The biggest difference between message queuing systems such as IBM MQ and event streaming systems such as Apache Kafka is the idea of a stream history. Essentially, in an event streaming system, the historical events on an event stream are not immediately removed when they’re consumed. They stay around.