Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafka® . It provides an easy-to-use, yet powerful interactive SQL interface for stream processing on Kafka, without the need to write code in a programming language such as Java or Python.
What is KSQL good for?
KSQL allows anyone with SQL knowledge to process any data coming into any chosen topic . This, of course without need to write any code in a programming language such as Python or Java. With KSQL, anyone in need of data in real time in a more abstract and organized way can do it more easily.
What is Kafka streams and KSQL?
Kafka Streams: A client library for building applications and microservices. ... KSQL is an open source streaming SQL engine for Apache Kafka . It provides a simple and completely interactive SQL interface for stream processing on Kafka; no need to write code in a programming language such as Java or Python.
How do I use Kafka in KSQL?
- Start your confluent.
- Open KSQL CLI with the help of
/bin/ksql. - Create a STREAM pageviews_original from the Kafka topic pageviews, specifying the value_format of DELIMITED . Describe the new STREAM .
Is KSQL part of Apache Kafka?
KSQL is the streaming SQL engine for Apache Kafka , implemented on top of the Kafka Streams API which is part of Apache Kafka itself.
Why you shouldn't use Kafka?
When Not To Use Kafka
Kafka is an overkill when you need to process only a small amount of messages per day (up to several thousand) . Kafka is designed to cope with the high load. Use traditional message queues like RabbitMQ when you don't have a lot of data. Kafka is a great solution for delivering messages.
What is the difference between KSQL and ksqlDB?
For the purposes of this topic, “ksqlDB” refers to ksqlDB 0.6. 0 and beyond, and “KSQL” refers to all previous releases of KSQL (5.3 and lower). ksqlDB is not backward compatible with previous versions of KSQL. This means that, ksqlDB doesn't run over an existing KSQL deployment.
Does Netflix use Kafka?
Apache Kafka is an open-source streaming platform that enables the development of applications that ingest a high volume of real-time data. It was originally built by the geniuses at LinkedIn and is now used at Netflix , Pinterest and Airbnb to name a few.
What is the difference between Kafka and Kafka streams?
Summary. Apache Kafka is an event streaming application. ... Kafka Streams is an API for writing applications that transform and enrich data in Apache Kafka, usually by publishing the transformed data onto a new topic. The data processing itself happens within your application, not on a Kafka broker.
Why I recommend my clients not use KSQL and Kafka streams?
I recommend my clients not use Kafka Streams because it lacks checkpointing . Kafka Streams also lacks and only approximates a shuffle sort. KSQL sits on top of Kafka Streams and so it inherits all of these problems and then some more. Kafka isn't a database.
Can I query Kafka?
Yes, you can do it with interactive queries . You can create a kafka stream to read the input topic and generate a state store ( in memory/rocksdb and synchronize with kafka ). This state store is queryable by key ( ReadOnlyKeyValueStore ).
Is Kafka KSQL free?
Learn about KSQL on the Streaming Audio podcast. Get started with KSQL in Confluent Cloud and receive $200 of free usage each month for your first three months, plus an additional $60 of free usage when you use the promo code CL60BLOG*
Is Kafka a database?
Apache Kafka is a database . It provides ACID guarantees and is used in hundreds of companies for mission-critical deployments.
Is KSQL open source?
KSQL is an open-source, Apache 2.0 licensed streaming SQL engine on top of Apache Kafka which aims to simplify all this and make stream processing available to everyone. Even though it is simple to use, KSQL is built for mission-critical and scalable production deployments (using Kafka Streams under the hood).
What is KTable in Kafka?
Only the Kafka Streams DSL has the notion of a KTable . A KTable is an abstraction of a changelog stream, where each data record represents an update . ... Also, null values are interpreted in a special way: a record with a null value represents a “DELETE” or tombstone for the record's key.
How do you query in Kafka?
The only fast way to search for a record in Kafka (to oversimplify) is by partition and offset . The new producer class can return, via futures, the partition and offset into which a message was written. You can use these two values to very quickly retrieve the message.
