Release time! ksqlDB 0.27 is here, touting:
- Support for @apachekafka topics with multiple schemas
- Pull queries that speak Protobuf
- New directives to assert topic and schema prerequisites
- Aggregations without grouping
Read more from the team, here: https://t.co/uh5B5veAM2
Deep dive into @ksqlDB with @MatthiasJSax is now LIVE on The GeekNarrator youtube channel. We have covered a lot of ground, so sit tight, relax and enjoy the episode. Also please (if you haven't yet), subscribe to the channel https://t.co/8H3CyDVECP #Kafka
ksqlDB 0.28.2 is here! https://t.co/IosjoEaZe1
This release also includes significant improvements in Confluent Cloud, including Terraform support, faster provisioning, larger clusters, better observability, and an automatic topic import wizard:
ksqlDB 0.26 has launched with support for RIGHT joins, multi-message Protobuf schemas, improvements to dereferencing, and more!
Check out the team's release post for the full story: https://t.co/Z36mT7zZuo
This week’s podcast is framed as a Flink vs Kafka Streams vs ksqlDB debate, but if you ask me the winner is anyone who learns some new stream-processing techniques. 😀
Comparing Stream Processing Tools https://t.co/DCYw0dRMoU with @MatthiasJSax and @jwfbean.
.@krisajenkins welcomes @TheDanicaFine back to #StreamingAudio, where she explains how she used @ksqlDB Raspberry Pi, and other tools to hack together a practical @apachekafka-based data pipeline that alerts her phone when her houseplants need watering🌱 https://t.co/rRIhoARDl8
Tomorrow we will be doing an open office hours session via Zoom at 9am PT (GMT-7). Any and all are welcome to come with questions and feedback, or just to hang out for a bit. Zoom link will be shared before the session. We'll see you there!
We are pleased to announce ksqlDB 0.25.1! It adds support for passing Structs, Arrays, and Maps to certain core aggregate functions, adds at-least-once delivery for the Java client's push query API, and more.
Check out the announcement for more details:
https://t.co/XaWslzo9Fr
ksqlDB 0.24 is here! It touts highly-requested features for manipulating JSON, reading @apachekafka headers, applying specific Schema Registry schemas, limiting pull query results, and more.
Check out the announcement for the details: https://t.co/TQsIecYAVI
🗞️ ksqlDB 0.23 is officially live! Headlines:
- Easily pinpoint records in your @apachekafka topic using pull queries over streams
- Leverage Kafka offset and partition information on query results
- Fine-tune join results with new grace period support
https://t.co/vgUPFVF2tp
How do you share unique subsets of @apachekafka topic data with many thousands of concurrent clients? Server-side filtering has long been a challenging task.
As of yesterday, ksqlDB has a unique solution to it. https://t.co/kn0ULK93Hm
🎁 Say hello to ksqlDB 0.22! This release:
- Makes it trivial to query materializations of @apachekafka topics
- Dramatically improves range scan performance
- Largely increases how many concurrent push queries you can run
Read the full notes: https://t.co/LWOUy3TgvD