Spark Structured Streaming with Scylla Hello again! Following up on our previous post on saving data to Scylla, this time, we’ll discuss using Spark Structured Streaming with Scylla and see how streaming workloads can be written in to ScyllaDB. This is the fourth part of our four part series. Make sure you check out all the prior blogs! Our code samples repository for this post contains an example project along with a docker-compose.yaml file with the necessary infrastructure for running the it. We’re going to use the infrastructure to run the code samples throughout the post and run the project itself, […]
The Scylla team is pleased to announce the release of Scylla 2.3, a production-ready Scylla Open Source minor release. The Scylla 2.3 release includes CQL enhancements, new troubleshooting tools, performance improvements and more. Experimental features include Materialized Views, Secondary Indexes, and Hinted Handoff (details below). Starting from Scylla 2.3, packages are also available for Ubuntu 18.04 and Debian 9. Scylla is an open source, Apache Cassandra-compatible NoSQL database, with superior performance and consistently low latency. Find the Scylla 2.3 repository for your Linux distribution here. Our open source policy is to support only the current active release and its predecessor. […]
In this post we discuss the enhanced filtering support coming in Scylla 2.4 and compare it to the recommended alternatives and their performance.
In this installment of the MMS series, we take a look at Materialized Views. Material Views automate the tedious and inefficient work that must be done when an application maintains several tables with the same data that’s organized differently.
The developers of Scylla are working hard so that Scylla will not only have unparalleled performance (see our benchmarks) and reliability, but also have the features that our users want or expect for compatibility with the latest version of Apache Cassandra. The latest of these new features is Materialized Views, which will be an experimental feature in the upcoming Scylla release 2.0. Because this feature is experimental, users are invited to try it in non-production environments. The initial implementation has limitations which are discussed at the end of this blog and will be addressed in later versions of Scylla. The […]