At Distributed SQL Summit Asia, Qin Yu – VP, Engineering, Xignite – presented a talk on how Xignite uses YugabyteDB to power its technology infrastructure to meet the current and future data needs of its financial services and fintech customers.
Welcome back to our bi-weekly tips and tricks blog where I have the pleasure of recapping some distributed SQL questions from around the Internet. This blog series would not be possible without all of the behind the scenes and community work done by YugabyteDB members such as Dorian Hoxha and Frits Hoogland. All of us here at Yugabyte also have to thank our incredible user community for their work with the technology,
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YugabyteDB is a distributed, fault tolerant and highly available database with extremely low latencies for reads and writes. Data in YugabyteDB is sharded, replicated and balanced across multiple nodes that can potentially be in different availability zones, regions or even clouds for that matter. In this blog post, we look at how data balancing happens in YugabyteDB and some of the key features of YugabyteDB’s “Cluster Balancer.”
The cluster balancer runs once every second.
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Hasura is a leading vendor in the GraphQL ecosystem, offering a powerful alternative to REST for building microservices and mobile applications. Hasura’s open source GraphQL Engine connects to your database and instantly auto-generates a production-ready GraphQL API backend. YugabyteDB, the open source distributed SQL database, is a perfect complement to GraphQL giving you horizontal scalability, fault tolerance, and global data distribution in a single system. YugabyteDB eliminates many of the scaling and resilience limitations of a traditional monolithic RDBMS.
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YugabyteDB is built primarily to be a CP database per the CAP theorem. It supports two interfaces – YSQL for SQL workloads and YCQL for Cassandra-like workloads. In this blog, we will primarily talk about the YCQL interface. When an application interacts with the database using the YCQL interface, the writes are always consistent and reads are consistent by default. When this level of consistency is not required, YugabyteDB supports two other types of reads:
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We understand that database migrations can be painful. We have helped users successfully migrate from MySQL to YugabyteDB, a PostgreSQL-compatible distributed SQL database. A very popular tool to accomplish this task is pgloader. In this post, we will cover how to migrate both your MySQL schema as well as data to YugabyteDB.
Before starting the migration there are a few prerequisites you’ll need to address.
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Welcome back to our bi-weekly tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published recently. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stack Overflow. Let’s dive in:
When looking to pool your connections with YugabyteDB many users take a look at PgBouncer,
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Using Vagrant, anyone running Windows, Linux or Mac OS X can run and test drive a YugabyteDB cluster without the need to install and configure YugabyteDB. Plus, you can start over if you want to test something different in a matter of minutes, or scale up the cluster, etc.
Please mind that the Vagrant images are non-official images for demo and test purposes, and not configured nor representative for performance.
This is how it works (Mac OS X):
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Welcome back to our bi-weekly tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published recently. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stack Overflow. Let’s dive in:
When deploying a YugabyteDB cluster on a cloud,
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We recently presented the live webinar on how to run distributed SQL databases on Kubernetes. This session focused on the design of stateful workloads in Kubernetes, the architecture and deployment of YugabyteDB in Kubernetes, and best practices to run cloud native stateful workloads with a real-world example.
In this blog post, we provide the playback recording and slides, and recap some highlights from the presentation.
If you have additional questions about running the YugabyteDB distributed SQL database on Kubernetes,
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