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Distributed SQL

Four Data Sharding Strategies We Analyzed in Building a Distributed SQL Database

Four Data Sharding Strategies We Analyzed in Building a Distributed SQL Database

A distributed SQL database needs to automatically partition the data in a table and distribute it across nodes. This is known as data sharding and it can be achieved through different strategies, each with its own tradeoffs. In this post, we will examine various data sharding strategies for a distributed SQL database, analyze the tradeoffs, explain the rationale for which of these strategies YugabyteDB supports and what we picked as the default sharding strategy.

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Getting Started with DbSchema on a Distributed SQL Database

Getting Started with DbSchema on a Distributed SQL Database

If you’re a database developer, you know the time saving value of being able to visually design, document and query SQL and NoSQL databases from a single UI. DbSchema is a well-rounded, visual database tool that supports over 40 databases from a single interface. Because YugabyteDB is PostgreSQL compatible, getting DBSchema to work with a distributed SQL database is relatively simple.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner.

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Implementing PostgreSQL User-Defined Table Functions in YugabyteDB

Implementing PostgreSQL User-Defined Table Functions in YugabyteDB

Welcome to part two of a three-part series of posts on PostgreSQL’s table functions. These functions can be easily leveraged in a distributed SQL database like YugabyteDB, which is PostgreSQL compatible.

In part one I gave a brief introduction to PostgreSQL’s table functions. Part three will cover some realistic use cases. I’ll introduce this second post by quoting that paragraph:

A regular language plpgsql user-defined function is implemented using the plain return statement.

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YugabyteDB Engineering Update – Dec 9, 2019

YugabyteDB Engineering Update – Dec 9, 2019

We are pleased to announce that YugabyteDB 2.0.7 is live!  You can read the official release notes of this and previous versions here. This release is shipping with almost 30 new enhancements and bug fixes.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. Yugabyte’s SQL API (YSQL) is PostgreSQL wire compatible

YugabyteDB 2.0.7 Release Notes

YSQL

  • Transparent read restarts for general queries.

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Announcing YugabyteDB 2.0 GA: Jepsen Tested, High-Performance Distributed SQL

Announcing YugabyteDB 2.0 GA: Jepsen Tested, High-Performance Distributed SQL

We are excited to announce the general availability of YugabyteDB 2.0! The highlight of this release is that it delivers production readiness for Yugabyte SQL (YSQL), our high-performance, fully-relational distributed SQL API. For those of you new to distributed SQL, YugabyteDB is a Google Spanner-inspired, cloud-native distributed SQL database that is 100% open source. It puts a premium on high performance, data resilience, geographic distribution while ensuring PostgreSQL compatibility.

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Best Practices and Recommendations for Distributed SQL on Kubernetes

Best Practices and Recommendations for Distributed SQL on Kubernetes

YugabyteDB and Kubernetes have very complementary design principles because they both rely on an extensible and flexible API layer, as well as a scale-out architecture for performance and availability. In this blog post we’ll look at best practices and recommendations when choosing Kubernetes as the cluster foundation for a distributed SQL system. This will begin with a review of relevant architectural decisions of the YugabyteDB. Then we’ll walk you through how to handle the provisioning,

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PostgreSQL How To: Installing the Chinook Sample DB on a Distributed SQL Database

PostgreSQL How To: Installing the Chinook Sample DB on a Distributed SQL Database

In this post we are going to walk you through how to download and install the PostgreSQL version of the Chinook sample DB on the YugabyteDB distributed SQL database with a replication factor of 3.

What’s YugabyteDB? It’s a high performance distributed SQL database for global, internet-scale apps. YugabyteDB is a PostgreSQL-compatible database. Similar to Google Spanner, YugabyteDB gives you all the scalability characteristics of NoSQL, without sacrificing the ACID transactions or strong consistency you are accustomed to with PostgreSQL.

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YugabyteDB Engineering & Community Update – July 19, 2019

YugabyteDB Engineering & Community Update – July 19, 2019

We are pleased to announce that YugabyteDB 1.3.0 is live! You can read the release notes of this and previous versions here. This release is shipping with 24 new features, enhancements and bug fixes. Beyond enhancements and fixes, the other big news is that we have open sourced the entire core database code! This means that previously closed features like distributed backups, data encryption and replicas are now open sourced. This also means that upcoming features like change data capture and 2 datacenter deployments will open source as well.

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Why We Changed YugabyteDB Licensing to 100% Open Source

Why We Changed YugabyteDB Licensing to 100% Open Source

We are excited to announce that YugabyteDB is now 100% open source under the Apache 2.0 license. This means previously closed-source, commercial, enterprise features such as Distributed Backups, Data Encryption, and Read Replicas are now available in the open source project and are completely free to use. The same applies to upcoming new features like Change Data Capture and 2 Data Center Deployments. The result of this change is that we no longer have a Community Edition and an Enterprise Edition of YugabyteDB.

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