Distributed SQL Tips and Tricks for PostgreSQL and Oracle DBAs – Aug 2020

In this article, take a look at distributed SQL tips for PostgreSQL and Oracle DBAs. Welcome to this week’s tips and tricks blog where we explore both beginner and advanced YugabyteDB topics for PostgreSQL and Oracle DBAs. First things first, for those of you who might be new to either distributed SQL or YugabyteDB.

What Is Distributed SQL?

Distributed SQL databases are becoming popular with organizations interested in moving data infrastructure to the cloud or cloud native environments. This is often motivated by the desire to reduce TCO or move away from the horizontal scaling limitations of monolithic RDBMS like Oracle, PostgreSQL, MySQL, and SQL Server. The basic characteristics of Distributed SQL are:

• They must have a SQL API for querying and modeling data, with support for traditional RDBMS features like foreign keys, partial indexes, stored procedures, and triggers.
• Smart distributed query execution so that query processing is pushed closer to the data as opposed to data being pushed over the network and thus slowing down query response times.
• Should support automatic and transparent distributed data storage. This includes indexes which should be sharded across multiple nodes of the cluster so that no single node becomes a bottleneck. Data distribution ensures high performance and high availability.
• Distributed SQL systems should also provide for** strongly consistent replication** and distributed ACID transactions.

For a deeper discussion about what Distributed SQL is, check out,  “What is Distributed SQL?”

What’s YugabyteDB?

YugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB is PostgreSQL wire compatible, cloud native, offers deep integration with GraphQL projects, plus supports advanced RDBMS features like stored procedures, triggers, and UDFs.

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SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.

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