Book Image

Getting Started with CockroachDB

By : Kishen Das Kondabagilu Rajanna
Book Image

Getting Started with CockroachDB

By: Kishen Das Kondabagilu Rajanna

Overview of this book

Getting Started with CockroachDB will introduce you to the inner workings of CockroachDB and help you to understand how it provides faster access to distributed data through a SQL interface. The book will also uncover how you can use the database to provide solutions where the data is highly available. Starting with CockroachDB's installation, setup, and configuration, this SQL book will familiarize you with the database architecture and database design principles. You'll then discover several options that CockroachDB provides to store multiple copies of your data to ensure fast data access. The book covers the internals of CockroachDB, how to deploy and manage it on the cloud, performance tuning to get the best out of CockroachDB, and how to scale data across continents and serve it locally. In addition to this, you'll get to grips with fault tolerance and auto-rebalancing, how indexes work, and the CockroachDB Admin UI. The book will guide you in building scalable cloud services on top of CockroachDB, covering administrative and security aspects and tips for troubleshooting, performance enhancements, and a brief guideline on migrating from traditional databases. By the end of this book, you'll have gained sufficient knowledge to manage your data on CockroachDB and interact with it from your application layer.
Table of Contents (17 chapters)
1
Section 1: Getting to Know CockroachDB
4
Section 2: Exploring the Important Features of CockroachDB
9
Section 3: Working with CockroachDB
Appendix: Bibliography and Additional Resources

Tracking slow queries

It is important to know which queries are not performing as expected so that we can further investigate to find the actual cause for the slowness. Some queries can become slow when the data grows. So, it is important to benchmark some of the critical queries over time to make sure they are getting executed within the expected time. There are three major ways to identify and debug slow queries:

  • Use EXPLAIN and see if the query involves full scans and if so, see what kind of indexes you can create to avoid it. This holds true for table joins as well.
  • Turn on the slow query log for a specific latency threshold. In the following example, all queries whose latency is greater than or equal to 500 milliseconds will be logged in the slow query log:
    > SET CLUSTER SETTING sql.log.slow_query.latency_threshold = '500ms';
    SET CLUSTER SETTING
    Time: 120ms total (execution 120ms / network 0ms)
  • Integrate CockroachDB logging with tools such as OpenTelemetry...