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Displaying posts with tag: Tuning best practices (reset)
Compression options in MySQL (part 1)

Over the last year, I have been pursuing a part time hobby project exploring ways to squeeze as much data as possible in MySQL. As you will see, there are quite a few different ways. Of course things like compression ratio matters a lot but, other items like performance of inserts, selects and updates, along with the total amount of bytes written are also important. When you start combining all the possibilities, you end up with a large set of compression options and, of course, I am surely missing a ton. This project has been a great learning opportunity and I hope you’ll enjoy reading about my results. Given the volume of results, I’ll have to write a series of posts. This post is the first of the series. I also have to mention that some of my work overlaps work done by one of my colleague, Yura Sorokin, in a …

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Webinar Tues 19/6: MySQL: Scaling and High Availability – Production Experience from the Last Decade(s)


Please join Percona’s CEO, Peter Zaitsev as he presents MySQL: Scaling and High Availability – Production Experience Over the Last Decade(s) on Tuesday, June 19th, 2018 at 7:00 AM PDT (UTC-7) / 10:00 AM EDT (UTC-4).

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Percona is known as the MySQL performance experts. With over 4,000 customers, we’ve studied, mastered and executed many different ways of scaling applications. Percona can help ensure your application is highly available. Come learn from our playbook, and leave this …

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Webinar Weds 6/13: Performance Analysis and Troubleshooting Methodologies for Databases

Please join Percona’s CEO, Peter Zaitsev as he presents Performance Analysis and Troubleshooting Methodologies for Databases on Wednesday, June 13th, 2018 at 11:00 AM PDT (UTC-7) / 2:00 PM EDT (UTC-4).

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Have you heard about the USE Method (Utilization – Saturation – Errors)? RED (Rate – Errors – Duration), or Golden Signals (Latency – Traffic – Errors – Saturations)?

In this presentation, we will talk briefly about these different-but-similar “focuses”. We’ll discuss how we can apply them to data infrastructure performance analysis, troubleshooting, and monitoring.

We will use MySQL as an …

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Showing entries 1 to 3