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Displaying posts with tag: database (reset)
Amazon Aurora MySQL Monitoring with Percona Monitoring and Management (PMM)

In this blog post, we’ll review additional Amazon Aurora MySQL monitoring capabilities we’ve added in Percona Monitoring and Management (PMM) 1.7.0. You can see them in action in the MySQL Amazon Aurora Metrics dashboard.

Amazon Aurora MySQL Transaction Commits

This graph looks at the number of commits the Amazon Aurora engine performed, as well as the average commit latency. As you can see from this graph, latency does not always correlate with the number of commits performed and can be quite high in certain situations.

Amazon Aurora MySQL …

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Tutorial Schedule for Percona Live 2018 Is Live

Percona has revealed the line-up of in-depth tutorials for the Percona Live 2018 Open Source Database Conference, taking place April 23-25, 2018 at the Santa Clara Convention Center in Santa Clara, Calif. Secure your spot now with Advanced Registration prices (available until March 4, 2018). Sponsorship opportunities for the conference are still available.

Percona Live 2018 Open Source Database Conference is the premier open source database event. The theme for the upcoming conference is “Championing Open Source Databases,” with a range of topics on …

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ProxySQL Query Cache: What It Is, How It Works

In this blog post, I’ll present the ProxySQL query cache functionality. This is a query caching mechanism on top of ProxySQL. As there are already many how-tos regarding the ProxySQL prerequisites and installation process, we are going to skip these steps. For those who are already familiar with ProxySQL query cache configuration, let’s go directly to the query rules and the performance results.

Before talking about the ProxySQL query cache, let’s take a look at other caching mechanisms available for MySQL environments.

MySQL query cache is a query caching mechanism – deprecated as of MySQL 5.7.20 and removed in MySQL 8.0 – on top of MySQL itself (based on the official MySQL documentation).

The MySQL query cache stores the text of a SELECT statement together with the corresponding result sent to the client. If an identical statement is …

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Announcing Experimental Percona Monitoring and Management (PMM) Functionality via Percona Labs

In this blog post, we’ll introduce how you can look at some experimental Percona Monitoring and Management (PMM) features using Percona Labs builds on GitHub.

Note: PerconaLabs and Percona-QA are open source GitHub repositories for unofficial scripts and tools created by Percona staff. While not covered by Percona support or services agreements, these handy utilities can help you save time and effort.

Percona software builds located in the PerconaLabs and Percona-QA repositories are not officially released software, and also aren’t covered by Percona support or services agreements. 

Percona Monitoring and Management (PMM) is a free and open-source platform for managing and …

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Four Ways MySQL Executes GROUP BY

In this blog post, I’ll look into four ways MySQL executes GROUP BY. 

In my previous blog post, we learned that indexes or other means of finding data might not be the most expensive part of query execution. For example, MySQL GROUP BY could potentially be responsible for 90% or more of the query execution time. 

The main complexity when MySQL executes GROUP BY is computing aggregate functions in a GROUP BY statement. How this works is shown in the documentation for UDF Aggregate Functions. As we see, the requirement is that UDF functions get all values that constitute the single group one …

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Using MySQL 5.7 Generated Columns to Increase Query Performance

In this blog post, we’ll look at ways you can use MySQL 5.7 generated columns (or virtual columns) to improve query performance.

Introduction

About two years ago I published a blog post about Generated (Virtual) Columns in MySQL 5.7. Since then, it’s been one of my favorite features in the MySQL 5.7 release. The reason is simple: with the help of virtual columns, we can create fine-grained indexes that can significantly increase query performance. I’m going to show you some tricks that can potentially fix slow reporting queries with GROUP BY and ORDER BY.

The Problem

Recently I was working with a customer who was struggling with this query:

SELECT
CONCAT(verb, ' - …
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Updating/Deleting Rows From Clickhouse (Part 2)

In this post, we’ll look at updating and deleting rows with ClickHouse. It’s the second of two parts.

In the first part of this post, we described the high-level overview of implementing incremental refresh on a ClickHouse table as an alternative support for UPDATE/DELETE. In this part, we will show you the actual steps and sample code.

Prepare Changelog Table

First, we create the changelog table below. This can be stored on any other MySQL instance separate from the source of our analytics table. When we run the change capture script, it will record the data on this table that we can consume later with the incremental refresh script:

CREATE TABLE `clickhouse_changelog` (
  `db` varchar(255) NOT NULL …
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Updating/Deleting Rows with ClickHouse (Part 1)

In this post, we’ll look at updating and deleting rows with ClickHouse. It’s the first of two parts.

Update: Part 2 of this post is here.

ClickHouse is fast – blazing fast! It’s quite easy to pick up, and with ProxySQL integrating with existing applications already using MySQL, it’s way less complex than using other analytics options. However, ClickHouse does not support UPDATE/DELETE (yet). That entry barrier can easily dissuade potential users despite the good things I mentioned.

If there is a will, there is a way! We have so far taken advantage of the new feature that supports more granular partitioning strategy (by week, by day or something else). With more …

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Webinar Wednesday, January 10, 2018: Why We’re Excited About MySQL 8.0

Join Percona’s, CEO and Co-Founder, Peter Zaitsev as he presents Why We’re Excited About MySQL 8.0 on Wednesday, January 10, 2018, at 11:00 am PST / 2:00 pm EST (UTC-8).

Experience: Basic

Tags: Developer, DBAs, Operations, Executive, MySQL

There are many great new features in MySQL 8.0, but how exactly can they help your applications? This session takes a practical look at MySQL 8.0 features and improvements. It looks at the bugs, issues and limitations of previous MySQL versions and how MySQL 8.0 addresses them. It will also cover what you can do with MySQL 8.0 that you couldn’t before.

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Using ioping to Evaluate Storage Performance for MySQL Workloads

In this blog post, we’ll look at how ioping can be used with other tools to understand and troubleshoot storage performance, specifically as it relates to MySQL workloads.

I recently ran into ioping, a nice little utility by Konstantin Khlebnikov that checks storage latency.  

For me, the main beauty of ioping is its simplicity and familiarity. It takes after the ubiquitous ping tool, but “pings” the storage instead of the network device.

First, let’s talk about what this tool isn’t: it isn’t a benchmark tool to stress load your storage as heavily as possible. For that, you can use iozone or sysbench (among many others). This also isn’t a tool for looking at …

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