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Displaying posts with tag: Benchmarks (reset)
Correcting MariaDB ColumnStore Benchmarks

With MariaDB ColumnStore 1.1 Beta now released I quickly checked Twitter today to see what the response so far has been. I noticed that someone had posted up a benchmark comparison of MariaDB ColumnStore against a couple of other databases with data that doesn’t quite add up.

You can see the blog post here. I can’t say much for the other two databases but the results and testing itself for ColumnStore did not seem right so I thought I would try them myself here.

The author was using a Ubuntu 14.04 VM with 8GB RAM. To make this test as fair as possible I decided to take my 2012 Intel i5 Lenovo X220 and run the VM I gave to participants at a …

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Percona Live Europe Featured Talks: Modern sysbench – Teaching an Old Dog New Tricks with Alexey Kopytov

Welcome to another post in our series of interview blogs for the upcoming Percona Live Europe 2017 in Dublin. This series highlights a number of talks that will be at the conference and gives a short preview of what attendees can expect to learn from the presenter.

This blog post is with Alexey Kopytov, sofware developer and maintainer of sysbench. His talk is Modern sysbench: Teaching an Old Dog New Tricks. His presentation present new features provided by recent releases and explain how they can be used to create complex benchmark scenarios and collect performance metrics with a simple Lua API. It will also run a live demo of some of …

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Looking at Disk Utilization and Saturation

In this blog post, I will look at disk utilization and saturation.

In my previous blog post, I wrote about CPU utilization and saturation, the practical difference between them and how different CPU utilization and saturation impact response times. Now we will look at another critical component of database performance: the storage subsystem. In this post, I will refer to the storage subsystem as “disk” (as a casual catch-all). 

The most common tool for command line IO performance monitoring is

iostat

, which shows information like this:

root@ts140i:~# iostat -x nvme0n1 5
Linux 4.4.0-89-generic (ts140i)         08/05/2017      _x86_64_        (4 CPU)
avg-cpu:  %user   %nice %system %iowait  %steal   %idle
          0.51    0.00    2.00    9.45    0.00   88.04
Device:         rrqm/s …
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Gh-ost benchmark against pt-online-schema-change performance

In this blog post, I will run a gh-ost benchmark against the performance of pt-online-schema-change.

When gh-ost came out, I was very excited. As MySQL ROW replication became commonplace, you could use it to track changes instead of triggers. This practice is cleaner and safer compared to Percona Toolkit’s pt-online-schema-change. Since gh-ost doesn’t need triggers, I assumed it would generate lower overhead and work faster. I frequently called it “pt-online-schema-change on steroids” in my talks. …

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ClickHouse: One Year!

In this blog, we’ll look at ClickHouse on its one year anniversary.

It’s been a year already since the Yandex team released ClickHouse as open source software. I’ve had an interest in this project from the very start, as I didn’t think there was an open source analytical database that could compete with industry leaders like Vertica (for example).

This was an exciting year for ClickHouse early adopters. Let’s look at what it accomplished so far.

ClickHouse initially generated interest due to the Yandex name – the most popular search engine in Russia. It wasn’t long before jaw-dropping responses popped up: guys, this thing is crazy fast! Many early adopters who tried ClickHouse were really impressed.

Fast doesn’t mean convenient …

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ClickHouse in a General Analytical Workload (Based on a Star Schema Benchmark)

In this blog post, we’ll look at how ClickHouse performs in a general analytical workload using the star schema benchmark test.

We have mentioned ClickHouse in some recent posts (ClickHouse: New Open Source Columnar Database, Column Store Database Benchmarks: MariaDB ColumnStore vs. Clickhouse vs. Apache Spark), where it showed excellent results. ClickHouse by itself seems to be event-oriented RDBMS, as its name suggests (clicks). Its primary purpose, using Yandex Metrica (the system similar to Google Analytics), also points to an event-based nature. We also can see there is …

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Percona Software and Roadmap Update with CEO Peter Zaitsev: Q2 2017

This blog post is a summary of the Percona Software and Roadmap Update – Q2 2017 webinar given by Peter Zaitsev on May 4, 2017. This webinar reflects changes and updates since the last update (Q1 2017).

A full recording of this webinar, along with the presentation slide deck, can be found here.

Percona Software

Below are the latest and upcoming features in Percona’s software. All of Percona’s software is 100% free and open source, with no …

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Storing UUID and Generated Columns

A lot of things have been said about UUID, and storing UUID in an optimized way. Now that we have generated columns, we can store the decomposed information inside the UUID and merge it again with generated columns. This blog post demonstrates this process.

First, I used a simple table with one char field that I called uuid_char to establish a base case. I used this table with and without a primary key:

CREATE TABLE uuid_char (
uuid char(36) CHARACTER SET utf8 NOT NULL,
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE uuid_char_pk (
uuid char(36) CHARACTER SET utf8 NOT NULL,
PRIMARY KEY (uuid)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;

I performed the tests on a local VM over MySQL 5.7.17 for 30 seconds, with only two …

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Percona Live 2017 Tutorials Day

Welcome to the first day of the Percona Live Open Source Database Conference: Percona Live 2017 tutorials day! While technically the first day of the conference, this day focused on provided hands-on tutorials for people interested in learning directly how to use open source tools and technologies.

Today attendees went to training sessions taught by open source database experts and got first-hand experience configuring, working with, and experimenting with various open source technologies and software.

The first full day (which includes opening keynote speakers and breakout sessions) starts Tuesday 4/25 at 9:00 am.

Some of the …

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ProxySQL Rules: Do I Have Too Many?

In this blog post we are going to take a closer look at ProxySQL rules. How do they work, and how big is the performance impact of having many rules?

I would like to say thank you to Renè, who was willing to answer all my questions during my tests.

Overview

ProxySQL is heavily based on the query rules. We can set up ProxySQL without rules based only on the host groups, but if we want read/write splitting or sharding (or anything else) we need rules.

ProxySQL knows the SQL protocol and language, so we can easily create rules based on username, schema name and even on the query itself. We can write regular expressions that match the query digest. Let me show you an example:

insert into mysql_query_rules …
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