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Displaying posts with tag: innodb (reset)
New MariaDB Dashboard in Percona Monitoring and Management Metrics Monitor

In honor of the upcoming MariaDB M17 conference in New York City on April 11-12, we have enhanced Percona Monitoring and Management (PMM) Metrics Monitor with a new MariaDB Dashboard and multiple new graphs!

The Percona Monitoring and Management MariaDB Dashboard builds on the efforts of the MariaDB development team to instrument the Aria Storage Engine Status Variables related to Aria Pagecache and Aria Transaction Log activity, the tracking of Index Condition Pushdown (ICP), InnoDB Online DDL when using ALTER TABLE ... ALGORITHM=INPLACE, InnoDB Deadlocks …

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Percona Server for MySQL 5.7.17-12 is Now Available

Percona announces the GA release of Percona Server for MySQL 5.7.17-12 on March 24, 2017. Download the latest version from the Percona web site or the Percona Software Repositories. You can also run Docker containers from the images in the Docker Hub repository.

Based on MySQL 5.7.17, including all the bug fixes in it, Percona Server for MySQL 5.7.17-12 is the current GA release in the Percona Server for MySQL 5.7 series. Percona’s …

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Better InnoDB Crash Recovery in MariaDB 10.1

Recently, I had to go through crash recovery of a large MariaDB 10.1.21 instance.  After starting MariaDB, I started tailing the error logs expecting to wait many minutes while InnoDB was scanning ibd files.  I was surprised (and actually delighted) with this:

[...] [...]:34:36 [...] [Note] InnoDB: Reading tablespace information from the .ibd files... [...]:34:53 [...] [Note] InnoDB: Processed

Optimistic Incremental Backup

MySQL Enterprise Backup Team is pleased to announce major improvements in incremental backup performance starting with release 4.1.

Introduction

The current incremental backup algorithm scans all the tables to gather changed pages even if very few tables are modified since the previous backup and thus results in a 'full-scan' incremental backup. This may result in increment backups requiring the same amount of time as full backup because it scans all the tables. The new algorithm aims to eliminate this extra time.

The new algorithm scans only those tables that have been modified since the previous backup. This algorithm relies on modification time, which is similar to an earlier improvement made for full backup. That full backup algorithm is known as optimistic full backup, hence new improvement is named …

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Open Source Databases on Big Machines: Disk Speed and innodb_io_capacity

In this blog post, I’ll look for the bottleneck that prevented the performance in my previous post from achieving better results.

The powerful machine I used in the tests in my previous post has a comparatively slow disk, and therefore I expected my tests would hit a point when I couldn’t increase performance further due to the disk speed.

Hardware configuration:

Processors: physical = 4, cores = 72, virtual = 144, hyperthreading = yes
Memory: 3.0T
Disk speed: about 3K …

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MySQL Tablespace Encryption ( TDE )

In this blog we are going to explore about innodb tablespace encryption technique, which will be useful for securing data.

In MySQL 5.7, a new feature “Innodb Tablespace Encryption“has been added to protect the data at rest. This is a most awaited feature in security. This encryption supports all file per table tablespaces and it will not  support shared tablespace. This encryption technique works on the basis of rotating  key files. There are two types of keyring plugins available for the key management and they are given below

  • keyring_file plugin – Available in all MySQL versions.
  • keyring_okv plugin – Available in MySQL Enterprise Edition.

Architecture:

Innodb tablespace encryption uses two tier encryption architecture, in which it has master encryption key …

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Percona Server for MySQL 5.7.17-11 is now available

Percona announces the GA release of Percona Server for MySQL 5.7.17-11 on February 3, 2017. Download the latest version from the Percona web site or the Percona Software Repositories.

Based on MySQL 5.7.17, including all the bug fixes in it, Percona Server for MySQL 5.7.17-11 is the current GA release in the Percona Server for MySQL 5.7 series. Percona’s provides completely open-source and free software. Find release details in the …

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Percona Live Featured Tutorial with Frédéric Descamps — MySQL InnoDB Cluster & Group Replication in a Nutshell: Hands-On Tutorial

Welcome to another post in the series of Percona Live featured tutorial speakers blogs! In these blogs, we’ll highlight some of the tutorial speakers that will be at this year’s Percona Live conference. We’ll also discuss how these tutorials can help you improve your database environment. Make sure to read to the end to get a special Percona Live 2017 registration bonus!

In this Percona Live featured tutorial, we’ll meet Frédéric Descamps, MySQL Community Manager at Oracle. Frédéric is probably better known in the community as “LeFred” (Twitter: @lefred)! His tutorial is …

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Webinar Wednesday January 25, 2017: Percona Server for MySQL 5.7 Key Performance Algorithms

Please join Laurynas Biveinis, Percona’s Technical Director – Engineering, on January 25, 2017, at 7 am EST (UTC-8) as he discusses “Percona Server for MySQL 5.7: Key Performance Algorithms.”

In this webinar, Laurynas will discuss selected areas of InnoDB and Percona Server for MySQL 5.7 internals as they relate to buffer pool management and flushing (from a performance and scalability point of view). He will describe the motivation behind the buffer pool mutex split, multi-threaded LRU flusher and parallel doublewrite features in Percona Server for MySQL 5.7, given that MySQL InnoDB 5.7 has re-implemented many of the same features found in Percona Server for MySQL – especially …

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The Impact of Swapping on MySQL Performance

In this blog, I’ll look at the impact of swapping on MySQL performance. 

It’s common sense that when you’re running MySQL (or really any other DBMS) you don’t want to see any I/O in your swap space. Scaling the cache size (using

innodb_buffer_pool_size

 in MySQL’s case) is standard practice to make sure there is enough free memory so swapping isn’t needed.   

But what if you make some mistake or miscalculation, and swapping happens? How much does it really impact performance? This is exactly what I set out to investigate.

My test system has the following:

  • 32GB of physical memory
  • OS (and swap space) on a (pretty old) Intel 520 SSD device
  • Database stored on Intel 750 NVMe storage

To simulate a worst case scenario, I’m using Uniform Sysbench Workload:

sysbench …
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