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Showing entries 1 to 12

Displaying posts with tag: Ernie Souhrada (reset)

TIMESTAMP Columns, Amazon RDS 5.6, and You
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This comes from an issue that I worked on recently, wherein a customer reported that their application was working fine under stock MySQL 5.6 but producing erroneous results when they tried running it on Amazon RDS 5.6. They had a table which, on the working server, contained two TIMESTAMP columns, one which defaulted to CURRENT_TIMESTAMP and the other which defaulted to ’0000-00-00 00:00:00′, like so:

CREATE TABLE mysql56 (
  id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
  ts1 TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  ts2 TIMESTAMP NOT NULL DEFAULT '0000-00-00 00:00:00',
);

However, under Amazon RDS, the same table looked like this:

CREATE TABLE rds56 ( 
  id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
  ts1 TIMESTAMP NULL DEFAULT NULL,
  ts2 TIMESTAMP NULL DEFAULT NULL, 
);

They

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Heartbleed: Separating FAQ From FUD
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If you’ve been following this blog (my colleague, David Busby, posted about it yesterday) or any tech news outlet in the past few days, you’ve probably seen some mention of the “Heartbleed” vulnerability in certain versions of the OpenSSL library.

So what is ‘Heartbleed’, really?

In short, Heartbleed is an information-leak issue. An attacker can exploit this bug to retrieve the contents of a server’s memory without any need for local access. According to the researchers that discovered it, this can be done without leaving any trace of compromise on the system. In other words, if you’re vulnerable, they can steal your keys and you won’t even notice that they’ve gone missing. I use the word

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MySQL encryption performance, revisited
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This is part two on a two-part series on the performance implications of in-flight data encryption with MySQL. In the first part, I focused specifically on the impact of using MySQL’s built-in SSL support with some rather surprising results. Certainly it was expected that query throughput would be lower with SSL than without, but I was rather surprised by the magnitude of the performance hit incurred at connection setup time. These results naturally lended themselves to some further investigation; in particular, I wanted to compare performance differences between MySQL’s built-in SSL encryption facilities and external encryption technologies, such as SSH tunneling. I’ll also be using this post to address a couple of questions posed in the comments on my

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SSL Performance Overhead in MySQL
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NOTE: This is part 1 of what will be a two-part series on the performance implications of using in-flight data encryption.

Some of you may recall my security webinar from back in mid-August; one of the follow-up questions that I was asked was about the performance impact of enabling SSL connections. My answer was 25%, based on some 2011 data that I had seen over on yaSSL’s website, but I included the caveat that it is workload-dependent, because the most expensive part of using SSL is establishing the connection. Not long thereafter, I received a request to conduct some more specific benchmarks surrounding SSL usage in MySQL,

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MySQL Security Webinar: Follow-up Q&A
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Thanks to everyone who attended last week’s webinar on MySQL security; hopefully you’ve all gone out and set SELinux to enforcing mode if you weren’t already running that way. If you weren’t able to attend, the recording and slides are available for viewing/download. But now, without further ado, here are the questions which we didn’t have time to cover during the presentation.

Q: Do you have a favorite software firewall you recommend that I can run on an EC2 instance in

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MySQL Security: Armoring Your Dolphin
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My colleague and teammate Ernie Souhrada will be presenting a webinar on Wednesday, August 21, 2013 at 10 a.m. PDT titled “MySQL Security: Armoring Your Dolphin.”

This is a popular topic with news breaking routinely that yet another Internet company has leaked private data of one form or another. Ernie’s webinar will be a

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InnoDB Full-text Search in MySQL 5.6: Part 3, Performance
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This is part 3 of a 3 part series covering the new InnoDB full-text search features in MySQL 5.6. To catch up on the previous parts, see part 1 or part 2

Some of you may recall a few months ago that I promised a third part in my InnoDB full-text search (FTS) series, in which I’d actually take a look at the performance of InnoDB FTS in MySQL 5.6 versus traditional MyISAM FTS. I hadn’t planned on quite such a gap between part 2 and part 3, but as they say, better late than never. Recall that we have been working with two data sets, one which I call SEO (8000-keyword-stuffed web pages) and the other which I call

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Choosing a MySQL HA Solution – Post-Webinar Q&A
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Thanks to everyone who was in attendance on 05 June 2013 for my “Choosing a MySQL HA Solution” webinar. If you weren’t able to make it but are interested in listening to the presentation, it’s currently up and available for viewing over at percona.com.

My apologies if we weren’t able to get to your question during the initial session, so I’ll address those lingering questions in this post, along with providing a bit more detail on some of the questions that I did cover during the session.

Q: What

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Choosing a MySQL HA Solution – MySQL Webinar: June 5
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Selecting the most appropriate solution for a MySQL HA infrastructure is as much a business and philosophical decision as it is a technical one, but often the choice is made without adequately considering all three perspectives.  When too much attention is paid to one of these aspects at the cost of the others, the resulting system may be over-engineered, poorly-performing, and/or various other flavors of suboptimal.

On Wednesday, June 5, at 10 a.m. PDT (1700 UTC), I will be presenting a webinar entitled, Choosing a MySQL HA Solution, in

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Virident vCache vs. FlashCache: Part 2
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This is the second part in a two-part series comparing Virident’s vCache to FlashCache. The first part was focused on usability and feature comparison; in this post, we’ll look at some sysbench test results.

Disclosure: The research and testing conducted for this post were sponsored by Virident.

First, some background information. All tests were conducted on Percona’s Cisco UCS C250 test machine, and both the vCache and FlashCache tests used the same 2.2TB Virident FlashMAX II as the cache storage device. EXT4 is the filesystem, and CentOS 6.4 the operating system, although the pre-release modules I received from Virident required the use of the CentOS 6.2 kernel, 2.6.32-220, so that was the kernel in use for all of the benchmarks on

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Virident vCache vs. FlashCache: Part 1
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(This is part one of a two part series) Over the past few weeks I have been looking at a preview release of Virident’s vCache software, which is a kernel module and set of utilities designed to provide functionality similar to that of FlashCache. In particular, Virident engaged Percona to do a usability and feature-set comparison between vCache and FlashCache and also to conduct some benchmarks for the use case where the MySQL working set is significantly larger than the InnoDB buffer pool (thus leading to a lot of buffer pool disk reads) but still small enough to fit into the cache device. In this post and the next, I’ll present some of those

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InnoDB Full-text Search in MySQL 5.6: Part 2, The Queries!
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InnoDB Full-text Search in MySQL 5.6: Part 2, The Queries!

This is part 2 in a 3 part series. In part 1, we took a quick look at some initial configuration of InnoDB full-text search and discovered a little bit of quirky behavior; here, we are going to run some queries and compare the result sets. Our hope is that the one of two things will happen; either the results returned from a MyISAM FTS query will be exactly identical to the same query when performed against InnoDB data, OR that the results returned by InnoDB FTS will somehow be

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Showing entries 1 to 12

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