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Showing entries 1 to 30 of 30

Displaying posts with tag: Vadim Tkachenko (reset)

“How to monitor MySQL performance” with Percona Cloud Tools: June 25 webinar
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We recently released a new version of Percona Cloud Tools with MySQL monitoring capabilities. Join me June 25 and learn the details about all of the great new features inside Percona Cloud Tools – which is now free in beta. The webinar is titled “Monitoring All (Yes, All!) MySQL Metrics with Percona Cloud Tools” and begins at 10 a.m. Pacific time.

In addition to MySQL metrics, Percona Cloud Tools also monitors OS performance-related stats. The new Percona-agent gathers metrics with fine granularity (up to once per second), so you are able to see any of these metrics updated real-time.

During the webinar I’ll explain how the new Percona-agent works and how

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Why did we develop percona-agent in Go?
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We recently open-sourced our percona-agent and if you check out the source code, you’ll find that it is written in the Go programming language (aka Golang). For those not up to speed, the percona-agent is a real-time client-side agent for Percona Cloud Tools.

Our requirements are quite demanding for our agents. This one is software that works on a real production server, so it must be fast, reliable, lightweight and easy to distribute. Surprisingly enough, binaries compiled by Go fit these characteristics.

There are of course alternatives that we considered. On the scripting side: Perl, Python, PHP, Ruby et al. These are not necessarily fast, and the distribution is also interesting.

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From zero to full visibility of MySQL in 3 minutes with Percona Cloud Tools
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First, I would like to invite you to my webinar, “Monitoring All (Yes, All!) MySQL Metrics with Percona Cloud Tools,” on Wednesday, June 25 at 10 a.m. Pacific Daylight Time, where I will talk on the
new features in Percona Cloud Tools, including monitoring capabilities.

In this post I’d like to show the cool and interesting things we’ve implemented in Percona Cloud Tools, including the recently released agent that Daniel also talks about here in this


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Tips on benchmarking Go + MySQL
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We just released, as an open source release, our new percona-agent (https://github.com/percona/percona-agent), the agent to work with Percona Cloud Tools. This agent is written in Go.

I will give a webinar titled “Monitoring All MySQL Metrics with Percona Cloud Tools” on June 25 that will cover the new features in percona-agent and Percona Cloud Tools, where I will also explain how it works. You are welcome to

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Percona Software in Ubuntu 14.04 LTS (Trusty Tahr) release
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I’d like to congratulate Canonical with the new Ubuntu 14.04 LTS (Trusty Tahr) Release, it really looks like a great release, and I say it having my own agenda It looks even more great because it comes with a full line of Percona Software.
If you install Ubuntu 14.04 and run aptitude search you will find:


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Quick review of InfiniDB 4
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I’ve mentioned InfiniDB before in a previous post titled, “Star Schema Bechmark: InfoBright, InfiniDB and LucidDB,” but it’s been 4 years since that was published. Recently I evaluated column-storage solutions for Percona Cloud Tools and took another look at InfiniDB 4. There was the release of version 4, which I think is worth attention.

What is interesting in InfiniDB 4:

  • Fully OpenSource, GPLv2. There is no reserved features for Enterprise version
  • Multiple CPUs are used even for single query execution
  • WINDOW functions in SQL queries

What is WINDOW functions? In

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16000 active connections – Percona Server continues to work when others die
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We just published results with improvements in Thread Pool in Percona Server:
Percona Server: Thread Pool Improvements for Transactional Workloads
Percona Server: Improve Scalability with Thread Pool

What I am happy to see is that Percona Server is able to handle a tremendous amount of user connections. From our charts you can see it can go to 16000 active connections without a decline in throughput.



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Percona XtraDB Cluster 5.6 GA release now available
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Percona is pleased to announce the first General Availability release of the leading open source High Availability solution for MySQL, Percona XtraDB Cluster 5.6 on January 30, 2014. Binaries are available from downloads area or from our software repositories.

Percona XtraDB Cluster 5.6
Percona XtraDB Cluster 5.6 is an active/active cluster solution for High Availability (HA) MySQL that delivers performance and

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MySQL performance optimization: Don’t guess! Measure with Percona Cloud Tools
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In our practice we often see that MySQL performance optimization is done in a sort of “black magic” way. A common opinion is: “If there is a performance problem – then it must be a database issue, because what else could it be? And if this is a database issue, then it must involve IO problems because the reason for a slow database is always a slow IO…”  Following this logic might actually give a result, but achieving a fully successful resolution would require magic.

At Percona we use a different approach. Performance optimization should not be based on guesses, but exact measurements. In application to databases,

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Analyzing WordPress MySQL queries with Query Analytics
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This blog, MySQLPerformanceBlog.com, is powered by WordPress, but we never really looked into what kind of queries to MySQL are used by WordPress. So for couple months we ran a Query Analytics (part of Percona Cloud Tools) agent there, and now it is interesting to take a look on queries. Query Analytics uses reports produced by pt-query-digest, but it is quite different as it allows to see trends and dynamics of particular query, in contrast to pt-query-digest, which is just one static report.

Why looking into queries important? I gave an intro in my previous post from this series.

So Query Analytics give the report on the top queries. How to detect which

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Percona Cloud Tools: Making MySQL performance easy
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One of our primary focuses at Percona is performance. Let me make some statements on what is “performance.”

In doing so I will refer to two pieces of content:

I highly recommend that you familiarize yourself with both of them.

Performance

Performance is about tasks and time.
We say that the system is performing well if it

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A closer look at Percona Server 5.6
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Yesterday we announced the GA release of Percona Server 5.6, the latest release of our enhanced, drop-in replacement for MySQL. Percona Server 5.6 is the best free MySQL alternative for demanding applications. Our third major release, Percona Server 5.6 offers all the improvements found in MySQL 5.6 Community Edition plus scalability, availability, backup, and security features some of which are found only in MySQL 5.6 Enterprise Edition.

Percona Server 5.6 comes with:

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TokuDB vs InnoDB in timeseries INSERT benchmark
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This post is a continuation of my research of TokuDB’s  storage engine to understand if it is suitable for timeseries workloads.

While inserting LOAD DATA INFILE into an empty table shows great results for TokuDB, what’s more interesting is seeing some realistic workloads.

So this time let’s take a look at the INSERT benchmark.

What I am going to do is to insert data in 16 parallel threads into the table from the previous post:

CREATE TABLE `sensordata` (
  `ts` int(10)
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Considering TokuDB as an engine for timeseries data
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I am working on a customer’s system where the requirement is to store a lot of timeseries data from different sensors.

For performance reasons we are going to use SSD, and therefore there is a list of requirements for the architecture:

  • Provide high insertion rate
  • Provide a good compression rate to store more data on expensive SSDs
  • Engine should be SSD friendly (less writes per timeperiod to help with SSD wear)
  • Provide a reasonable response time (within ~50 ms) on SELECT queries on hot recently inserted data

Looking on these requirements I actually think that TokuDB might be a good fit for this task.

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What kind of queries are bad for MySQL?
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In writing a recommendation for our Web development team on how to use MySQL, I came up with the following list, which I want to share: What kind of queries are bad for MySQL?

  • Any query is bad. Send a query only if you must. (Hint: use caching like memcache or redis)
  • Queries that examine many rows are bad. Try instead to use…
    SELECT col1 FROM table1 WHERE primary_key_column=SOMETHING

    . Or at least
    secondary_key_column=SOMETHING

    . If it is still not possible, try to make the query examine the least amount of rows possible (zero is ideal, as we come to the first case here)
  • Queries with JOINS are bad. Try to denormalize the table to avoid JOINS. Example: original query
    SELECT t2.value FROM t2 JOIN t1 ON (t1.id=t2.tid) WHERE t1.orderdate=NOW()

    . This can be denormalized





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TokuMX is MongoDB on steroids
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I am actually quite excited about Tokutek’s release of TokuMX. I think it is going to change the landscape of database systems and it is finally something that made me looking into NoSQL.

Why is TokuMX interesting? A few reasons:

  • It comes with transactions, and all that good stuff that transactions provide: a concurrent access to documents (no more global write-lock in MongoDB); crash recovery; atomicity
  • Performance in IO-bound operations
  • A good compression rate, which is a money-saver if you use SSD/Flash
  • But it is
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Percona MySQL University @Portland next Monday!
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We’re less than a week away from Percona MySQL University at Portland, Oregon next Monday, June 17. The latest in a series of FREE one-day educational events, we are pleased to feature 10 technical talks by members of Team Percona as well as local members of the MySQL Community:

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Open Source, the MySQL market (and TokuDB in particular)
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I was reviewing the Percona Live sponsors list the other day and pondering the potential success stories associated with this product or that one…. and as I was preparing to put more thought on the topic, a PlanetMySQL post caught my eye. It was penned by Mike Hogan and titled, “Thoughts on Xeround and Free!

For some reason the author of that post makes a connection between a free account in a cloud-based service and Open Source software. I think it’s

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Testing the Micron P320h
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The Micron P320h SSD is an SLC-based PCIe solid-state storage device which claims to provide the highest read throughput of any server-grade SSD, and at Micron’s request, I recently took some time to put the card through its paces, and the numbers are indeed quite impressive.

For reference, the benchmarks for this device were performed primarily on a Dell R720 with 192GB of RAM and two Xeon E5-2660 processors that yield a total of 32 virtual cores. This is the same machine which was used in my previous benchmark run. A small handful of additional tests were also performed using the Cisco UCS C250. The operating system in use was CentOS 6.3, and for the sysbench fileIO tests, the EXT4 filesystem was used. The card itself is the 700GB model.

So let’s take

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Percona Live MySQL Conference and Expo 2013: It feels like 2007 again
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I actually don’t remember exactly whether it was in 2006, 2007 or 2008 — but around that time the MySQL community had one of the greatest MySQL conferences put on by O’Reilly and MySQL. It was a good, stable, predictable time.

Shortly thereafter, the MySQL world saw acquisitions, forks, times of uncertainly, more acquisitions, more forks, rumors (“Oracle is going to kill MySQL and the whole Internet”) and just a lot of drama and politics.

And now, after all this time some 6 or 7 years later, it feels like a MySQL Renaissance. All of the major MySQL players are coming to the

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SimCity outages, traffic control and Thread Pool for MySQL
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For this post I’m going to shamelessly exploit the litany of technical problems SimCity players encountered earlier this month and a few examples of how Thread Pool for MySQL and Percona Server for MySQL can help to prevent such incidents.

Users of SimCity, a city-building and urban planning simulation video game, encountered network outages, issues with saving progress and problems connecting to the game’s servers following a new release a couple of weeks ago featuring a new engine allowing for more detailed simulation than previous games. During this same time, we happened to be testing the Thread Pool feature in Percona Server for MySQL, and I saw a connection of how

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Accessing Percona XtraDB Cluster nodes in parallel from PHP using MySQL asynchronous queries
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Accessing Percona XtraDB Cluster nodes in parallel with MySQL asynchronous calls

This post is followup to Peter’s recent post, “Investigating MySQL Replication Latency in Percona XtraDB Cluster,” in which a question was raised as to whether we can measure latency to all nodes at the same time. It is an interesting question: If we have N nodes, can we send queries to nodes to be executed in parallel?

To answer it, I decided to try a new asynchronous call to send a

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Percona Server on the Nexus 7: Your own MySQL Database Server on an Android Tablet
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Percona Server on the Nexus 7: Your own MySQL Database Server on an Android Tablet

Following Roel’s post, Percona Server on the Raspberry Pi: Your own MySQL Database Server , I thought what other crazy gadget can I run Percona Server on? And having an Asus Nexus 7 Android tablet I decided to give it a try.

Anything below contains a risk that you break your tablet if

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How InnoDB performs a checkpoint
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InnoDB’s checkpoint algorithm is not well documented. It is too complex to explain in even a long blog post, because to understand checkpoints, you need to understand a lot of other things that InnoDB does. I hope that explaining how InnoDB does checkpoints in high-level terms, with simplifications, will be helpful. A lot of the simplifications are because I do not want to explain the complexities of how the simple rules can be tweaked for optimization purposes, while not violating the ACID guarantees they enforce.

A bit of background: Gray and Reuter’s classic text on transaction processing introduced two types of checkpoints beginning on page 605. There is a sharp checkpoint, and there is a fuzzy checkpoint.

A sharp checkpoint is accomplished by

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What happened to Falcon?
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I don’t think I have heard anything from the Falcon team for a while. What’s new? Did the project really stall when Jim Starkey left, as Vadim Tkachenko wondered might happen?
What is it like to write a technical book?
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As you probably know, I recently finished writing a book with a few co-authors. I kept notes along the way and wanted to describe the process for those who are thinking about writing a book, too.

Update: see the followup post for more of the story, including my editor’s responses.

I think it’s important to be objective; my purpose here is to help prospective authors get a feeling of what it’s like, and it’s not all good (but I’d encourage people to do it anyway). Hopefully I won’t come off as sounding peeved at anyone or like I’m trying to put people down. I’ll have a lot to say about what went right and wrong, and how it helped and hindered

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MySQL Conference and Expo 2008, Day One
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Today is the first day at the conference (aside from the tutorials, which were yesterday). Here’s what I went to:

New Subquery Optimizations in 6.0

By Sergey Petrunia. This was a similar session to one I went to last year. MySQL has a few cases where subqueries are badly optimized, and this session went into the details of how this is being addressed in MySQL 6.0. There are several new optimization techniques for all types of subqueries, such as inside-out subqueries, materialization, and converting to joins. The optimizations apply to scalar subqueries and subqueries in the FROM clause. Performance results are very good, depending on which data you choose to illustrate. The overall point is that the worst-case subquery nastiness should be resolved. I’m speaking of WHERE NOT IN(SELECT…) and friends. It remains to be seen how

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Progress on High Performance MySQL, Second Edition
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It's been a while since I said anything about the progress on the book. That doesn't mean we are not still working on it, though.

As Peter wrote a while ago, he is basically wearing the hat of a very advanced technical reviewer at this point. We've finished writing all the chapters from his detailed outlines. He has worked through about half the chapters, and I'm continuing to spend my evenings and weekends and holidays (yes, nearly all my free time -- just ask my wife!) writing some new material (an appendix on EXPLAIN, for example), finishing unfinished things marked with TODO in the text, and revising chapters after Peter reviews them. Vadim is working on benchmarks. For example, he just finished some benchmarks for

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Four companies to sponsor Maatkit development
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A while ago I asked for people and/or organizations to sponsor development on Maatkit (formerly MySQL Toolkit) so I could take a week off work and improve the Table Sync tool. I asked for $2500 USD, but several companies have graciously offered to cover that and then some.

I'm very happy about this, as it will allow me to dedicate a solid week to fixing bugs and adding features. There's a lot of demand for the tools, and there are a dozen or so bug reports unresolved for the table-sync tool, which I personally want to fix as much as anyone. So I'm very grateful for the support.

Here are the companies who have promised their financial support:

MySQL AB

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Coming soon: High Performance MySQL, Second Edition
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We've begun writing the second edition of the now-classic High Performance MySQL. "We" means co-authors Arjen Lentz, Baron Schwartz, Vadim Tkachenko, and Peter Zaitzev. O'Reilly is still the publisher, and Andy Oram is still the editor. With a team like this, I think the second edition will be a book you don't want to miss. Though in theory we're revising the first edition, the truth is we're starting from scratch and re-writing the book, and significantly expanding it at the same time. A lot has changed since Jeremy and Derek wrote the first edition. Today's MySQL deployments push the limits further than many people thought possible a few years ago. We'll teach you how they do it.

Showing entries 1 to 30 of 30

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