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Updated feature summary

I have added a couple of features to my earlier post on MySQL Cluster Features - what they are and what they do.

The features that have been added to the feature list are:

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Parallel CSV reader

I almost forgot I wrote the code a while back. Someone asked me about it yesterday, so I dusted the parallel CSV reader code off this morning and here are the results:

This test basically reads a file with 10M customer records (generated), sized 919169988 bytes in 18.3 seconds. (50MB/s) Obviously, my poor laptop disk can’t deliver at that speed, so these test results are obtained by utilizing the excellent Linux caching system

In any case, the caching system simulates faster disk subsystem.

On my computer, the system doesn’t really scale linearly (especially in this case, the OS uses up some CPU power too) , but the speedup is noticeable from 25.8 to 18.3 seconds. (about 30% faster)

The interesting thing is that if you have more CPUs at your disposal (both SMP and clustered setups work) you can probably make it scale to the full extent of your disk speed.

In the case where lazy conversion is disabled …

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Stuck - No country to call home

In a sense of ironic fate I’m officially stuck between countries. (I feel a little like Tom Hanks in one of his movies, need to find the name of it).

As part of my resignation from MySQL/SUN, I was required to leave the US within 10 days to satisfy visa requirements. I packed, stored, discarded and arrived at the airport with 2 suit-cases of belongings to leave one country - The US, and enter another - Germany.

I don’t require a visa to enter Germany, normally. However as I’m leaving the country permanently and relocating to Germany I do. So I can’t leave, but I also can’t stay (as I’m at 10 days)

This leaves me with little choices. I can’t work now in the US, I’ve violated my visa obligations for the future, even a career change won’t help me here. I may never be able to enter the US again. Seems my only option right now is to return to Australia ahead of plans.

Those hoping to see me at …

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MySQL Proxy Recipes - Executing multiple queries

One of the goodies of MySQL Proxy is the execution of multiple queries in response of a single query from the client.
One example given in the manual is a normal query sent by the user, with a SHOW STATUS executed before and after the query to evaluate the efficiency of the query itself.
Another common possibility is to create a loop, i.e. the client sends a query with appropriate commands for the Proxy, and the query is executed N times.
Both cases are accomplished using the query queue, a data structure that the Proxy uses to process user defined queries.
The tricky part in multiple query execution is that the client has only sent one query, and thus it expects only one result. If we execute multiple queries, we will get multiple results from the server. Thus, we need to handle the results that we want to process within the Proxy and prevent them from reaching the client, while making sure that the …

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APAC Extended Horizons Summit 2008

Hello,
I am excited to introduce another big event in Australia!

Following its success last year, the Extended Horizons Summit is back for a thirteenth consecutive year, with a bigger and more insightful two-day conference plus pre-event workshops.

This year’s summit will include users of Sun’s SOA & Java Composite Application Suite, Identity Management, Java Enterprise System, Sun Secure Global Desktop and MySQL.

MySQL Sessions scheduled:

Sunday 25th May 2008
1:45pm - 5:00pm A Hands-On MySQL Cluster 5.1 Tutorial

Monday 26th May 2008
3:40pm - 4:30pm Tuning MySQL for Large Database Performance
5:30pm - 6:20pm MySQL in the Enterprise - Compelling Reasons to Adopt Case Studies from Web 2.0

Tuesday 27th May 2008
11:05am - 11:55am The MySQL Storage Engine …

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MySQL Performance on Memory Appliance

Recently I have had a chance to check out MySQL Performance on "Memory Appliance" by Violin Memory which can be used as extremely high speed storage system.

I helped Violin Memory to optimize MySQL for customer workload and Violin memory and also had a chance to do some benchmarks on my own. 2*Quad Core Xeon running CentOS5 was tested using ext2 filesystem and SysBench tool.

Using 16K read sizes (matches Innodb page size) I could get 1.2GB/sec (80K req/sec) for reads and about 500MB/sec writes with 16 concurrent threads. Things scaled well and with 256 threads I got even a bit better performance.

Interesting enough utilization in iostat never went over few percents and load was mostly CPU bound.

Next I went on testing MySQL. My goal was to simulate as much IO as possible so I use …

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2008 MySQL Conference


In just two weeks I will be heading to the 2008 MySQL Conference.  I will be speaking this year.  My two talks are:

MySQL Hacks and Tricks to Make Phorum Fast
04/16/2008  4:25pm PDT Room: Ballroom A

From One Server to a Cluster
04/16/2008  5:15pm PDT Room: Ballroom C

I have to pull back to back talks.  *PHEW* I hope I can hold up.  To make it worse, they did not put me in the same room. If I remember right though, those are really close to each other.

Of course, the Phorum team will be in the Expo Hall in the DotOrg pavilion.  Just look for the big dog.

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MySQL: Getting Creative with Partitioning (Performance Results)

I decided to run some very basic performance test comparing the non-partitioned table with a primary key, and a partitioned table with a primary key and a unique constraint enforced via a secondary table explained in my previous post.Overall, it appears that with partitioning, as the data/rows scale, the inserts actually get faster :) This is what I would expect theoretically, so score one for

How the MySQL Enterprise Upgrade Advisor Helps DBAs Avoid Being Bitten by Known Bugs

In an earlier article I described how MySQL Enterprise takes the guesswork out of deciding which version of the MySQL server customers should be running by providing alerts around regularly scheduled Monthly Rapid Update and Quarterly Service Pack releases of the Enterprise Server. Being of an old school "if it ain't broke don't fix it" mindset, I understand the conservative approach most DBAs take when deciding if a new release of any software is relevant to their environment. In fact, given the monthly frequency of Enterprise maintenance releases and the work involved with upgrading, I completely understand how recipients can begin to ignore Update Alerts (unless of course a known fix is on the way). Based on feedback from customers, MySQL colleagues, and my own field experience, I recognize that while notifications around the regular Enterprise Server drops is a good thing, upgrading an existing MySQL implementation is no small task and that a …

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MySQL Backup and Recovery Training from Zmanda

Worried about Backup and Recovery of your MySQL Databases? MySQL Backup school from Zmanda provides hands on and in depth training on Backup and Recovery of MySQL. Just sign up and show up with your laptop. More information available here.

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