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Displaying posts with tag: Alexander Rubin (reset)

Creating GEO-enabled applications with MySQL 5.6
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In my previous post I’ve showed some new MySQL 5.6 features which can be very helpful when creating geo-enabled applications. In this post I will show how we can obtain open-source GIS data, convert it to MySQL and use it in our GEO-enabled applications. I will also present at the upcoming Percona Live conference on this topic.

Data sources (US)

For the U.S. we may look at 2 major data sources:

1. ZIP codes with latitude, longitude and zip code boundaries (polygon). This can be downloaded from the U.S. Census website:

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Big Data with MySQL and Hadoop at MySQL Connect 2013
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I will be talking about Big Data with MySQL and Hadoop at MySQL Connect 2013 (Sept. 21-22) in San Francisco as well as at Percona University at Washington, DC (September 12, 2013). Apache Hadoop is a very popular Big Data solution and we can nowadays easily integrate it with MySQL. I will start with a brief introduction of Apache Hadoop and its components (HFDS, Map/Reduce, Hive, HBase/HCatalog, Flume, Scoop, etc). Next I will show 2 major Big Data scenarios:

  • From file to Hadoop to MySQL. This is an example of “ELT” process: Extract data from external source; Load data into Hadoop; Transform
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Advanced MySQL Query Tuning: Webinar followup Q&A
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Thanks to all who attended my “MySQL Query Tuning” webinar on July 24.  If you missed it, you can you can download the slides and also watch the recorded video. Thank you for the excellent questions after the webinar as well. Query tuning is a big topic and, due to the limited time, I had to skip some material, especially some of the monitoring. I would like, however, to answer all the questions I did not get into during the webinar session.

Q: Did you reset the query cache before doing your benchmark on your query? 0.00

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MySQL Webinar: Advanced Query Tuning
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On July 24 at 10 a.m. PDT, I will be delivering a Webinar on Advanced MySQL Query Tuning. I will focus on optimizing the common slow queries with group by and order by. Those queries usually create temporary tables and perform a “filesort” operation. I will show how to optimize those queries so that they will be running significantly faster, which will increase the application performance and decrease MySQL load.

I presented a similar topic in April at the

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Showing entries 1 to 4

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