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Measuring Docker IO overhead

 | February 11, 2016 |  Posted In: Docker, MySQL, Percona Server


This will be another post on using Percona Server via a Docker image. I want to follow up on my previous post regarding CPU/Network overhead in Docker “Measuring Percona Server Docker CPU/network overhead” by measuring  if there is any docker IO overhead on operations. After running several tests, it appears (spoiler alert) that there is no Docker IO overhead. […]

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Measuring Percona Server Docker CPU/network overhead

 | February 5, 2016 |  Posted In: Docker, MySQL, Percona Server


Now that we have our Percona Server Docker images, I wanted to measure the performance overhead when we run the database in the container. Since Docker promises to use a lightweight container, in theory there should be very light overhead. We need to verify that claim, however. In this post I will show the numbers for CPU and network intensive workloads, […]

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Experimental Percona Docker images for Percona Server

 | February 2, 2016 |  Posted In: Docker, MySQL, Percona Server


Docker is incredibly popular tool for deploying software, so we decided to provide a Percona Docker image for both Percona Server MySQL and Percona Server for MongoDB. We want to create an easy way to try our products. There are actually some images available from https://hub.docker.com/_/percona/, but these images are provided by Docker itself, not from Percona. […]

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Making Apache Spark Four Times Faster

 | January 15, 2016 |  Posted In: Apache Spark, MySQL

This is a followup to my previous post Apache Spark with Air ontime performance data. To recap an interesting point in that post: when using 48 cores with the server, the result was worse than with 12 cores. I wanted to understand the reason is was true, so I started digging. My primary suspicion was that Java (I […]

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Apache Spark with Air ontime performance data

 | January 7, 2016 |  Posted In: Apache Spark, Benchmarks, MySQL

There is a growing interest in Apache Spark, so I wanted to play with it (especially after Alexander Rubin’s Using Apache Spark post). To start, I used the recently released Apache Spark 1.6.0 for this experiment, and I will play with “Airlines On-Time Performance” database from http://www.transtats.bts.gov/DL_SelectFields.asp?Table_ID=236&DB_Short_Name=On-Time. You can find the scripts I used here https://github.com/Percona-Lab/ontime-airline-performance. The uncompressed dataset is about 70GB, which is […]

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Percona Server for MongoDB storage engines in iiBench insert workload

 | December 23, 2015 |  Posted In: MongoDB, MySQL

storage engine

We recently released the GA version of Percona Server for MongoDB, which comes with a variety of storage engines: RocksDB, PerconaFT and WiredTiger. Both RocksDB and PerconaFT are write-optimized engines, so I wanted to compare all engines in a workload oriented to data ingestions. For a benchmark I used iiBench-mongo (https://github.com/mdcallag/iibench-mongodb), and I inserted one billion […]

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MongoDB 3.2 WiredTiger in iiBench

 | December 15, 2015 |  Posted In: Benchmarks, MongoDB

MongoDB 3.2 was recently released with WiredTiger as the default storage engine. In just over five years, MongoDB has evolved into a popular database. MongoDB 3.0 supported “pluggable storage engines.” The B-Tree-based WiredTiger should outperform IO-optimized RocksDB and PerconaFT in in-memory workloads, but it demonstrates performance degradation when we move into IO workloads. There are reports that WiredTiger […]

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Amazon Aurora in sysbench benchmarks

 | December 3, 2015 |  Posted In: Cloud and MySQL, Cloud and NoSQL, MySQL, Percona Server

In my previous post Amazon Aurora – Looking Deeper, I promised benchmark results on Amazon Aurora. There are already some results available from Amazon itself: https://d0.awsstatic.com/product-marketing/Aurora/RDS_Aurora_Performance_Assessment_Benchmarking_v1-2.pdf. There are also some from Marco Tusa: http://www.tusacentral.net/joomla/index.php/mysql-blogs/175-aws-aurora-benchmarking-blast-or-splash.html. Amazon used quite a small dataset in their benchmark: 250 tables, with 25000 rows each, which in my calculation corresponds to 4.5GB […]

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Amazon Aurora – Looking Deeper

 | November 16, 2015 |  Posted In: Cloud and MySQL, Cloud and NoSQL, MySQL

Recently my colleague (by Percona) Yves Trudeau and colleague (by industry) Marco Tusa published their materials on Amazon Aurora. Indeed, Amazon Aurora is a hot topic these days, and we have a stream of customer inquiries regarding this technology. I’ve decided to form my own opinion, and nothing is better than a personal, hands-on experience, which I […]

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