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Displaying posts with tag: Benchmarking (reset)

Scaling TokuDB Performance with Binlog Group Commit
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TokuDB offers high throughput for write intensive applications, and the throughput scales with the number of concurrent clients.  However, when the binary log is turned on, TokuDB 7.5.2 throughput suffers.  The throughput scaling problem is caused by a poor interaction between the binary log group commit algorithm in MySQL 5.6 and the way TokuDB commits transactions.   TokuDB 7.5.4 for Percona Server 5.6 fixes this problem, and the result is roughly an order of magnitude increase in SysBench throughput for in memory workloads.

MySQL uses two phase commit protocol to synchronize the MySQL binary log …

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Benchmarking Joomla
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This post recently caught my attention on Planet MySQL. If you haven’t read it yet, I suggest that you go and do so, and also read the comments. I think Matthew’s request for the queries so that others can run comparative benchmarks is very interesting, and while I don’t have access to the queries used to produce […]

Related posts:

  1. Updated mysql-proxy benchmarking script (for proxy 0.7) My previous post contained a lua script for MySQL proxy...
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Benchmarking Presentation at Percona Live London 2014
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In a few weeks I’m presenting “Performance Benchmarking: Tips, Tricks, and Lessons Learned” at Percona Live London 2014 (November 3-4). I continue to learn lessons and improve my benchmarking capabilities, so the content is a full upgrade from my presentation at Percona Live Santa Clara in April 2013. Anyone interested in achieving and sustaining the best performance out of their software/hardware/application should attend.

Also, …

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TokuDB v7.5 Read Free Replication : The Benchmark
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New to TokuDB® v7.5 is a feature we’re calling “Read Free Replication” (RFR). RFR allows TokuDB replication slaves to process insert, update, and delete statements with almost no read IO. As a result, the slave can easily keep up with the master (no lag) as well as brings all the read IO capacity of the slave for read-scaling your workload.

The goal of this blog is two-fold: (1) to cover why RFR is important and how RFR works and (2) to run a simple before/after benchmark showing the impact of RFR on a well known workload. Later this week I’ll post another blog showing other interesting use-cases for RFR beyond this first benchmark. …

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Sysbench Benchmarking of Tesora’s Database Virtualization Engine
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Tesora, previously called Parelastic, asked Percona to do a sysbench benchmark evaluation of its Database Virtualization Engine on specific architectures on Amazon EC2.

The focus of Tesora is to provide a scalable Database As A Service platform for OpenStack. The Database Virtualization Engine (DVE) plays a part in this as it aims at allowing databases to scale transparently across multiple MySQL shards.

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Thoughts on Small Datum – Part 2
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If you did not read my first blog post about Mark Callaghan’s (@markcallaghan) benchmarks as documented in his blog, Small Datum, you may want to skim through it now for a little context.

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On March 11th, Mark, a former Google and now Facebook database guru, published an insertion rate benchmark comparing MySQL outfitted with the …

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Thoughts on Small Datum – Part 1
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A little background…

When I ventured into sales and marketing (I’m an engineer by education) I learned I would often have to interpret and simply summarize the business value that is sometimes hidden in benchmarks. Simply put, the people who approve the purchase of products like TokuDB® and TokuMX™ appreciate the executive summary.

Therefore, I plan to publish a multipart series here on TokuView where I will share my simple summaries and thoughts on business value for the benchmarks Mark Callaghan ( …

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Benchmarking the Cloud
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Benchmarking, and benchmarking the cloud, is incredibly error prone. I provided guidance though this minefield in the benchmarking chapter of my book (Systems Performance: Enterprise and the Cloud); that chapter can be read online on the InformIT site. I also gave a lightning talk about benchmarking gone wrong at Surge last year. In this post, I’m going to cut to the chase and …

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TokuMX vs. MongoDB : In-Memory Sysbench Performance
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In talking to existing MongoDB users and TokuMX evaluators, I’ve often heard that the performance of MongoDB is very good as long as your working data set fits in RAM. The story continues that if your working data set grows to be larger than the RAM on your server, the built-in sharding capabilities of MongoDB allow you to scale horizontally.

As my benchmarking presentation at …

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iiBench Benchmark: TokuMX vs. MongoDB
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Tokutek created the iiBench benchmark back in 2008. The point of the benchmark is to measure the performance of indexed insertions over time. It uses an extremely simple schema, one table with a sequential insertion pattern for the primary key along with three integer fields storing random values. The table maintains 3 secondary indexes, each including several of the random integer fields. The iiBench application itself is currently maintained on Launchpad.

B-tree …

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Showing entries 1 to 10 of 54 10 Older Entries

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