Webinar: MySQL Cluster, Scaling Web Databases with Auto-Partitioning and SQL/NoSQL Access

Scale-out with MySQL Cluster

Update: webinar replay is now available from http://event.on24.com/r.htm?e=311660&s=1&k=3DCFE1CB3E1CF3F0FD0969DC66D93989

On Thursday 26th May Mat Keep and I will be presenting a webinar on how MySQL Cluster can deliver linear scalability – together with some tips on how to achieve it. As always the webinar is free but you need to register here.

 

The session starts on Thu, May 26 at 17:00 UK time, 18:00 Central European Time, 09:00 Pacific.

This webinar will discuss best practices in scaling services on-demand for high volumes of reads and writes, and provide insight on the range of NoSQL and SQL access methods available to developers, specifically covering:

  • Automatic partitioning (sharding) for high scalability
  • On-line scaling of the cluster across commodity hardware
  • SQL and NoSQL interfaces, and what should be used when
  • On-line updating of schema design to accommodate rapidly evolving applications
  • Resources to get started




3 comments

  1. Looks like your graph actually shows the impossible: better than linear scaling. Updates more than double from 8 to 16 nodes. Can you post the actual numbers used to generate this graph?

    • admin says:

      Hi Baron,

      the oddity actually lies with the sub-linear growth between 4 and 8 nodes – smooth that out and you get nice linear write-scaling from 4 to 16 nodes. Unfortunately we only had a very short time in this particular benchmark environment and so we haven’t been able to understand what happened in the 8 data node run or retry it. We do plan on getting back into this benchmark lab and of course I’ll share the results.

      Andrew.

  2. Bernd Ocklin says:

    Actual numbers are here: 1.15M, 2.13M and 4.33M reads and 682k, 987k and 2.46M updates for 2, 4 and 8 nodes respectively.

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