Over the years, the database world has been buzzing with the strategic threat posed to the established players by upstart open-source database systems. Oracle and IBM would no longer be able to gouge defenseless small and medium-sized businesses of non-trivial portions of their IT budgets for a mere database licence. Oracle, IBM and Microsoft, for their part, have tried their best to respond to this threat, but it is clear that they cannot simply squash open-source products, but rather evolve with the changing landscape.

the countered threat from Oracle

Oracle made some strategic purchases in the past few years to establish a foothold in the embedded and front-end database market by acquiring Sleepycat (maintainers of BerkeleyDB) and InnoBase (makers of InnoDB storage engine for MySQL). These two also happened to provide the only two transactional backends for MySQL, whlie InnoDB is the only one to be used widely in practice. …

10,000 Tables Can?t Be Wrong: Designing a Highly Scalable MySQL Architecture for Write-intensive Applications by Richard Chart

Chose MySQL for performance and stability, and less important but still there, experience and support. Support is becoming increasingly more and more important.

Starting point: 1 appliance supporting 200 devices
Problem/Goal: Extensible architecture with deep host and app monitoring, over 1000 devices with 100 mgmt points each
Distributed collection over a WAN, with latency and security concerns
Current reality: several times the scale of the original goal
Commercial embedded product, so they actually pay for the embedded MySQL server

Future: The fundamentals are sound: next generation of the product moves up another order of magnitude

Data Characteristics
>90% writes
ACID not important
Resilient to loss, because gaps in data do not …

Jeff Rothschild of Facebook’s “A Match Made in Heaven? The Social Graph and the Database”

Taking a look at the social graph and what it means for the database.

The social graph:

• At it’s heart it’s about people and their connections.
  
• Learning about people who are in your world.
  
• Can be a powerful tool for accelerating the use of an application.
  

“The social graph has transformed a seemingly simple application such as photos into something tremendously more powerful.” We’re interested about what people are saying about us, and about our friends. Social applications are compelling.

Facebook users blew through the estimate for 6 months of storage in 6 weeks. It is serving 250,000 photos per second at peak time, not including profiles. Facebook serves more photos than even the photo sites out there, and serves more event invitations …

Yesterday’s keynote panel on “Scaling MySQL — Up or Out?”

Directly download the 310MB wmv file (not if you are on the conference wireless please!), or watch it in your browser via streaming — simply click the “play” link on this page.

Keith Murphy managed to take painstaking notes with all the facts and figures. As well, Venu Anuganti presents a chart with the results as well as notes on the more detailed answers. Ronald Bradford has a brief summary of the 20 seconds of wisdom from each panelist.

• Phil Hilderbrand of thePlatform for Media, Inc presents
• classic partitioning
  • old school - union in the archive tables
  • auto partitioning and partition pruning
  • great for data warehousing
  • query performance improved
  • maintenance is clearly improved
• design issues in applying partitioning to OLTP (On-Line Transaction Processing)
  • often id driven access vs date driven access
  • 1 big clients could be 80% of the whole database, so there's a difficulty selecting partitioning schemes
• partitioning is only supported starting from MySQL 5.1
• understanding the …

• Robert Hodges from Continuent presents
• About Continuent
  • leading provider of open source database availability and scaling solutions
• solutions
  • uni/cluster - multi-master database clustering that replicates data across multiple databases and load balances reads
  • uses "database virtualization"
• scale-out design motivation
  • protection from db and site failures
  • continuous operation during upgrades
• how come not everyone has it already?
• creating identical replicas across different hosts is hard
  • Brewer's conjecture
• trade-offs
  • DDL support
  • inconsistent reads between replicas
  • deadlocks
  • sequences …

Whew! I just finished a marathon of revisions. It's been a while since I posted about our progress, so here's an update for the curious readers.

It's been a while since I've written about progress on the book. I actually stopped working on it as much at the beginning of the month, because on October 31(st) I managed to finish a first draft of the last big chapter! Now I'm back to full-time work at my employer, and I'm working on the book in the evenings and weekends only. Read on for details of what I've been working on and what's next in the pipeline.

John Quinn writes about Scaling Drupal he is taking a one step at a time approach and is still writing his 4th and 5 stages.

His first step obviously is separating the drupal from a separate database server, and he chooses mysql for this purpose, moving your DB to a different machine is a good thing to do.

However then he gets this crazy idea of using NFS to share his his drupal shared files :(
(he even dares to mention that the setup ease is good) Folks, we abandonned NFS in the late nineties. NFS is still a recipe for disaster, it has performance issues , it as stability issues (stale locks), and no security admin in his right mind will tolerate portmap to be running in his DMZ.
(Also think about the IO path that …

Continuing in the tradition, which I hope has been as helpful to you as it has been to me, I'm opening the floor for suggestions on chapter 9 of the upcoming High Performance MySQL, Second Edition. Unlike the other chapters for which I've listed outlines, this one isn't substantially written yet. It's in detailed outline form at this point (a tactic that has worked very well for us so far -- I'll write about that someday).

I'm trying to get feedback much earlier in this chapter's lifecycle, for several reasons. Two of the most important are that this is one of the first chapters I've had a chance to really take from scratch, and the chapters I haven't written from scratch have been harder to organize, as you've probably seen from the last few outlines I posted. There's a lot of value in working top-down on this deep encyclopedia-style material.

Read on for the outline and more thoughts I just can't keep to myself.