Cleaning Up Old Database Dirt with SQL Server 2012

I am about to venture into transitioning a 10 year old database that started with SQL Server 2000 which has surely some (a lot?) accumulated  ‘dirt’ in it that started way back in 2001. In the past (am sure it still is with 2012 edition), SQL Server has been very forgiving for all the sins of its handlers (DBAs, developers, users, & pretenders). It had allowed a lot of minor issues to creep into the database without constantly complaining and compromising its ability to run in production. In a perfect world, those issues could have been eradicated a long time ago.

The ‘dirt’ has accumulated as SQL Server hasn’t been pestering people that there is some cleaning up to do. In the real world, that is acceptable. We just can’t stop the show after someone spilt water on the stage floor. After 10 years,with better tools and ways to clean up dirt, it would be a worthwhile exercise so we can navigate easily through the challenges of modern times.

Enter SQL Server 2012, it packs with efficient and reliable tools to accomplish this tasks of cleaning things up. To start on the cleaning process though I need to see the mostly unseen ‘dirt’. SSDT comes in handy for this job.

Using SQL Server Data Tools (SSDT) As Dirt Probe

Here is how to begin identifying what needs to be cleaned.

Then allow SSDT to scan your database for ‘dirt’. I am actually referring to ‘errors’ and ‘warnings’!

After scanning, go to the Error List tab and VOILA!!! now you see the ‘dirt’.

Armed with a long ugly list, you can now hire a cleaner to scrub off each and every dirt you have identified.

That is all for now for the cleaning up!

Toto Gamboa is a consultant specializing on databases, Microsoft SQL Server and software development operating in the Philippines. He is currently a member and one of the leaders of Philippine SQL Server Users Group, a Professional Association for SQL Server (PASS) chapter and is one of Microsoft’s MVP for SQL Server in the Philippines. You may reach him by sending an email to


My First Shot At Sharding Databases

Sometime in 2004, I was faced with a question whether to have our library system’s design, which I started way back in 1992 using Clipper on Novell Netware and later was ported to ASP/MSSQL, be torn apart and come up with a more advanced, scalable and flexible design. The usual problem I would encounter most often is that sometimes in an academic organization, there could be varying structures. In public schools, they have regional structures where libraries are shared by various schools in the region. In some organizations, a school have sister schools with several campuses each with one or more libraries in it but managed by only one entity. In one setup, a single campus can have several schools in it, with each having one or more libraries. These variations pose a lot of challenge in terms of programming and deployment. A possible design nightmare. Each school or library would often emphasize their independence and uniqueness against other schools and libraries, for example wanting to have their own library policies and control over their collections and users and customers and yet have that desire to share their resources to others and interoperate with one another. Even within inside a campus, one library can even operate on a different time schedule from the other library just a hallway apart. That presented a lot of challenge in terms of having a sound database design.

The old design from 1992 to 2004 was a single database with most tables have references to common tables called “libraries” and “organizations”. That was an attempt to partition content by libraries or organization (a school). Scaling though wasn’t a concern that time as even the largest library in the country won’t probably consume a few gigs of harddisk space. The challenge came as every query inside the system has to filter everything by library or school. As features of our library system grew in numbers and became more advanced and complex, it is apparent that the old design, though very simple when contained in a single database, would soon burst into a problem. Coincidentally though, I have been contemplating to advance the product in terms of feature set. Flexibility was my number one motivator, second was the possibility of doing it all over the web.

Then came the ultimate question, should I retain the design and improve on it, or should I be more daring and ambitious. I scoured over the Internet for guidance of a sound design and after a thorough assessment of current and possibly future challenges that would include scaling, I ended up with a decision to instead break things apart and abandon the single database mindset. The old design went into my garbage bin. Consequently, that was the beginning of my love of sharding databases to address issues of library organization, manageability and control and to some extent, scalability.

The immediate question was how I am gonna do the sharding. Picking up the old schema from the garbage bin, it was pretty obvious that breaking them apart by libraries is the most logical. I haven’t heard the concept of a “tenant” then, but I dont have to as the logic behind in choosing it is as ancient as it can be. There were other potential candidate for keys to shard the database like “schools” or “organization”, but the most logical is the “library”. It is the only entity that can stand drubbing and scrubbing. I went on to design our library system with each database containing only one tenant, the library. As of this writing, our library system have various configurations: one school have several libraries inside their campus, another have several campuses scattered all over metro manila with some campus having one or more libraries but everything sits on a VPN accessing a single server.

Our design though is yet to become fully sharded at all levels as another system acts as a common control for all the databases. This violates the concept of a truly sharded design where there should be no shared entity among shards. Few tweaks here and there though would fully comply with the concept. Our current design though is 100% sharded at the library level.

So Why Sharding?

The advent of computing in the cloud present to us new opportunities, especially with ISVs. With things like Azure, we will be forced to rethink our design patterns. The most challenging perhaps is on how to design not only to address concerns of scalability, but to make our applications tenant-aware and tenant-ready. This challenge is not only present in the cloud, but a lot of on-premise applications can be designed this way. This could help in everyone’s eventual transition to the cloud. But cloud or not, we could benefit a lot on sharding. In our case, we can pretty much support any configuration out there. We also got to mimic the real world operation of libraries. And it eases up on a lot of things like security and control.

Developing Sharded Applications

Aside from databases, applications need to be fully aware that it is not anymore accessing a single database where it can easily query everything with ease without minding other data exists somewhere. Could be on a different database, sitting on another server. Though the application will be a bit more complex in terms of design, often, it is easier to comprehend and develop if you have an app instance mind only a single tenant as oppose to an app instance trying to filter out other tenants just to get the information set of just one tenant.

Our Library System

Currently our library system runs on sharded mode both on premise and on cloud-like hosted environments. You might want to try its online search:

Looking at SQL Azure

Sharding isn’t automatic to any Microsoft SQL Server platform including SQL Azure. One needs to do it by hand and from ground up. This might change in the future though. I am quite sure Microsoft will see this compelling feature. SQL Azure is the only Azure based product that currently does not have natural/inherent support for scaling out.  If I am Microsoft, they should offer a full SQL Server service like shared windows hosting sites do along side SQL Azure so it eases up adoption. Our systems database design readiness (being currently sharded) would allow us to easily embrace the new service. But I understand, it would affect, possibly dampen their SQL Azure efforts if they do it. But I would try to reconsider it than offering a very anemic product.

As of now, though we may have wanted to take our library system to Azure with few minor tweaks, we just can’t in this version of SQL Azure for various reasons as stated below:

  • SQL Server Full Text Search. SQL Azure does not support this in its current version.
  • Database Backup and Restore. SQL Azure does not support this in its current version.
  • Reporting Services. SQL Azure does not support this in its current version.
  • $109.95 a month on Azure/SQL Azure versus $10 a month shared host with a full-featured IIS7/SQL Server 2008 DB

My Design Paid Off

Now I am quite happy that the potentials of a multi-tenant, sharded database design, though is as ancient, it is beginning to get attention with the advent of cloud computing. My 2004 database design is definitely laying the groundwork for cloud computing adoption. Meanwhile, I have to look for solutions to address what’s lacking in SQL Azure. There could be some easy work around.

I’ll find time on the technical aspects of sharding databases in my future blogs. I am also thinking that PHISSUG should have one of this sharding tech-sessions.

Toto Gamboa is a consultant specializing on databases, Microsoft SQL Server and software development operating in the Philippines. He is currently a member and one of the leaders of Philippine SQL Server Users Group, a Professional Association for SQL Server (PASS) chapter and is one of Microsoft’s MVP for SQL Server in the Philippines. You may reach him by sending an email to