I have a table with a heavy load(many inserts/updates/deletes) in a SQL2005 database. I'd like to do some post processing for all these changes in as close to real time as possible(asynchronously so as not to lock the table in any way). I've looked a number of possible solutions but just can't seem to find that one neat solution that feels right.
The kind of post processing is fairly heavy as well, so much so that the windows listener service is actually going to pass the processing over to a number of machines. However this part of the application is already up and running, completetly asynchronous, and not what I need help with - I just wanted to mention this simply because it affects the design decision in that we couldn't just load up some CLR object in the DB to complete the processing.
So, The simple problem remains: data changes in a table, I want to do some processing in c# code on a remote server.
At present we've come up with using a sql trigger, which executes "xp_cmdshell" to lauch an exe which raises an event which the windows service is listening for. This just feels bad.
However, other solutions I've looked at online feel rather convoluted too. For instance setting up SQLCacheDependancy also involves having to setup Service broker. Another possible solution is to use a CLR trigger, which can call a webservice, but this has so many warnings online about it being a bad way to go about it, especially when performance is critical.
Idealy we wouldn't depnd on the table changes but would rather intercept the call inside our application and notify the service from there, unfortunately though we have some legacy applications making changes to the data too, and monitoring the table is the only centralised place at the moment.
Any help would be most appreciated.
Summary:
You really don't have that many ways to detect changes in SQL 2005. You already listed most of them.
Query Notifications. This is the technology that powers SqlDependency and its derivatives, you can read more details on The Mysterious Notification. But QN is designed to invalidate results, not to pro-actively notify change content. You will only know that the table has changes, without knowing what changed. On a busy system this will not work, as the notifications will come pretty much continously.
Log reading. This is what transactional replication uses and is the least intrusive way to detect changes. Unfortunately is only available to internal components. Even if you manage to understand the log format, the problem is that you need support from the engine to mark the log as 'in use' until you read it, or it may be overwritten. Only transactional replication can do this sort of special marking.
Data compare. Rely on timestamp columns to detect changes. Is also pull based, quite intrussive and has problems detecting deletes.
Application Layer. This is the best option in theory, unless there are changes occuring to the data outside the scope of the application, in which case it crumbles. In practice there are always changes occuring outside the scope of the application.
Triggers. Ultimately, this is the only viable option. All change mechanisms based on triggers work the same way, they queue up the change notification to a component that monitors the queue.
There are always suggestions to do a tightly coupled, synchronous notification (via xp_cmdshell, xp_olecreate, CLR, notify with WCF, you name it), but all these schemes fail in practice because they are fundamentally flawed:
- they do not account for transaction consistency and rollbacks
- they introduce availability dependencies (the OLTP system cannot proceed unless the notified component is online)
- they perform horribly as each DML operation has to wait for an RPC call of some form to complete
If the triggers do not actually actively notify the listeners, but only queue up the notifications, there is a problem in monitoring the notifications queue (when I say 'queue', I mean any table that acts as a queue). Monitoring implies pulling for new entries in the queue, which means balancing the frequency of checks correctly with the load of changes, and reacting to load spikes. This is not trivial at all, actually is very difficult. However, there is one statement in SQL server that has the semantics to block, without pulling, until changes become available: WAITFOR(RECEIVE). That means Service Broker. You mentioned SSB several times in your post, but you are, rightfuly so, scared of deploying it because of the big unknown. But the reality is that it is, by far, the best fit for the task you described.
You do not have to deploy a full SSB architecture, where the notificaition is delivered all the way to the remote service (that would require a remote SQL instance anyway, even an Express one). All you need to accomplice is to decouple the moment when the change is detected (the DML trigger) from the moment when the notification is delivered (after the change is commited). For this all you need is a local SSB queue and service. In the trigger you SEND a change notification to the local service. After the original DML transaction commits, the service procedure activates and delivers the notification, using CLR for instance. You can see an example of something similar to this at Asynchronous T-SQL.
If you go down that path there are some tricks you'll need to learn to achieve high troughput and you must understant the concept of ordered delivery of messages in SSB. I reommend you read these links:
About the means to detect changes, SQL 2008 apparently adds new options: Change Data Capture and Change Tracking. I emphasizes 'apparently', since they are not really new technologies. CDC uses log reader and is based on the existing Transactional replication mechanisms. CT uses triggers and is very similar to existing Merge replication mechanisms. They are both intended for occasionally connected systems that need to sync up and hence not appropiate for real-time change notification. They can populate the change tables, but you are left with the task to monitor these tables for changes, which is exactly from where you started.