Well, previosely we defined an estimation for database connection – about twice amount of concurrent Documentum sessions – may be less, may be more, depends on application. Now the question: how many connections is it possible to create in database? OpenText thinks that the number of database connections is unlimited:
D2 runs on content server which has good scalability by adding additional content server nodes. Content server is often the bottleneck of the whole D2 topology when the system is running under a heavy load condition. When content server reaches its bottleneck, we could monitored the CPU usage of content server is up to 90% and the number of active sessions grows very fast. To add one additional content server node to the existing environment could improve system throughput significantly.
Officially we suggests adding one additional content server node on every 300 concurrent users’ growth. The mileage
which is actually not true, on the other hand if OpenText has written something like: our product fails to take advantage of best practices and does not pool database connections, it would be ridiculous, so instead of improving product they has preferred to declare another marketing bullshit.
So, why database connection pooling is important? If you try to ask google you will find something like: creating database connection is an expensive and time-consuming operation: application needs to perform TCP (or even TLS) handshake, authenticate, database needs to start new process, etc…, so, it is recommended to pool database connections. Unfortunately it is only a half of the truth – pools also limit the number of concurrent database connections, and it is important too, let me quote the best oracle database expert ever:
In looking at your Automatic Workload Repository report, I see that the longest-running events at the system level are latch-related: cache buffers chains and library cache. Additionally, your CPU time was way up there. Concurrency-based waits are caused by one thing and one thing only: having many concurrently active sessions. If you had fewer concurrently active sessions, you would by definition have fewer concurrency-based waits (fewer people contending with each other). I see that you had 134 sessions in the database running on a total of 4 CPU cores. Because it is not really possible for 4 CPU cores to allow 134 sessions to be concurrently active, I recommend that you decrease the number of concurrent sessions by reducing the size of your connection pool—radically. Cut your connection pool to something like 32. It is just not possible for 4 cores to run 134 things at the same time; 4 cores can run only 4 things at exactly the same time. If you reduce the concurrent user load, you’ll see those waits go down, response time go down, and your transaction rates improve. In short, you’ll find out that you can actually do more work with fewer sessions than you can with more.
I know that this fewer-does-more suggestion sounds counterintuitive, but I encourage you to watch this narrated Real World Performance video.
In this video, you’ll see what happens in a test of a 12-core machine running transactions and decreasing the size of a connection pool from an unreasonable number (in the thousands) to a reasonable number: 96. At 96 connections on this particular machine, the machine was able to do 150 percent the number of transactions per second and took the response time for these transactions from ~100 milliseconds down to ~5 milliseconds.
Short of reducing your connection pool size (and therefore changing the way the application is using the database by queuing in the middle-tier connection pool instead of queuing hundreds of active sessions in the database), you would have to change your queries to make them request cache buffers chains latches less often. In short: tune the queries and the algorithms in the application. There is literally no magic here. Tweaking things at the system level might not be an option. Touching the application might have to be an option.
And from Documentum perspective, the only option to limit the number of database connections is to use shared server feature (fuck yeah, Oracle supports Database Resident Connection Pooling since 11g, but mature product does not). And do not pay much attention to EMC’s documents like Optimizing Oracle for EMC Documentum – such documents are wrong from beginning to end.