Professional connection pool sizing with FlexyPool
Introduction I previously wrote about the benefits of connection pooling and why monitoring it is of crucial importance. This post will demonstrate how FlexyPool can assist you in finding the right size for your connection pools. Know your connection pool The first step is to know your connection pool settings. My current application uses XA transactions, therefore we use Bitronix transaction manager, which comes with its own connection pooling solution. Accord to the Bitronix connection pool documentation we need to use the following settings: minPoolSize: the initial connection pool size maxPoolSize: the… Read More
FlexyPool, reactive connection pooling
Introduction When I started working on enterprise projects we were using J2EE and the pooling data source was provided by the application server. Scaling up meant buying more powerful hardware to support the increasing request demand. The vertical scaling meant that for supporting more requests, we would have to increase the connection pool size accordingly. Horizontal scaling Our recent architectures shifted from scaling up to scaling out. So instead of having one big machine hosting all our enterprise services, we now have a distributed service network. This has numerous advantages: Each JVM… Read More
The anatomy of Connection Pooling
Introduction All projects I’ve been working on have used database connection pooling and that’s for very good reasons. Sometimes we might forget why we are employing one design pattern or a particular technology, so it’s worth stepping back and reason on it. Every technology or technological decision has both upsides and downsides, and if you can’t see any drawback you need to wonder what you are missing. The database connection life-cycle Every database read or write operation requires a connection. So let’s see how database connection flow looks like: The flow goes… Read More
Maven and Java multi-version modules
Introduction In this article, you are going to learn how to configure Maven to choose a specific Java version when the OS has multiple Java versions installed. For instance, FlexyPool uses Java 8 for all modules, except for the flexy-pool-core-java9 module that needs to be built using Java 9.
MongoDB 2.6 is $out
Introduction MongoDB is evolving rapidly. The 2.2 version introduced the aggregation framework as an alternative to the Map-Reduce query model. Generating aggregated reports is a recurrent requirement for enterprise systems and MongoDB shines in this regard. If you’re new to it you might want to check this aggregation framework introduction or the performance tuning and the data modelling guides.
Effective learning techniques for software craftsmen