A slice of life: table partitioning in PostgreSQL databases

In any successful project, a surge in traffic, accompanied by increasing amounts of data which must be stored and processed, is an inevitability. Accordingly, the database itself is typically one of the main bottlenecks during rapid business growth because data volume directly affects query execution speed.You might try tolerating this speed degradation for a bit, or you could attempt to scale your system via additional resources (although, let’s be blunt here—this isn’t the most affordable way of solving the problem). Further still, there’s also a cheaper and much more efficient solution available: partitioning.