![]() ![]() After the transaction is committed, the backend connection is returned back into the pool and the next waiting client connection gets to reuse the same connection immediately. The default and recommended setting option is transaction pooling mode allows each client connection to take their turn in using a backend connection for the duration of a single transaction. Connection pooling modes #Īiven for PostgreSQL supports three different operational pool modes: transaction, session and statement. However, when there are many distributed applications or devices accessing the same database, a server-side solution is a better approach. Many frameworks and libraries (ORMs, Django, Rails, etc.) support client-side pooling, which solves much the same problem. Aiven enforces connection limits to avoid overloading the PostgreSQL database. ![]() All this is workload-specific, but often a good number of connections to have is roughly 3-5 times the CPU core count. It makes sense to have enough connections so that each CPU core on the server has something to do (each connection can only utilise a single CPU core), but a hundred connections per CPU core may be too much. ![]() Moreover, if each connection is very active, the performance can be affected by the high number of parallel executing tasks. PostgreSQL creates a separate backend process for each connection, and the unnecessary memory usage caused by the processes will start affecting the total throughput of the system at some point. Why connection pooling? #Ī high number of backend connections can become a problem with PostgreSQL, as the resource cost per connection is quite high due to how PostgreSQL manages client connections. PgBouncer automatically inserts the client queries and only uses a limited number of actual backend connections, leading to lower resource usage on the server and better total performance. Unlike when you connect directly to the PostgreSQL® server, each client connection does not require a separate backend process on the server. Each pool can handle from a minimum of 5000 client connections to a maximum defined by the lower threshold between:ĥ00 for each GB of RAM in the service plan ![]()
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