Hi, Brett Wooldridge here, one of the principals of HikariCP. I thought I'd wade into the conversation pool a little myself if you guys don't mind.
Speaking to David's point...
>> Reaching the maxPoolSize from the minPoolSize means creating the
>> connections at the crucial moment where the client application is in the
>> desperate need of completing an important query/transaction which the
>> primary responsibility since it cannot hold the data collected.
This was one of the reasons I was proposing the fixed pool design. In my experience, even in pools that maintain a minimum number of idle connections, responding to spike demands is problematic. If you have a pool with say 30 max. connections, and a 10 minimum idle connection goal, a sudden spike demand for 20 connections means the pool can satisfy 10 instantly but then is left to [try to] establish 10 connections before the application's connectionTimeout (read acquisition timeout from the pool) is reached. This in turn generates a spike demand on the database slowing down not only the connection establishments themselves but also slowing down the completion of transactions that might actually return connections to the pool.
As I think Tom noted is a slidestack I read somewhere, there is a "knee" in the performance curve beyond which additional connections cause a drop in TPS. While users often think it is a good idea to have maxPoolSize of 100, the reality is they can retire/reuse connections faster with a much smaller pool. I didn't see a pool of a 2 or 3 dozen connections actually impacting performance much when half of them are idle and half are executing transactions (ie. the idle ones don't impact the overall performance much).
Finally, one of my contentions was, either your database server has resources or it doesn't. Either it has enough memory and processing power for N connections or it doesn't. If the pool is set below, near, or at that capacity what is the purpose of releasing connections in that case? Yes, it frees up memory, but that memory is not really available for other use given that at any instant the maximum capacity of the pool may be demanded.
Instead releasing resources only to try to reallocate them during a demand peak seems counter-productive.
I'd appreciate any shared thoughts on my presuppositions.
-Brett
Speaking to David's point...
>> Reaching the maxPoolSize from the minPoolSize means creating the
>> connections at the crucial moment where the client application is in the
>> desperate need of completing an important query/transaction which the
>> primary responsibility since it cannot hold the data collected.
This was one of the reasons I was proposing the fixed pool design. In my experience, even in pools that maintain a minimum number of idle connections, responding to spike demands is problematic. If you have a pool with say 30 max. connections, and a 10 minimum idle connection goal, a sudden spike demand for 20 connections means the pool can satisfy 10 instantly but then is left to [try to] establish 10 connections before the application's connectionTimeout (read acquisition timeout from the pool) is reached. This in turn generates a spike demand on the database slowing down not only the connection establishments themselves but also slowing down the completion of transactions that might actually return connections to the pool.
As I think Tom noted is a slidestack I read somewhere, there is a "knee" in the performance curve beyond which additional connections cause a drop in TPS. While users often think it is a good idea to have maxPoolSize of 100, the reality is they can retire/reuse connections faster with a much smaller pool. I didn't see a pool of a 2 or 3 dozen connections actually impacting performance much when half of them are idle and half are executing transactions (ie. the idle ones don't impact the overall performance much).
Finally, one of my contentions was, either your database server has resources or it doesn't. Either it has enough memory and processing power for N connections or it doesn't. If the pool is set below, near, or at that capacity what is the purpose of releasing connections in that case? Yes, it frees up memory, but that memory is not really available for other use given that at any instant the maximum capacity of the pool may be demanded.
Instead releasing resources only to try to reallocate them during a demand peak seems counter-productive.
I'd appreciate any shared thoughts on my presuppositions.
-Brett
