HikariCP VS Ktorm

Looks like HikariCP is also awaiting fixes for this https://github.com/brettwooldridge/HikariCP/pull/2055

I have used hikari and exposed to do this in the past with postgres, although other dialects are supported.

I found one suggestion from the author of HikariCP on how to address this, which I implemented and it worked. However, there are additional classes involved, and it feels a little clunky and hard to follow.

Not really, you can change some things in spring boot but doing so will typically trigger a refresh which is less reliable than restarting but still causes a large performance hit. You could probably do it with hikari if you really needed to but it's inadvisable to build your application around this mechanic.

# https://github.com/brettwooldridge/HikariCP/wiki/About-Pool-Sizing

Not familiar with Python but this thread about a Java connection pool might be interesting: https://github.com/brettwooldridge/HikariCP/wiki/About-Pool-Sizing

Whatever you choose, presuming your app is database heavy, I highly recommend spending time on DB schema design to make all queries as short as possible, avoid relying on transactions, and keep your connection pool tiny. For reference: https://github.com/brettwooldridge/HikariCP/wiki/About-Pool-Sizing

You reminded me of the HikariCP library and it’s documentation: Clear and simple with references to other libraries trying to accomplish the same thing. It is not in the closure space though.

https://github.com/brettwooldridge/HikariCP

I have been ktorm(https://www.ktorm.org) for a long time, and it suit with kotlin's stream operation very well

I mean, I'm looking at this, for example: https://github.com/kotlin-orm/ktorm/tree/master/ktorm-core/src/main/kotlin/org/ktorm/dsl, so I wonder, what would be gained from a matrix?

First google hit for "Kotlin ORM": https://github.com/kotlin-orm/ktorm