jasync-sql
HikariCP
| jasync-sql | HikariCP | |
|---|---|---|
| 1 | 33 | |
| 1,619 | 19,424 | |
| 0.2% | - | |
| 6.9 | 6.2 | |
| 6 months ago | about 1 month ago | |
| Kotlin | Java | |
| Apache License 2.0 | Apache License 2.0 |
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jasync-sql
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Java virtual threads caused a deadlock in TPC-C for PostgreSQL
Was curious what it is "jasync". And man it hurts me to see documentation like this (when compared to classic javadocs)
https://github.com/jasync-sql/jasync-sql/wiki/API-Overview
From project WIKI (https://github.com/jasync-sql/jasync-sql/wiki)
HikariCP
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Java virtual threads caused a deadlock in TPC-C for PostgreSQL
Looks like HikariCP is also awaiting fixes for this https://github.com/brettwooldridge/HikariCP/pull/2055
- About Pool Sizing
- HikariCP maximumPoolSize based on AWS ECS number of tasks
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Writing to db
I have used hikari and exposed to do this in the past with postgres, although other dialects are supported.
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A Tale of Two Connection Pools
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.
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Spring boot change password runtime
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.
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Help with bungeecord server
# https://github.com/brettwooldridge/HikariCP/wiki/About-Pool-Sizing
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Currently load testing a Django API I don’t get good results, Help me brainstorm this
Not familiar with Python but this thread about a Java connection pool might be interesting: https://github.com/brettwooldridge/HikariCP/wiki/About-Pool-Sizing
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Should I use diesel ORM if performance is the most important thing?
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
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Art of README
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
What are some alternatives?
Ktorm - A lightweight ORM framework for Kotlin with strong-typed SQL DSL and sequence APIs.
c3p0 - a mature, highly concurrent JDBC Connection pooling library, with support for caching and reuse of PreparedStatements.
Exposed - Kotlin SQL Framework
spring-boot-r2dbc - An example implementation of Spring Boot R2DBC REST API with PostgreSQL database.
kt-postgresql-async - Kotlin 1.1 async clients for sync protocols: Mysql, Postgres, Thrift, Http
Vibur DBCP - Vibur DBCP - concurrent and dynamic JDBC connection pool
spring-data-jpa-mongodb-expressions - Use the MongoDB query language to query your relational database, typically from frontend.
JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.
requery - requery - modern SQL based query & persistence for Java / Kotlin / Android
Flyway - Flyway by Redgate • Database Migrations Made Easy.
potassium-nitrite
jOOQ - jOOQ is the best way to write SQL in Java