HikariCP
c3p0
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| HikariCP | c3p0 | |
|---|---|---|
| 33 | 1 | |
| 19,369 | 1,269 | |
| - | - | |
| 6.5 | 9.4 | |
| 28 days ago | about 1 month ago | |
| Java | Java | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
c3p0
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Building cloud native apps: Databases best practices
If you are looking for Java examples: I used C3P0 in the past and then switched to Hikari.
What are some alternatives?
spring-boot-r2dbc - An example implementation of Spring Boot R2DBC REST API with PostgreSQL database.
migrator - Super fast and lightweight DB migration & evolution tool written in Go
Vibur DBCP - Vibur DBCP - concurrent and dynamic JDBC connection pool
JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.
Flyway - Flyway by Redgate • Database Migrations Made Easy.
jOOQ - jOOQ is the best way to write SQL in Java
Presto - The official home of the Presto distributed SQL query engine for big data
H2 - H2 is an embeddable RDBMS written in Java.
FlexyPool - FlexyPool adds metrics and failover strategies to a given Connection Pool, allowing it to resize on demand.
Apache Hive - Apache Hive
Apache Phoenix - Apache Phoenix
Jedis - Redis Java client