sql2o
sql2o is a small library, which makes it easy to convert the result of your sql-statements into objects. No resultset hacking required. Kind of like an orm, but without the sql-generation capabilities. Supports named parameters. (by aaberg)
HikariCP
光 HikariCP・A solid, high-performance, JDBC connection pool at last. (by brettwooldridge)
| sql2o | HikariCP | |
|---|---|---|
| 1 | 33 | |
| 1,132 | 19,395 | |
| - | - | |
| 7.9 | 6.2 | |
| 18 days ago | about 1 month ago | |
| Java | Java | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
sql2o
Posts with mentions or reviews of sql2o.
We have used some of these posts to build our list of alternatives
and similar projects.
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Are there recommended approach working with Database except Panache/Hibernate ?
Mostly i think because in our Kubernetes - the max resources allocated for single service instance - 2gb ram + 4vcore (2vcore, for 4 there is special agreement process). Under load i often see high memory pressure (gc count, high pauses, etc.). But handling http requests and dealing with CRUD is not a big problem. The huge difference appears during data batch upload into big-data system. The only service which was able to upload it's database faster than 300k record/s+ (peak ingestion) is using https://github.com/aaberg/sql2o + https://vertx.io/docs/vertx-pg-client/java/ . I don't remember numbers for services which use hibernate, but they mostly are very low.
HikariCP
Posts with mentions or reviews of HikariCP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-15.
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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?
When comparing sql2o and HikariCP you can also consider the following projects:
JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.
c3p0 - a mature, highly concurrent JDBC Connection pooling library, with support for caching and reuse of PreparedStatements.
jOOQ - jOOQ is the best way to write SQL in Java
spring-boot-r2dbc - An example implementation of Spring Boot R2DBC REST API with PostgreSQL database.
H2 - H2 is an embeddable RDBMS written in Java.
Vibur DBCP - Vibur DBCP - concurrent and dynamic JDBC connection pool
Presto - The official home of the Presto distributed SQL query engine for big data
Crate - CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Flyway - Flyway by Redgate • Database Migrations Made Easy.
Querydsl - Unified Queries for Java