HikariCP
FlexyPool
| HikariCP | FlexyPool | |
|---|---|---|
| 34 | 2 | |
| 19,927 | 1,073 | |
| - | - | |
| 7.5 | 0.0 | |
| 18 days ago | 8 months ago | |
| Java | Java | |
| Apache License 2.0 | Apache License 2.0 |
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HikariCP
- Melhorando o desempenho de aplicações Spring Boot - Parte II
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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
FlexyPool
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Scalable Sequence for PostgreSQL
However, PostgreSQL caches the sequences per-connection (different from Oracle that caches in the instance shared memory). Sequences can be a bottleneck in case of a storm where all have a cold cache, and here is a workaround. Note that re-connecting in PostgreSQL is expensive for many reasons and better fixt that with a connection pool that is not too dynamic (if you need this, you should have a look at FlexiPool)
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Do you have a github account ? What are you working on as a Java side-project ?
FlexyPool
What are some alternatives?
c3p0 - a mature, highly concurrent JDBC Connection pooling library, with support for caching and reuse of PreparedStatements.
Vibur DBCP - Vibur DBCP - concurrent and dynamic JDBC connection pool
spring-boot-r2dbc - An example implementation of Spring Boot R2DBC REST API with PostgreSQL database.
MapDB - MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. It is a fast and easy to use embedded Java database engine.
Apache Phoenix - Apache Phoenix
JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.
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.
Apache Hive - Apache Hive
jOOQ - jOOQ is the best way to write SQL in Java