mondrian
HikariCP
| mondrian | HikariCP | |
|---|---|---|
| 2 | 33 | |
| 1,120 | 19,424 | |
| 0.4% | - | |
| 7.3 | 6.2 | |
| 5 days ago | about 1 month ago | |
| Java | Java | |
| Eclipse Public License 1.0 | Apache License 2.0 |
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mondrian
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Welcome to the free open-source OLAP server project
eMondrian is a free open-source OLAP server. It is based on the Mondrian project. OLAP server allows you to represent your database as a multidimensional space with dimensions and measures. It hides the complexity of underlying tables and their relations and allows you to interactively analyze data from multiple perspectives. eMondrian server can run on Windows and Linux operating systems.
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The Rise and Fall of the OLAP Cube (2020)
Related question; does anyone use JVM-based OLAP that is not based on Mondrian (https://github.com/pentaho/mondrian) but still supports MDX queries? We've been looking for alternatives for a while.
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?
ClickHouse - ClickHouse® is a free analytics DBMS for big data
c3p0 - a mature, highly concurrent JDBC Connection pooling library, with support for caching and reuse of PreparedStatements.
dbeaver - Free universal database tool and SQL client
spring-boot-r2dbc - An example implementation of Spring Boot R2DBC REST API with PostgreSQL database.
Presto - The official home of the Presto distributed SQL query engine for big data
Vibur DBCP - Vibur DBCP - concurrent and dynamic JDBC connection pool
Apache Cassandra - Mirror of Apache Cassandra
JDBI - The Jdbi library provides convenient, idiomatic access to relational databases in Java and other JVM technologies such as Kotlin, Clojure or Scala.
PHP Code Sniffer - PHP_CodeSniffer tokenizes PHP files and detects violations of a defined set of coding standards.
Flyway - Flyway by Redgate • Database Migrations Made Easy.
Qafoo Quality Analyzer - Tool helping us to analyze software projects
jOOQ - jOOQ is the best way to write SQL in Java