Apache ShardingSphere Enterprise User Case — Energy Monster

This page summarizes the projects mentioned and recommended in the original post on dev.to
#Distributed Databases #Testing #Database #distributed-database #Druid

Our great sponsors
  • Onboard AI - Learn any GitHub repo in 59 seconds
  • InfluxDB - Collect and Analyze Billions of Data Points in Real Time
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors

  • shardingsphere

    Distributed SQL transaction & query engine for data sharding, scaling, encryption, and more - on any database.

  • PHPT

    The PHP Interpreter

    UCS is Energy Monster’s user-centric service providing basic functionality for users on the Server side. In 2018, it was stripped from PHP Server and moved to the Java technology stack to implement microservitization.

  • Onboard AI

    Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.

  • Druid

    Apache Druid: a high performance real-time analytics database.

    The configuration items have 108 pieces of real tables in a database. According to the configuration of maxConnectionsizeperquery=50, ShardingSphere-JDBC uses the connection limit mode, divides the query requests into three groups, and merges the results with in-memory. As a result, 36 database connections are required for one query. But the maxActive configured by the druid thread pool is set to 20, resulting in a deadlock.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts