This is the first episode of “Discovering MySQL Database Service“, a series of tutorials where I will show you, step by step, how to use MySQL Database Service and some other Oracle Cloud Infrastructure services.
Like any series, in this episode I’m going to give you some context and set up the characters.
If you have (too) long running select queries it is probably because of lack of relevant indexes, problematic schema that lead to poor queries or inadequate hardware.
That said, sometime even if you doing it right, the query execution time could be too long regarding of what the application or your users expect. It is often true for reporting, real time analytics or BI queries.
At Oracle we have developed Heatwave, that allow you to easily run high performance analytics against your MySQL database.
To be more precise, Heatwave is a massively-scalable integrated analytics engine for MySQL Database Service (MDS), the MySQL DBaaS in Oracle Cloud Infrastructure (OCI).
Some key points of Heatwave:
– Single MySQL database for OLTP & analytics applications
– All existing applications work without any changes
– Extreme performance:
+ 400x faster than MySQL, scales to thousands of cores
+ 1100x faster than Amazon
Aurora
+ 2.7x faster than Amazon Redshift
Cloud backup is a strategy increasingly used in organizations. Send copies of your data to the cloud, can help you to prevent a devastating IT crisis and ensure business continuity.
Currently, MySQL Enterprise Backup supports the following types of cloud storage services:
– Oracle Cloud Infrastructure (OCI) Object Storage
– OpenStack Swift or compatible object storage services
– Amazon Simple Storage Service (S3) or compatible storage service
MySQL Database Service (MDS) est un service d’Oracle Cloud Infrastructure (OCI) entièrement développé, géré et supporté par l’équipe MySQL d’Oracle.