Introducing Materialized Views with StackQL
Materialized Views are now available in StackQL. Materialized Views can be used to improve performance for dependent or repetetive queries within StackQL provisioning or analytics routines.
Materialized Views are now available in StackQL. Materialized Views can be used to improve performance for dependent or repetetive queries within StackQL provisioning or analytics routines.
Many provider query responses include columns which are arrays, the iam policy related resources in google are a classic example of this. for example, this query:
select *
from google.cloudresourcemanager.projects_iam_policies
where projectsId = 'stackql';
stackql is a dev tool that allows you to query, manage, and perform analytics against cloud and SaaS resources in real time using SQL, which developers and analysts can use for CSPM, assurance, user access management reporting, IaC, XOps and more.
We are pleased to announce the addition of support for OUTER JOIN operations in StackQL queries. This is a significant addition to the language, and we are excited to see what our users will do with it!
stackql is a dev tool that allows you to query and manage cloud and SaaS resources using SQL, which developers and analysts can use for CSPM, assurance, user access management reporting, IaC, XOps and more.
pystackql is now available in PyPI, and documentation for the package is available at Read the Docs. pystackql can be used with pandas, matplotlib, plotly, jupyter and more to run queries and visualize results.
stackql is a dev tool that allows you to query and manage cloud and SaaS resources using SQL, which developers and analysts can use for CSPM, assurance, user access management reporting, IaC, XOps and more.
The setup-stackql action is now available in the GitHub Marketplace. setup-stackql downloads and installs the latest stackql binary in your Actions runner. Different runner operating systems are fully tested and supported, including ubuntu-latest, windows-latest and darwin-latest.