Skip to content

Ompp UI Disk Space Cleanup

amc1999 edited this page Dec 20, 2024 · 3 revisions

Home > Disk space usage and cleanup

This topic shows functionality of the OpenM++ UI through annotated screenshots. The UI can also be explored by hovering over elements to display short descriptions.

It is a common practice to set a limit (quota) on storage space for cloud users. If your models data exceeded storage quota then you no longer able to run the models or upload input scenarios until cleanup is done.

OpenM++ UI: View and cleanup storage space

In order to cleanup storage space please do:

  • delete the models which you are not planning to use
  • delete old files in Downloads and Uploads cloud folders
  • delete old model runs
  • delete old input scenarios
  • reduce size of your model database file(s) as described below

It is important to remove old model runs and scenarios first and only after that click on "Cleanup Database" button. If you have not deleted anything from the model database then cleanup may not be able to reduce the size of your database file.

As first step you should close database file:

OpenM++ UI: Close model database

After model database is closed you can click on Cleanup database button. Cleanup may take a few minutes or multiple hours, depending on your model and number of runs remaining in the database.

OpenM++ UI: Start database cleanup

OpenM++ UI: Database cleanup in progress

You can examine database cleanup log file for details or errors:

OpenM++ UI: Database cleanup log files

After cleanup is completed you need to click on Open database file button in order to use the model:

OpenM++ UI: Open model database file

Home

Getting Started

Model development in OpenM++

Using OpenM++

Model Development Topics

OpenM++ web-service: API and cloud setup

Using OpenM++ from Python and R

Docker

OpenM++ Development

OpenM++ Design, Roadmap and Status

OpenM++ web-service API

GET Model Metadata

GET Model Extras

GET Model Run results metadata

GET Model Workset metadata: set of input parameters

Read Parameters, Output Tables or Microdata values

GET Parameters, Output Tables or Microdata values

GET Parameters, Output Tables or Microdata as CSV

GET Modeling Task metadata and task run history

Update Model Profile: set of key-value options

Update Model Workset: set of input parameters

Update Model Runs

Update Modeling Tasks

Run Models: run models and monitor progress

Download model, model run results or input parameters

Upload model runs or worksets (input scenarios)

Download and upload user files

User: manage user settings

Model run jobs and service state

Administrative: manage web-service state

Clone this wiki locally