Deployment Log

The Deployment Log in Astera Data Virtualization provides complete details about the jobs run as part of virtual data model deployment. The insights include extensive details, such as the status of the project archive (*.car) file, saving details in the repository, caching progress for each entity, the result of deployment, etc. 

To learn more about how to deploy a virtual data model on the server, click here

Once you deploy a virtual data model, the Deployment Log will allow you to monitor the entire deployment process 

Here is a screenshot of the Deployment Log: 


You can see the jobs running sequentially in the process of virtual data model deployment. 


You can also find server details, deployment job ID, and the date and time of execution for each job. 


The Deployment Log gives you instant insights into the status and progress of the deployment. This includes setting up the archive for deployment, saving it in a specified repository, and information regarding caching of entities. It also presents a detailed report of the caching process, such as when the cache tables were created and populated for each entity in the virtual data model.  


You can view the progress of each caching job by clicking on the ‘P’ flag in the sidebar. 


This will open a new tab in the deployment log where you can get a summary of the caching job. It includes details about the cache table being populated, the number of input and output records, and the errors that occurred during the process.  


This caching progress report can be exported to an excel file. Right-click anywhere on the caching progress window in the Deployment Log and select ‘Export to Excel’ from the list. This will open up a new dialog box where you will be required to select a folder to save your caching report. Click Save and your caching progress report will be exported to Excel.  


Similarly, you can export the deployment progress to a text file or Excel by right-clicking anywhere on the deployment log and following the same method as explained above.  





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