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I am trying to push a binary file from Qlikview to Qliksense Cloud. But get following error when do full file:
Error: Cloud Native (documents): Failed to import app xxxName.qvw to engine. Exception: Response status code does not indicate success: 403 (Forbidden).
However, if I reduce the data before pushing it to cloud it is successful. So I dont believe it is permissions related. Could it be the size of the full file. I have loaded App Analyzer, but it doesnt provide data for the failed/ing process as it executes.
I am attaching the failed and successful log file.
@Adev a qvw can expand 4-6 times when loaded into memory, and this is what is causing the issue: you are going beyond capacity.
As suggested by @Albert_Candelario you should load the document into QlikView Desktop and check in the task manager the in-memory size.
You might consider uploading qvd files instead, since they are optimised for in-memory usage, but you still might need to split the data into separate tables and store those to qvd.
You can also consider dedicated capacity as an alternative.
Hi @Adev , what's the file size? What happens if you upload the same file manually to Qlik Cloud, instead?
Hello @Adev ,
The error message you are encountering suggests that the import process is being blocked by the Qlik Cloud. However, it also mentions that reducing the data size resolves the issue, which suggests that the size of the file may be a contributing factor.
What is the size of the QVW when been opened in QlikView Desktop? Analyse the qv.exe process and check the highest memory allocation value, not only the one when it has been fully opened.
Cheers,
Albert
@Daniele_Purrone the file size if 1.4 GB. When I place the file with curl, I get:
<head><title>413 Request Entity Too Large</title></head>
These are one of our smaller models. What should the approach be to move binary models from on-premise to the cloud.
@Adev a qvw can expand 4-6 times when loaded into memory, and this is what is causing the issue: you are going beyond capacity.
As suggested by @Albert_Candelario you should load the document into QlikView Desktop and check in the task manager the in-memory size.
You might consider uploading qvd files instead, since they are optimised for in-memory usage, but you still might need to split the data into separate tables and store those to qvd.
You can also consider dedicated capacity as an alternative.