Hello,
- Using 2019.1.1
I wanted to see how the sbsarexporter would be setup using the API.
Here is my example of what I'm executing in the SD Python IDE after loading a Package with a series of graphs.
https://gist.github.com/jasonbrackman/8f9babb0e65547b2bc0e2364768023a9Unfortunately, this particular package consumes a lot of memory and when it hits about 2.3gigs (using Process Explorer to view this) -- the sbsar export just turns into a crawl. I have a lot more memory available
-- is there any hints or tips to get past this?
For context my timings show that individual graphs take (wall clock time) a second to save per graph in a package -- but as soon as I hit that 2.3gig barrier -- minutes can pass before the export completes.
Jason
