You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I've being running a query that takes too much time because of the wide range concerning the dates [Init(start.date,end.date,..)]. I am also using GetReportData(...,paginate_query=T,split_daywise=T).
In order to reduce the time, I've being trying to run in parallel the same query, changing only the start.date and end.date parameters. I am using the package doParallel on Windows. I am already exporting all the .GlobaEnv and the RGoogleAnalytics package to each new instance of R that is created to each core.
The problem is that this is taking much more time than if I try to run the query without parallelizing it. I couldn't get any results by doing it.
Does any one ever tried to use RGoogleAnalytics in parallel?
The text was updated successfully, but these errors were encountered:
Hi,
I've being running a query that takes too much time because of the wide range concerning the dates [Init(start.date,end.date,..)]. I am also using GetReportData(...,paginate_query=T,split_daywise=T).
In order to reduce the time, I've being trying to run in parallel the same query, changing only the start.date and end.date parameters. I am using the package doParallel on Windows. I am already exporting all the .GlobaEnv and the RGoogleAnalytics package to each new instance of R that is created to each core.
The problem is that this is taking much more time than if I try to run the query without parallelizing it. I couldn't get any results by doing it.
Does any one ever tried to use RGoogleAnalytics in parallel?
The text was updated successfully, but these errors were encountered: