Since all my analytics will be done through the database, i require the log data in the table(by end of day at least).. So if I write all logs to redis and then can I run scheduler to flush it to db? Do you think that would be the right approach?
On Monday, June 17, 2013 9:10:31 PM UTC+5:30, Niphlod wrote: > > continous operations kinda don't play well with logs files.... issues are > more prominent in a multiprocess environment. > > Redis can do it without hiccup, if you have it in your environment... > > > > Il giorno lunedì 17 giugno 2013 15:22:43 UTC+2, ssuresh ha scritto: >> >> hi, >> I am planning to build some sort of user action analytics into my >> system. For this, I need to log all user actions into the table . Since an >> additional db write for every function call can be a performance issue, my >> idea is to introduce an async batch write(say after every hundred lines of >> logs, a job will bulk insert that into the table). >> >> Please advice on the best way of doing this using web2py. >> >> regds, >> Suresh >> > -- --- You received this message because you are subscribed to the Google Groups "web2py-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to web2py+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
