12 columns, 50k rows (17k rows in the query result) cacheable=True is about 0.3s faster.
The costliness of building the whole model comes (mostly) from reference types? On Monday, October 2, 2023 at 11:22:53 PM UTC+2 Niphlod wrote: > how many rows and how many columns ? the raw one is returning whatever > type the underlying database structure has as it is, the pydal one is > building the whole model (including references) > did you try with cacheable=True in the pydal one ? it won't build > update_records and delete_records, for starters. > > On Monday, October 2, 2023 at 8:04:04 PM UTC+2 Jim S wrote: > >> The only thing I can see is that the SQL needs to be 'built' by pydal, >> but I find it hard to believe it takes a whole second. Massimo might have >> to add context here. >> >> -Jim >> >> On Monday, October 2, 2023 at 1:00:19 PM UTC-5 urban....@gmail.com wrote: >> >>> Sorry my bad! I mixed up the timings when editing the post. >>> >>> The slower timing is for the dal version. >>> Moreover the dal version is slower even if I remove the .as_list() call. >>> I had originally tried that. >>> When I get the time I'll try "debugging" it by looking at the dal.py >>> source. >>> Asking here if anyone knows an obvious reason for this that I am missing. >>> On Monday, October 2, 2023 at 5:53:47 PM UTC+2 Jim S wrote: >>> >>>> It's possible I'm reading this wrong (it is Monday morning), but .09s >>>> (DAL) is faster than 1.8s (raw SQL). >>>> >>>> Is that a typo? Or, is it my Monday-morning-brain? >>>> >>>> If your raw query is slower, could it be because you're converting to a >>>> dict instead of a list as in your dal query? >>>> >>>> -Jim >>>> >>>> On Monday, October 2, 2023 at 3:07:26 AM UTC-5 urban....@gmail.com >>>> wrote: >>>> >>>>> ids = tuple(m['id'] for m in relevant_models) >>>>> raw_q = db.executesql(""" >>>>> SELECT >>>>> * >>>>> FROM "table" >>>>> WHERE ("table".ref_id" IN {}); >>>>> """.format(str(ids)), as_dict=True) >>>>> #################### 1.8s >>>>> >>>>> ids = tuple(m['id'] for m in relevant_models) >>>>> dal_q = db( >>>>> db.table.ref_id.belongs(ids) >>>>> ).select(db.table.ALL).as_list() >>>>> ##################### 0.09s >>>>> *Web2Py 2.22.3* >>>>> >>>>> Why would the dal query be so much slower than the raw sql? The >>>>> generated sql (db._lastsql) is the same as the raw. >>>>> >>>>> -- Resources: - http://web2py.com - http://web2py.com/book (Documentation) - http://github.com/web2py/web2py (Source code) - https://code.google.com/p/web2py/issues/list (Report Issues) --- 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. To view this discussion on the web visit https://groups.google.com/d/msgid/web2py/cb9040d8-968c-4900-b655-8c20625dc870n%40googlegroups.com.