Hello, I need to execute a udf record and stream over all the records but both return timeout I increased to 300000 but is not enought time. There’s some alternative, as run queries in background that bypass or hasn’t timeouts?
Thanks
Hello, I need to execute a udf record and stream over all the records but both return timeout I increased to 300000 but is not enought time. There’s some alternative, as run queries in background that bypass or hasn’t timeouts?
Thanks
Can you give us details on how you are executing the scan, code snippets, versions, etc. I ran into a similar issue using AQL… i think. but there’s not much detail here to say for certain
I run this scan
AGGREGATE myspace.sum() on namespace_.campaigns
I’m planning to run an aggregate process by each possible key in my “segments” map, to bypass the timeout, but is not the wished solution, some idea?
the code is a simple map aggregation
function sum(s)
local function filterStatus(rec)
return (rec['segments']~= nil)
end
local function my_aggregate_fn(mapa,rec)
if ( mapa['total']== nil) then
mapa['total'] = 0
end
mapa['total'] = mapa['total'] + 1
if (rec['segments']~= nil) then
for key in map.keys(rec['segments']) do
if ( mapa[key]== nil) then
mapa[key] = 0
end
mapa[key] = mapa[key] + 1
end
end
return map
end
local function my_reduce_fn(a,b)
local out = map()
out['total'] = ( a['total'] + b['total'] )
return out
end
return s : aggregate({total = 0} , my_aggregate_fn): reduce(my_reduce_fn)
end
I assume you’re using AQL then? What version of server/tools? Can you try executing it through the client api instead? AQL is a bit funky and really isn’t mean for much except convenient debugging. It acts funny on certain object types, sizes, and on udf invocations im my experience.