Hi
We have a timeseries expression with gap="+1DAY" and a sum(imps_l) to aggregate
sums of an integer for each bucket.
Now, some day buckets do not contain any documents at all, and instead of
returning a tuple with value 0, it returns
a tuple with no entry at all for the sum, see the bucket for date_dt 2018-06-22
below:
{
"result-set": {
"docs": [
{
"sum(imps_l)": 0,
"date_dt": "2018-06-21",
"count(*)": 5
},
{
"date_dt": "2018-06-22",
"count(*)": 0
},
{
"EOF": true,
"RESPONSE_TIME": 3
}
]
}
}
Now when we want to convert this into a column using col(a,'sum(imps_l)') then
that array will get mostly numbers
but also some string entries 'sum(imps_l)' which is the key name. I need purely
integers in the column.
Should the timeseries() have output values for all functions even if there are
no documents in the bucket?
Or is there something similar to the select() expression that can take a stream
of tuples not originating directly
from search() and replace values? Or is there perhaps a function that can loop
through the column produced by col()
and replace non-numeric values with 0?
--
Jan Høydahl, search solution architect
Cominvent AS - www.cominvent.com
