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From Jan Høydahl <>
Subject Streaming timeseries() and buckets with no docs
Date Mon, 03 Sep 2018 12:58:38 GMT

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 -

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