Checked git history for TimeSeriesStream on master, and I cannot see any 
commits related to this?

SOLR-11914: Deprecated some SolrParams methods. * toSolrParams(nl) moved to a 
NamedList method, which is more natural. David Smiley 23.04.2018, 19:26
SOLR-11629: Add new CloudSolrClient.Builder ctors Jason Gerlowski 10.03.2018, 
15:30
SOLR-11799: Fix NPE and class cast exceptions in the TimeSeriesStream Joel 
Bernstein 28.12.2017, 17:14
SOLR-11490: Add missing @since tags To all descendants of TupleStream Alexandre 
Rafalovitch 19.10.2017, 03:38
SOLR-10770: Fix precommit Joel Bernstein 30.05.2017, 20:51
SOLR-10770: Add date formatting to timeseries Streaming Expression Joel 
Bernstein 30.05.2017, 20:38
SOLR-10566: Fix error handling Joel Bernstein 01.05.2017, 18:06
SEARCH-313: Handled unescaped plus sign in gap Joel Bernstein 27.04.2017, 04:34
SOLR-10566: Fix precommit Joel Bernstein 26.04.2017, 17:17
SOLR-10566: Add timeseries Streaming Expression Joel Bernstein 26.04.2017, 16:57

--
Jan Høydahl, search solution architect
Cominvent AS - www.cominvent.com

> 5. sep. 2018 kl. 16:12 skrev Jan Høydahl <jan....@cominvent.com>:
> 
> I have tested this with latest released ver 7.4.0
> 
> --
> Jan Høydahl, search solution architect
> Cominvent AS - www.cominvent.com <http://www.cominvent.com/>
> 
>> 4. sep. 2018 kl. 16:32 skrev Joel Bernstein <joels...@gmail.com 
>> <mailto:joels...@gmail.com>>:
>> 
>> Which version are you using?
>> 
>> I remember addressing this issue, but it may have been in Alfresco's
>> version of Solr and never got ported back.
>> 
>> I do agree that in a time series a null value is not what people want. It
>> is a very small change to populate with zeros if it has not already been
>> done in the latest versions.
>> 
>> Joel Bernstein
>> http://joelsolr.blogspot.com/ <http://joelsolr.blogspot.com/>
>> 
>> 
>> On Mon, Sep 3, 2018 at 8:58 AM Jan Høydahl <jan....@cominvent.com> wrote:
>> 
>>> 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
>>> 
>>> 
> 

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