y on base of Solr 7.
I implemented class CMSFacetStream extends TupleStream implements
Expressible and class CMSMetric extends Metric.
My current issues:
- I return results tuples as soon as I achieve bucketSizeLimit, but I
don’t
see response of partial result.
- How can I return Json object from Metric class?
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cebook,... ]
> }
>
> Expected result :
> watsapp: 2
> facebook : 2
>
> I have 2 TB data . I wanted to execute in aggmode=map_reduce. Any
> suggestion?
>
>
>
>
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> nabble.com/Multip
?
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Thanks a lot, Joel, for your very fast and informative reply!
We'll chew on this and add a Jira if we're going on this route.
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On Tue, Aug 16, 2016 at 8:29 PM, Joel Bernstein
For the initial implementation we could skip the merge piece if that helps
get things done faster. In this scenario the metrics could be gathered
after some parallel operation, then there would be no need for a merge.
Sample syntax:
metrics(parallel(join())
Joel Bernstein
The concept of a MetricStream was in the early designs but hasn't yet been
implemented. Now might be a good time to work on the implementation.
The MetricStream wraps a stream and gathers metrics in memory, continuing
to emit the tuples from the underlying stream. This allows multiple
Hello Solr users :)
Right now it seems that if I want to rollup on two different fields
with streaming expressions, I would need to do two separate requests.
This is too slow for our use-case, when we need to do joins before
sorting and rolling up (because we'd have to re-do the joins).
Since in
