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From "Dale LaBossiere (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (EDGENT-409) Add analytic aggregations for non-JsonObject types
Date Fri, 21 Apr 2017 20:58:04 GMT

     [ https://issues.apache.org/jira/browse/EDGENT-409?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Dale LaBossiere resolved EDGENT-409.
------------------------------------
    Resolution: Fixed

resolved via https://github.com/apache/incubator-edgent/pull/306

> Add analytic aggregations for non-JsonObject types
> --------------------------------------------------
>
>                 Key: EDGENT-409
>                 URL: https://issues.apache.org/jira/browse/EDGENT-409
>             Project: Edgent
>          Issue Type: New Feature
>          Components: Analytics
>            Reporter: Dale LaBossiere
>            Assignee: Dale LaBossiere
>
> On more than one occasion I've found myself wishing for analytic aggregations like our
{{o.a.e.analytics.math3.stat.Statistic.MEAN}}, etc but either being unable to use {{JsonAnalytics}}
because it lacks batched aggregation support or simply wanting something less cumbersome to
use because I had a simple use case - e.g., wanting to compute a windowed MEAN for a TStream<Double>
yielding a stream of TStream<Double>.
> Life would be better if there were Collection-based (not TStream/TWindow based) aggregation
methods supporting the same set of Statistic and Regression aggregate ops that have been defined
for use on JsonObjects.  For example,
> {code}
> static double aggregate(Collection<? extends Number> c, UnivariateAggregate stat)
> {code}
> See the associated PR for the full API, etc.
> Unfortunately the existing {{o.a.e.analytics.math3.stat.Statistic}} and Regression enums
lack a "Json" name or package prefix though they are inherently tied to other unnecessarily
Json-specific interfaces/classes.  That results in the need to define tuple-type-agnostic
analogs like Statistics2 and Regression2 (for lack of something better) and the supporting
interfaces/classes.
> Not included with this JIRA/PR is the opportunity to then unify around using these new
tuple-type-agnostic Statistic2,Regression2 by augmenting JsonAnalytics to have methods that
take them as arguments.  Then json-specific Statistic, Regression and the JsonAnalytic methods
that use them can be marked deprecated.



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