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https://issues.apache.org/jira/browse/SOLR-13047?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joel Bernstein updated SOLR-13047:
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Description:
The current facet expression is a generic tool for creating multi-dimension
aggregations. The *facet2D* Streaming Expression has semantics specific for 2
dimensional facets which are designed to be *pivoted* into a matrix and
operated on by *Math Expressions*.
facet2D will use the json facet API under the covers.
Proposed syntax:
{code:java}
facet2D(medrecords, q=*:*, x=diseases, y=symptoms, dimensions="300, 10",
count(*)){code}
The example above will return tuples containing the top 300 diseases and the
top ten symptoms for each disease.
Using math expression the tuples can be pivoted into a matrix and the rows of
the matrix can be clustered.
{code:java}
let(a=facet2D(medrecords, q=*:*, x=diseases, y=symptoms, dimensions="300, 10",
count(*)),
b=pivot(a, diseases, symptoms, count(*)),
c=kmeans(b, 10)){code}
was:
The current facet expression is a generic tool for creating multi-dimension
aggregations. The *facet2D* Streaming Expression has semantics specific for 2
dimensional facets which are designed to be pivoted into a matrix and operated
on by Math Expressions.
facet2D will use the json facet API under the covers.
Proposed syntax:
{code:java}
facet2D(medrecords, q=*:*, x=diseases, y=symptoms, dimensions="300, 10",
count(*)){code}
The example above will return tuples containing the top 300 diseases and the
top ten symptoms for each disease.
Using math expression the tuples can be pivoted into a matrix and the rows of
the matrix can be clustered.
{code:java}
let(a=facet2D(medrecords, q=*:*, x=diseases, y=symptoms, dimensions="300, 10",
count(*)),
b=pivot(a, diseases, symptoms, count(*)),
c=kmeans(b, 10)){code}
> Add facet2D Streaming Expression
> --------------------------------
>
> Key: SOLR-13047
> URL: https://issues.apache.org/jira/browse/SOLR-13047
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Major
>
> The current facet expression is a generic tool for creating multi-dimension
> aggregations. The *facet2D* Streaming Expression has semantics specific for 2
> dimensional facets which are designed to be *pivoted* into a matrix and
> operated on by *Math Expressions*.
> facet2D will use the json facet API under the covers.
> Proposed syntax:
> {code:java}
> facet2D(medrecords, q=*:*, x=diseases, y=symptoms, dimensions="300, 10",
> count(*)){code}
> The example above will return tuples containing the top 300 diseases and the
> top ten symptoms for each disease.
> Using math expression the tuples can be pivoted into a matrix and the rows of
> the matrix can be clustered.
> {code:java}
> let(a=facet2D(medrecords, q=*:*, x=diseases, y=symptoms, dimensions="300,
> 10", count(*)),
> b=pivot(a, diseases, symptoms, count(*)),
> c=kmeans(b, 10)){code}
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