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From "David Smiley (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SOLR-7005) facet.heatmap for spatial heatmap faceting on RPT
Date Sun, 25 Jan 2015 03:27:34 GMT

     [ https://issues.apache.org/jira/browse/SOLR-7005?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

David Smiley updated SOLR-7005:
-------------------------------
    Attachment: SOLR-7005_heatmap.patch
                SOLR-7005_heatmap.patch

This latest patch integrates with the FacetComponent to become a new type of faceting; it's
no longer a separate SearchComponent. And this implements distributed/sharding support.  The
params were added to FacetParams.

Like interval faceting, the code is kept out of FacetComponent & SimpleFacets but even
more so (even the distributed logic), with only one-liner hooks where needed, and only a touch
more than that in SimpleFacets.  The whole situation could be a lot more elegant with a major
refactor of how the faceting code overall is organized, but I have no time these days.

There are some nocommits:
* I need to randomized-test round-trip the PNG encoding.
* the {{ints}} format is particularly easy to consume and even eye-ball it to get a sense
of the data.  As-such I want to orient the numbers to go right-to-left then top-down.  And
maybe rename to "ints2d".  But it isn't particularly compact/efficient, and I already know
I want a separate format I'm tentatively calling "skipList" that would list the counts with
negative numbers signifying how many zeroes to insert; and then you have to know the column/row
order to read it, which would of course be documented.  This format would be compact and great
for sparse data or small heatmaps.  But then would we really need "ints2d"?  
* I'm confused about FacetComponent.distributedProcess() line ~215 (removal of faceting types
when distribFieldFacetRefinements != null).  [~hossman_lucene@fucit.org] Which faceting types
should be removed here; why is it just facet.field and facet.query; maybe the others should
too?
* the facet.heatmap.bbox param actually supports not just the rect-query syntax but WKT as
well; which can be convenient but I expect to be atypical. Should 'wkt' be a separate mutually
exclusive param?  Ugh; param fatigue.  Or could it be renamed to 'region' or 'shape' or 'geom'?
 This reminds me; it could be useful for the underlying Lucene heatmap facet counter to not
insist on a rectangular region; why not specify any poly and get counts just for those grid
squares.  That would make 'bbox' even less appropriate.

> facet.heatmap for spatial heatmap faceting on RPT
> -------------------------------------------------
>
>                 Key: SOLR-7005
>                 URL: https://issues.apache.org/jira/browse/SOLR-7005
>             Project: Solr
>          Issue Type: New Feature
>          Components: spatial
>            Reporter: David Smiley
>            Assignee: David Smiley
>             Fix For: 5.1
>
>         Attachments: SOLR-7005_heatmap.patch, SOLR-7005_heatmap.patch, SOLR-7005_heatmap.patch,
heatmap_512x256.png, heatmap_64x32.png
>
>
> This is a new feature that uses the new spatial Heatmap / 2D PrefixTree cell counter
in Lucene spatial LUCENE-6191.  This is a form of faceting, and as-such I think it should
live in the "facet" parameter namespace.  Here's what the parameters are:
> * facet=true
> * facet.heatmap=fieldname
> * facet.heatmap.bbox=\["-180 -90" TO "180 90"]
> * facet.heatmap.gridLevel=6
> * facet.heatmap.distErrPct=0.10
> Like other faceting features, the fieldName can have local-params to exclude filter queries
or specify an output key.
> The bbox is optional; you get the whole world or you can specify a box or actually any
shape that WKT supports (you get the bounding box of whatever you put).
> Ultimately, this feature needs to know the grid level, which together with the input
shape will yield a certain number of cells.  You can specify gridLevel exactly, or don't and
instead provide distErrPct which is computed like it is for the RPT field type as seen in
the schema.  0.10 yielded ~4k cells but it'll vary.  There's also a facet.heatmap.maxCells
safety net defaulting to 100k.  Exceed this and you get an error.
> The output is (JSON):
> {noformat}
> {gridLevel=6,columns=64,rows=64,minX=-180.0,maxX=180.0,minY=-90.0,maxY=90.0,counts=[[0,
0, 2, 1, ....],[1, 1, 3, 2, ...],...]}
> {noformat}
> counts is null if all would be 0.  Perhaps individual row arrays should likewise be null...
I welcome feedback.
> I'm toying with an output format option in which you can specify a base-64'ed grayscale
PNG.
> Obviously this should support sharded / distributed environments.



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