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https://issues.apache.org/jira/browse/SOLR-7005?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14321784#comment-14321784
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ASF subversion and git services commented on SOLR-7005:
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Commit 1659872 from [~dsmiley] in branch 'dev/trunk'
[ https://svn.apache.org/r1659872 ]
SOLR-7005: don't add facet.heatmap.format=png to shard requests unless heatmaps
are in use
Not a bug; just a small cleanup.
> 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, 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.geom=\["-180 -90" TO "180 90"]
> * facet.heatmap.gridLevel=6
> * facet.heatmap.distErrPct=0.15
> * facet.heatmap.format=ints2D | png
> (Officially see FacetParams where options are documented)
> Like other faceting features, the fieldName can have local-params to exclude
> filter queries or specify an output key. This could be quite useful in doing
> difference faceting on the same spatial data to identify relative change
> against a baseline.
> The {{geom}} is optional; you get the whole world or you can specify a box or
> WKT.
> 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_ints2D=[[0,
> 0, 2, 1, ....],[1, 1, 3, 2, ...],...]}
> {noformat}
> counts_ints2D is null if all would be 0. individual row arrays should
> likewise be null... I welcome feedback.
> If you set the output to 'png' then you get a 4-byte per pixel/cell PNG, or
> null if all counts are 0. The high byte (alpha channel) is inverted so that
> counts need to exceed 2^24 before the image will start to fade out if you try
> and view it.
> This supports sharded / distributed queries.
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