Index: Index according to data type to facilitate range facets and queries.

[eaquigley]

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Author Name: Kevin Condon (@kcondon)
Original Redmine Issue: 3785, https://redmine.hmdc.harvard.edu/issues/3785
Original Date: 2014-03-27
Original Assignee: Philip Durbin

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This ticket is a placeholder for indexing fields that contain something other than strings, eg. dates and floats, to support range queries for either facets or searches, depending on what is finally decided.

Example date: production date
Example float: Coverage Central Wavelength(m)

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Related issue(s): #70, #485
Redmine related issue(s): 3478, 3900

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[eaquigley]

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Original Redmine Comment
Author Name: Kevin Condon (@kcondon)
Original Date: 2014-03-27T18:00:09Z

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Note: there is already a ticket related to date range facets, #3478

[eaquigley]

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Original Redmine Comment
Author Name: Philip Durbin (@pdurbin)
Original Date: 2014-06-03T01:44:30Z

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Right now, we are indexing all fields as text_en per #485 (comment)

In practice, these are all astro fields right now (resolution.Spatial, coverage.RedshiftValue, etc.) and there's a doc called "Astro range queries" at https://docs.google.com/a/harvard.edu/document/d/19DB4heSUMTm2CNTJFjt9AUDfaaZUZvdoh1QGhedXWkk/edit?usp=sharing where I tried to spur some discussion of what the UI should look like. See also #3478 which was originally asking about the UI for dates.

[kcondon]

Closing as a duplicate and merging with #70.

[pdurbin]

Please see this new PR:

• feat: index numerical and date fields in Solr with appropriate types + more targeted search result highlighting #10887