I have set up a Solr index for user profiles on my site with the Search API Solr Search. The profiles are pretty complicated-- several relations, lots of fields, and many theme templates to render them with complex logic.

I am trying to speed up the performance of my search views, and I found this option under Data alterations on the Solr index:

Complete entity view

Adds an additional field containing the whole HTML content of the entity when viewed.

I thought I could use this as a cache by saving the rendered HTML to Solr for the user profiles, and then, in my view, I could just display this one item, the complete entity view, instead of having to configure all my fields and views formatting templates.

So, I did the following:

  1. At /admin/config/search/search_api/index/MYSEARCH/fields, I selected the field for indexing (complete entity view) as fulltext.
  2. At /admin/config/search/search_api/server/MYINDEX/edit, I turned on "Retrieve result data from Solr" as noted in this D.O post.

When I do this, I can now select the "Complete entity view" under Fields in the Views UI, but no result (no HTML output) is returned in the display. How can I add the output of the "Complete entity view" in Views?

2 Answers 2


This should be possible. I did the same thing with Search API + Elastic search (No Views module though). And yes it did speed up the results. However, in retrospect I may have been better of using Render Cache module in conjunction with an object cache like Redis and or Memcache.

The main pain point that I ran into doing full storage of HTML in the search server was that nearly every theming/template change required rebuilding the search index.

All that being said, if you want to keep going down this route I suggest using Solr's built in inspection tools to first validate that the user profile HTML has made it into Solr at all.

  • In my case, there are basically no theme changes, so it's fine if I have to rebuild the index every time. Apr 2, 2016 at 5:46

I had to clear the Drupal cache several times, but after doing so, I was able to index items as described in my original question.

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