MediaWiki

Search/Old

< Search

This page describes the Wikimedia Foundation's activities surrounding our sites' search functionality. Our current project is to replace our legacy lsearchd system with a new system based on Elasticsearch (using a new extension called CirrusSearch). This project started in June 2013, with the migration slated to last until 2014.

Search
Search infrastructure maintenance and overhaul
Group: Platform
Start: 2013-06
End: 2014-12
Team members: Chad Horohoe, Nik Everett
See Help:Searching for a basic user guide, Help:CirrusSearch for an FAQ and a list of key features of the software component.

The BetaFeature for this project is called New Search and enabling it will change how your searches are executed but shouldn't substantially change the search experience. The ordering will change - hopefully always for the better. You should file bugs against the CirrusSearch project in Phabricator if it feels like the ordering is worse or if any of your search related tasks no longer work or degrade.

Rationale

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The Wikimedia search infrastructure hasn't had significant development work for many years. The current system is based on homegrown layer (named "lsearchd") on top of Lucene. The problem lsearchd solves has since been tackled by much larger projects such as Solr and Elasticsearch. The lsearchd system frequently breaks in ways that are difficult to diagnose[clarification needed], and generally makes our Operations staff sad.

Goals for our current effort:

  • Make our existing tools more robust
  • Improve logging in our existing tools to make problems easier to diagnose
  • Migrate away from lsearchd to Solr or something similar

Our current search infrastructure is highly outdated and difficult to manage due to tons of custom code. We are now replacing lsearchd with Elasticsearch (which is also a layer on Lucene), as it's very stable, contains many of the features we need, and doesn't require nearly as much custom code to support. What custom code we write will be incorporated in a MediaWiki extension called CirrusSearch.

Timeline

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This page is a timeline for future deployments of Cirrus as primary backends to wikis. Our general goal is to deploy CirrusSearch (backed by Elasticsearch) as the primary search backend for all wikis by the end of 2013(ha!) September 2014.

Wikis

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This table is of the current plan. We imagine the current plan to change frequently. Historically we've been pretty bad at keeping this up to date when the plan slips but we'll try to be better in the future.


Wiki Primary Date
About 30 (mostly) wikipedias June 30
About 30 more (mostly) wikipedias July 1
Commons Sept 2
plwiki Sept 4
svwiki Sept 8
eswiki Sept 9
nlwiki Sept 10
jawiki Sept 15
ruwiki Sept 17
frwiki Nov 5
zhwiki Nov 10
dewiki Nov 12
enwiki Nov 19

That's everything.

Solr vs Elasticsearch

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We spent some time looking at search systems we could use and it became pretty apparent that the thought leaders in the open source world for search are Solr and Elasticsearch. We spent a few weeks with each and decided to build on Elasticsearch because of its wonderful suggester, easily composable queries and good documentation. We are also happy with the process of submitting changes upstream to Elasticsearch.

Elasticsearch implementation plan

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CirrusSearch remains under active deployment and we've deployed it to all Wikimedia wikis.

For other WMF applications

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GeoData

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We've just started looking at how to move GeoData to Elasticsearch. For now, it'll remain in Solr with plans to migrate it to Elasticsearch when time permits. Some considerations:

The index is relatively small (so no need to make it distributed), but requires a lot of computational power to work with. Full-text search is not currently used. Currently, data from all the wikis is stored in the same core, in the future we will need to split data to many cores (the puppet changes for using multiple cores with shared configuration/schema are here, needs more work).

  • Load expectations: unclear, but will be high if we start using it heavily e.g. for maps display.
  • Backups: not really needed - if master is down just switch to a slave. If all servers are down, reindexing from scratch is quick.
  • Note: because GeoData's schema is very stripped-down, /admin/ping doesn't work - should be remembered if someone wants to rewrite the current monitoring.

Translation Memory

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  • Niklas wants to work with Chad & Nik to figure out what is needed
  • "This spring/summer"

Search Weighting Ideas

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Some things that could be factored into search results, in rough proposed grouping order:

(+) positive impact on default ranking (-) negative impact on default ranking

Relationship

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  • In-article searches (when I'm reading an article, I want to search within it) (+)
  • GeoLoc of user when searching (+)
  • Articles nearness (geographically) to current article (+)
  • Articles linked from current page (+)
  • Wikidata related items (+)
  • Categories on articles (+)

Relevance

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  • Article "meshiness" (number of articles that link to article, number of articles that article links to) (+)
  • External search referrer terms saved into article metadata (not a thing yet) (+)
  • Article importance (per wikiprojects) (+) (-)
  • Recency of last edit (+) (-)
  • Article recency (creation) (+)
  • Matches in title, headings, body text, alternate text, references (weighted differently) (+) (-)
  • Other wiki search results
    • Is this a weighting thing, or a content type thing (e.g. if it has related results on other wikis it's ranked higher)?

Quality

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  • Quality of an article (i.e. featured) (+)
  • Article quality (per wikiprojects) (+) (-)
  • Content with article issue templates (-)
  • Calls to action (number of article issues, missing images, etc.) (-)
  • Stub status (-)

Aggregate User behavior

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  • Top searches in the last hour/day/week (+)
  • Search terms that were followed vs unfollowed (+) (-)
  • Recent pages arrived at via external search (+)

Items in search results

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Existing

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  • Articles / Talk
  • User / Talk
  • File / Talk
  • Category / Talk
  • Lists / Talk
  • Portal / Talk
  • Help / Talk
  • Template / Talk
  • Module / Talk
  • Wikipedia / Talk
  • Education Program / Talk
  • TimedText (captions/subtitles) / Talk
  • MediaWiki / Talk
  • Book / Talk

New/Modified

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  • Places
  • Media
    • Images
      • Raster/bitmap
      • Vector
    • Video
    • PDFs
    • Audio
    • Other media types(?)
  • Wikiprojects
  • Article text
  • Article sections
  • Preference sections
  • Preferences
  • Tea house
  • Reference desk
  • Village Pump
Sister Project Results
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  • Wiktionary results
  • Wikivoyage results (desktop only)
  • Wikidata items
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Flow

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  • Topic titles
  • Board titles (user names/preferred names)
  • Full text search
  • Board Descriptions
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  • Users participating in the current topic
  • Users mentioned in the current topic
  • Users participating on current board
  • Users mentioned in current board
  • Users mentioned my me in the last X days
  • Users whom I follow (Gasp! This doesn't exist yet!)

Category/Tags

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  • Recently applied tags
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  • Recently Used
  • Most common templates inserted from current context
  • Most common template inserted after last inserted

General Search Behaviors

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  • When zero results are found for exact match but "did you mean" is shown, show special header with did you mean note and create article note, but show did you mean results instead.
  • In full text search show exact text page title matches in alternate visual appearance
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CirrusSearch restored the interwiki search, i.e. boxes on the side of the search results page where matching pages from sister projects are shown: so you can search a word on Wikipedia and get the link to an entry in Wiktionary. See an example search on it.wikipedia.

The feature originally existed for all wikis around 2009 but was later disabled; as of now there isn't a timeline for re-enabling it by default. You can however request it for your wiki with the usual process.

Research

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  • Show floating right side microsurvey widget to rate search results
  • Allow users to up and down vote results as relevant to inform weighting hypothesis
  • Analyze search/followed link pair
    • Run microsurvey "is this what you were looking for" on results page?
    • Can we determine if it was what they were looking for without asking?
      • amount of page viewed
      • back to results rather than following link on page or bounce


Documents

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  • Phabricator
  • Testing URLs: &srbackend=CirrusSearch, &srbackend=LuceneSearch
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