Help:CirrusSearch

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The quickest way to find information in Wikimedia projects is to look it up directly. On every page there is asearchbox.

CirrusSearchis a MediaWiki extension that usesElasticsearchto provide enhanced search features over thedefault MediaWiki search. The Wikimedia Foundation uses CirrusSearch for allWikimedia projects. This page describes the features of CirrusSearch. If your question is not answered here, feel free to ask on thetalk pageand someone will answer it for you.

For information on the MediaWiki extension, seeExtension:CirrusSearch.

For its use on Wikidata, seeHelp:Extension:WikibaseCirrusSearch.

How it works

Enter keywords and phrases and press↵ EnterorReturnon your keyboard or click the magnifying glass icon, "Search", or "Go" button.

If a page has the same title as what you entered, you will be directed to that page. Otherwise, it searches all pages on the wiki, and presents a list of articles that matched your search terms, or a message informing you that no page has all the key words and phrases.

If you click the "Search" button without filling in anything, you will be taken toSpecial:Searchwhich gives you extra searching options (also available from any search results list)

You may find it useful to restrict a search to pages within a particularnamespace,e.g., only search within the User pages. Check the namespaces you require for this search.

All keywords mentioned below are case-sensitive and in lower case.

What's improved?

CirrusSearch features three main improvements over the default MediaWiki search, namely:

• Better support for searching in different languages.
• Faster updates to the search index, meaning changes to articles are reflected in search results much faster.
• Expanding templates, meaning that all content from a template is now reflected in search results.

How frequently is the search index updated?

There are two primary search indexes to consider:

The first is full-text search, on Special:Search. This index is updated in near real time. Changes to pages should appear within a few minutes in the search results, but 30 minutes is still considered normal operation. Changes to templates should take effect in articles that include the template in a few minutes, taking up to several hours depending on the number of pages using the template. Anull editto the article will force the change through, but that shouldn't be required if everything is going well.

The second index to consider is the fuzzy auto-complete title search. This index is updated once a day and mirrors what was found in the full-text search index at the time the index was updated. Depending on timing a new page could take two days to be found in the fuzzy title autocomplete. If this is unacceptable for a particular use case, withinuser search optionsthe title completion can be changed to classic prefix search which uses the full-text search index.

Search suggestions

The search suggestions you get when you type into the search box that drops down candidate pages is sorted by a rough measure of article quality. This takes into account the number of incoming wikilinks, the size of the page, the number of external links, the number of headings, and the number of redirects.

Search suggestions can be skipped and queries will go directly to the search results page. Add a tilde~before the query. Example "~Frida Kahlo". The search suggestions will still appear, but hitting the Enter key at any time will take you to the search results page.

Accent/diacritic folding is turned on for some languages; the details are language-specific.

The algorithm used to rank suggestions is described in more detail atExtension:CirrusSearch/CompletionSuggester#Ranking criteria.

Full text search

A "full text search" is an "indexed search". All pages are stored in the wiki database, and all the words in the non-redirect pages are stored in the search database, which is an index to practically the full text of the wiki. Each visible word is indexed to the list of pages where it is found, so a search for a word is as fast as looking up a single-record. Furthermore, for any changes in wording, the search index is updated within seconds.

There are many indexes of the "full text" of the wiki to facilitate the many types of searches needed. The full wikitext is indexed many times into many special-purpose indexes, each parsing the wikitext in whatever way optimizes their use. Example indexes include:

• "auxiliary" text, includes hatnotes, captions, ToC, and any wikitext classed by an HTML attributeclass=searchaux.
• "Lead-in" text is the wikitext between the top of the page and the first heading.
• The "category" text indexes the listings at the bottom.
• Templates are indexed. If the transcluded words of a template change, then all the pages that transclude it are updated. (This can take a long time depending on a job queue.) If the subtemplates used by a template change, the index is updated.
• Document contents that are stored in the File/Media namespace are now indexed. Thousands of formats are recognized.

There is support for dozens of languages, but all languages are wanted. There is a list of currently supported languages atelasticsearch.org;see theirdocumentation on contributingto submit requests or patches. Third-party open-source libraries are also used to support additional languages not covered by Elasticsearch.

CirrusSearch will optimize your query, and run it. The resulting titles are weighted by relevance, and heavily post-processed, 20 at a time, for the search results page. For example snippets are garnered from the article, and search terms are highlighted in bold text.

Search results will often be accompanied by various preliminary reports. These includeDid you mean(spelling correction), and, when no results would otherwise be found it will sayShowing results for(query correction) andsearch instead for(your query).

Search features also include:

• Sorting navigation suggestions by the number of incoming links.
• Starting with the tilde character~to disable navigation and suggestions in such a way that also preserves page ranking.
• Smart-matching characters by normalizing (or "folding" ) non-keyboard characters into keyboard characters.
• Words and phrases that match are highlighted in bold on the search results page. The highlighter is a cosmetic analyzer, while the search-indexing analyzer actually finds the page, and these may not be 100% in sync, especially for regex. The highlighter can match more or less accurately than the indexer.

Words, phrases, and modifiers

The basic search term is a word or a "phrase in quotes". Details vary by language, especially for languages without spaces, but search typically recognizes a "word" to be:

• a string of digits
• a string of letters
• subwords between letters/digit transitions, such as intxt2regex
• subwords inside a compoundName usingcamelCase

A "stop word" is a word that is ignored (because it is common, or for other reasons). The list of stop words is language-specific and not all languages support stop words.A given search term matches againstcontent(rendered on the page). To match against wikitext instead, use theinsourcesearch parameter (Seesectionbelow). Each search parameter has its own index, and interprets its given term in its own way.

Spacing between words, phrases, parameters, and input to parameters, can include generous instances of whitespace andgreyspace characters. "Greyspace characters" are all the non-alphanumeric characters~!@#$%^&()_+-={}|[]\: ";'<>?,./. A mixed string ofgreyspace charactersand whitespace characters, is "greyspace", and is treated as one big word boundary. Greyspace is how indexes are made and queries are interpreted.

Two exceptions are where 1) anembedded:colonis one word (it being treated as a letter), and 2) an embedded comma,such as in1,2,3,is treated as a number. Greyspace characters are otherwise ignored unless, due to query syntax, they can be interpreted as modifier characters.

The modifiers are~ * \? - "!.Depending on their placement in the syntax they can apply to a term, a parameter, or to an entire query. Word and phrase modifiers are the wildcard, proximity, and fuzzy searches. Each parameter can have their own modifiers, but in general:

• A fuzzy-word or fuzzy-phrase search can suffix a tilde~character (and a number telling the degree).
• A tilde~character prefixed to the first term of a query guarantees search results instead of any possible navigation.
• A wildcard character inside a word can be an (escaped) question mark \? for one character or an asterisk*character for zero or more characters.
• Truth-logic can interpretANDandOR,but parameters cannot. Note that theANDandORoperators currentlydo not function in the traditional truth-logic manner!For details see more onlogical operators.
• Truth-logic understands-or!prefixed to a term to invert the usual meaning of the term from "match" to "exclude".

Words that begin with-or!,such as-in-lawor!Kungcan exactly match titles and redirects, but will also match every document that doesnotcontain the negated word, which is usually almost all documents. To search for such terms other than as exact matches for titles or redirects, use theinsourcesearch parameter (Seesectionbelow).

• Quotes around words mark an "exact phrase" search. For parameters they are also needed to delimit multi-word input.
• Stemming is automatic but can be turned off using an "exact phrase".

The two wildcard characters are the star and the (escaped) question mark, and both can come in the middle or end of a word. The escaped question mark\?stands for one character and the star*stands for any number of characters. Because many users, instead of writing a query, will ask a question, any question mark is ignored unless purposefully escaped\?into its wildcard meaning.

A phrase search can be initiated by various hints to the search engine. Each method of hinting has a side-effect of how tolerant the matching of the word sequence will be. Forgreyspace,camelCase,ortxt2numberhints:

• givenwords-joined_by_greyspace(characters)orwordsJoinedByCamelCaseCharactersit findswords joined by...characters,in their bare forms or greyspace forms.
• txt2numberwill matchtxt 2 numberortxt-2.number.
• Stop words are enabled for the edge cases (in the periphery) of a grey_space or camelCase phrase. An example usingthe,of,andais thatthe_invisible_hand_of_amatchesinvisible handwithin the textmeetings invisible hand shake.

A "search instead" report is triggered when a universally unknown word is ignored in a phrase.

Each one of the following types of phrase-matching contains and widens the match-tolerances of the previous one:

• An "exact phrase" "in quotes" will tolerate (match with) greyspace. Given"exact_phrase"or"exact phrase"it matches"exact]phrase".
• A greyspace_phrase initiates stemming andstop wordchecks.
• GivenCamelCaseit willadditionallymatchcamelcase,in all lowercase, because CirrusSearch is not case sensitive in matching. Note thatCamelCasematching is not enabled for all languages.

Some parameters interpret greyspace phrases, but other parameters, likeinsourceonly interpret the usual "phrase in quotes".

In search terminology, support for "stemming" means that a search for "swim" will also include "swimming" and "swimmed", but may not include irregular forms like "swam".

Search phrase	parserfunction	parserFunction	parser function	parser-function	parser:function	parSer:funcTion
parserfunction			N	N	N	N
"parser function"	N	N			N	N
parser_function	N				N	N
parserFunction					N	N
"parser:function"	N	N	N	N
"parser_function"	N	N			N	N
"parSer_funcTion"	N	N			N	N
parSer_FuncTion	N	N

Note that all stemming is case insensitive.

Note how the "exact phrase" search interpreted theembedded:coloncharacter as a letter, but not theembedded_underscorecharacter. A similar event occurs with the comma,character inside a number.

Givenin:this:word,CirrusSearch, when in an "exact phrase" context, (which includes theinsourceparameter context), will not matchin,this,orword,but will then only matchin:this:word.

Otherwise, remember that for CirrusSearchwords are letters, numbers, or a combination of the two, and case does not matter.

The common word search employs the space character and is aggressive with stemming, and when the same words are joined by greyspace characters or camelCase they are aggressive with phrases and subwords.

When common words like "of" or "the" are included in a greyspace-phrase, they are ignored, so as to match more aggressively.

A greyspace_phrase search term, or a camelCase, or a txt2number term, match the signified words interchangeably. You can use any of those three forms. NowcamelcasematchescamelCasebecause Search is not case sensitive, butcamelCasematchescamelcasebecause camelCase is more aggressive. Like the rest of Search, subword "words" are not case-sensitive. By comparison the "exact phrase" is greyspace oriented and ignores numeric or letter-case transitions, and stemming. "Quoted phrases" are not case sensitive.

From the table we can surmise that the basic searchparser_function - "parser function"is the sum of the basic searchesparserFunctionandparser<stems> function<stems>.

Making inquiries with numbers, we would find that:

• Plan9orPlan_9matches any of:plan9,plans 9,planned 9th,(planned) 9.2,"plans" (9:24)
• "plan9"only matchesplan9(case insensitive)
• Plan*9matchesplan9orplanet4589.

The star*wildcard matches a string of letters and digits within a rendered word,but never the beginning character. One or more characters must precede the*character.

• When*matches numbers, a comma is considered part of one number, but the decimal point is considered a greyspace character, and will delimit two numbers.
• Inside an "exact phrase"*is treated as a greyspace character and not a wild card character, so it delimits words.

The\?wildcard represents one letter or number;*\?is also accepted, but\?*is not recognized.

The wildcards are for basic word, phrase, and insource searches, and may also be an alternative to (some) advanced regex searches (covered later).

Putting a tilde~character after a word or phrase activates a fuzzy search.

• For a phrase it is termed aproximitysearch, becauseproximalwords are tolerated to an approximate rather thanexact phrase.
• For example,"exact one two phrase" ~2matchesexact phrase.
• For a word it means extra characters orchangedcharacters.
• For a phrase a fuzzy searchrequiresa whole number telling it how many extra words to fit in, but for a word a fuzzy search can have a decimal fraction,defaultingtoword~0.5(word~.5), where at most two letters can be found swapped, changed, or added, but never the first two letters.
• For a proximity phrase, a large number can be used, but that is an "expensive" (slow) search.
• For a wordword~2is most fuzzy with an edit distance of 2 (default), andword~1is least fuzzy, andword~0is not fuzzy at all.

	flowers algernon	Flowers for Algernon	flowers are for Algernon	Flowers a1 2b 3c 4f 5j 6l 7j 8p q9 z10 for Algernon
"flowers algernon"		N	N	N
"flowers algernon" ~0		N	N	N
"flowers algernon" ~1			N	N
"flowers algernon" ~2				N
"flowers algernon" ~11
"algernon flowers" ~1	N	N	N	N
"algernon flowers" ~2		N	N	N
"algernon flowers" ~3			N	N
"algernon flowers" ~4				N
"algernon flowers" ~13

For the closeness value necessary to match in reverse (right to left) order, count and discard all the extra words, then add twice the total count of remaining words minus one. (In other words, add twice the number of segments). For the full proximity algorithm, seeElasticsearch slop.

Quotes turn off stemming,"but appending" ~the tilde reactivates the stemming.

	flowers	flower	Flowers for Algernon	flower for Algernon
flowers					Stemming is in effect.
"flowers"		N		N	Proximity search turns off stemming.
"flowers" ~					Proximity plus stemming by suffixing a tilde.
"flowers for algernon"	N	N		N	Proximity search turns off stemming.
"flowers for algernon" ~	N	N			Proximity plus stemming by suffixing a tilde.
"flowers algernon" ~1	N	N		N	Proximity search turns off stemming.
"flowers algernon" ~1~	N	N			Proximity plus stemming by suffixing a tilde.

Insource

≥1.24 Gerrit change 137733

Insource searches can be used to find any onewordrendered on a page, but it's made for finding any phrase you might find - includingMediaWiki markup(aka wikicode), on any page except redirects. This phrase completely ignores greyspace:insource: "state state autocollapse"matches|state={{{state|autocollapse}}}.

insource: word insource: "word1word2"	Greyspace characters are ignored, just as they are with word searches and exact-phrase searches.
insource:/regexp/ insource:/regexp/i	These areregular expressions.They aren't efficient, so only a few are allowed at a time on the search cluster, but they are very powerful. The regular expression matches case-sensitively by default; case-insensitivity can be opted in with the extrai,which is even less efficient.

Insource complements itself. On the one hand it has full text search for any word in the wikitext, instantly. On the other hand it can process a regexp search for any string of characters. Regexes scan all the textual characters in a given list of pages; they don't have a word index to speed things up, and the process is interrupted if it runs for more than twenty seconds. Regexes run last in a query, so to limit needless character-level scanning, every regex query should include other search terms to limit the number of documents that need to be scanned. Often the best candidate to add to the regex queryinsource:/arg/isinsource:arg,whereargis the same (and uses no wildcards).

The syntax for the regexp isinsource:no space, and then/regexp/.(No other parameter disallows a space. All the parameters exceptinsource:/regexp/accept space after their colon.)

Insource indexed-search and regexp-search roles are similar in many respects:

• Both search wikitext only.
• Neither finds things "sourced" by atransclusion.
• Neither does stemmed, fuzzy, or proximity searches.
• Both want the fewest results, and both work faster when accompanied by another clause.

But indexed searches all ignore greyspace; wildcards searches do not match greyspace, so regexes are the only way to find an exact string ofany and allcharacters, for example a sequence of two spaces. Regexes are an entirely different class of search tool that make matching a literal string easy (basic, beginner use), and make matching by metacharacter expressions possible (advanced use) on the wiki. See#Regular expression searchesbelow.

Theinsourceparameter treats words with embedded colons as one word. This affects search queries for templates, parser functions, URLs, wikilinks, HTML tags, and comments.

When possible, please avoid running a bare regexp search. See how this is always possible at#Regular expression searches,below.

To search for words that begin with-or!,such as-in-lawor!Kung,use a case-insensitiveinsourcequery together with a simple search on the "plain" version of the term (to avoid a bare regexp search). For example,"in-law" insource:/-in-law/ior"kung" insource:/!kung/i.

Prefix and namespace

Prepending a namespace term likefile:to a search query limits results to a specificnamespace,instead of searching the entire wiki. The default namespace is "Main".

Only one namespace name can be set from the search box query. It must be thefirstterm in the query, or, if used as part of aprefix:term, must appear as thelastterm in the query.

Two or more namespaces may be searched from theAdvancedpane of thesearch barfound on the top of every search results page,Special:Search. Your search domain, as a profile of namespaces, can be set here. The namespaces list will then present itself on the first page of future search results to indicate the search domain of the search results. To unset this, select the default namespace (shown in parentheses), select "Remember", and press Search.

Thesearch bargraphically sets and indicates a search domain. "Content pages" (mainspace), "Multimedia" (File), "Everything" (allplus File), "Translations", etc., are hyperlinks that can activate the query in that domain, and then indicate this by going inactive (dark). But the query will override the search bar. When a namespace or prefix is used in the query the search bar activations and indications may be misleading, so the search bar and the search box are mutually exclusive (not complementary) ways to set the search domain.

A namespace term overrides the search bar, and aprefix:term overrides a namespace.

To specify a namespace name, prefix it with a colon,e.g.,talk:. Useall:to search acrossallnamespaces, or:(a single colon) to search just the main article namespace.

Theall:term does not include the File: namespace, which includes media content held at Commons such as PDF, which are all indexed and searchable. When File is involved, a namespace modifierlocal:has an effect, otherwise it is ignored.

As with search parameters,local:andall:must be lowercase. Namespaces names, though, are case insensitive.

Namespace aliasesare accepted.

talk: "Wind clock"	Find pages in theTalknamespace whose title or text contains the phrase "wind clock".
file: "Wind clock"	Find pages inFilenamespace, whose title, text, or media content contains the phrase "wind clock".
file: local: "Wind clock"	Filter out results from Commons wiki.
local: "Wind clock"	Ignored. Searches mainspace. Local is ignored unless File is involved.

prefix:

Theprefix:parameter matches any number of first-characters of all pagenames in one namespace. When the first letters match a namespace name and colon, the search domain changes.

Given a namespace only,prefix:will match all its pagenames. Given one character only, it cannot be-(dash),'(quote), or"(double quote). The last character cannot be a colon.

For pagenames that match, their subpage titles match by definition.

Theprefix:parameter does not allow a space before a namespace, but allows whitespace before a pagename. This termalways goes at the end,so that pagename characters may contain quotation marks (").

prefix:cow	Find pages in mainspace whose title starts with the three lettersc o w.
domesticprefix:cow	Find pages in mainspace whose title starts with the three lettersc o w,and that contain the word "domestic".
domesticprefix:cow/	List any existing subpages ofCowbut only if they contain the word "domestic". This is a very common search and is frequently built using a special URL parameter calledprefix=.
domesticprefix:Talk:cow/	List any subpages ofTalk:cow,but only if they contain the word "domestic".
1967prefix:Pink Floyd/	List any subpages ofPink Floyd,but only if it also contains the word "1967".

TheTranslate extensioncreates a sort of "language namespace" of translated versions of a page. However, unlike namespace or prefix, which create the initial search domain, theinlanguageparameter is afilterof it. (See the next section.)

Exclude content from the search index

Content can be excluded from the search index by addingclass= "navigation-not-searchable".This will instruct CirrusSearch to ignore this content from the search index (seetask T162905for more context).

Additionally content can be marked as auxiliary information by addingclass= "searchaux". This will instruct CirrusSearch to move the content from the main text to an auxiliary field which has lower importance for search and snippet highlighting. This distinction is used for items such as image thumbnail descriptions, 'see also' sections, etc.

Filters

A filter will have multiple instances, or negated instances, or it can run as a standalone filtering a search domain. A query is formed as terms that filter a search domain.

Adding another word, phrase, or parameter filters more. A highly refined search result may have very many Y/N filters when every page in the results will be addressed. (In this case ranking is largely irrelevant.) Filtering applies critically to adding a regex term; you want as few pages as possible before adding a regex (because it can never have a prepared index for its search).

A namespace is a specified search domain but not a filter because a namespace will not run standalone. Aprefixwill negate so it is a filter. The search parameters below are filters for which there may be multiple instances.

Insource(covered above) is also a filter, butinsource:/regexp/is not a filter. Filters and all other search parameters are lowercase. (Namespaces are an exception, being case insensitive.)

Intitle and incategory

Word and phrase searches match in a title and match in the category box on bottom of the page. But with these parameters you can select titlesonlyor categoryonly.

• cow*
  • Find articles whose title or text contains words that start with cow
• intitle:foo
  • Find articles whose title contains foo. Stemming is enabled for foo.
• intitle: "fine line"
  • Find articles whose title containsfine line.Stemming is disabled.
• intitle:foo bar
  • Find articles whose title contains foo and whose title or text contains bar.
• -intitle:foo bar
  • Find articles whose title does not contain foo and whose title or text contains bar.
• incategory:Music
  • Find articles that are in Category:Music
• incategory: "music history"
  • Find articles that are in Category:Music_history
• incategory: "musicals" incategory: "1920"
  • Find articles that are in both Category:Musicals and Category:1920
• -incategory: "musicals" incategory: "1920"
  • Find articles that are not in Category:Musicals but are in Category:1920

Intitleandincategoryare old search parameters. Incategory no longer searches any subcategory automatically, but you can now add multiple category pagenames manually.

≥1.31 Gerrit change 413896

SinceMediaWiki 1.31-wmf.23Regular expression searches are supported for intitle:

intitle:/regex/, intitle:/regex/i

Everything written in the#Regular expression searchesis also valid for these searches, including warnings.

When possible, please avoid running a bare regexp search. See how this is always possible at#Regular expression searches,below.

Deepcategory

Deep category search allows to search in category and all subcategories. The depth of the tree is limited by 5 levels currently (configurable) and the number of categories is limited by 256 (configurable). The deep search usesSPARQL Category service from WDQS.Keywords aredeepcategoryordeepcat.Example:

• deepcat: "musicals"
  • Find articles that are in Category:Musicals or any of the subcategories.

The DeepCat gadget that previously implemented the parameter was sunsetted in January 2020.

Linksto

Linkstofinds wikilinks to a givenname,not links tocontent.The input is the canonical, case sensitive, pagename. It must match the title line of the content page, exactly, before any title modifications of the letter-case. (It must match its {{FULLPAGENAME}}, e.g. Help:CirrusSearch.)

Linkstodoes not find redirects. It only finds [[wikilinks]], even when they are made by a template. It does not find a link made by a URL, even if that URL is an internal wiki link.

To find all wikilinks to a "Help:Cirrus Search", if "Help:Searching" and "H:S" are redirects to it:

1. linksto: "Help:Cirrus Search"
2. linksto: Help:Searching
3. linksto: H:S

CirrusSearch -linksto: Help:CirrusSearchfinds articles that mention "CirrusSearch" but not in a wikilink.

Hastemplate

You can specify template usage withhastemplate:template.Input the canonical pagename to findall usageof the template, but use any of its redirect pagenames findsjust that naming.Namespace aliases are accepted, capitalization is entirely ignored, and redirects are found, all in one name-search. (Compareboost-templateno default namespace;linkstono namespace aliases, case-sensitive, no redirects;intitleno redirects.)

Hastemplatefinds secondary (or meta-template) usage on a page: it searches the post-expansion inclusion. This is the same philosophy as forwords and phrasesfrom a template, but here it's fortemplatesfrom a template. The page will be listed as having that content even though that content is not seen in the wikitext.

• hastemplate: "quality image",finds "Template:Quality image" usage in your default search domain (namespaces).
• hastemplate: portal:contents/tocnavbar,finds mainspace usage of a "Contents/TOCnavbar" template in the Portal namespace.

For installations with the Translate extension,hastemplatesearches get interference whereverTemplate:Translatable template namewraps the template name of a translatable template. Useinsourceinstead.

Inlanguage

For installations with the Translate extension,inlanguageis important for highly refined searches and page counts.

inlanguage:language code

will produce search results in that language only.

For example

• to count all Japanese pages on the wiki

all: inlanguage: ja

• to filter out German and Spanish pages in the Help namespace

help: -inlanguage: de -inlanguage: es

• to ignore Translate, and where English is the base language, add

inlanguage:en

Contentmodel

Thecontentmodel:keyword allows to limit the search to pages of a specific content model. For possible models cf.Content handlers.E.g.:

• To see only JSON pages:

contentmodel:json

subpageof

To find sub-pages.

subpageof:ParentPage

For example

• To find all subpages of CirrusSearch.

subpageof:CirrusSearch

• Use double quotes if the parent page contains spaces.

subpageof: "Requests for comment"

unlikeprefix:,do not include the page namespace in the keyword value. If you want to limit to sub-pages of a particular namespace use the namespace filter.

Articletopic

Thearticletopic:keyword allows filtering search results by topic. For possible topics seeHelp:CirrusSearch/articletopic. E.g.articletopic:bookswill filter the search results to articles about books. articletopic:books|filmswill filter to articles about books or films. articletopic:books articletopic:filmswill filter to articles which are about both books and films.

Only mainspace articles belong into topics, and topics are only available on Wikipedias. Unlike other filters, articletopic also does page weighting: articles which are a stronger match for a topic will be higher in the search results (while articles which aren't about that subject at all will be removed from the result set completely).

Topic models are derived via machine learning fromORES. Any given article receives a score on dozens of different topics, and therefore may appear under different keywords. For instance, the article on Albert Einstein may appear as a "physics" article and a "biography" article. All Wikipedias have scores available -- some have local-language topic models that have coverage on all articles. Other languages do not have local ORES models, and are using English-language scores assigned to articles in the local language that also exist in English Wikipedia. The languages with such "cross-wiki" scores do not have 100% coverage -- depending on the language, it may only be something like 60% of articles that have topics available.

Topic-related search data is updated weekly, so recently created articles might not show up in topic-based search queries.

Pageid

Thepageid:keyword restricts search results to the given set of page IDs. This is not really useful for manual searching; it can be used by software tools for checking whether a set of pages match the given set of search conditions (e.g. for re-validating cached search results).

Page weighting

Weighting determines snippet, suggestions, and page relevance. The normal weight is one. Additional weighting is given through multipliers.

If the query is just words, pages that match them in order are given a boost. If you add anyexplicitphrases to your search, or for certain other additions, this "prefer phrase" feature is not applied.

Morelike

• morelike:page name 1|page name 2|...|page name n
  • Find articles whose text is most similar to the text of the given articles.
• morelike:wasp|bee|ant
  • Find articles about stinging insects.
• morelike:template:search|template:regex|template:usage
  • Find templates about regex searching for template usage on the wiki.

morelikeis a "greedy" keyword, meaning that it cannot be combined with other search queries. If you want to use other search queries, usemorelikethisin your search:

• morelikethis:bee hastemplate: "featured article"
  • Find articles about bees that also have the "featured article" template.

Themorelike:query works by choosing a set of words in the input articles and run a query with the chosen words. You can tune the way it works by adding the following parameters to the search results URL:

• cirrusMltMinDocFreq:Minimum number of documents (per shard) that need a term for it to be considered.
• cirrusMltMaxDocFreq:Maximum number of documents (per shard) that have a term for it to be considered.
• cirrusMltMaxQueryTerms:Maximum number of terms to be considered.
• cirrusMltMinTermFreq:Minimum number of times the term appears in the input to doc to be considered. For small fields (title) this value should be 1.
• cirrusMltMinWordLength:Minimal length of a term to be considered. Defaults to 0.
• cirrusMltMaxWordLength:The maximum word length above which words will be ignored. Defaults to unbounded (0).
• cirrusMltFields(comma separated list of values): These are the fields to use. Allowed fields aretitle,text,auxiliary_text,opening_text,headingsandall.
• cirrusMltUseFields(true|false): use only the field data. Defaults tofalse:the system will extract the content of thetextfield to build the query.
• cirrusMltPercentTermsToMatch:The percentage of terms to match on. Defaults to 0.3 (30 percent).
• Example:

  &cirrusMtlUseFields=yes&cirrusMltFields=title&cirrusMltMinTermFreq=1&cirrusMltMinDocFreq=1&cirrusMltMinWordLength=2
  

These settings can be made persistent by overridingcirrussearch-morelikethis-settingsinSystem message.

Prefer-recent

Addingprefer-recent:anywhere in the query gives recently edited articles a slightly larger than normal boost in the page-ranking rules. Prefer-recent is only applied when using the defaultrelevancesort order.

It defaults to boost only 60% of the score, in a large, 160-day window of time, which can be entered in the query asprefer-recent:0.6,160.This plays well with other page ranking rules, and is intended for most searches.

You can manipulate the rules:prefer-recent:boost,recent Technically, "boost" is the proportion of score to scale, and "recent" is the half life in days. The boost is more than the usualmultiplier,it is anexponentialboost. The factor used in the exponent is the time since the last edit.

For example

prefer-recent:,7

Pages older than 7 days are boosted half as much, and pages older than 14 days are boosted half as much again, and so on. For a simple "sort by date" in highly refined search results, where page ranking and boosting are largely meaningless, just boost the entire score.

• prefer-recent:1,7- weeks
• prefer-recent:1,1- days
• prefer-recent:1,0.0007- minutes
• prefer-recent:1,0.0001- 8.64 seconds
• prefer-recent:1,0.00001- seconds

Boost-templates

You can boost pages' scores based on what templates they contain. This can be applied to all search queries by declaring boosts viaMediaWiki:Cirrussearch-boost-templates,or ad-hoc in individual queries via theboost-templates: ""operator. If theboost-templatesoperator is set in a query, then the contents ofcirrussearch-boost-templatesare ignored. Similar to the prefer-recent feature, boost-templates is applied as part of the defaultrelevancesort order.It has no effect on other search orders.

The syntax of the message is as follows:

• Everything from a#character to the end of the line is considered a comment, and ignored.
• Every non-blank line is interpreted as the exact name of a template that should receive boosting (including namespace prefix), followed by a pipe "|" character, followed by a number, followed by a "%" character.

Good examples:

Template:Important|150%
Template:Very_Very_Important|300%
Template:Less_important|50%

Bad examples:

Template:Foo|150.234234% # decimal points are not allowed.
Foo|150% # technically valid, but acts on transclusions of Foo (main space article) instead of Template:Foo.

Some examples:

boost-templates: "Template:Quality_Image|200%" incategory:china

Find files in the China category, sorting quality images first.

boost-templates: "Template:Quality_Image|200% Template:Low_Quality|50%" incategory:china

Find files in the China category, sorting quality images first and low-quality images last.

boost-templates: "Template:Quality_Image|200% Template:Low_Quality|50%" popcorn

Find files about popcorn, sorting quality images first and low-quality images last. Remember that through the use of thecirrussearch-boost-templatesmessage this can be reduced to justpopcorn.

Decimal points are not permitted in percentage values. Search scoring is such that fractions of a percent are unlikely to make a difference.

Beware that if you add very low or very high percentages viacirrussearch-boost-templates,they can poison the full-text scoring. For example, if Wikipedia were to boost the "Featured article" template by 1 million percent, then, searches for any term mentioned in featured articles, would rank the featured article above even the dedicated article about that term.

Phrase matching would be similarly blown away, so a search likebrave new worldwould return a featured article as first result even if it merely has those three words mentioned throughout it, instead of the more relevant article aboutBrave New Worlditself.

Regular expression searches

Warning:

Do not run a bareinsource:/regexp/search. It will probably timeout after 20 seconds anyway, while blocking the queries of responsible users.

A basic indexed search findswordsrendered visible on a page. Hyphenation and punctuation marks and bracketing, slash and other math and computing symbols, are merely boundaries for thewords.It is not possible to include them in an indexed search. Mostly that search behavior is wanted by the user. However, sometimes one wants to have the ability for a more precise search.

To get around the syntactic deficiency of index-based searches regexp searches can be used. But as queries with only regexp expressions are very slow and resource consuming, they should always be combined with an index-based search, such that the regexp search-domain gets limited to the results of one or more index-based search.

An "exact string" regexp search is a basic search; it will simply "quote" the entire regexp, or "backslash-escape" all non-alphanumeric characters in the string. All regexp searches also require that the user develops a simple filter to generate the search domain for the regex engine to search (index based search domain marked bold, regexp part marked in italics):

• insource: "debian.reproducible.net"insource:/debian\.reproducible\.net/
• insource: "c:\program files (x86)"insource:/C\:\\Program Files \(x86\)/i
• insource: "<tag>{{template}}</tag>"insource:/ "<tag>{{template}}<" \/ "tag>" /
• insource: "[[title|link label]]'s"insource:/ "[[title|link label]]'s" /
• insource:/regexp/prefix:{{FULLPAGENAME}}

The last example works from a link on a page, but {{FULLPAGENAME}} doesn't function in the search box.

For example:[[Special:Search/insource:/regex/ prefix:{{FULLPAGENAME}}]]finds the termregexon this page.

A query with no namespace specified and no prefix specified searches your default search domain, (settable on any search-results page, i.e. atSpecial:Search). Some users keep their default search domain at "all namespaces", i.e. the entire wiki. On a large wiki if this user does a bare regexp search it will probably fail, incurring a timeout, before completing the search.

A regex search actually scours each page in the search domain character-by character. By contrast, an indexed search actually queries a few records from a database separately maintained from the wiki database, and provides nearly instant results. So when using aninsource://(a regexp of any kind), consider adding other search terms that will limit the regex search domain as much as possible. There are many search terms that use an index and so instantly provide a more refined search domain for the /regexp/. In order of general effectiveness:

• insource: ""with quotation marks, duplicating the regexp exceptwithout the slashesor escape characters, is ideal.
• intitle(without regex search),incategory,andlinkstoare excellent filters.
• hastemplate:is a very good filter.
• "word1 word2 word3",with or without the quotation marks, are good.
• namespace:is practically useless, but may enable a slow regexp search to complete.

To test a bare regexp query you can create a page with test patterns, and then use theprefixparameter with that fullpagename. The match will be highlighted. It searches that page (in the database) and its subpages.

Search terms that do not increase the efficiency of a regexp search are the page-scoring operators:morelike,boost-template,andprefer-recent.

Metacharacters

This section covers how to escape metacharacters used in regexp searches. For the actual meaning of the metacharacters see theexplanation of the syntax.

The use of an exact string requires a regexp, but the regexp term obligates the search to limit itself.Adda regexp term, never search a bare regexp.Startby noting the number of pages in a previous search before committing an exact string search. Querying with an exact string requires a filtered search domain.

For example:

• to search a namespace, gauge the number of pages with a single term that is a namespace. This will list the number of pages in that namespace.
• starting out to find again what you may have seen, like "wiki-link" or "(trans[in]clusion)" start with namespace and insource filters.

There are some notable differences from standard regex metacharacters:

• The\nor\r\nare not reserved for matching a newline. To search for a string that contains a newline, you can do a search likeinsource:/[^\}]\}\}[^\} \|]{2}\<noinclude/iwhich means not a curly brace, then two curly braces, then any two characters except a curly brace, space, or pipe, then a‎<noinclude>tag. The "any character except" will include a newline in the search. Note thas this search was designed only to match to the following string:

}}

<noinclude>

• The dot.metacharacter stands for any character including a newline, so.*matches across lines.
• The number#sign means something, and must be escaped.
• The^and$are not implemented. Like "grep" (global per line, regular expression, print each line), each insource:// is a "global per document, regular expression, search-results-list each document" per document.
• <and>support a multi-digit numeric range like[0-9]does, but without regard to the number of character positions, or the range in each position, so<9-10>works, and even<1-111>works.

Substitutions for some metacharacters

While character classes\n,\s,\Sare not supported, in case of an acute need to use them in a regular expression, you may use these workarounds:

PCRE	CirrusSearch	Description
\n	[^ -􏿿]	A newline (also atabulation charactercan be found)
[^\n]	[ -􏿿]	Any characterexcepta newline and tabulation
\s	[^!-􏿿]	A whitespace character: space, newline, or tabulation
\S	[!-􏿿]	Any characterexceptwhitespace

In these ranges, "" (space) is the character immediately following thecontrol characters,"!"is the character immediately following space, and "􏿿" is U+10FFFF, the last character inUnicode. Thus, the range from "" to "􏿿" includes all characters except for control characters (of which articles may contain newlines and tabulation), while the range from "!" to "􏿿" includes all characters except for control characters and space.

Refining with an exact string

• refining an ongoing search process with what you want to see, like "2 + 2 = 4", or "site.org "This is ideally the best use of regex, because it adds it as a single regexp term while refining a search, the limited number of pages the regexp must crawl is can be seen.

You can start out intending an exact string search, but keep in mind:

• regex only search the wikitext not the rendered text, so there are some differences around the markup, and even the number of space characters must match precisely.
• You are obligated to supply an accompanying filter.
• You must learn how to escape regex metacharacters.

There are two ways to escape metacharacters. They are both useful at times, and sometimes concatenated side-by-side in the escaping of a string.

• Backslash-escape one of them \char.The insource:/regexp/ uses slashes to delimit the regexp. Giving /reg/exp/ is ambiguous, so you must write /reg\/exp/.
• Put a string of them in double quotes "string".Becauseescaping a character can't hurt,you can escape any character along with any possible metacharacters in there. Escaping with quotes is cleaner.
• You can't mix methods, but you can concatenate them.

Double-quotes escapingusing insource:/ "regexp"/ is an easy way to search for many kinds of strings, but you can't backslash-escape anything inside a double-quoted escape.

• / "[[page/name|{{temp-late" /instead of/\[\[page\/name\|\{\{temp\-late/
• / "literal back\slash" /is as good as/literal back\\slash/
• But/ "This \" fails "/always.
• And/ "This \/ depends" /.It finds the\/literally, which is not the/you probably wanted.

Backslash-escapeusing insource:/regexp/ allows escaping the "and / delimiters, but requires taking into account metacharacters, and escaping any:

• To match a/delimiter character use\/.
• To match a"delimiter character use\ ".
• The escaped metacharacters would be\~\@\#\&\*\(\)\-\+\{\}\[\]\|\<\>\?\.\\.
• The equivalent expression escaped with double-quotes is"~@#&*()-+{}[]|\<>?.\".

The simplest algorithm to create the basic string-finding expression using insource:/ "regexp"/, need not take metacharacters into account except for the" and / characters:

1. Writethe/str "ingout. (The / "delimiters" / are not shown.)
2. Replace"with"\" "(previous double-quote: stop, concatenate, quote restart).
3. Replace/with"\/"(stop, concatenate, start).
4. You getinsource:/ "the" \/ "str" \ "" ing "/,showing concatenation of the two methods.

While refining a regexp on a search results page, keep in mind that the snippet "wikitext" has modified spacing. Regex are sensitive to space characters, so copying from snippets is dangerous.

The square-bracket notation for creating your own character-classalsoescapesitsmetacharacters. To target a literal right square bracket in your character-class pattern, it must be backslash escaped, otherwise it can be interpreted as the closing delimiter of the character-class pattern definition. The first position of a character class will also escape the right square bracket. Inside the delimiting square brackets of a characterclass,the dash character also has special meaning (range) but it too can be included literally in the class the same way as the right square bracket can. For example both of these patterns target a character that is either a dash or a right square bracket or a dot:[-.\]]or[].\-].

For general examples using metacharacters:

• insource: "2+2=4" insource:/ "2+2=4" /matches "2 + 2 = 4", with zero spaces between the characters.
• insource: "2 + 2 = 4" insource:/2?\+?2?=?4\./match with zero or one space in between. The equals = sign is not a metacharacter, but the plus + sign is.
• insource: "<tag>[[link|2\3?]]\</tag> "insource:/" <tag>[[link|2\3?]]<"\/"tag> "/

Regex on titles

Theinsourcekeyword does only search the page source content. To run regex searches on the title stringsintitle:/regex/can be used.

Advanced example

For example, using metacharacters to find the usage of a template calledValhaving, inside the template call, an unnamed parameter containing a possibly signed, three to four digit number, possibly surrounded by space characters,andon the same page, inside a template Val call, a named argumentfmt=commashaving any allowable spaces around it, (it could be the same template call, or a separate one):

hastemplate:val insource: "fmt commas" insource:/\{\{ *[Vv]al *\|[^}]*fmt *= *commas/ insource:/\{\{ *[Vv]al *\|[^}]*[-+]?[0-9]{3,4} *[|}]/

Note that the = sign in "fmt commas" is not needed but that adding it would not change the search results. It is fast because it uses two filters so that every page the regexp crawls has the highest possible potential.

Geo Search

Searching based on the (primary) coordinates associated with pages. Depends onExtension:GeoDataand{{#coordinates:}}

bounded

You can limit search to pages identified as being near some specified geographic coordinates. The coordinates can either be specified as a <lat>,<lon> pair, or by providing a page title from which to source the coordinates. A distance to limit the search to can be prepended if desired. Examples:

• neartitle: "San Francisco"
• neartitle: "100km,San Francisco"
• nearcoord:37.77666667,-122.39
• nearcoord:42km,37.77666667,-122.39

boosted

You can alternatively increase the score of pages within a specified geographic area. The syntax is the same as bounded search, but with boost- prepended to the keyword. This effectively doubles the score for pages within the search range, giving a better chance for nearby search results to be near the top.

• boost-neartitle: "San Francisco"
• boost-neartitle: "100km,San Francisco"
• boost-nearcoord:37.77666667,-122.39
• boost-nearcoord:42km,37.77666667,-122.39

File properties search

≥1.28 Gerrit change 311061

Since MediaWiki 1.28, CirrusSearch supports indexing and searching of properties of files in theFile:namespace. This includes:

• file media type
• MIME type
• size
• width & height
• resolution
• bit depth for files that support these

While these predicates are useful only for files, they by themselves do not limit search to theFile:namespace. It is recommended to include this namespace in a search or restrict the search to only this namespace when using these conditionals.

filetype

Searching for file type allows to retrieve files according to their classification, such as office documents, videos, raster images, vector images, etc. The following types currently exist:

• UNKNOWN
• BITMAP
• DRAWING
• AUDIO
• VIDEO
• MULTIMEDIA
• OFFICE
• TEXT
• EXECUTABLE
• ARCHIVE

This list may be extended in the future. See alsoMEDIATYPE_*constants inDefines.php.

The syntax of the search is:filetype:{type}.Example:

filetype:video- looks for all videos

The filetype search is not case-sensitive.

filemime

Matches file MIME type. The syntax is:

filemime:{MIMEtype}- look for files of this MIME type

The argument can be quoted to specify exact match. Without quotes, partial matches to components of MIME type will be accepted too.

Examples:

• filemime: "image/png"- look for files with MIME type exactlyimage/png
• filemime:pdf- look for all PDF documents
• -filemime:pdf- skip all PDF documents (notably on Commons)

The MIME type search is not case-sensitive.

filesize

Search for file of given size, in kilobytes (kilobyte means 1024 bytes). The syntax is:

• filesize:{number}orfilesize:>{number}- file with size at least given number
• filesize:<{number}- file with size no more than given number
• filesize:{number},{number}- file with size between given numbers

Examples:

• filesize:>20orfilesize:20- files 20KB and bigger
• filesize:<1024- files smaller than 1MB
• filesize:100,500- files with sizes between 100KB and 500KB

File measures

It is possible to search for specific file measures: width, height, resolution (which is defined as square root of height × width), and bit depth. Not all files may have these properties. The syntax is:

• {measure}:{number}- file with measure that equals to given number
• {measure}:>{number}- file with measure that is at least given number
• {measure}:<{number}- file with measure that is no more than given number
• {measure}:{number},{number}- file with measure that is between given numbers

Wheremeasurecan be:

fileworfilewidth- file width

filehorfileheight- file height

fileres- file resolution (see above)

filebits- file bit depth

Examples:

filew:>800 fileh:>600- files that are at least 800×600 pixels in size

filebits:16- files with 16-bit color depth

fileheight:100,500- file between 100 and 500 pixels high

Wikibase search

TheWikibaseextension defines some search keywords in order to make it easier to search for certain Wikibase items. This is useful onWikidataand other Wikibase sites, including to search for images withStructured dataonWikimedia Commons. SeeHelp:WikibaseCirrusSearchfor details.

Cross-wiki search results

There are two kinds of cross-wiki results that may be shown when searching on Wikipedia.

Cross-project search (also known as interwiki search, sister search, or sister projects search) shows additional results from other projects (Wiktionary, Wikisource, Wikiquote, etc.) shown to the side on the Wikipedia results page. Cross-project search is available on most Wikipedias with sister projects.

Cross-language search (seeblog post) refers to additional results shown below the main results that are from a Wikipedia in a different language. Cross-language search uses a heavily modified and optimized version of a light-weight language detector calledTextCat. Cross-language search is currently only available on a few Wikipedias (see TextCat link for details).

Explicit sort orders

In addition to the default relevance based sort, CirrusSearch can provide results using a few other explicit sort orders. Specifying a sorting order other thanrelevancewill disable all search keywords that affect scoring, such asprefer-recentorboost-templates. The keywords will still be parsed, but they will have no effect.

Sorting options are currently available from the MediaWiki API by providing thesrsortparameter.

Guidance:

Sorting options can be manually added to a search URL by adding&sort=order,for example:

• https://www.mediawiki.org/w/index.php?search=foo&sort=last_edit_desc

Valid sort orders include:

URL supplement	Description
&sort=incoming_links_asc	Lowest to highest number of incoming links. This is approximately from least to most popular.
&sort=incoming_links_desc	Highest to lowest number of incoming links. This is approximately from most to least popular.
&sort=last_edit_asc	From least recently to most recently edited
&sort=last_edit_desc	From most to least recently edited
&sort=create_timestamp_asc	From least to most recently created
&sort=create_timestamp_desc	From most to least recently created
&sort=just_match	A simple relevance sort based only on text matching
&sort=relevance	A relevance sort taking into account many features of the document
&sort=random	Randomized
&sort=none	Unsorted, arbitrarily ordered lists. Preferred for large result sets.

Interface for advanced options

Advanced Search Interface

TheAdvancedSearchextension adds an improved interface to the search page allowing the use of several options described above in a user-friendly manner. Seehere for the user manual.

See also

• Extension:CirrusSearch
• Completion Suggester- the incremental search feature of CirrusSearch
• Wikimedia Search Platform/Search/Glossary— definitions, context, and links for terms related to search.
• SeeHelp:Searchingfor MWSearch, used by the many wikis that don't have a search extension.

External links

• From Lucene,highly relevant documentation.
• Full specifications in the extension's browser testsAs of 2017
• Extension:CirrusSearch/Profiles– sets of tunable parameters that influence various aspect of the indexing
• Wikimedia blog articles related to search
• WMF Global Search