Help:CirrusSearch/ca

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

CirrusSearch is a MediaWiki extension that uses Elasticsearch to provide enhanced search features over the default MediaWiki search. The Wikimedia Foundation uses CirrusSearch for all Wikimedia projects. This page describes the features of CirrusSearch. If your question is not answered here, feel free to ask on the talk page and someone will answer it for you.

For information on the MediaWiki extension, see.

For its use on Wikidata, see.

How it works
Enter keywords and phrases and press Enter or Return on 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 "" button without filling in anything, you will be taken to "Special:Search" which 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 particular namespace, e.g., only search within the     pages. Check the namespaces you require for this search.



Què ha millorat?
CirrusSearch presenta tres millores principals respecte a la cerca predeterminada de MediaWiki, a saber:


 * Millor suport per a cercar en diferents idiomes.
 * Actualitzacions més ràpides a l'índex de cerca, els canvis en els articles es reflecteixen als resultats de les cerques molt més ràpid.
 * Incloent les plantilles, els resultats de les cerques inclouen tot el contingut de les plantilles incloses als articles.

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. Els canvis a les pàgines haurien d'aparèixer en pocs minuts als resultats de la cerca, però 30 minuts encara es consideren un retard normal. Els canvis a les plantilles haurien de tenir efecte en articles que inclouen la plantilla en uns minuts, trigant fins a diverses hores depenent del nombre de pàgines que utilitzin la plantilla. Una edició nul·la a l'article forçarà el canvi, però no hauria de ser necessari si tot va bé.

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, within user search options the title completion can be changed to classic prefix search which uses the full-text search index.



Suggeriments de cerca
Els suggeriments de cerca que obtingueu quan escriviu al quadre de cerca que desplega les pàgines candidates es classifiquen segons una mesura aproximada de la qualitat de l'article. 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.

Es poden ometre els suggeriments de cerca i les consultes es dirigiran directament a la pàgina de resultats de la cerca. Afegiu una tilde  abans de la consulta. Exemple "~Frida Kahlo". Els suggeriments de cerca encara apareixeran, però si premeu la tecla Retorn en qualsevol moment, accedireu a la pàgina de resultats de la cerca.

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 at Extension:CirrusSearch/CompletionSuggester.



Cercar un text sencer
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 attribute class=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 at elasticsearch.org; see their documentation on contributing to 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 include Did you mean (spelling correction), and, when no results would otherwise be found it will say Showing results for (query correction) and search 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 in txt2regex
 * subwords inside a compoundName using camelCase

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 against content (rendered on the page). To match against wikitext instead, use the insource search parameter (See section below). Each search parameter has its own index, and interprets its given term in its own way.

L'espaiat entre paraules, frases, paràmetres i entrada de paràmetres pot incloure exemples multitud d'espais en blanc i "codi gris" (greyspace en anglès) fa referència a tots els caràcters "no alfanumèrics" ~!@#$%^&_+-={}|[]\:";'<>?,./ . Una cadena mixta de "codi gris" i espais en blanc és "espai gris" i es tracta com un separador entre paraules. Greyspace is how indexes are made and queries are interpreted.

Hi ha dues excepcions quan 1) un embedded:dos punts és una paraula (es tracta com una lletra) i 2) una coma incrustada, com ara 1,2,3. com a nombre. Els caràcters de codi gris s'ignoren, tret que, a causa de la sintaxi de la consulta, es puguin interpretar com a caràcters modificadors.

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 interpret AND and OR, but parameters cannot. Note that the AND and OR operators currently do not function in the traditional truth-logic manner! For details see more on logical operators.
 * Truth-logic understands - or ! prefixed to a term to invert the usual meaning of the term from "match" to "exclude".


 * 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".

Una cerca de frase es pot iniciar amb diversos indicadors per al motor de cerca. Cada indicador té un efecte sobre la tolerància de concordança de la seqüència de paraules. Pels indicadors de codi gris, camelCase o txt2number són:


 * given words-joined_by_greyspace(characters) or wordsJoinedByCamelCaseCharacters it finds words joined by ... characters, in their bare forms or greyspace forms.
 * txt2number will match  or.
 * Stop words are enabled for the edge cases (in the periphery) of a grey_space or camelCase phrase. An example using the, of , and a is that the_invisible_hand_of_a matches  within the text.

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:

Note that CamelCase matching is not enabled for all languages.
 * Una "frase exacta" "entre cometes" tolerarà (coincidirà amb) el codi gris. Donat "exact_phrase" o "exact phrase", coincidirà amb.
 * A greyspace_phrase initiates stemming and stop word checks.
 * Given CamelCase it will additionally match, in all lowercase, because CirrusSearch is not case sensitive in matching.

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

Note that all stemming is case insensitive.

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

Given, CirrusSearch, when in an "exact phrase" context, (which includes the insource parameter context), will not match  ,  , or  , but will then only match.

Otherwise, remember that for CirrusSearch words 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. Now camelcase matches camelCase because Search is not case sensitive, but camelCase matches camelcase because 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 search parser_function -"parser function" is the sum of the basic searches  and.

Making inquiries with numbers, we would find that:


 * Plan9 or Plan_9 matches any of:,  ,  ,  ,
 * "plan9" only matches  (case insensitive)
 * Plan*9 matches  or.

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 a proximity search, because proximal words are tolerated to an approximate rather than exact phrase.
 * For example, "exact one two phrase"~2 matches.
 * For a word it means extra characters or changed characters.
 * For a phrase a fuzzy search requires a whole number telling it how many extra words to fit in, but for a word a fuzzy search can have a decimal fraction, defaulting to word~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 word word~2 is most fuzzy with an edit distance of 2 (default), and word~1 is least fuzzy, and word~0 is not fuzzy at all.

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, see Elasticsearch slop.

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

Insource
Les cerques amb insource es poden utilitzar per trobar qualsevol "paraula" representada en una pàgina, però està fet per trobar qualsevol frase que pugueu trobar, inclòs Markup MediaWiki (també conegut com wikicode), a qualsevol pàgina excepte a les redireccions. Aquesta frase ignora completament els caràcters especials o codi gris: insource: "state state autocollapse" coincideix amb.

Insource es complementa a si mateix. D'una banda té cerca de text complet per a qualsevol paraula del wikitext, a l'instant. D'altra banda, pot processar una cerca d'expressió regular per a qualsevol cadena de caràcters. Les expressions regulars escanegen tots els caràcters textuals d'una llista determinada de pàgines; no tenen un índex de paraules per accelerar el procés, i aquest s'interromp si s'executa durant més de vint segons. Les expressions regulars s'executen al final en una consulta, de manera que per limitar l'exploració innecessària a nivell de caràcters, cada consulta d'expressió regular hauria d'incloure altres termes de cerca per limitar el nombre de documents a analitzar. Sovint, el millor candidat per afegir a la consulta d'expressió regular insource:/arg/ és insource:arg, on arg és el mateix (i no utilitza comodins).

La sintaxi de l'expressió regular és insource: sense espai, i després /regexp/. (Cap altre paràmetre no permet un espai. Tots els paràmetres excepte insource:/regexp/ accepten espai després dels dos punts.)

Els rols de cerca indexada i de cerca d'expressió regular són similars en molts aspectes:


 * Tots dos cerquen només wikitext.
 * Cap dels dos troba coses "originades" per una transclusió.
 * Tampoc fan cerques derivades, difuses o aproximades.
 * Tots dos volen els mínims resultats, i tots dos funcionen més ràpidament quan s'acompanyen d'una altra clàusula.

Però les cerques indexades ignoren el codi gris; Les cerques amb comodins no identifiquen els caràcters grisos, de manera que les expressions regulars són l'única manera de trobar una cadena exacta de caràcters qualsevol i tots, per exemple, una seqüència de dos espais. Les execucions regulars són una classe d'eines de cerca completament diferent que faciliten la concordança d'una cadena de forma literal (ús bàsic, per a principiants) i fan possible la concordança per expressions de metacaràcters (ús avançat) a la wiki. Vegeu #Cerques amb expressions regulars més avall.

Prefix and namespace
Prepending a namespace term like  to a search query limits results to a specific, 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 the first term in the query, or, if used as part of a  term, must appear as the last term in the query.

Two or more namespaces may be searched from the Advanced pane of the search bar found 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.

The search bar graphically sets and indicates a search domain. "Content pages" (mainspace), "Multimedia" (File), "Everything" (all plus 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 a  term overrides a namespace.

To specify a namespace name, prefix it with a colon, e.g.,. Use  to search across all namespaces, or    (a single colon) to search just the main article namespace.

As with search parameters,  and   must be lowercase. Namespaces names, though, are case insensitive.

The  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 modifier  has an effect, otherwise it is ignored.

are accepted.

The  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,  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.

The  parameter does not allow a space before a namespace, but allows whitespace before a pagename. This term always goes at the end, so that pagename characters may contain quotation marks.

The Translate extension creates a sort of "language namespace" of translated versions of a page. However, unlike namespace or prefix, which create the initial search domain, the inlanguage parameter is a filter of it. (See the next section.)

Exclude content from the search index
Content can be excluded from the search index by adding. This will instruct CirrusSearch to ignore this content from the search index (see for more context).

Additionally content can be marked as auxiliary information by adding. 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. A prefix will 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, but insource:/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 titles only or category only.
 * 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 contains fine 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

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

Since Regular expression searches are supported for intitle:
 * intitle:/regex/, intitle:/regex/i

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

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 uses SPARQL Category service from WDQS. Keywords are deepcategory or deepcat. 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.

Note that some deepcat searches return incomplete results. See bug for more details.

Linksto
Linksto finds wikilinks to a given name, not links to content. The input is the canonical, case sensitive, page name. 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. .)

Linksto does 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

finds articles that mention "CirrusSearch" but not in a wikilink.

Hastemplate
Podeu cercar la utilització d'una plantilla amb. Introduïu el nom de pàgina (sense prefix) per trobar totes les utilitzacions de la plantilla, però utilitzeu qualsevol dels noms de pàgines redirigides per trobar només els usos amb aquest nom.

Hastemplate troba ús secundari (o metaplantilla) en una pàgina: cerca la inclusió posterior a l'expansió. Aquesta és la mateixa filosofia que per a "paraules i frases" d'una plantilla, però aquí està per a "plantilles" d'una plantilla. La pàgina apareixerà com que té aquest contingut encara que no es vegi al wikitext.


 * hastemplate: "quality image", troba l'ús de "Template:Quality image" al vostre domini de cerca predeterminat (espais de noms).
 * hastemplate: portal:contents/tocnavbar, troba l'ús de la plantilla "Contents/TOCnavbar" a l'espai Portal.

Per a les instal·lacions amb l'extensió Translate, les cerques hastemplate tenen interferències quan Template:Nom de la plantilla traduïble embolica el nom de la plantilla d'una plantilla traduïble. Utilitzeu insource en el seu lloc.

Inlanguage
For installations with the Translate extension, inlanguage is 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
The contentmodel: 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:

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"

Articletopic
The articletopic: keyword allows filtering search results by topic. For possible topics see. E.g. articletopic:books will filter the search results to articles about books. articletopic:books|films will filter to articles about books or films. articletopic:books articletopic:films will 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 from ORES. 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
The pageid: 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 any explicit phrases 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.
 * Find articles about stinging insects.
 * Find templates about regex searching for template usage on the wiki.
 * Find templates about regex searching for template usage on the wiki.
 * Find templates about regex searching for template usage on the wiki.

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


 * Find articles about bees that also have the "featured article" template.
 * Find articles about bees that also have the "featured article" template.

The morelike: 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:

These settings can be made persistent by overriding  in System message.
 * 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 are title, text , auxiliary_text , opening_text , headings and all.
 * cirrusMltUseFields ( | ): use only the field data. Defaults to : the system will extract the content of the   field to build the query.
 * cirrusMltPercentTermsToMatch : The percentage of terms to match on. Defaults to 0.3 (30 percent).
 * Example:

Prefer-recent
Adding prefer-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 default  sort 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 as prefer-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 usual multiplier, it is an exponential boost. 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 via MediaWiki:Cirrussearch-boost-templates, or ad-hoc in individual queries via the  operator. If the  operator is set in a query, then the contents of   are ignored. Similar to the prefer-recent feature, boost-templates is applied as part of the default  sort 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 the  message this can be reduced to just.

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 via cirrussearch-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 like  would return a featured article as first result even if it merely has those three words mentioned throughout it, instead of the more relevant article about Brave New World itself.

Regular expression searches
A basic indexed search finds words rendered visible on a page. Hyphenation and punctuation marks and bracketing, slash and other math and computing symbols, are merely boundaries for the words. 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:"&lt;tag>{ {template}}&lt;/tag>" insource:/"&lt;tag>{ {template}}&lt;"\/"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: finds the term regex on 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. at Special: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 an insource:// (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 except without the slashes or escape characters, is ideal.
 * intitle (without regex search), incategory, and linksto are 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 the prefix parameter 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, and prefer-recent.

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

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:

To search for a string that contains a newline, you can do a search like  which means not a curly brace, then two curly braces, then any two characters except a curly brace, space, or pipe, then a  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:
 * The  or   are not reserved for matching a newline.


 * 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   does, but without regard to the number of character positions, or the range in each position, so   works, and even   works.

Substitutions for some metacharacters
While character classes,  ,   are not supported, in case of an acute need to use them in a regular expression, you may use these workarounds:

In these ranges, " " (space) is used as the character immediately following control characters, "!" – the character immediately following it, and "􏿿" as the U+10FFFF character, which is the last character in Unicode. Thus, the range from " " to "􏿿" includes all characters except for control ones, of which articles may contain newlines and tabs, while the range from "!" to "􏿿" includes all characters except for control ones and the 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". Because escaping 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 escaping using 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.


 * instead of
 * is as good as
 * But  always.
 * And . It finds the   literally, which is not the   you probably wanted.

Backslash-escape using 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) Write   out. (The /" delimiters "/ are not shown.)
 * 1) Replace   with   (previous double-quote: stop, concatenate, quote restart).
 * 1) Replace   with   (stop, concatenate, start).
 * 1) You get , showing concatenation of the two methods.

The square-bracket notation for creating your own character-class also escapes its metacharacters. 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 character class, 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:"[ [link|2\3?]]\" insource:/"[ [link|2\3?]]< "\/" tag>"/

Regex on titles
The insource keyword does only search the page source content. To run regex searches on the title strings intitle:/regex/ can be used.

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



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 on and

bounded
You can limit search to pages identified as being near some specified geographic coordinates. The coordinates can either be specified as a &lt;lat>,&lt;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
Since MediaWiki 1.28, CirrusSearch supports indexing and searching of properties of files in the  namespace. This includes:
 * file media type
 * MIME type
 * size
 * width & height
 * resolution
 * bit depth for files that support these

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:



This list may be extended in the future. See also  constants in.

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 exactly
 * 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} or filesize:>{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:>20 or filesize: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

Where  can be:

filew or filewidth - file width

fileh or fileheight - 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
The extension defines some search keywords in order to make it easier to search for certain Wikibase items. This is useful on and other Wikibase sites, including to search for images with Structured data on. See for 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 (see blog 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 called. 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 than  will disable all search keywords that affect scoring, such as   or. The keywords will still be parsed, but they will have no effect.

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

 Guidance: 

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



 Valid sort orders include: 

Interface for advanced options


The AdvancedSearch extension adds an improved interface to the search page allowing the use of several options described above in a user-friendly manner. See here for the user manual.



Vegeu també

 * Completion Suggester - the incremental search feature of CirrusSearch
 * — definitions, context, and links for terms related to search.
 * See for MWSearch, used by the many wikis that don't have a search extension.