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- Query with Full-Text Search
Pdf full text search for lyrics
This article provides examples of each predicate and function and helps you choose the best one to use.
The following examples use the AdventureWorks sample database. To run the sample queries, you also have to set up Full-Text Search. The following example searches for all documents that contain words related to vital safety components :. The following example returns the description ID and description of all products for which the Description column contains the word "aluminum" near either the word "light" or the word "lightweight. To write a similar query, you have to know that ProductDescriptionID is the unique key column for the ProductDescription table.
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The following info helps you to choose the best predicate or function for your query:. Matching rows are returned in the result set.
More options. You can specify either a single column, a list of columns, or all columns in the table to be searched.
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Optionally, you can specify the language whose resources are used by the full-text query for word breaking and stemming, thesaurus lookups, and noise-word removal. To prepare a remote server to receive full-text queries, create a full-text index on the target tables and columns on the remote server and then add the remote server as a linked server. More info.
You have to specify the base table to search when you use either of these functions. As with the predicates, you can specify a single column, a list of columns, or all columns in the table to be searched, and optionally, the language whose resources are used by given full-text query.
To join the tables, you have to know the unique key column name. These functions return a table of zero, one, or more rows that match the full-text query. The returned table contains only rows from the base table that match the selection criteria specified in the full-text search condition of the function.
Queries that use one of these functions also return a relevance ranking value RANK and full-text key KEY for each row returned, as follows:. The search condition, in this case "learning curve," can be complex and can be composed of one or more terms. In full-text search, a word or token is a string whose boundaries are identified by appropriate word breakers, following the linguistic rules of the specified language.
A valid phrase consists of multiple words, with or without any punctuation marks between them. Words and phrases such as these are called simple terms. All entries in the column that contain text beginning with the specified prefix are returned.
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The query looks like the following example:. When the prefix term is a phrase, each token making up the phrase is considered a separate prefix term. All rows that have words beginning with the prefix terms will be returned.
A prefix term refers to a string that is affixed to the front of a word to produce a derivative word or an inflected form.
For a single prefix term, any word starting with the specified term will be part of the result set. For a phrase, each word within the phrase is considered to be a prefix term.
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The following example searches for any form of "foot" "foot," "feet," and so on in the Comments column of the ProductReview table in the AdventureWorks database:. Full-text search uses stemmers , which allow you to search for the different tenses and conjugations of a verb, or both the singular and plural forms of a noun. The inflectional forms are the different tenses and conjugations of a verb or the singular and plural forms of a noun.
For example, search for the inflectional form of the word "drive. A thesaurus defines user-specified synonyms for terms. A proximity term indicates words or phrases that are near to each other.
You can also specify the maximum number of non-search terms that separate the first and last search terms. In addition, you can search for words or phrases in any order, or in the order in which you specify them.
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For example, you want to find the rows in which the word "ice" is near the word "hockey" or in which the phrase "ice skating" is near the phrase "ice hockey. Weight, measured as a number from 0.
A weight of 0. The following example shows a query that searches for all customer addresses, using weights, in which any text beginning with the string "Bay" has either "Street" or "View.
A weighted term can be used in conjunction with any simple term, prefix term, generation term, or proximity term. In a weighted term search, a weighting value indicates the degree of importance for each word and phrase within a set of words and phrases. A weight value of 0.
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For example, in a query searching for multiple terms, you can assign each search word a weight value indicating its importance relative to the other words in the search condition. The results for this type of query return the most relevant rows first, according to the relative weight you have assigned to search words.
The result sets contain documents or rows containing any of the specified terms or content between them ; however, some results will be considered more relevant than others because of the variation in the weighted values associated with different searched terms. This example uses the ProductDescription table of the AdventureWorks database. Case sensitivity. Full-text search queries are case-insensitive.
This type of orthographic normalization is not supported.
When defining a full-text query, the Full-Text Engine discards stopwords also called noise words from the search criteria. Stopwords are words such as "a," "and," "is," or "the," that can occur frequently but that typically do not help when searching for particular text. Stopwords are listed in a stoplist. Each full-text index is associated with a specific stoplist, which determines what stopwords are omitted from the query or the index at indexing time. Many query terms depend heavily on word-breaker behavior.
After you apply a given word breaker, thesaurus, and stoplist combination in a query, you can see how Full-Text Search tokenizes the results by using the sys.
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Examples of each predicate and function The following examples use the AdventureWorks sample database. You can also do the following things: Specify the proximity of words within a certain distance of one another.
Return weighted matches.
How to Search for Text Inside Multiple PDF Files at Once
Combine search conditions with logical operators. Matches are generated if any term or form of any term is found in the full-text index of a specified column. The KEY column returns unique values of the returned rows. The KEY column can be used to specify selection criteria. RANK column. The RANK column returns a rank value for each row that indicates how well the row matched the selection criteria. The higher the rank value of the text or document in a row, the more relevant the row is for the given full-text query.
Different rows can be ranked identically. More info about simple term searches In full-text search, a word or token is a string whose boundaries are identified by appropriate word breakers, following the linguistic rules of the specified language.
More info about generation term searches The inflectional forms are the different tenses and conjugations of a verb or the singular and plural forms of a noun. Search for synonyms of a specific word A thesaurus defines user-specified synonyms for terms. Search for a word NEAR another word A proximity term indicates words or phrases that are near to each other. More info about weighted term searches In a weighted term search, a weighting value indicates the degree of importance for each word and phrase within a set of words and phrases.
Check the tokenization results After you apply a given word breaker, thesaurus, and stoplist combination in a query, you can see how Full-Text Search tokenizes the results by using the sys. Yes No.
Query with Full-Text Search
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