{"id":1659,"date":"2018-11-04T18:12:01","date_gmt":"2018-11-04T11:12:01","guid":{"rendered":"http:\/\/www.sqlitetutorial.net\/?page_id=1659"},"modified":"2024-10-25T14:57:26","modified_gmt":"2024-10-25T07:57:26","slug":"sqlite-window-functions","status":"publish","type":"page","link":"https:\/\/www.sqlitetutorial.net\/sqlite-window-functions\/","title":{"rendered":"SQLite Window Functions"},"content":{"rendered":"\n

An SQLite window function performs a calculation on a set of rows that are related to the current row. Unlike an aggregate function<\/a>, a window function does not cause rows to become grouped into a single result row. a window function retains the row identities. Behind the scenes, window functions can access more than just the current row of the query result.<\/p>\n\n\n\n

The following picture illustrates the differences between aggregate functions and window functions:<\/p>\n\n\n\n

\"SQLite<\/figure>\n\n\n\n

The window functions are divided into three categories: value window functions, ranking window functions, and aggregate window functions as shown in the following picture:<\/p>\n\n\n\n

\"SQLite<\/figure><\/div>\n\n\n\n

Window functions are also known as analytic functions. The following table shows all window functions supported by SQLite:
\n<\/p>\n\n\n\n

Name<\/th>Description<\/th><\/tr><\/thead>
CUME_DIST<\/a><\/td>Compute the cumulative distribution of a value in an ordered set of values.<\/td><\/tr>
DENSE_RANK<\/a><\/td>Compute the rank for a row in an ordered set of rows with no gaps in rank values.<\/td><\/tr>
FIRST_VALUE<\/a><\/td>Get the value of the first row in a specified window frame.<\/td><\/tr>
LAG<\/a><\/td>Provide access to a row at a given physical offset that comes before the current row.<\/td><\/tr>
LAST_VALUE<\/a><\/td>Get the value of the last row in a specified window frame.<\/td><\/tr>
LEAD<\/a><\/td>Provide access to a row at a given physical offset that follows the current row.<\/td><\/tr>
NTH_VALUE<\/a><\/td>Return the value of an expression evaluated against the row N of the window frame in the result set.<\/td><\/tr>
NTILE<\/a><\/td>Divide a result set into a number of buckets as evenly as possible and assign a bucket number to each row.<\/td><\/tr>
PERCENT_RANK<\/a><\/td>Calculate the percent rank of each row in an ordered set of rows.<\/td><\/tr>
RANK<\/a><\/td>Assign a rank to each row within the partition of the result set.<\/td><\/tr>
ROW_NUMBER<\/a><\/td>Assign a sequential integer starting from one to each row within the current partition.<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

SQLite window functions perform a calculation on a set of rows that are related to the current row. Unlike aggregate functions, window functions do not cause rows to become grouped into a single result row.<\/p>\n","protected":false},"author":1,"featured_media":1688,"parent":0,"menu_order":9,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1659","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nSQLite Window Functions<\/title>\n<meta name=\"description\" content=\"SQLite window functions allow you to perform a calculation on a set of rows that are related to the current row.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.sqlitetutorial.net\/sqlite-window-functions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SQLite Window Functions\" \/>\n<meta property=\"og:description\" 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