![]() However, it returns rows whose values in the c column contains 10: cįifth, to get the correct result, you use the ESCAPE clause as shown in the following query: SELECT c WHERE c LIKE '%%' Code language: SQL (Structured Query Language) ( sql ) last year 20% increase next year Code language: Shell Session ( shell )įourth, attempt to find the row whose value in the c column contains the 10% literal string: SELECT c Then, query data from the t table: SELECT * FROM t Code language: SQL (Structured Query Language) ( sql ) cġ00% vs. ( '20% increase next year') Code language: SQL (Structured Query Language) ( sql ) Next, insert some rows into the table t: INSERT INTO t(c) ) Code language: SQL (Structured Query Language) ( sql ) Note that you can use other characters as the escape character e.g., /, $.įirst, create a table t that has one column: CREATE TABLE t( In this expression, the LIKE operator interprets the first % and last % percent signs as wildcards and the second percent sign as a literal percent symbol. ![]() Therefore, you need to escape this percent symbol % using an escape character: column_1 LIKE '\%%' ESCAPE '\' Code language: SQL (Structured Query Language) ( sql ) However, SQLite interprets the percent symbol % as the wildcard character. Suppose you want to match the string 10% in a column of a table. The LIKE operator evaluates the percent sign ( %) or underscore ( _) that follows the escape character as a literal string, not a wildcard character. Then you can use this escape character in the pattern to include literal percent sign (%) or underscore ( _). When you specify the ESCAPE clause, the LIKE operator will evaluate the expression that follows the ESCAPE keyword to a string which consists of a single character, or an escape character. If the pattern that you want to match contains % or _, you must use an escape character in an optional ESCAPE clause as follows: column_1 LIKE pattern ESCAPE expression Ĭode language: SQL (Structured Query Language) ( sql ) WHERE name LIKE '%Br_wn%' Code language: SQL (Structured Query Language) ( sql ) The following statement finds the tracks whose names contain: zero or more characters (%), followed by Br, followed by a character ( _), followed by wn, and followed by zero or more characters ( %). WHERE name LIKE '%Wild%' Code language: SQL (Structured Query Language) ( sql ) To find the tracks whose names contain the Wild literal string, you use % wildcard at the beginning and end of the pattern: SELECT WHERE name LIKE '%Wild' Code language: SQL (Structured Query Language) ( sql ) To find the tracks whose names end with Wild word, you use % wildcard at the beginning of the pattern. WHERE name LIKE 'Wild%' Code language: SQL (Structured Query Language) ( sql ) To find the tracks whose names start with the Wild literal string, you use the percent sign % wildcard at the end of the pattern. We’ll use the table tracks in the sample database for the demonstration. In case you want to make LIKE operator works case-sensitively, you need to use the following PRAGMA: PRAGMA case_sensitive_like = true Code language: SQL (Structured Query Language) ( sql ) SQLite LIKE examples However, for Unicode characters that are not in the ASCII ranges, the LIKE operator is case sensitive e.g., "Ä" LIKE "ä" is false. Note that SQLite LIKE operator is case-insensitive. The _pple pattern matches topple, supple, tipple, etc. ![]() The h_nt pattern matches hunt, hint, etc. The %er pattern matches any string that ends with er like peter, clever, etc.Īnd the %per% pattern matches any string that contains per such as percent and peeper. The s% pattern that uses the percent sign wildcard ( %) matches any string that starts with s e.g., son and so. The underscore _ wildcard matches any single character.The percent sign % wildcard matches any sequence of zero or more characters.They are percent sign % and underscore _ : SQLite provides two wildcards for constructing patterns. Note that you can also use the LIKE operator in the WHERE clause of other statements such as the DELETE and UPDATE. To query data based on partial information, you use the LIKE operator in the WHERE clause of the SELECT statement as follows: SELECTĬolumn_1 LIKE pattern Code language: SQL (Structured Query Language) ( sql ) For example, you may know that your most favorite song contains the word, elevator but you don’t know exactly the name. Sometimes, you don’t know exactly the complete keyword that you want to query. Summary: in this tutorial, you will learn how to query data based on pattern matching using SQLite LIKE operator.
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