![]() ![]() So you also might change the type of user_name, or with V3.23. See chapter "7.3.7 Cast operators" of the MySQL Reference Manual. The issue I am running into is that tables in mysql are named like this: mydatabase.industry mydatabase.account. The development database is hosted in a Windows environement while the production mysql is on Linux. Starting with V3.23.0 it's also possible to force a comparison into case sensitivity with the cast operator BINARY, independent of the types of involved fields. We are currently developing a product using Code First Entity Framework and Mysql. See chapter "7.2.7 String types" of the MySQL Reference Manual and look for the statements on sorting and comparisons. If you compare a field from (a) with a field from (b), then the comparison will be case sensitive (case sensitivity wins). The behaviour depends on the fields that are involved:Īnd all variants of TEXT fields do compare case insensitive.Īnd all variants of BLOB fields do compare case sensitive. In this syntax, if the expression matches the pattern, the LIKE operator returns 1. The pattern matching with regular expression ( RLIKE or REGEXP) isĪlways case sensitive for all versions of MySQL except the newestįor example: SELECT phone FROM user WHERE user_name REGEXP 'term' įor both the normal comparison (=) and the SQL pattern matching ( LIKE) Use any of the functions LOCATE, POSITION, or INSTR.įor example: SELECT phone FROM user WHERE POSITION('term' IN user_name)>0 The string functions in MySQL are always case sensitive, so you could You always should state with your question which version of MySQL you're using, because MySQL is in steady development. For example, in the case- sensitive database, I can do select * from casetable where thing collate latin1_swedish_ci = "abc" Note that you can also change the collation from within a query. While in a case-insensitive database, we get: select thing, count(*) from casetable group by thing In MySQL 8.0 you can use the 'regexplike' passing the 'matchingtype' equals to 'c' for case sensitive, or 'i' for case insensitive matching. Select * from casetable where thing = "abc" In a case-sensitive database, we get: select thing, count(*) from casetable group by thing This has an effect on things like grouping and equality. You can choose a case-sensitive collation, for example latin1_general_cs ( MySQL grammar): CREATE SCHEMA IF NOT EXISTS `myschema` For case-insensitive matching, use ILIKE instead. The default collation for character set latin1, which is latin1_swedish_ci, happens to be case-insensitive. Allows case-sensitive matching of strings based on comparison with a pattern. Each character set has a default collation see here for more information. Whenever you create database in MySQL, the database/schema has a character set and a collation. By default, MySQL does not consider the case of the strings Like many 'slightly advanced but not horrifically terrible' things in SQL where Sequelize is in the mix, I find just spinning through and doing it long hand ends up being slower, but far more readable and maintainable when looking back at the code 6 months or a year later.
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