Jan 25, 2017 · SELECT DISTINCT Loggers FROM [alo].[Forests] C WHERE (R.LogSU = 3) AND ForestID LIKE '106[0-9][3-4]') to make clear: SQL Server doesn't supports regular expressions without managed code. Depending on the situation, the LIKE operator can be an option, but it lacks the flexibility that regular expressions provides.

In t-sql, is there a way to do pattern matching in a like statement such that you can search for 1 or more characters in a given set? To be specific, I'm trying to come up with a LIKE statement that will return strings that begin with 1 or more letters and end in 1 or more numbers. So these strings should match: abcd1234; a1; abcdef2; ab123456

Apr 7, 2014 · Basically, LIKE does very simple wildcard matches, and REGEX is capable of very complicated wildcard matches. In fact, regular expressions (REGEX) are so capable that they are [1] a whole study in themselves [2] an easy way to introduce very subtle bugs. Have fun.

I'm having trouble getting a regular expression to work in SQL Server. I take in a comma separated list, each item a string I will want to match against. DECLARE @List TABLE ([SearchText] VARCHAR(255)) INSERT INTO @List ([SearchText]) SELECT CAST(Item AS VARCHAR) FROM dbo.fnSplit(@IDs, ',') UPDATE @List SET SearchText = '%controller/action ...

The closest you get to a regex search in SQL Server is PATINDEX(), but that doesn't do regular expressions. If you really wanted this, you'd have to make a CLR function to run the regex instead. You may be concerned about speed, but I would say that almost nothing you would do which concerns regular expressions or patterns would be able to use ...

Jan 19, 2012 · As your expression ends with + you can go with '%[^a-z0-9 .][^a-z0-9 .]%' EDIT: To make it clear: SQL Server doesn't support regular expressions without managed code. Depending on the situation, the LIKE operator can be an option, but it lacks the flexibility that regular expressions provides.

In case the link goes dead, here is some helpful text [preceded by the navigation] for locating it again: developerWorks->Technical topics->Information Management->Technical library Bringing the Power of Regular Expression Matching to SQL The ability to find patterns in a string is a common scenario in many text-based applications. This article ...

It has functions for Regular Expression searches, such as grep and grepl. Here's an example for email addresses. I'll query some "people" via the SQL Server database engine, pass the data for those people to R, let R decide which people have invalid email addresses, and have R pass back that subset of people to SQL Server.

Dec 27, 2013 · If you mean MySQL, LIKE does not implement regular expressions. It implements the much more restricted SQL pattern matching, which just has two special operators: % matches any sequence of characters, and _ matches any single character. If you want regular expression matching, you must use the REGEXP or RLIKE operator:

LIKE is not as versatile, but typically faster than regular expressions. It's probably faster to narrow down the set of candidates with a cheap LIKE expression. Generally, you would use NOT LIKE '__0', but since we already establish LIKE '00%' in the other predicate, we can use the narrower (cheaper) pattern NOT LIKE '000'.