![]() If the title of this post caught your attention, you are most likely quite familiar with SSMS. And today, we’re going to put them face to face and find out who’s better. It was Azure Data Studio – obviously less mature, weaker in terms of database administration, yet very promising and eager to win its audience. That’s no easy feat, especially in the software world, where things can change faster than you say “blueberry pie.” But then a contender emerged, developed and released by the same Microsoft folks in 2018. DataColumn.For 15 years, SSMS has held the title of the top SQL Server database tool. value( '.', 'nvarchar(255)' ) AS SectionName value( '.', 'nvarchar(255)' ) AS SectionNumber, value( '.', 'nvarchar(255)' ) AS DocumentNumber, value( '.', 'nvarchar(255)' ) AS DocumentVersion,ĭocumentNumbers. Since we only have 1 capture group we have access to $1 but if we have multiple capture groups, then we have access to multiple $1, $2, $3…Īnd we have a fully functioning XQuery using Regex in SQL Server.ĭocumentVersions. Since we have a capture group, we can use that what is in that group, by specifying $1, soĭ(‘.’,’nvarchar(255)’) AS DocumentVersion I’ve put that “word” regex in brackets so it’s our “capture group”.One or more “word” letters, here it means everything up to the comma or a newline, and. ![]() Now we can use Regex and groups to change all those NULL AS ColumnName to valid syntax Regex time nodes( '/EventContext/sectionName') AS SectionNames ( SectionName ) nodes( '/EventContext/sectionNumber') AS SectionNumbers ( SectionNumber ) nodes( '/EventContext/documentNumber') AS DocumentNumbers ( DocumentNumber ) nodes( '/EventContext/documentVersion') AS DocumentVersions ( DocumentVersion ) nodes( '/EventContext/discipline') AS Disciplines ( Discipline ) nodes( '/EventContext') AS EventContexts ( EventContext ) value( '.', 'nvarchar(255)' ) AS Discipline, value( '.', 'nvarchar(4000)' ) AS EverythingAndAll,ĭisciplines. The difference between SQL escape and Regex escape is that, in SQL, you can choose any character to be the escape character while, in Regex, the backslash “\” character is used.Īs for Groups, I’ll show you later more about them and what you can do with them.ĮventContexts. WHERE Name LIKE '\_underscore' ESCAPE '\' This means that if we are searching for brackets, we’ll need to escape them, which is nearly the same as escaping characters in SQL. Regex has the idea of “capturing groups” and the way to specify which is captured into a group is by wrapping things in brackets. I like nvarchar data types to have the N” before the single quotes.I like spaces before and after minus signs.I like spaces before and after plus signs, and.I like spaces before and after brackets.Let’s break the script I was given down into the formats I like: You can place regex in the “Find” box and it will use that for searching. There is an option in SSMS and Azure Data Studio when you hit “Ctrl F” (Find) or “Ctrl H” (Find and Replace) where you have the option to use Regex.* = whatever I guess It’s okay when everything lines up, like in the first part of the above gif, and we can use the “Ctrl Alt
0 Comments
Leave a Reply. |