Regex builder series#
I am the creator of one of the biggest free online collections of articles on a single topic, with his 50-part series on SQL Server Always On Availability Groups.īased on my contribution to the SQL Server community, I have been recognized as the prestigious Best Author of the Year continuously in 2019, 2020, and 2021 (2nd Rank) at SQLShack and the MSSQLTIPS champions award in 2020. I published more than 650 technical articles on MSSQLTips, SQLShack, Quest, CodingSight, and SeveralNines. I am the author of the book " DP-300 Administering Relational Database on Microsoft Azure". Hi! I am Rajendra Gupta, Database Specialist and Architect, helping organizations implement Microsoft SQL Server, Azure, Couchbase, AWS solutions fast and efficiently, fix related issues, and Performance Tuning with over 14 years of experience. Execute the following query, and we get all product descriptions: In this article, we will use the AdventureWorks sample database. We can have multiple types of regular expressions: In this article, we will use the term T-SQL RegEx functions for regular expressions. We also call these regular expressions as T-SQL RegEx functions. We use regular expressions to define specific patterns in T-SQL in a LIKE operator and filter results based on specific conditions. For example, in the Employee table, we want to filter results and get the only employee whose name starts with character A. We use LIKE logical operator to search specific character in the string and retrieve the result. Suppose you have a data column that contains string data in alphanumeric format. We store data in multiple formats or data types in SQL Server tables. All it is a IFS statement combined with a JOIN and FILTER to exclude empty cells for the JOIN.This article explores T-SQL RegEx commands in SQL Server for performing data search using various conditions. This is quite similar to how my GSC rank tracker works, but I also bypass the sidebar to make it easier to use.
Get the data to the table, and you'll have GSC data for just the queries you entered. Head to the filter area, set up a 'search query' filter with a 'matches regex' rule, and paste the rule you copied from the sheet. Use the GSC data source and configure however you like. To do that, enter the queries you want to pull data for in my sheet, set it to exactly matches and copy the regex rule. If you have a list of priority terms you're trying to optimise for, what you could do is utilise Supermetrics and filter for those specific terms to track performance. Then, give the field a name, enter the CASE statement in the example above with your regex pasted in over the example regex and click save. Next, create a calculated field in Data Studio by heading to your GSC data source field settings and selecting 'add a field' in the top right. To create the Regex within the Google Sheet, use a contains match type alongside entering a list of different brand variations in the table below. MongoDB uses Perl compatible regular expressions (i.e. There are many ways you can use the CASE and REGEXP_MATCH functions, but one is to create a brand / non-brand split with the Google Search Console connector. Provides regular expression capabilities for pattern matching strings in queries.
One of the great things about Data Studio is CASE statements. You've now got a segment in Google Analytics monitoring those new URLs so you can quickly see the performance impact.
Once you've done that, head to Google Analytics and create a new segment.Īfter you've done that, name your segment, head to conditions, choose 'Landing page' as your dimension, 'matches regex' as your match type and then paste the regex outputted from the tool. Say you've just completed a content gap and created a range of new categories pages targeting terms on your e-commerce site.Īll you have to do is copy your list of URLs and paste them into the sheet with a match type of 'Exactly matches'. One example use case is creating a segment within Google Analytics. You could use the regex examples across any of these tools, so make sure to experiment. To use the template, click the button above, then go to 'File > Make A Copy' in the top left.īelow are a few different ideas for how you could use this sheet to generate regex patterns that you can input into other tools.
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