Execute the following query: USE DEMODATABASE Once the data is in place, we need to review it. ( N'GAM BODIYA TALUKO LIMADI DIST SURENDRANAGR') ( ) VALUES ( N'KHODIYAR NAGAR BEHRAMPURA A,BAD') ( ) VALUES ( N'1278, HOJAVALIGALI GOMATIPUR A`BD') ( ) VALUES ( N'TARA APPTS, GURUKUL ROAD AHMEDABAD') ( ) VALUES ( N'PATHAR KUVA RELIEF ROADA''BAD') ( ) VALUES ( N'KALOLI GAM TA-KHEDA DIST- KHEDA') Now, we need to insert the data into the “Patient_Addresses” table: USE Prepare Demo Setupįirst, we create a demo table named “ Patient_Addresses.” Execute the following query: USE DEMODATABASE Now, let’s demonstrate the LIKE operator’s use cases. The LIKE operator uses a combination of a matching expression and a pattern and supports the following valid wildcard characters’ pattern. We’ll clarify the essence of the LIKE operator and illustrate some use cases concerning searching for the data from a table based on a specific pattern. Here, we are going to deal with the LIKE operator that can be used to match the patterns ( the next article relates to the SUBSTRING, PATINDEX, and CHARINDEX functions). If we are querying a large table, they can produce a huge impact on performance. However, such queries are difficult to maintain and require more time and effort to develop. We can combine these functions with others and create more complex queries. However, SQL Server offers the following built-in functions to tackle such complex issues:
Unlike MySQL and Oracle, SQL Server databases don’t support built-in RegEx functions.
In SQL databases, selecting the values based on regular expressions defined in the WHERE condition is very useful. To parse the data in ETL by creating rules for inbound and outbound traffic and finding patterns in the code.To find a specific text pattern or apply a filter to the text, numeric, or special character data.To identify the data using combinations, such as credit or debit card numbers, email addresses, or telephone numbers.The following are some of the use cases for regular expressions: In essence, it is a sequence of characters or text, which determines the search pattern. A Regular Expression (Regex) is a rule defining how characters can appear in an expression.
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