Web Reference: Dec 11, 2025 · With regex, more powerful pattern matching is possible than with the previous patterns that was available in SQL Server, such as those in the LIKE operator and the PATINDEX function. Mar 14, 2026 · Regular expressions (regex) are powerful tools used to search, match, extract, and replace text based on specific patterns.In SQL, regex helps manage and manipulate textual data more efficiently than simple string functions and makes it useful for handling complex data-processing tasks. While working with the string data, we perform various calculations, analytics, search, replace strings using SQL queries. SQL Server provides many useful functions such as ASCII, CHAR, CHARINDEX, CONCAT, CONCAT_WS, REPLACE, STRING_AGG, UNICODE, UPPER for this purpose. In this article, we explore SUBSTRING, PATINDEX, and CHARINDEX using examples.
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Extract String Patterns in SQL Server with PATINDEX | Syntax Breakdown & Real-World Example Details
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Extracting String Data Efficiently with BigQuery SQL Net Worth
Extracting String Data Efficiently with BigQuery SQL
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How to Extract characters from a string using LEFT, RIGHT and SUBSTRING in SQL Server
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Extracting Middle Characters from Strings in SQL
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Extracting Substrings from Specific Characters in SQL Server
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Extracting the Last Order Number from Strings with Different Patterns in SQL
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Extract Substrings Efficiently Using REGEX_SUBSTR in SQL
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Extracting Specific Portions from Strings in SQL
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SQL Query | Split Concatenated String into Columns | CharIndex
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Mastering String Manipulation: Extracting Portions of Strings in SQL Server

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