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@@ -27,7 +27,7 @@ This article introduces regular expressions for SQL Server.
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A regular expression, or regex, is a sequence of characters that defines a search pattern for text. Regex is commonly used for a variety of tasks including pattern matching, data validation, data transformation, and querying. It offers a flexible and an efficient way to search, manipulate, and handle complex data operations.
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> [!NOTE]
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> [!NOTE]
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> Regular expressions are available in Azure SQL Managed Instance configured with the [Always-up-to-date](/azure/azure-sql/managed-instance/update-policy#always-up-to-date-update-policy) update policy.
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This implementation of regular expression is based on the [RE2 regular expression library](https://github.com/google/re2/). For more information, visit [RE2 Regular Expression Syntax](https://cran.r-project.org/web/packages/re2/vignettes/re2_syntax.html#:~:text=The%20simplest%20regular%20expression%20is,matches%20a%20literal%20plus%20character).
@@ -45,7 +45,7 @@ A simple regular expression is a single literal character. Characters match them
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### Single character expressions
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| Kinds of single-character expressions | Examples |
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### What is the performance impact of using regex?
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Regex queries may have a performance impact depending on the complexity of the regex pattern, the size of the text data, and the number of rows involved. You can use the execution plan and statistics to monitor and optimize the performance of your regex queries.
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Regex queries can have a performance impact depending on the complexity of the regex pattern, the size of the text data, and the number of rows involved. You can use the execution plan and statistics to monitor and optimize the performance of your regex queries.
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## Known Issues, behaviors, and limitations
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These are the items that are not currently supported in this preview:
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These are the items that aren't currently supported in this preview:
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- LOB data types (**varchar(max)** or **nvarchar(max)**) for `string_expressions`
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- Regular expression functions are not supported on memory-optimized OLTP tables
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- Regular expression functions aren't supported on memory-optimized OLTP tables
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