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Discover how to extract `INSERT INTO SELECT` SQL statements using Python's regex. Perfect for database management and data handling!
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This video is based on the question https://stackoverflow.com/q/62692548/ asked by the user 'Arslaan Muhammad Ali' ( https://stackoverflow.com/u/10428063/ ) and on the answer https://stackoverflow.com/a/62692791/ provided by the user 'mrxra' ( https://stackoverflow.com/u/12693728/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Unlocking INSERT INTO SELECT in Python with Regex

When working with large SQL files, developers often need to extract specific statements for review or analysis. A common requirement is to identify INSERT INTO SELECT patterns in SQL commands. This guide will guide you through a straightforward solution using Python’s regex capabilities to find and extract these SQL statements efficiently.

The Challenge

In your SQL file, there are several types of INSERT statements. However, you only want to focus on those that follow the pattern INSERT INTO ... SELECT .... Here are two examples of such statements:

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To successfully extract such patterns, we need an effective regular expression (regex) that can pinpoint the beginning and the end of each SQL command.

Crafting the Solution

To match the required SQL patterns, we can use the regex below:

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What This Regex Does

Starts with INSERT INTO: This specifies that we want to find statements that start with this phrase.

Followed by [^;]*: This allows for any characters (except the semicolon) to follow, capturing everything in between until we hit the SELECT keyword.

Includes SELECT: This is crucial, as we want to narrow our focus to only those statements that have a SELECT following the INSERT INTO clause.

Ends with [^;]*;: This captures the rest of the statement up to the semicolon, allowing for complex SQL structures.

Implementing the Regex in Python

Now, let’s see how to implement this regex in a practical Python script:

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Reading and Writing from the File

If your SQL statements are stored in a file, you can extend the above script to read from a file and then write your results to a new file.

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Key Points

This approach allows for flexibility in your query pattern matching, especially dealing with complex SQL statements.

Using re.MULTILINE | re.DOTALL ensures that the regex works across multiple lines, respecting the formatting of the SQL.

Conclusion

This guide introduced a powerful regex solution for extracting INSERT INTO SELECT statements from SQL files using Python. By breaking down the regex pattern and implementing it in your code, you can streamline your SQL management tasks efficiently. Now, whether you’re working on database management or preparing for data analysis, you have the tools to filter essential SQL commands swiftly.

Happy coding!