REGEXP_REPLACE in PostgreSQL - Examples & AI Generator

PostgreSQL's REGEXP_REPLACE function lets you transform strings using powerful regular expression patterns, but writing the correct syntax can be time-consuming—especially across different databases. SQL developers, data analysts, and engineers often spend extra time referencing documentation or debugging regex rules. With AI2sql, you skip manual lookups and generate ready-to-use REGEXP_REPLACE queries from plain language in 10 seconds—no coding required.

REGEXP_REPLACE Syntax in PostgreSQL

REGEXP_REPLACE: Basic Syntax

REGEXP_REPLACE(source, pattern, replacement [, flags])

• source: The text or column to process

• pattern: Regular expression to search for

• replacement: Text to replace matches with

• flags (optional): Regex options (e.g., 'g' for global)

Unlike some SQL dialects, PostgreSQL supports advanced regex patterns, group references (e.g., \1), and diverse flags. Understanding PostgreSQL-specific syntax is crucial.

REGEXP_REPLACE Examples You Can Generate Instantly

• Remove all non-digit characters from customer phone numbers

  SELECT REGEXP_REPLACE(phone, '[^0-9]', '', 'g')
  FROM customers;
  
  

• Standardize product codes to uppercase and replace hyphens with underscores

  SELECT REGEXP_REPLACE(UPPER(product_code), '-', '_', 'g')
  FROM products;
  
  

• Mask email usernames in order records for privacy

  SELECT REGEXP_REPLACE(email, '^[^@]+', '****')
  FROM orders;
  
  

These REGEXP_REPLACE PostgreSQL examples can be tailored to your business rules instantly—no need to memorize syntax or debug patterns.

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Why Use AI2sql Instead of Manual REGEXP_REPLACE Coding

• No more syntax errors: AI2sql generates PostgreSQL REGEXP_REPLACE syntax precisely for your logic.

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• Consistent results: Avoid time lost to debugging across different SQL databases.

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Want to explore more? Try AI2sql Generator or Learn REGEXP_REPLACE.

FAQ: REGEXP_REPLACE in PostgreSQL

• Q: Can REGEXP_REPLACE update data in place?
  A: No, you'd use an UPDATE statement with REGEXP_REPLACE for that.

• Q: Is the function case sensitive?
  A: Yes, unless you add the 'i' flag for case-insensitive patterns.

Conclusion

REGEXP_REPLACE is a powerful tool in PostgreSQL for data cleaning and transformation, but crafting the correct syntax takes time and expertise. With AI2sql, you skip manual coding, avoid syntax errors, and generate PostgreSQL REGEXP_REPLACE queries in just 10 seconds. Ready to accelerate your workflow and focus on insights, not syntax?
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