Handling Regex Patterns and Memory Management
Resolve memory exhaustion issues caused by mismatched regex patterns and data types, and learn how specifying ranges in regex patterns prevents excessive memory consumption.
Troubleshoot Regex-Related Memory Issues
Use the guidance below when a regex pattern causes high memory usage during test design.
Regex Pattern Mismatch Causing Memory Exhaustion
Issue: If a user provides an incorrect regex pattern, the system searches for this pattern in the dataset. If the pattern does not align with the data type selected by the user, such as when it lacks expected spaces, the system searches for non-existent matches, which can result in memory exhaustion. For example, if the regex pattern is [&;\\<>] and the user selects the Invalid Values option in Data Generation, which does not include spaces as expected by the regex pattern, memory-related issues can occur.
Resolution: Select the appropriate data types that exactly match the intended regex pattern requirements. To align with the expected criteria and prevent memory-related problems with the regex pattern in the example above, follow these steps:
Open settings
Navigate to the Data Generation settings.
Disable invalid values
Uncheck the Invalid Values checkbox.
By unchecking Invalid Values in the Data Generation settings, you ensure that the regex patterns are applied according to the expected criteria.
Missing Range in Regex Pattern Causing Memory Issues
Issue: Using a regex pattern such as [&;\\<>] without specifying a range can lead to memory issues. If the dataset is extensive or contains many occurrences of these characters, the system must track all matches it finds, which can consume excessive memory.
Resolution: Specify ranges in your regex patterns to limit the number of matches the system tracks. For example, [&;\\<>]{2,8} restricts the pattern to match between 2 and 8 occurrences of any character from the set &, ;, \, <, or >.