When working with databases that exchange data with other systems, ensure proper serialization and deserialization of data types like UUIDs, dates, or complex objects. System-specific representation differences can lead to data corruption, query failures, or incorrect results.
When working with databases that exchange data with other systems, ensure proper serialization and deserialization of data types like UUIDs, dates, or complex objects. System-specific representation differences can lead to data corruption, query failures, or incorrect results.
For example, when working with MongoDB and UUIDs:
# Specify UUID representation in connection string
mongodb+srv://username:password@cluster.mongodb.net/mydb?uuidRepresentation=standard
# For legacy UUID representations, use appropriate parameters:
# - C#: uuidRepresentation=csharpLegacy
# - Java: uuidRepresentation=javaLegacy
# - Python: uuidRepresentation=pythonLegacy
When joining data across different sources, ensure join keys have compatible data types:
byte
, short
, integer
) can typically be joinedhalf_float
, float
, scaled_float
, double
) are often interchangeableAlways document data type compatibility requirements in your schema design and provide conversion functions where needed to ensure consistent data handling across systems.
Enter the URL of a public GitHub repository