JSON to SQL: Conversion Guide

When converting JSON to SQL, it is important to keep the following points in mind:

1. Data type conversion: There may be differences between the data types in JSON and SQL, for example, a string in JSON may need to be converted to a VARCHAR type in SQL.
2. Dealing with NULL values: There may be empty values in JSON that need to be converted to NULL values in SQL based on the actual situation.
3. Data formatting: Dates, times, and other data in JSON need to be converted and formatted according to the format requirements of the SQL database.
4. Data structure transformation: JSON data is often nested, so it needs to be converted into a table structure suitable for SQL.
5. Data cleansing and validation: It is necessary to clean and validate the data during the conversion process to ensure its accuracy and integrity.
6. Primary key and foreign key handling: Consider whether there are primary keys and foreign keys in the JSON data and ensure they are appropriately processed when converting to SQL.
7. Performance optimization: When dealing with a large amount of data conversion, it is necessary to consider performance optimization to prevent excessive database workload.