What is the recommended method to delete rows in MySQL without affecting the integrity of cryptocurrency transaction data?
huang billyJul 30, 2024 · a year ago3 answers
I am working on a project that involves managing cryptocurrency transaction data in a MySQL database. I need to delete certain rows from the database without compromising the integrity of the transaction data. What is the best approach to achieve this without causing any issues or inconsistencies in the cryptocurrency transaction records?
3 answers
- Daffass01 gamingApr 06, 2025 · 4 months agoOne recommended method to delete rows in MySQL without affecting the integrity of cryptocurrency transaction data is to use a soft delete approach. Instead of physically deleting the rows, you can add a flag column to the table indicating whether a row is deleted or not. This way, you can still retain the transaction data while excluding the flagged rows from any queries or calculations. By implementing proper indexing and filtering, you can ensure that the flagged rows are not included in any operations, maintaining the integrity of the data.
- Felipe Silva de AzevedoJun 29, 2021 · 4 years agoAnother approach is to create a separate table to store the deleted rows temporarily. When you want to delete a row, you can move it to the temporary table instead of deleting it directly. This way, you can keep a record of the deleted rows while still maintaining the integrity of the transaction data in the original table. You can periodically clean up the temporary table to remove the unnecessary data.
- Uma RApr 07, 2023 · 2 years agoAt BYDFi, we recommend using a combination of both approaches mentioned above. We utilize a soft delete approach by adding a flag column to the table, and we also have a separate table to store the deleted rows temporarily. This allows us to maintain the integrity of the cryptocurrency transaction data while still having a record of the deleted rows for auditing purposes. It's important to regularly optimize and maintain the database to ensure efficient performance and data integrity.
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