Python: Setting data types when using to_sql
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Issue: column encoding is altered when saving a DataFrame from Python to Oracle
When dealing with databases, it's important to pay attention to data types to ensure that the table structure is preserved when saving a DataFrame from Python. The following is a basic code snippet to save a DataFrame to an Oracle database using SQLAlchemy and pandas:
However, running this code may reveal a bug where the column encoding is altered in the Oracle database table. Upon inspection, it becomes apparent that only the first column
id retains its integer data format, while the remaining columns name, hire_date, and insert_datetime are changed to CLOB (Character Large Object) encoding in Oracle.Solution: using the dtype parameter when invoking to_sql()
To ensure that the correct data types are preserved when writing a DataFrame to an Oracle database, one approach is to explicitly define the data types for each column when using
to_sql(). This can be achieved by creating an SQLAlchemy Table object with specified data types and then using the dtype parameter when invoking to_sql().Ensure that the data type has been converted to datetime before using
types.DATE().上一篇
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Saving Dataframes into Oracle Database with Python
- Author:Luca Liu
- URL:http://www.blog.luca-liu.com/article/python-setting-data-types-when-using-tosql
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