Why is my dataframe.to_sql throwing a DBAPI error?-CodePudding

I'm attempting to insert data from a pandas dataframe into an MSSQL database table.

This is my code that's throwing an error

resultDf.to_sql(name='obscured',schema='dbo',if_exists='append', con=write_engine, index=True,chunksize=1500, method='multi')

This code worked/works

resultDf.head().to_sql(name='obscured',schema='dbo',if_exists='append', con=write_engine, index=True)

This is the error that I'm getting which according to sql alchemy's documentation is thrown by pyodbc, which is the driver I'm using for MSSQL.

DBAPIError: (pyodbc.Error) ('07002', '[07002] [Microsoft][ODBC Driver 17 for SQL Server]COUNT field incorrect or syntax error (0) (SQLExecDirectW)')
[SQL: INSERT INTO dbo.obscured ([obscuredcolumn1], [obscuredcolumn2], [obscuredcolumn3], [obscuredcolumn4], [obscuredcolumn5], [obscuredcolumn6], [obscuredcolumn7], [obscuredcolumn8], [obscuredcolumn9]) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?), (?, ?, ?, ?, ?, ?, ?, ?, ?)

there's probably 1500 or so tuples of ?, then 1500 or so tuples of actual values:

[parameters: (datetime.datetime(2022, 8, 9, 15, 0), 7179747, 868, 920, 0, 0, 0, 0, 0, datetime.datetime(2022, 8, 9, 15, 0), 7179748, 0, 430, 0, 0, 0, 0, 0, datetime.datetime(2022, 8, 9, 15, 0)

Where have I gone wrong? What should I be testing to troubleshoot?

CodePudding user response：

It's related to chunksize. I shrunk the chunksize from 1500 to 50, then gradually increased. There must be a setting on the database side that's limiting the number of records that can be inserted at one time.