使用python中的to_sql函数将数据帧插入Sql-server DB时出错

Question

I am trying to insert pandas dataframe df into SQL Server DB using dataframe.to_sql function. But i getting below error:

Source code:

import pyodbc
import sqlalchemy
import urllib

df  #sample dataframe
params = urllib.parse.quote_plus("DRIVER={SQL Server};SERVER=GIRSQL.GIRCAPITAL.com;DATABASE=Tableau;UID=SQL_User;PWD=pass")
engine = sqlalchemy.create_engine("mssql+pyodbc:///?odbc_connect=%s" % params)
engine.connect()
df.to_sql(name='[Tableau].[dbo].[Test table]',con=engine, index=False, 
if_exists='append')

Error:

File "C:\\Users\\Arvinth\\sqlalchemy\\engine\\default.py", line 470, in do_execute cursor.execute(statement, parameters)

sqlalchemy.exc.ProgrammingError: (pyodbc.ProgrammingError) ('42000', "[42000] [Microsoft][ODBC SQL Server Driver][SQL Server]Incorrect syntax near 'INTEGER'. (102) (SQLExecDirectW)") [SQL: '\\nCREATE TABLE [[Tableau].[dbo].[Test table]] (\\n\\t[A] INTEGER NULL, \\n\\t[B] INTEGER NULL, \\n\\t[C] INTEGER NULL\\n)\\n\\n']

Sample dataframe:

    A  B  C
 0  0  0  0
 1  1  1  1
 2  2  2  2
 3  3  3  3
 4  4  4  4
 5  5  5  5
 6  6  6  6
 7  7  7  7

Can anyone please help solve the issue.

Answer 1

As commented, you referenced the database name and dbo schema for table name arg in pandas' to_sql call for '[Tableau].[dbo].[Test table]' and bracketed the names, rendering an error in the sqlAlchemy engine's CREATE TABLE SQL call. Since the current connection is the referenced database and the default schema is dbo , both qualifiers in name are not needed: `'[Tableau].[dbo]. '

Hence, in df.to_sql , simply reference the table name without bracket escaping:

df.to_sql(name='Test table', con=engine, index=False, if_exists='append')

which will create the needed table in the default dbo schema of the connected Tableau database:

CREATE TABLE [Test table] (
    [A] INTEGER NULL,
    [B] INTEGER NULL, 
    [C] INTEGER NULL
);

Answer 2

也许你可以在to_sql()引用表：

df.to_sql('test_table',con=engine, index=False, if_exists='append')