Dataframe to sql without Sql Alchemy engine

Question

i have a dataframe

id    value     name
1      100       sam
2      766       abc
3      234       qqq
4      435       ppp
5      345       mmm

i want to save this table into sql server database into table 'tab1'

i can do df.to_sql() but my program hangs when i'm doing this.(im using django).

is there any other way to save dataframe to sql server without using sql alchemy engine?

Can you post a corresponding code for creating SQL Alchemy connection and `DataFrame.to_sql` call? — MaxU - stop genocide of UA, Dec 26 '17 at 13:15
does this have to be be a pandas-only answer? Would converting the dataframe into another data structure and send it to SQL another way be viable? — MattR, Dec 26 '17 at 15:43
@MaxU i created a function where i passed parameters and returned engine object. `sql_engine = create_engine("mssql+pyodbc://" + str(uid) + ":" + str(pwd) + "@" + str(driver)) return sql_engine.connect()` — Shubham R, Dec 27 '17 at 05:15
@MattR Can be converted from pandas to other data structure. — Shubham R, Dec 27 '17 at 05:16

score 0 · Answer 1 · edited Jun 20 '20 at 09:12

0

You may try to avoid using SQL Alchemy, but it's not supported (deprecated) by Pandas.

Here is an excerpt from the pd.to_sql docstring:

con : SQLAlchemy engine or DBAPI2 connection (legacy mode)

Using SQLAlchemy makes it possible to use any DB supported by that

library. If a DBAPI2 object, only sqlite3 is supported.

edited Jun 20 '20 at 09:12

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answered Dec 26 '17 at 13:13

MaxU - stop genocide of UA

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Dataframe to sql without Sql Alchemy engine

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