this is my connection string and query: connection_string = ('DRIVER={Adaptive Server Anywhere 7.0};Commlinks=tcpip{ip=;Port=port};ENG=dbName;UID=uerID;PWD=PW') connection_url = URL.create( "sybase+pyodbc", query={"odbc_connect": connection_string} ) engine = create_engine(connection_url) conn = engine.connect()
res = conn.execute("select ").fetchall() table_df = pd.DataFrame(res) its an simple query.. Trainer Go schrieb am Dienstag, 7. Juni 2022 um 11:46:31 UTC+2: > Hello guys, > > Im executing 2 queries in my python program with sqlalchemy using the > pyodbc driver. > The database is a Adaptive SQL Anywhere Version 7 32 Bit. > > When im executing the queries in a DB UI it takes 5-6 seconds for both > together and when im using the same queries in my python programm it takes > 5-6 minutes instead of 6 seconds. What im doing wrong? Im new at this. > > would the connection string or query help? > And i only selecting some datas from the db and converting it into two > dataframes so i dont inserting, updating or deleting datas. > > I hope somebody can help me. > > Best regards Manuel > -- SQLAlchemy - The Python SQL Toolkit and Object Relational Mapper http://www.sqlalchemy.org/ To post example code, please provide an MCVE: Minimal, Complete, and Verifiable Example. See http://stackoverflow.com/help/mcve for a full description. --- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sqlalchemy+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sqlalchemy/59010ed7-0ee2-4704-978a-5539b877240bn%40googlegroups.com.