Develop Reference

“Associated statement not prepared” caused by pypyodc?

What - Error Message (‘HY007’, [HY007][ODBC SQL Server Driver] Associated statement Is not prepared.
I downloaded ODBC to better diagnose this error based off other posts, however it is still throwing the same error
What is the actually error here and what is the way around it?
Import requests
Import pandas as pd
Import pypyodbc
Import matplotlib.pypot as ply
Conn1 = pypyodbc.connect(“Driver={SQL Server};” “Server = DESKTOP-KOOxxx;” “Database = Horsesxx;” “Trusted_Connection=yes;”, autocommit=True)
Mycursor = Conn1.cursor()
Mycursor.execute(‘Drop table #temptable SELECT * into #temptable FROM (SELECT HorseName, DayCalender FROM horses WHERE Place = 1) AS T1 Inner Join (SELECT runnerName, day, WIN_ODDS_BSP FROM betfairdata) AS T3 ON T1.HorseName = T3.runnerName AND T1.DayCalender = T3.day SELECT WIN_ODDS_BSP FROM #temptable)
Conn1.commit()
This statement works within SQL yet not within VS
Statement also works if I drop the temp table components

Error while trying to execute the query in Denodo using Python SQLAlchemy

I'm trying to get a table from Denodo using Python and sqlalchemy library. That's my code
from sqlalchemy import create_engine
import os
sql = """SELECT * FROM test_table LIMIT 10 """
engine = create_engine('mssql+pyodbc://DenodoODBC', encoding='utf-8')
con = engine.connect().connection
cursor = con.cursor()
cursor.execute(sql)
df = cursor.fetchall()
cursor.close()
con.close()
When I'm trying to run it for the first time I get the following error.
DBAPIError: (pyodbc.Error) (' \x10#', "[ \x10#] ERROR: Function 'schema_name' with arity 0 not found\njava.sql.SQLException: Function 'schema_name' with arity 0 not found;\nError while executing the query (7) (SQLExecDirectW)")
[SQL: SELECT schema_name()]
I think the problem might be with create_engine because when I'm trying to run the code for the second time without creating an engine again, everything is fine.
I hope somebody can explain me what is going on. Thanks :)

"No results. Previous SQL was not a query" when trying to query DeltaDNA with Python

I'm currently trying to query a deltadna database. Their Direct SQL Access guide states that any PostgreSQL ODBC compliant tools should be able to connect without issue. Using the guide, I set up an ODBC data source in windows
I have tried adding Set nocount on, changed various formats for the connection string, changed the table name to be (account).(system).(tablename), all to no avail. The simple query works in Excel and I have cross referenced with how Excel formats everything as well, so it is all the more strange that I get the no query problem.
import pyodbc
conn_str = 'DSN=name'
query1 = 'select eventName from table_name limit 5'
conn = pyodbc.connect(conn_str)
conn.setdecoding(pyodbc.SQL_CHAR,encoding='utf-8')
query1_cursor = conn.cursor().execute(query1)
row = query1_cursor.fetchone()
print(row)
Result is ProgrammingError: No results. Previous SQL was not a query.

Try it like this:
import pyodbc
conn_str = 'DSN=name'
query1 = 'select eventName from table_name limit 5'
conn = pyodbc.connect(conn_str)
conn.setdecoding(pyodbc.SQL_CHAR,encoding='utf-8')
query1_cursor = conn.cursor()
query1_cursor.execute(query1)
row = query1_cursor.fetchone()
print(row)
You can't do the cursor declaration and execution in the same row. Since then your query1_cursor variable will point to a cursor object which hasn't executed any query.

Python mysql connector with multiple statements

I'm trying to run a SQL query through mysql.connector that requires a SET command in order to query a specific table:
import mysql.connector
import pandas as pd
cnx = mysql.connector.connect(host=ip,
port=port,
user=user,
passwd=pwd,
database="")
sql="""SET variable='Test';
SELECT * FROM table """
df = pd.read_sql(sql, cnx)
when I run this I get the error "Use multi=True when executing multiple statements". But where do I put multi=True?

Pass the parameters as a dictionary into the params argument should do the trick, documentation here:
pd.read_sql(sql, cnx, params={'multi': True})
The parameters are passed to the underlying database driver.

after many hours of experimenting, i figured out how do to this. forgive me if this is not the most succinct way, but the best i could come up with-
import mysql.connector
import pandas as pd
cnx = mysql.connector.connect(host=ip,
port=port,
user=user,
passwd=pwd,
database="")
sql1="SET variable='Test';"
sql2="""SELECT * FROM table """
cursor=cnx.cursor()
cursor.execute(sql1)
cursor.close()
df = pd.read_sql(sql2, cnx)

Syntax error when creating table in Vertica with PYODBC

I am trying to load a big list of sql queries into a table in Vertica using PYODBC. Here's my code:
tablename = DVXTEMP.my_table_name
sql = my_sql_query.strip().strip(';')
samplesize = 1000
createstring = 'CREATE TABLE %s AS %s \n limit %s;' %(tablename, sql, samplesize)
cursor.execute(createstring)
when I print createstring and run it in Toad, it works fine. when I try to execute it in pyodbc, it gives me the following error:
'Syntax error at or near "DVXTEMP" at character 1\n (4856) (SQLExecDirectW)'
We are using Vertica Analytic Database v7.1.2-6
Any ideas what might be causing this?
Thanks

1) did you import pyodbc?
2) did you define "cursor" from "pyodbc.connect"?
import pyodbc
DB = '[string for dbfile]'
DRV = '[string of which driver you are going to use]'
con = pyodbc.connect('DRIVER={};DBQ={}'.format(DRV,DB))
cursor = con.cursor()
##build SQL code and execute as you have done
Try SQL commands after you can connect without an error.
3) I use pyodbc for mdb files (MS Access) and some of my queries will not run unless I put single quotes outside double quotes on table/field names.
mytbl_1 = "mytbl"
SQL = 'SELECT * FROM ' + mytbl_1
print SQL
print result -> SELECT * FROM mytbl
(this fails)
mytbl_2 = '"mytbl"' #single quotes outside of double quote
SQL = 'SELECT * FROM ' + mytbl_2
print SQL
print result -> SELECT * FROM "mytbl"
(this string gets passed w/o error works for me with MDB files)