I used to use Python pyodbc to write data to sql server Express, but Express reached 10B max disk, so I have to switch to Microsoft Azure SQL Database, I encountered below error
ProgrammingError: (pyodbc.ProgrammingError) ('42000', "[42000] [Microsoft][ODBC SQL Server Driver][SQL Server]Reference to database and/or server name in 'master.dbo.syscharsets' is not supported in this version of SQL Server.
the code I using
conn = pyodbc.connect('DRIVER={SQL Server};SERVER=192.111.111;DATABASE=MYDB;UID=' + keyring.get_password("local", "UID") + ';PWD=' + keyring.get_password("local", "PWD") + ';')
cursor = conn.cursor()
for index, row in df_add.iterrows():
cursor.execute("INSERT INTO mytable([ID],[CreateDate]) values(?,?)",row['ID'], row['CreateDate'])
conn.commit()
cursor.close()
conn.close()
thanks for the Microsoft team's answer, here's the step.
1.download the new driver and install in your computer
https://learn.microsoft.com/en-us/sql/connect/odbc/download-odbc-driver-for-sql-server?view=sql-server-ver16
modify this part in my code , reference python code to connect from Microsoft
DRIVER={ODBC Driver 18 for SQL Server}
Related
I am trying to move from a Windows-based pyodbc (Using the SAP Adaptive Server Enterprise 16.0 driver) to Red Hat Linux 7.9-based sybpydb solution.
Current pyodbc solution:
connection = pyodbc.connect(
"Driver={Adaptive Server Enterprise};NetworkAddress=<servername,serverport>;
Database=<database>;UID={<username>};PWD={<password>};#pool_size=10;
stmtquery_timeout=1200;#login_timeout=30;#connection_timeout=30")
df = pandas.read_sql_query("exec <storedproc_name>")
connection.close()
I am trying to replicate this under linux using the sybclient-16.0.3-2 package.
import sybpydb
connection = sybpydb.connect(user=username, password=password, servername=servername,
dsn="HostName=<hostname>;Database=<database>;LoginTimeout=30;Timeout=30")
curr = connection.cursor()
result = cursor.execute("exec <storedproc_name>")
Passing #smtmquery_timeout=1200 causes the connection to fail. But without this, the call to the stored proc will timeout. I can't see anything in the documentation about this.
Thanks in advance
Please refer to the document:
https://help.sap.com/docs/SAP_ASE_SDK/a1576559612d4e39886fc0ad4e093074/b0fd2586bbf910148c6ac638f6594153.html
There is no attribute: smtmquery_timeout
If you are using "sybpydb", you can use the openclient sdk directly instead of the ODBC style configuration for the connection.
I'm relatively new to working with remote IBM databases. I am connecting to a remote IBM AS400 database using an ODBC Python3 connector in an Anaconda virtual environment on Windows 10. My connection that successfully works is:
import pyodbc
connection = pyodbc.connect(
Driver='{iSeries Access ODBC Driver}',
System='<host>',
database='<database>',
uid='<username>',
pwd='<password>')
c1 = connection.cursor()
print('Connection established')
After connecting I run this command to see the list of tables:
c1.execute("select table_name from sysibm.sqltables")
And I see all the tables that I would need to query. But then when I try to query the contents of a specific table using:
c1.execute("select * from <database>.<table> LIMIT 100")
I get an error:
ProgrammingError: ('42S02', '[42S02] [IBM][System i Access ODBC Driver][DB2 for i5/OS]SQL0204 - <table> der Art *FILE in <database> nicht gefunden. (-204) (SQLExecDirectW)')
(It's in German, it means table of type *FILE in database not found)
(And I'm not using angle brackets, it's just for demonstration)
But a software like DBeaver returns valid data for both of them, for the tables list query and the specific table query. It's only python that gives the error.
Can anyone point out what could I be doing wrong? Or what can I run to pinpoint the problem?
<database>.<table> is not correct.
On Db2 you have
database
-schema
--table
you should be using <schema>.<table> as the database has been specified in the connection string.
<database>.<schema>.<table> is supported when connecting to a remote database from the "local" one...but only for basic selects. Db2 for IBM i doesn't support for example joining between a "local" and remote table.
I have trouble connecting to the Azure postgres database from python. I am following the guide here - https://learn.microsoft.com/cs-cz/azure/postgresql/connect-python
I have basically the same code for setting up the connection.
But the psycopg2 and SQLalchemy throw me the same error:
OperationalError: server closed the connection unexpectedly
This probably means the server terminated abnormally
before or while processing the request.
I am able to connect to the instance by other client tools like dbeaver but from python it does not work.
When I investigate in Postgres logs I can see that the server actually authorized the connection but the next line says
could not receive data from client: An existing connection was forcibly closed by the remote host.
Python is 3.7
psycopg's version is 2.8.5
Azure Postgres region is in West Europe
Does someone has any suggestion on what should I try to make it work?
Thank you!
EDIT:
The issue resolved itself. I tried the same setup a few days later and it started working. Might have been something wrong with the Azure West Europe.
I had this issue too. I think I read somewhere (I forget where) that Azure has an issue with the # you have to for the username (user#serverName).
I created variables and an f-string and then it worked OK.
import sqlalchemy
username = 'user#server_name'
password = 'PassWord!'
host = 'server_name.postgres.database.azure.com'
database = 'your_database'
conn_str = f'postgresql+psycopg2://{username}:{password}#{host}/{database}'
After that:
engine = sqlalchemy.create_engine(conn_str, pool_pre_ping=True)
conn = engine.connect()
Test it with a simple SQL statement.
sql = 'SELECT * FROM public.some_table;'
results = conn.engine.execute(sql)
This was a connection in UK South. Before that it did complain about the format of the username having to use #, although the username was correct, as tested from the command line with PSQL and another SQL client.
when trying to connecnt to my local sql server i keep on getting the following error:
pyodbc.OperationalError: ('HYT00', '[HYT00] [Microsoft][ODBC Driver 17 for SQL Server]Login timeout expired (0) (SQLDriverConnect)')
this is my code:
import pyodbc
conn = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER=127.0.0.1;port=32782;DATABASE=db;UID=db;PWD=db;Trusted_Connection=yes')
cursor = conn.cursor()
cursor.execute('SELECT * FROM db.tt_content LIMIT 3')
for row in cursor:
print(row)
Note: this sql server inside a ddev container
Note2: i tried SERVER=127.0.0.1,32782 and got the same result
So it turnsout that my database is a mariaDB so i used mysql.connector instead and it connected
I have written a JAVA SPRING RESTFUL web-service to query SQL server 2008 database using sqljdbc4 driver. It works fine from windows machine, but when I deploy the code to a Linux box I am not be to execute both select and insert queries.
I tried using “SET NOCOUNT ON”, but no luck.
Error while executing select query
org.springframework.jdbc.UncategorizedSQLException: StatementCallback; uncategorized SQLException for SQL [ Select statement ………. );]; SQL state [null]; error code [0]; The statement did not return a result set.; nested exception is com.microsoft.sqlserver.jdbc.SQLServerException: The statement did not return a result set.
Error while executing insert query
org.springframework.dao.DataAccessResourceFailureException: PreparedStatementCallback; SQL [Insert into log(id, datetime) values(?,?)]; SQL Server did not return a response. The connection has been closed.; nested exception is com.microsoft.sqlserver.jdbc.SQLServerException: SQL Server did not return a response. The connection has been closed.
JDBC driver POM dependency.
com.microsoft.sqlserver
sqljdbc4
4.0
I tried some other stuff that I read on google but no luck. If some can point me to a right direction, I would really appreciate help.
Try using jtds driver instead of microsoft jdbc driver.