Reputation: 73
I am trying to connect to HANA in order to pull some metadata in a pandas dataframe. There are lots of mixed approaches and I couldn't find anything concrete.
All I have is:
The admin has provided all the read access to the required account for the specific tables.
What is the quickest way to get this done? I do not have the option of installing anything on SAPs site.
I have tried the below snippets but I get the error 'target machine actively refused it' and to debug at SAPs end is a lost cause. Thank you in advance.
import pyhdb
connection = pyhdb.connect(
host="123.com",
port=123,
user="user",
password="pswrd"
)
cursor = connection.cursor()
cursor.execute("SELECT * FROM Tablename")
cursor.fetchone()
connection.close()
and
from hdbcli import dbapi
conn = dbapi.connect(
address="123.com",
port=123,
user="user",
password="pswrd"
)
cursor = conn.cursor()
Upvotes: 3
Views: 11416
Reputation: 277
To connect to hana DB :
from hdbcli import dbapi
conn = dbapi.connect(
address="serverhost",
port=39015,
user="UserName",
password="Password",
databasename='DBNAME'
)
Make sure you enter the correct port number
To get the sql results in pandas dataframe:
query = 'select * from table'
df = pd.read_sql_query(query, conn)
df.head()
Upvotes: 3
Reputation: 10396
Given your server address and port examples, I'm not sure you got the right idea for how to connect to a HANA database.
Since you want to use pandas it is probably a good idea to have a look at the SAP HANA Machine Learning library for Python.
Check the tutorial blog post for this: https://blogs.sap.com/2019/11/05/hands-on-tutorial-machine-learning-push-down-to-sap-hana-with-python/
To do any of this, there is no need to install or debug anything on the HANA system.
Upvotes: 2