This topic describes how to connect to a Microsoft SQL Server (MSSQL) from Domino. You must have network connectivity between Impala and your Domino deployment.
Warning
| Domino does not officially support this method. We provide this information as a courtesy. |
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To interact with MSSQL databases from Python, Domino recommends the pymssql package.
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Use the following Dockerfile instruction to install pymssql in your environment.
This instruction assumes you already have pip installed.
USER root
RUN pip install pymssql
USER ubuntu
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. You must set up the following Domino environment variables to store secure information about your MSSQL connection.
* DB_SERVER
* DB_USERNAME
* DB_PASSWORD
+ See Secure Credential Storage to learn more about Domino environment variables.
+ See the pymssql documentation for detailed information about how to use the package. The following is an example of connecting to MSSQL with Python where the following is true:
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You have set up environment variables noted previously.
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The server hosts a database named
myData
with a table namedaddresses
.from os import getenv import pymssql server = getenv("DB_SERVER") user = getenv("DB_USERNAME") password = getenv("DB_PASSWORD") conn = pymssql.connect(server, user, password, "myData") cursor = conn.cursor() cursor.execute('SELECT * FROM addresses') row = cursor.fetchone() while row: print("ID=%d, Name=%s" % (row[0], row[1])) row = cursor.fetchone() conn.close()
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To interact with MSSQL databases from R, Domino recommends the RODBC library. You can use an alternative package if you’d like.
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Use the following Dockerfile instructions to add the MSSQL drivers to your Ubuntu 16.04 environment.
USER root RUN curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add - RUN curl https://packages.microsoft.com/config/ubuntu/16.04/prod.list > /etc/apt/sources.list.d/mssql-release.list RUN apt-get update RUN ACCEPT_EULA=Y apt-get install msodbcsql17 USER ubuntu
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See Microsoft’s documentation for the Dockerfile instructions to add the MSSQL drivers to your Domino-supported Ubuntu environment.
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See the RStudio RODBC documentation for information about how to use the package.
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After connecting to your Data Source, learn how to Use Data Sources.
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Share this Data Source with your collaborators.