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IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


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Specific links you will want to bookmark for future use

Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Employees should enter Ideas at https://ideas.ibm.com


Status Future consideration
Workspace Spectrum Conductor
Components Version 2.4.1
Created by Guest
Created on Sep 21, 2020

Accessing Dataconnector in conductor using python from GPU server

Hello Team,

we have setup a connector in GPU to access HDFS from our CPU cluster. However, i am able to access the file in HDFS using spark but not using python. I would like to understand how to access HDFS using python commands.

Connector Name: CMOR2-HDFS
df = spark.read.csv('/Manjunath/text.csv')
using above comman I am able to access HDFS but i need to access it using python code.

CASE Update by IBM:
I have reached IBM engineering team and got confirmation that we have added special code within Conductor Spark to support data connector. If Spark is not used, this part of functionality will be missing for data connector. Therefore, in pure python, you shall not be able to get data connector features. If you do need this, we suggest you log RFE for IBM engineering team to evaluate the possibility to implement it. Thanks.