Skip to Main Content
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).


Shape the future of IBM!

We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:


Search existing ideas

Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,


Post your ideas

Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,

  1. Post an idea

  2. Upvote ideas that matter most to you

  3. Get feedback from the IBM team to refine your idea


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 Under review
Workspace Analytics Engine
Created by Guest
Created on Aug 23, 2024

MDE Job is failed with error "Deployment not found with given id"

We found the issue related to the Spark/MDE blocker issue.

  • MDE job triggered a spark-runtime deployment first
  • The spark-runtime deployment then triggered corresponding spark-master/worker pods
  • If the 1st spark-master/worker pod does not come up within 10 seconds; the Spark process terminates the deployment assuming it is not healthy.

There are checks in the Spark process to validate the above logic.

We increased the number of retries from 2 to 6 before the Spark process that decided for deployment health.

We ran several tests (50 and 5 assets sanity jobs) after applying this change on Stage and MDE jobs are running now.

 

IBM action item:

A Spark internal enhancement was created (https://github.ibm.com/hummingbird/tracker/issues/5558) and planned to be addressed in v.5.0.3.

5558 - Allow users to patch configurations in spark-hb-deployment-properties

Needed By Week