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:
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,
Post an idea
Upvote ideas that matter most to you
Get feedback from the IBM team to refine your idea
Help IBM prioritize your ideas and requests
The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.
Receive notification on the decision
Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.
Add functionality to pass arguments to TEZ from BIBQ hive process
We would like to request changes in the IAjobs process to allow the passing of memory parameters from IA > TEZ.
We are currently experiencing OOM/GC errors in TEZ where the TEZ process gets killed and the IA job aborts.
Case # is TS002817173
Because we have such a large cluster and the queue that this application uses has many resources, it creates this unique issue. Hadoop Engineering and HDP have given this explanation:
The issue is about Tez engine calculating the number of splits which is dependent on the number of files in the table as well as the amount of resources available in the queue. Tez does the grouping based on these parameters and running into out of memory issues when it was running in a queue with more resources. The issue seems to be very specific to one query and not others.
Our hadoop engineering team recommends passing in the following parameters:
set tez.am.resource.memory.mb=10240; set tez.am.launch.cmd-opts=-Xmx8192m;
Our hadoop engineering team is applying a tactical solution where they will increase the AM memory allocations on the hive server url that the IA jobs use. This will also impact all BI jobs that use hive, so we want to limit the timeframe of using this approach.
Needed by Date
Nov 11, 2019
Sep 28, 2020
Thank you for your idea. All enhancements requests will be considered for IBM Watson Knowledge Catalog moving forward.
Do not place IBM confidential, company confidential, or personal information into any field.