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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 Data & AI Roadmaps (http://ibm.biz/Data-and-AI-Roadmaps) - Use this site to view roadmaps for Data & AI products.

IBM Employees should enter Ideas at https://hybridcloudunit-internal.ideas.aha.io/


Status Not under consideration
Workspace Db2
Created by Guest
Created on Feb 10, 2015

Parallel I/O work on indexes for SQL Inserts.(RIMS)

it would be wonderful to have parallel I/O work on indexes for SQL Inserts. For instance, a table with 6 indexes, A SQL insert is sent to DB2 from an app program,,, The Insert takes place on the data page, now the RID is known and can be used in parallel work on updating the index entries. Each index could have a parallel I/O task or split the work based on some sort of costing. Rather than each index being updated sequentially, as it is done today under version 7 at SF, the work is done in parallel, not having to wait on each index being updated before proceeding to the next index. A table with numerous indexes and a large index tree structure takes lots of sequential work to complete an insert. Parallel work would really Kick IT up a notch! Currently SELECT statements are capable of achieving parallel I/O and/or CPU. Inserts can benefit from similar parallel concepts & technology too. Please pass this on and let me know if there are questions.I see this as being a excellent way to increase SQL Insert performance on some of our newer Auto Pricing OLTP applications here at SF.