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


Add a new idea Subscribe
Status Submitted
Workspace DataStage
Created by Guest
Created on Jul 1, 2024

RELATED IDEAS

Improve the performance of Teradata Connector when doing BULK read

Teradata bulk export of ~7 million rows from Datastage using TD connector takes over ~30 minutes as compared on using TPT export (that is also executed on the DS engine) which only took around ~3-4 minutes.

The timing differences are significant, we would like to know if this is a known issue and if there's any settings that we can tune in TD connector so that the performance can be at least at par when exporting data via TPT scripts.

TS015371006_Tes...
TS015371006_TestResult_with_wo_RCP_50M_rows_in_vchar5.docx
Open full size
TS015371006_TestResult_with_wo_RCP_50M_rows_in_vchar5.docx
Needed By Yesterday (Let's go already!)
  • Guest
    Reply
    |     Jul 1, 2024

    As advise by IBM Support "But even in Bulk Mode (ie TPT API) TDConnector when READING only uses

    ncr::teradata::client::API::Connection::GetRow as opposes to ncr::teradata::client::API::Connection::GetBuffer.

    This explain the big differences in performance when average record size is small and negligible differences when record size is big. Network packet with standard MTU is 1500 bytes.

    At this stage, I can't see any configuration that we can do to improve the performance of TD Connector Bulk Read unless we switch to GetBuffer."

     

    Will there be future plans for TD connector stage to use 'GetBuffer' when doing bulk read

By clicking the "Post Comment" or "Submit Idea" button, you are agreeing to the IBM Ideas Portal Terms of Use.
Do not place IBM confidential, company confidential, or personal information into any field.