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IBM Data and AI Ideas Portal for Customers


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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:

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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,

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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.

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Additional Information

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Status Delivered
Workspace DataStage
Created by Guest
Created on Sep 14, 2018

Datastage 11.7.1 Snowflake Connector Upgrades Required

We have being trialling the Snowflake Connector and there's some functionality that has not yet been implemented into Snowflake Connector which greatly impacts it's performance.

1. The use TWT's - The lack of this functionality limits performance of Update/Delete modes within the connector (Snowflake quite literally processes them sequentially!)
2. There's no KEY_COLUMNS attribute within the Snowflake connector. This means we will have to rewrite jobs to no longer use generic jobs. This functionality that was previously possible with the Netezza Connector by passing in a #pKEY_COLUMNS# parameter.

TS001330967 for reference
  • Guest
    Apr 10, 2019

    Lack of temporary tables is a serious impediment in adopting DataStage Snowflake connecor as a mainstream solution. We are considering Python or Alooma instead of DataStage.