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Status Planned for future release
Workspace Connectivity
Created by Guest
Created on Jun 21, 2021

Redshift connector slow in IIS DataStage for Insert/Update

We have a use case in which we need to process records from IIS DataStage into an aws Redshift instance. When using the stage as currently implemented, we're seeing a throughput that averages 2-6 records a second which is far below the acceptable range when considering load sizes in the range of hundred of thousands. Additionally depending on your configuration, the connection to Redshift will eventually timeout after several hours. Currently the stage implements inserts and updates using a JDBC insert which is not a best practice according to aws documentation. Instead the stage should be using the Redshift COPY command to bulk load the finished data set which is far faster than inserts.

Needed by Date Sep 1, 2021
  • Guest
    Jul 11, 2022

    Virginie Grandhaye,

    Thank you for the update. We need the enhancement for RedShift connector stage performance issue, as soon as possible. We are recently upgraded our environment to IIS DataStage v11.7.1.3 - FixPack3 with Service Pack4 on RHEL 7.9. Please let us know, if there is a Patch that we can install to resolve the issue.

  • Guest
    Jan 20, 2022

    We are having the same performance issue using RedShift connector stage when inserting data into RedShift database from DataStage.


    When we use RedShift Connector stage, It's inserting 22 rows per second.


    When we reached IBM Support, they provided the documentation for JDBC Connector stage. After implementing suggested changes for JDBC, Job completed inserting 5 million rows in 16 minutes at a rate of 5377 rows per second. Performance slightly improved and but still it’s not acceptable. We used 500,000 as record count and 500,000 batch size in the JDBC connector stage when processing 5 million rows.


    Using the same set of data and Inserting 5 million rows into Netezza, job completed in less than a minute and processed 421,000 rows per second.


    Using JDBC Connector stage, when we try to read and extract 5 Million rows from RedShift Database, it's completed in less than 1 minute and processed around 350,000 rows per second.

    Using RedShift Connector stage, when we try to read and extract 5 Million rows from RedShift Database, it's completed in less than 1 minute and processed around 160,000 rows per second.

    Reading data from RedShift database using the RedShift connector stage or JDBC Connector stage, we do not see any issues.

    The issue we are having is only, when inserting data into RedShift database.

    We opened PMR with IBM Support : Case TS008045974.

    They stated that, it's an enhancement request and suggested to update here.

    Please let us know, if IBM is currently working on any enhancements to address the performance issues when inserting data into RedShift database from DataStage and when can we expect latest Patches for the RedShift connector and JDBC Connector stages.

  • Guest
    Jul 7, 2021

    Thanks for submitting this idea.

    After analysis, it appears that we could consider this item in the future if we get enough demand for that. Changing the status to "Future consideration".

    Thanks