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Partitioning does not work for data flows



On setting the partition key and running the data flow (based on a data set), data flows are not partitioned.

Error Messages

Not Applicable

Steps to Reproduce

  1. Create a data base table.
  2. Map the data set to a database table.
  3. Create a data flow based to read from the data set.

Root Cause

An issue in the custom application code or rules.


Here’s the explanation for the reported behavior:

Partitioning does not depend just on the number of nodes present but also on how powerful the hardware (CPU, memory, and disk IO) is to run multiple threads per node.
The data flow execution splits the amount of work to multiple assignments, and one of the factor is partition key. It is better to have more number of partitions.

The below formula limits the number of assignments created for better parallelism.

Number of Assignments = Number of nodes in the data flow cluster * Number of Configured Threads * 2.

Ensure the configuration (such as, number of assignments to process, number of nodes and threads) meets the above factors.

Suggest Edit

Published August 24, 2018 - Updated December 2, 2021

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