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These are high-level steps to creating a scalable batch solution in Usage Engine. The following example solution is made up of several profiles including the newly created Partition Profile (4.3) and Scalable Inter Workflow Profile (4.3), and two workflow types, Batch Scaling Collection and Batch Scaling Processing.

  1. Create a Partition Profile

  2. Create the Aggregation, Duplicate UDR, and Scalable Inter Workflow profiles and link the Partition Profile created in Step 1 to each.

  3. Create the workflows.

    • Batch Scaling Collection Workflow

    • Batch Scaling Processing Workflow(s) - can be one or a series of workflows.

Note!
You can include multiple Aggregation and Duplicate UDR agents within the same workflow. These agents can either share the same Partition Profile or use different Aggregation and Duplicate UDR Profiles. For instance, you might use different profiles if you need to apply a different ID field as the Key in storage.

  1. Decide how many maximum workflows should execute in parallel. Think about how you can evenly distribute your data between workers.

  1. Choose your scaling factor, this will be the MAX no. WFs that can effectively cooperate to process a batch. This is an important choice and will be difficult to change once your WFs are in production.

Note

Warning!
Try to pick a Max Scale Factor that is divisible by many other numbers, like 6 or 12. You need to ensure that it is high enough to handle the data coming in, but not so high that you will overload resources.

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  1. You must choose one or more fields in your UDRs that will be used to partition data. These fields may be based on a record group like a customer ID or an account number.

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  2. Create a Partition Profile where you define your Max Scale Factor and your partitioning fields.

  3. Create the Aggregation, Duplicate UDR, and Scalable Inter Workflow profiles and link the Partition Profile created in Step 2 to each.

  4. Create your workflows.

    • Standard WFs to prep data for scaling by sending it to scalable IWF forwarder

    • Scalable processing WFs start with a Scalable IWF Collector.

Note!
When creating a scalable workflow you need to add the Kafka profile in the execution tab of the workflow properties.

Note!
You can include multiple Aggregation and Duplicate UDR agents within the same workflow. These agents can either share the same Partition Profile or use different Aggregation and Duplicate UDR Profiles. For instance, you might use different profiles if you need to apply a different ID field as the Key in storage.

Scaling Batch Workflows

Usage Engine will scale out and in and re-balance scalable batch workflows automatically and you can schedule when to start a scale-out or scale-in.

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