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  • Data Engineering Integration H2L
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  1. Abstract
  2. Supported Versions
  3. Tuning and Sizing Guidelines for Data Engineering Integration (10.4.x)

Tuning and Sizing Guidelines for Data Engineering Integration (10.4.x)

Tuning and Sizing Guidelines for Data Engineering Integration (10.4.x)

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Data Processor Transformation

Data Processor Transformation

Consider the following best practices for mappings that contain a Data Processor transformation:
  • For mappings that run on the Blaze engine, it is required to enable partitioning for Data Processor transformations. To enable partitioning, perform the following steps:
    1. In the Developer tool, open the mapping and select the Data Processor transformation.
    2. In the
      Properties
       view, click the
      Advanced
       tab.
    3. Select
      Enable partitioning for Data Processor transformations
      .
      The following image shows the Advanced tab of a Data Processor transformation:
  • When a mapping with a Data Processor transformation meets all of the following conditions, the Blaze engine processes the entire mapping in a single tasklet:
    • The mapping source file is of a non-splittable input format.
    • The transformation contains multiple output groups.
    The Data Processor transformation might output a higher data volume than the source. For such scenarios, configure the Blaze engine to first stage the data generated by the transformation at each output group.
    The following image shows a mapping with a Data Processor transformation with multiple output groups:
    To stage data at every output group, set the following mapping run-time property in the Developer tool:
    Parameter
    Value
    Blaze.StageOutputGroupDataForInstances
    The name of the Data Processor transformation instance.
    When the Blaze engine is configured to first stage the data, it performs the following tasks:
    • Re-partitions the data.
    • Processes the staged data.
    • Creates the correct number of tasklets based on the staged data volume.
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