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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in a Hadoop Environment
  5. Mapping Objects in a Hadoop Environment
  6. Mappings in the Native Environment
  7. Profiles
  8. Native Environment Optimization
  9. Data Type Reference
  10. Function Reference
  11. Parameter Reference

Transformation Support on the Blaze Engine

Transformation Support on the Blaze Engine

Some restrictions and guidelines apply to processing transformations on the Blaze engine.
For the latest information about transformation support on the Blaze engine, refer to the PDF documentation on Informatica Network. To access Informatica Network, visit https://network.informatica.com.
The following table describes rules and guidelines for processing transformations on the Blaze engine:
Transformation
Rules and Guidelines
Address Validator
The Address Validator transformation cannot generate a certification report.
Aggregator
Mapping validation fails in the following situations:
  • The transformation contains stateful variable ports.
  • The transformation contains unsupported functions in an expression.
Case Converter
Supported without restrictions.
Comparison
Supported without restrictions.
Data Processor
Mapping validation fails in the following situations:
  • The transformation has more than one input port.
  • The input port is not a binary port.
  • The transformation is not enabled for partitioning.
Decision
Supported without restrictions.
Expression
Mapping validation fails in the following situations:
  • The transformation contains stateful variable ports.
  • The transformation contains unsupported functions in an expression.
An Expression transformation with a user-defined function returns a null value for rows that have an exception error in the function.
Filter
Supported without restrictions.
Java
Supported without restrictions.
Joiner
Mapping validation fails in the following situations:
  • The transformation contains an inequality join.
Key Generator
Supported without restrictions.
Labeler
Supported without restrictions.
Lookup
Mapping validation fails in the following situations:
  • The cache is configured to be shared, named, persistent, dynamic, or uncached. The cache must be a static cache.
  • The lookup is a relational Hive data source.
Match
Mapping validation fails in the following situations:
  • The mapping specifies an identity match type.
A Match transformation generates cluster ID values differently in native and Hadoop environments. In a Hadoop environment, the transformation appends a group ID value to the cluster ID.
Merge
Supported without restrictions.
Normalizer
Supported without restrictions.
Parser
Supported without restrictions.
Rank
Supported without restrictions.
Router
Supported without restrictions.
Sequence Generator
Mapping validation fails in the following situations:
  • The reset property for the transformation is enabled.
If you want the Data Integration Service to reset the sequence data object to the start value for each mapping run, then you must run the mapping in the native environment.
Sorter
Supported without restrictions.
Standardizer
Supported without restrictions.
Union
Supported without restrictions.
Weighted Average
Supported without restrictions.
Transformations not listed in this table are not supported.


Updated July 03, 2018