Table of Contents

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  1. Preface
  2. Introduction to Informatica Data Engineering Integration
  3. Mappings
  4. Mapping Optimization
  5. Sources
  6. Targets
  7. Transformations
  8. Python Transformation
  9. Data Preview
  10. Cluster Workflows
  11. Profiles
  12. Monitoring
  13. Hierarchical Data Processing
  14. Hierarchical Data Processing Configuration
  15. Hierarchical Data Processing with Schema Changes
  16. Intelligent Structure Models
  17. Blockchain
  18. Stateful Computing
  19. Appendix A: Connections Reference
  20. Appendix B: Data Type Reference
  21. Appendix C: Function Reference

Function Support in a Non-native Environment

Function Support in a Non-native Environment

Some Informatica transformation language functions that are valid in the native environment might be restricted or unsupported in a non-native environment, such as Hadoop or Databricks. Functions not listed in this table are supported on all engines without restrictions.
When you push a mapping to a non-native environment, the engine that processes the mapping uses a set of rules different from the Data Integration Service. As a result, the mapping results can vary based on the rules that the engine uses.
The following table lists functions and levels of support for functions on different engines in the non-native environments.
Function
Blaze Engine
Spark Engine
Databricks Spark
ABORT
Not supported
Not supported
Not supported
ANY
Supported
Supported
Supported
ARRAY
Not supported
Supported
Supported
AVG
Supported
Supported
Supported
CAST
Not supported
Supported
Supported
COLLECT_LIST
Not supported
Supported
Supported
COLLECT_MAP
Not supported
Supported
Supported
CONCAT_ARRAY
Not supported
Supported
Supported
COUNT
Supported
Supported
Supported
CREATE_TIMESTAMP_TZ
Supported
Not supported
Not supported
CUME
Not supported
Not supported
Not supported
DECOMPRESS
Supported
Supported
Supported
ERROR
Not supported
Not supported
Not supported
FIRST
Not supported
Not supported
Not supported
GET_TIMEZONE
Supported
Not supported
Not supported
GET_TIMESTAMP
Supported
Not supported
Not supported
LAST
Not supported
Not supported
Not supported
LAG
Not supported
Supported
Supported
LEAD
Not supported
Supported
Supported
MAP
Not supported
Supported
Supported
MAP_FROM_ARRAYS
Not supported
Supported
Supported
MAP_KEYS
Not supported
Supported
Supported
MAP_VALUES
Not supported
Supported
Supported
MAX (Dates)
Supported
Supported
Supported
MAX (Numbers)
Supported
Supported
Supported
MAX (String)
Supported
Supported
Supported
METAPHONE
Supported
Supported
Supported
MIN (Dates)
Supported
Supported
Supported
MIN (Numbers)
Supported
Supported
Supported
MIN (String)
Supported
Supported
Supported
MOVINGAVG
Not supported
Not supported
Not supported
MOVINGSUM
Not supported
Not supported
Not supported
PARSE_JSON
Not supported
Supported
Not supported
PARSE_XML
Not supported
Supported
Not supported
PERCENTILE
Supported
Supported
Supported
RESPEC
Not supported
Supported
Supported
SIZE
Not supported
Supported
Supported
STDDEV
Supported
Supported
Supported
STRUCT
Not supported
Supported
Supported
STRUCT_AS
Not supported
Supported
Supported
SUM
Supported
Supported
Supported
SYSTIMESTAMP
Supported
Supported
Supported
TO_DATE
Supported
Supported
Supported
TO_DECIMAL
Supported
Supported
Supported
TO_DECIMAL38
Supported
Supported
Supported
TO_TIMESTAMP_TZ
Supported
Not supported
Not supported
UUID4
Supported
Supported
Supported
UUID_UNPARSE
Supported
Supported
Supported
VARIANCE
Supported
Supported
Supported
For more information, see the
Informatica Transformation Language Reference
.


Updated September 28, 2020