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English
  • Data Engineering Integration 10.2.1
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference

Big Data Management User Guide

Big Data Management User Guide

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Function Support in the Hadoop Environment

Function Support in the Hadoop Environment

Some Informatica transformation language functions that are valid in the native environment might be restricted or unsupported in the Hadoop environment. Functions not listed in this table are supported on all engines without restrictions.
When you push a mapping to the Hadoop 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 Hadoop environment.
Function
Blaze Engine
Spark Engine
Hive Engine
ABORT
Not supported
Not supported
Not supported
ANY
Supported
Supported
Supported
ARRAY
Not supported
Supported
Not supported
AVG
Supported
Supported
Supported
CAST
Not supported
Supported
Not supported
COLLECT_LIST
Not supported
Supported
Not supported
COLLECT_MAP
Not supported
Supported
Not supported
CONCAT_ARRAY
Not supported
Supported
Not 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
Not supported
LEAD
Not supported
Supported
Not supported
MAP
Not supported
Supported
Not supported
MAP_FROM_ARRAYS
Not supported
Supported
Not supported
MAP_KEYS
Not supported
Supported
Not supported
MAP_VALUES
Not supported
Supported
Not supported
MAX (Dates)
Supported
Supported
Not supported
MAX (Numbers)
Supported
Supported
Supported
MAX (String)
Supported
Supported
Supported
METAPHONE
Supported
Supported
Supported
MIN (Dates)
Supported
Supported
Not 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
PERCENTILE
Supported
Supported
Supported
RESPEC
Not supported
Supported
Not supported
SIZE
Not supported
Supported
Not supported
STDDEV
Supported
Supported
Supported
STRUCT
Not supported
Supported
Not supported
STRUCT_AS
Not supported
Supported
Not 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
Supported
UUID4
Supported
Supported
Supported
UUID_UNPARSE
Supported
Supported
Supported
VARIANCE
Supported
Supported
Supported
For more information, see the
Informatica Transformation Language Reference
.
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