Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Connections
  17. Data Type Reference
  18. Function Reference

Map Data Type

Map Data Type

A map data type represents an unordered collection of key-value pair elements. A map element is a key and value pair that maps one thing to another. To pass, generate, or process map data, assign map data type to ports.
The key must be of a primitive data type. The value can be of a primitive or complex data type. A map data type with values of a complex data type is a nested map. A nested map can contain up to three levels of nesting of map data type.
The transformation language includes subscript operator to access map elements. It also includes functions to generate and process map data.

Format

map <primitive_type -> data_type>
The following table describes the arguments for this data type:
Argument
Description
map
Name of the map column or port.
primitive_type
Data type of the key in a map element.
The key must be of a primitive data type.
data_type
Data type of the value in a map element.
The value can be of a primitive or complex data type.

Map Example

The following map column represents map data with an integer key and a string value to map customer ids with customer names:
custid_name <integer -> string>
The following example shows data values for the custid_name column:
custid_name
<26745 -> 'John Baer'>
<56743 -> 'Bobbi Apperley'>
<32879 -> 'Linda Bender'>


Updated January 20, 2020