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Data Shaper
Data Shaper
  • 🚀GETTING STARTED
    • What is Primeur Data Shaper
      • What is the Data Shaper Designer
      • What is the Data Shaper Server
      • What is the Data Shaper Cluster
    • How does the Data Shaper Designer work
      • Designer Views and Graphs
      • Data Shaper Graphs
      • Designer Projects and Sandboxes
      • Data Shaper Designer Reference
    • How do the Data Shaper Server and Cluster work
      • Data Shaper Server and Cluster
      • Data Shaper Server Reference
    • VFS Graph Components
      • DataOneFileDescriptor (DOFD) metadata
      • Passing parameters from Data One Contract to Data Shaper graph
      • Inheriting Data One context attributes in Data Shaper graph
  • DATA SHAPER DESIGNER
    • Configuration
      • Runtime configuration
        • Logging
        • Master Password
        • User Classpath
      • Data Shaper Server Integration
      • Execution monitoring
      • Java configuration
      • Engine configuration
      • Refresh Operation
    • Designer User Interface
      • Graph Editor with Palette of Components
      • Project Explorer Pane
      • Outline Pane
      • Tabs Pane
      • Execution Tab
      • Keyboard Shortcuts
    • Projects
      • Creating Data Shaper projects
      • Converting Data Shaper projects
      • Structure of Data Shaper projects
      • Versioning of server project content
      • Working with Data Shaper Server Projects
      • Project configuration
    • Graphs
      • Creating an empty graph
      • Creating a simple graph
        • Placing Components
        • Placing Components from Palette
        • Connecting Components with Edges
    • Execution
      • Successful Graph Execution
      • Run configuration
      • Connecting to a running job
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    • Common dialogs
      • URL file dialog
      • Edit Value dialog
      • Open Type dialog
    • Import
      • Import Data Shaper projects
      • Import from Data Shaper server sandbox
      • Import graphs
      • Import metadata
    • Export
      • Export graphs to HTML
      • Export to Data Shaper Server sandbox
      • Export image
      • Export Project as Library
    • Graph tracking
      • Changing record count font size
    • Search functionality
    • Working with Data Shaper server
      • Data Shaper server project basic principles
      • Connecting via HTTP
      • Connecting via HTTPS
      • Connecting via Proxy Server
    • Graph components
      • Adding components
      • Finding components
      • Edit component dialog box
      • Enable/disable component
      • Passing data through disabled component
      • Common properties of components
      • Specific attribute types
      • Metadata templates
    • Edges
      • Connecting Components with Edges
      • Types of Edges
      • Assigning Metadata to Edges
      • Colors of Edges
      • Debugging Edges
      • Edge Memory Allocation
    • Metadata
      • Records and Fields
        • Record Types
        • Data Types in Metadata
        • Data Formats
        • Locale and Locale Sensitivity
        • Time Zone
        • Autofilling Functions
      • Metadata Types
        • Internal Metadata
        • External (Shared) Metadata
        • SQL Query Metadata
        • Reading Metadata from Special Sources
      • Auto-propagated Metadata
        • Sources of Auto-Propagated Metadata
        • Explicitly Propagated Metadata
        • Priorities of Metadata
        • Propagation of SQL Query Metadata
      • Creating Metadata
        • Extracting Metadata from a Flat File
        • Extracting Metadata from an XLS(X) File
        • Extracting Metadata from a Database
        • Extracting Metadata from a DBase File
        • Extracting Metadata from Salesforce
        • SQL Query Metadata
        • User Defined Metadata
      • Merging Existing Metadata
      • Creating Database Table from Metadata and Database Connection
      • Metadata Editor
        • Opening Metadata Editor
        • Basics of Metadata Editor
        • Record Pane
        • Field Name vs. Label vs. Description
        • Details Pane
      • Changing and Defining Delimiters
      • Editing Metadata in the Source Code
      • Multi-value Fields
        • Lists and Maps Support in Components
        • Joining on multivalue fields (Comparison Rules)
    • Connections
      • Database Connections
        • Internal Database Connections
        • External (Shared) Database Connections
        • Database Connections Properties
        • Encryption of Access Password
        • Browsing Database and Extracting Metadata from Database Tables
        • Windows Authentication on Microsoft SQL Server
        • Snowflake Connection
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        • Troubleshooting
      • JMS Connections
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    • Lookup Tables
      • Lookup Tables in Cluster Environment
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      • Types of Lookup Tables
    • Sequences
      • Persistent Sequences
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      • Editing a Sequence
      • Sequences in Cluster Environment
    • Parameters
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      • Secure Graph Parameters
      • Graph Parameter Editor
      • Secure Graph Parameters
      • Parameters with CTL2 Expressions (Dynamic Parameters)
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      • Using Parameters
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      • Creating a Dictionary
      • Using a Dictionary in Graphs
    • Execution Properties
    • Notes in Graphs
      • Placing Notes into Graph
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      • Formatted Text
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    • Transformations
      • Defining Transformations
      • Transform Editor
      • Common Java Interfaces
    • Data Partitioning (Parallel Running)
    • Data Partitioning in Cluster
      • High Availability
      • Scalability
      • Graph Allocation Examples
      • Example of Distributed Execution
      • Remote Edges
    • Readers
      • Common Properties of Readers
      • ComplexDataReader
      • DatabaseReader
      • DataGenerator
      • DataOneVFSReader
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    • Writers
      • Common Properties of Writers
      • DatabaseWriter
      • DataOneVFSWriter
      • EDIFACTWriter
      • FlatFileWriter
      • JSONWriter
      • LDAPWriter
      • SpreadsheetDataWriter
      • HIDDEN StructuredDataWriter
      • HIDDEN TableauWriter
      • Trash
      • UniversalDataWriter
      • X12Writer
      • XMLWriter
    • Transformers
      • Common Properties of Transformers
      • Aggregate
      • Concatenate
      • DataIntersection
      • DataSampler
      • Dedup
      • Denormalizer
      • ExtSort
      • FastSort
      • Filter
      • Map
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      • Partition
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      • Rollup
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      • SortWithinGroups
      • XSLTransformer
    • Joiners
      • Common Properties of Joiners
      • Combine
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      • ExtMergeJoin
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    • Others
      • Common Properties of Others
      • CheckForeignKey
      • DBExecute
      • HTTPConnector
      • LookupTableReaderWriter
      • WebServiceClient
    • CTL2 - Data Shaper Transformation Language
    • Language Reference
      • Program Structure
      • Comments
      • Import
      • Data Types in CTL2
      • Literals
      • Variables
      • Dictionary in CTL2
      • Operators
      • Simple Statement and Block of Statements
      • Control Statements
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      • Functions
      • Conditional Fail Expression
      • Accessing Data Records and Fields
      • Mapping
      • Parameters
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    • CTL Debugging
      • Debug Perspective
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      • Examples
    • Functions Reference
      • Conversion Functions
      • Date Functions
      • Mathematical Functions
      • String Functions
      • Mapping Functions
      • Container Functions
      • Record Functions (Dynamic Field Access)
      • Miscellaneous Functions
      • Lookup Table Functions
      • Sequence Functions
      • Data Service HTTP Library Functions
      • Custom CTL Functions
      • CTL2 Appendix - List of National-specific Characters
      • HIDDEN Subgraph Functions
    • Tutorial
      • Creating a Transformation Graph
      • Filtering the records
      • Sorting the Records
      • Processing Speed-up with Parallelization
      • Debugging the Java Transformation
  • DATA SHAPER SERVER
    • Introduction
    • Administration
      • Monitoring
    • Using Graphs
      • Job Queue
      • Execution History
      • Job Inspector
    • Cluster
      • Sandboxes in Cluster
      • Troubleshooting
  • Install Data Shaper
    • Install Data Shaper
      • Introduction to Data Shaper installation process
      • Planning Data Shaper installation
      • Data Shaper System Requirements
      • Data Shaper Domain Master Configuration reference
      • Performing Data Shaper initial installation and master configuration
        • Creating database objects for PostgreSQL
        • Creating database objects for Oracle
        • Executing Data Shaper installer
        • Configuring additional firewall rules for Data Shaper
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  1. DATA SHAPER DESIGNER
  2. Transformers

Common Properties of Transformers

PreviousTransformersNextAggregate

Transformers have both input and output ports. They can:

  • put together more data flows with the same metadata (, and );

  • remove duplicate records ();

  • filter data records ();

  • create samples from input records ( ), sort data records (, and );

  • multiply existing data flow ();

  • split one data flow into more data flows ( at all, but optionally also , and );

  • intersect two data flows (even with different metadata on inputs) (), aggregate data information ();

  • and perform much more complicated transformations of data flows (, , , and ).

Metadata can be propagated through some of these transformers, whereas the same is not possible in such components that transform data flows in a more complicated manner. You must have the output metadata defined prior to configuring these components.

Some of these transformers use transformations that have been described above. For detailed information about how transformation should be defined, see .

  • Some Transformers can have a transformation attribute defined, it may be optional or required. For information about transformation templates for transformations written in CTL, see .

  • Some Transformers can have a transformation attribute defined, it may be optional or required. For information about transformation interfaces that must be implemented in transformations written in Java, see: .

Below is an overview of all Transformers:

COMPONENT
SAME INPUT METADATA
SORTED INPUTS
INPUTS
OUTPUTS
JAVA
CTL
AUTO-PROPAGATED METADATA

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x

1

1

x

x

x

✓

x

1-n

1

x

x

✓

x

✓

2

3

✓

✓

✓

-

x

1

n

x

x

✓

-

✓

1

1-2

x

x

✓

-

x

1

1

✓

✓

x

-

x

1

1-n

x

x

✓

-

x

1

1-n

x

x

✓

-

x

1

1-2

x

x

✓

✓

✓

2-n

1

x

x

✓

-

x

1

1

x

x

✓

-

x

1

1

✓

✓

x

-

x

1

1-n

[1]

[1]

✓

-

x

1

1

✓

✓

x

-

x

1

1-n

✓

✓

✓

-

x

1

1-n

✓

✓

x

-

x

1

1-n

x

x

✓

✓

x

1-n

1

x

x

✓

-

✓

1

1-n

x

x

✓

-

x

0-1

0-2

x

x

x

[1] Partition can use either a transformation or two other attributes (Ranges or Partition key). The transformation must be defined unless one of these is specified.

CTL Templates for Transformers

Java Interfaces for Transformers

requires a transformation (which can be written in both CTL and Java) unless Partition key or Ranges are defined. Remember that this component sends each record through the connected output port whose number is equal to the value returned by the transformation (). Mapping does not need to be done, records are mapped automatically.

requires a transformation which can be written in both CTL and Java. For more information about the transformation template, see .

requires a transformation which can be written in both CTL and Java. For more information about the transformation template, see . Remember that this component sends each record through the connected output port whose number is equal to the value returned by the transformation (). Mapping must be defined for this port.

requires a transformation which can be written in both CTL and Java. For more information about the transformation template, see .

requires a transformation which can be written in both CTL and Java. For more information about the transformation template, see .

requires a transformation which can be written in both CTL and Java. For more information about the transformation template, see . Remember that this component sends each record through the connected output port whose number is equal to the value returned by the transformation (). Mapping must be defined for this port.

requires a transformation (which can be written in both CTL and Java) unless Partition key or Ranges are defined. Remember that this component sends each record through the connected output port whose number is equal to the value returned by the transformation (). Mapping does not need to be done, records are mapped automatically.

requires a transformation which can be written in both CTL and Java. For more information about the interface, see .

requires a transformation which can be written in both CTL and Java. For more information about the interface, see . Remember that this component sends each record through the connected output port whose number is equal to the value returned by the transformation (). Mapping must be defined for such port.

requires a transformation which can be written in both CTL and Java. For more information about the interface, see .

requires a transformation which can be written in both CTL and Java. For more information about the interface, see see .

requires a transformation which can be written in both CTL and Java. For more information about the interface, see see . Remember that this component sends each record through the connected output port whose number is equal to the value returned by the transformation (). Mapping must be defined for such port.

Concatenate
SimpleGather
Merge
Dedup
Filter
DataSampler
ExtSort
FastSort
SortWithinGroups
SimpleCopy
Partition
Dedup
Filter
Map
DataIntersection
Aggregate
Map
Denormalizer
Normalizer
Rollup
XSLTransformer
Defining Transformations
CTL Templates for Transformers
Java Interfaces for Transformers
Aggregate
Concatenate
DataIntersection
DataSampler
Dedup
Denormalizer
ExtSort
FastSort
Filter
Merge
MetaPivot
Normalizer
Partition
Pivot
Map
Rollup
SimpleCopy
SimpleGather
SortWithinGroups
XSLTransformer
Partition
DataIntersection
Map
Denormalizer
Normalizer
Rollup
CTL Templates for Rollup
Partition
DataIntersection
Map
Denormalizer
Normalizer
Rollup
CTL Templates for DataIntersection
Java Interfaces for DataIntersection
Return Values of Transformations
CTL Templates for Map
Return Values of Transformations
Return Values of Transformations
Return Values of Transformations
Java Interfaces for Map
Return Values of Transformations
Return Values of Transformations
Java Interface
CTL Templates for Normalizer
Java Interface
CTL Templates
Java Interface