Passive Transformations do not change the number of input rows. In Informatica, Transformations help to transform the source data according to the requirements of target system and it ensures the quality of the data being loaded into target. Passive Transformation. A passive transformation doesn’t change the number of rows that pass through it. For example, The Expression transformation will process all the input rows and pass to target or other transformation, ie number of rows in source and targets are same. These transformations in Informatica are classified into connected and unconnected transformations. 1. Active 4 months ago. An unconnected transformation is not connected to any of the Informatica objects in a mapping. An unconnected transformation is not connected to other transformations in the mapping. What is the difference between active transformations and a passive transformation in Informatica? Lookup transformation is used to look up data in a flat file, relational table, view or synonym. Note : Browse latest Informatica Interview Questions and InformaicaTutorial Videos. I need to parse a XML which has various nodes in it. Lookup Transformation in Informatica can be used to get a related value, to perform a calculation and can update slowly changing dimension tables. Expression Transformation; Sequence Generator Transformation; Lookup Transformation; Stored Procedure Transformation; XML Source Qualifier Transformation Tweet. Passive Transformation: A passive transformation does not change the number of rows that pass through it i.e it passes all rows through the transformation. Transformations can be Connected or Unconnected. Sequence Generator transformation is a Passive and Connected transformation. A passive transformation does not change the number of rows that pass through it i.e it passes all rows through the transformation. A passive transformation does not change the number of rows that pass through the transformation, maintains the transaction boundary, and maintains the row type. Custom 2. Passive transformations are those who does not change the number of input rows. A passive transformation does not change the number of rows that pass through the transformation, maintains the transaction boundary, and maintains the row type. At this point in time, the latest official reference is found here. Application Source Qualifier& 2. Picture Window theme. Lookup Transformation in Informatica. Union transformation has an option in its properties as ‘IS_ACTIVE’ if we enable this option it is active transformation else it will be passive transformation. Read more. Generate Java Code for the Expression, Creating an Expression and Generating Java Code by Using the Define Function Dialog Box, Invoking an Expression with the Advanced Interface, Rules and Guidelines for Working with the Advanced Interface, Joiner Transformation Advanced Properties, Joiner Transformations in Dynamic Mappings, Port Selectors in a Joiner Transformation, Example of a Join Condition and Sort Order, Joining Two Branches of the Same Pipeline, Guidelines for Joining Data from the Same Source, Rules and Guidelines for a Joiner Transformation, Key Generator Transformation Advanced Properties, Reference Data Use in the Labeler Transformation, Configuring a Character Labeling Strategy, Labeler Transformation Advanced Properties, Guidelines for Overriding the Lookup Query, Rules and Guidelines for Lookup Transformation Conditions, Lookup Transformations in Dynamic Mappings, Configure Parameters in a Duplicate Data Object, Creating a Reusable Lookup Transformation, Creating a Non-Reusable Lookup Transformation, Creating an Unconnected Lookup Transformation, Rules and Guidelines for Sharing a Lookup Cache, Mapping Configuration for a Dynamic Lookup Cache, Dynamic Lookup Cache and Target Synchronization, Conditional Dynamic Lookup Cache Processing, Configuring a Conditional Dynamic Lookup Cache, Dynamic Cache Update with Expression Results, Configuring an Expression for Dynamic Cache Updates, Rules and Guidelines for Dynamic Lookup Caches, Single-Source Analysis and Dual-Source Analysis, Field Match Analysis and Identity Match Analysis, Driver Scores and Link Scores in Cluster Analysis, Identity Match Analysis and Persistent Index Data, Rules and Guidelines for Persistent Index Data, Creating a Data Store for Identity Index Data, Using the Index Data Store in Single-Source Analysis, Persistence Status Codes and Persistence Status Descriptions, Status Code Values and Status Description Values, Key Generator Transformation Configuration, Configure the Strategies for Field Analysis, Match Transformations in Identity Analysis, Index Directory and Cache Directory Properties, Configure a Strategy for Identity Analysis, Normalizer Transformation Output Groups and Ports, Normalizer Transformation Advanced Properties, Creating a Normalizer Transformation from an Upstream Source, Normalizer Example Input and Output Groups, Reference Data Use in the Parser Transformation, Parser Transformation Advanced Properties, Creating a Read Transformation in the Mapping Editor, Relational to Hierarchical Transformation, Relational to Hierarchical Transformation Overview, Example - Relational to Hierarchical Transformation, Input Relational Ports and the Overview View, Relational to Hierarchical Transformation Ports, Relational to Hierarchical Transformation Development, Creating the Relational to Hierarchical Transformation, REST Web Service Consumer Transformation Overview, REST Web Service Consumer Transformation Process, REST Web Service Consumer Transformation Configuration, REST Web Service Consumer Transformation Ports, REST Web Service Consumer Transformation Input Mapping, Rules and Guidelines to Map Input Ports to Elements, REST Web Service Consumer Transformation Output Mapping, Rules and Guidelines to Map Elements to Output Ports, Mapping the Method Output to Output Ports, REST Web Service Consumer Transformation Advanced Properties, REST Web Service Consumer Transformation Creation, Creating a REST Web Service Consumer Transformation, Parsing a JSON Response Message that Contains Arrays, Router Transformations in Dynamic Mappings, Connecting Router Transformations in a Mapping, Router Transformation Advanced Properties, Sequence Generator Transformation Overview, Sequence Generator Transformation Properties, Creating a Sequence Generator Transformation, Sorter Transformations in Dynamic Mappings, Sorter Transformation Advanced Properties, Creating a Reusable Sorter Transformation, Creating a Non-Reusable Sorter Transformation, Filter Optimization with the SQL Transformation, Early Selection Optimization with the SQL Transformation, Enabling Early Selection Optimization with the SQL Transformation, Push-Into Optimization with the SQL Transformation, Push-Into Optimization with the SQL Transformation Example, Enabling Push-Into Optimization with the SQL Transformation, SQL Transformation Example with an SQL Query, SQL Transformation Ports for Stored Procedures, Creating an SQL Transformation from a Stored Procedure, Standardizer Transformation Advanced Properties, Creating a Non-Reusable Union Transformation, Update Strategy Transformations in Dynamic Mappings, Update Strategy Transformation Advanced Properties, Aggregator and Update Strategy Transformations, Specifying Update Options for Individual Targets, Web Service Consumer Transformation Overview, Web Service Consumer Transformation Ports, Web Service Consumer Transformation Input Mapping, Rules and Guidelines to Map Input Ports to Nodes, Mapping Input Ports to the Operation Input, Web Service Consumer Transformation Output Mapping, Rules and Guidelines to Map Nodes to Output Ports, Mapping the Operation Output to Output Ports, Web Service Consumer Transformation Advanced Properties, Enabling Early Selection Optimization with the Web Service Consumer Transformation, Push-Into Optimization with the Web Service Consumer Transformation, Push-Into Optimization with Web Service Consumer Transformation Example, Enabling Push-Into Optimization with the Web Service Consumer Transformation, Creating a Web Service Consumer Transformation, Web Service Consumer Transformation Example, Parsing Web Service SOAP Message Overview, Generating Web Service SOAP Messages Overview, Generating anyType Elements and Attributes, Generating XML Constructs in SOAP Messages, Configuring a Weighted Average Transformation, Weighted Average Transformation Advanced Properties, Creating a Write Transformation from a Data Object, Creating a Write Transformation from Mapping Flow, Creating a Write Transformation from a Parameter, Creating a Write Transformation from an Existing Transformation.
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