Expression Transformation in Informatica with Examples - Updated 2022 (2022)

Introduction To Informatica

Informatica is a software development company, which offers data integration products. Some of them are ETL, data quality, data replica, data masking, master data management, and more.What makes Information better than the other companies in the market? It offers a wide range of product editions. Users can choose separate editions based on their requirements.Informatica is available for all widely used platforms.In this blog, we will dig deep into Informatica transformations. We will explore the steps to create expression in Informatica.

Table of Contents

  • Expression Transformation in Informatica
  • Informatica Expression Transformation Uses
  • Expression Transformation in Informatica Example
  • Business Logic
  • Power Center Transformation Language
  • Steps to create Expression Transformation in Informatica
  • Wrapping Up

Expression Transformation in Informatica

Expression transformations are used for row-wise manipulation. For any manipulation, you wish to perform on an individual record, use an Expression transformation. The Expression transformation accepts the row-wise data, manipulates it, and passes it to the target. The transformation receives the data from the input port and sends the data out from output ports.

This is of type passive transformation which allows you to calculate the expressions for each record. An expression transformation in Informatica supports writing expression either in variable ports or only in output ports. In this Informatica Tutorial for Beginners, we will learn about Expression Transformation, its uses, and examples. We will also learn about Rank Index and Rank Transformation in other posts.

Informatica Expression Transformation Uses

Use an Expression Transformation to derive the new attributes from changing the inconsistent data into a consistent format.

Use Expression Transformations for any row-wise calculation, such as if you want to concatenate the names, get the total salary, and convert it to upper case.

An expression transformation is created with the following types of ports.

  • Input port (I)
  • Output Port (O)
  • Variable Port (V)

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Variable Ports

A transformation variable is created by creating a port and selecting the V checkbox. When V is checked, the I and O checkboxes are greyed out. This indicates that a variable port is neither an input nor an output port. Variables Ports are not visible in Normal view, only in Edit view.

  • Simplify complex expressions, e.g., extract month from a date for use in several output ports
  • Provide temporary storage
  • Improve efficiency
  • Variables are initialized (numeric to 0, string to “”) when the Mapping logic is processed

Ports are evaluated in the order

  • All input ports
  • Variable ports in the display order (expressions can refer to input ports and variable ports that appear earlier in the port list)
  • Output ports (expressions can reference input and variable ports

Advanced Properties for Expression Transformation

Tracing Level Amount of detail that appears in the log for this transformation. You can choose terse, normal, verbose initialization, or verbose data. The default is normal.

Expression Transformation in Informatica Example

Design a mapping to calculate the total sal (sal+com) where common is having Nulls.

  • Create a source definition with the name (Emp)
  • Create a target definition with the name (Emp-total sal)
  • Create a mapping with the name (M-employee-total sal)
  • Drop the source and target definitions
  • Create the transformation tab expression

From SQ-Emp copy the required ports to expression transformation double click on expression transformation select the ports tab from the toolbar click on add a new port

port namedatatypeprecessionsaleI.O.Vexpression
tsaldecimal72

IIF (ISNULL(cinn), SAL, SAL+Com

SAL+IIF(ISNULL(comm),0,comm

click apply click ok

From expression, transformation connects the ports to the target

Business Logic

Calculate the tax(sal*0.17) for the top 3 employees based on salary, Who belongs to the ‘sales’ department sales department Id is 30.

Expression Transformation in Informatica with Examples - Updated 2022 (1)

Procedure for Creating Transformations

  • Create a source-targetdefinition as described in DFD
  • Create a mapping with the name M_Tax_calculation
  • Drop definitions of origin and target to the mapping designer workspace.
  • From transformation, menu selects create select the transformation type filter.

Enter the name filter_tax_cal click on create

Click Done

From source qualifier (SQ-EMP) Copy the required ports to the filter transformation (EmpName, Eno, Job, sal, Dept no)

  • Double click on the filter transformation select the properties tab
  • Header Names are
  • Transformation attribute Value
  • Filer condition Dept no-30
  • Click validate click ok
  • Click Apply
  • Click ok

From the Transformation menu select create select the transformation type rank

  • Enter the name Rank-tax-cal
  • Click on create and Done

From filter transformation copy the ports to the rank transformation.

  • Double click on Rank Transformation
  • Select the ports tab
  • For port name Sal select rank port
  • Select the properties tab
  • Transformation attribute Value
  • Top/Bottom Top
  • Number of Ranks 3
  • Click Apply
  • And click ok

From the Transformation menu select create

  • Select the transformation type expression
  • Enter the name Exp-Tax-cal
  • Click on create and Done

From Rank transformation copy the ports to an expression transformation (Except Rankindex)

  • Double click on Expression Transformation select ports tab.

From toolbar click on add a new port

  • Data type precision scale I O V Expression
  • Tax decimal 7 2 dsl*0.17
  • Click Apply click on ok

From the expression, Transformation connects the ports to target from the repository menu click on save.

Read[note style="" bg="" border="" bordercolor="{{bordercolor}}" color=""] Read about Router Transformation here [button url="http://tekslate.com/router-transformation/" class="" bg="" hover_bg="" size="0px" color="" radius="0px" width="0px" height="0px" target="_self"] Router Transformation [/button] [/note]

(Video) How to build business logic using Expression Transformation in Informatica | Informatica tutorial

These core tutorials will help you to learn the fundamentals of Informatica Data Quality Tutorials. For an in-depth understanding and practical experience, explore Informatica Data Quality Tutorials.

Power Center Transformation Language

The power centre transformation language is a set of built-in functions that are similar to SQL functions.

The Built-in functions are used to develop the business logic or transformation rules.

The function is categorized into the following types

  • String functions
  • Numeric functions
  • Data functions
  • Aggregate functions
  • Test functions
  • Variable functions
  • Data cleansing functions
  • Financial functions
  • Scientific functions
  • Miscellaneous functions

Example

Design a mapping which rejects the records contains null. Procedure:-

  • Source definition (EMP)
  • Target definition (EMP-NULL-Validate)
  • Target columns (Empno, emp name, job, comm., deptno)

Create the mapping with name m_employee_NULL)reject Drop the source and target definitions Create the transformation type filter

From the source, qualifier copy the required ports to the filter transformation

Double click on filter transformation select the properties tab

Transformation attribute Value

Filter condition IIF(ISNULLcomm), False, )

Click Apply click on ok

From filter, transformation connects the ports to the target

Example

Design a mapping to verify the null for every source column, reject the record if any column contains null.

Procedure:-

  • Create source and target definition
  • Create mapping with the name m_EMP_NULL_validate
  • Create the transformation type filter from source unifier copy the required ports to filter

Double click the filter transformation select the properties tab

Transformation attribute Value

Filter validation IIF (ISNULL empno)OR

ISNULL(ENAME)OR

ISNULL(MGR)OR

ISNULL(SAL)OR

ISNULL(COMM)OR

ISNULL(DEPTNO), False, True)

Click Apply click ok

From filter, transformation connect ports to the target

Example

Design a Mapping which can load the employees whose Ename Start with ‘S’.

Expression Transformation in Informatica with Examples - Updated 2022 (2)create source and target definitions

Expression Transformation in Informatica with Examples - Updated 2022 (3)create the mapping with the Name M-EMP-5

Expression Transformation in Informatica with Examples - Updated 2022 (4)Drop the source and target definitions

(Video) Expression transformation to implement expressions

Expression Transformation in Informatica with Examples - Updated 2022 (5)create the transformation type filter and develop the following filer condition substr (EName, 1,1,)='S'

Expression Transformation in Informatica with Examples - Updated 2022 (6) from filter, transformation connects the ports to the target

Example

Design a mapping which can load employees whose Ename is having > =6 characters

Procedure:-

Expression Transformation in Informatica with Examples - Updated 2022 (7)Create the filter transformation with the following condition length (Ename)>=6

Ex:- Design a mapping which can load employees whose Empno is an even number

Procedure:-

MOD(Ename.2)=0

Steps to create Expression Transformation in Informatica

Transformation

Informatica transformations create, modify, or pass data to a defined target structure (tables, files, or other targets). Their two main goals are:

  • They modify the source data as per the target system’s requirements.
  • They ensure the loading of data quality into the target.

Types of transformation

There are two categories of transformation.

Based on connectivity

  • Connected Transformations: You can use connected transformations when you get a transformation request for every input row or when the value is expected to return.

  • Unconnected Transformations: The unconnected transformations are only useful periodically or based upon certain conditions.

Based on the change in the number of rows

  • Active Transformations: Active transformations modify the data rows and the number of input rows.

  • Passive Transformations: Passive transformations do not change the number of input rows.

Joiner Transformation

It is an active and connected transformation that allows you to create joins in Informatica. The advantage of joiner transformation is that you can create joins for different databases. The two sources used for joins are:

  • Master Source
  • Detail Source

The types of joins you can create using joiner transformation are:

  • Master outer join: The join returns all the records from the detail source. Only matching rows from the master source are returned.
  • Detail outer join: Only matching rows are returned from the detail source. All rows from the master source are returned.

  • Full outer join: All records from both the sources are returned.

  • Normal join: Only matching rows are returned from both sources.

SQL Transformation

The Informatica SQL transformation is a connected type transformation. It processes SQL queries in a pipeline’s midstream. We can use SQL transformation to insert, update, delete, and retrieve rows from the run time database.

Here are the SQL statements used in the SQL transformation.

  • Data Definition statements (CREATE, ALTER, DROP, TRUNCATE, RENAME)
  • Data Manipulation statements (INSERT, UPDATE, DELETE, MERGE)

  • Data Retrieval statement (SELECT)

  • Data Control Language statements (GRANT, REVOKE)

  • Transaction Control statements (COMMIT, ROLLBACK)

👉Read these latest Informatica Data Quality Interview Questions that help you grab high-paying jobs

(Video) Tutorial on IDQ Transformation Examples - Demo

SQL Transformation Configuration

The options to configure an SQL transformation are:

  • Mode: SQL transformation runs either in script mode or query mode.
  • Active/Passive: SQL transformation is an active transformation by default. You can configure it as passive transformation.

  • Database type: SQL transformation connects to a database type.

  • Connection type: You can either pass a database connection or use a connection object.

The SQL Case Statement

The CASE statement goes through conditions. It returns a value when the first condition is fulfilled (for example, IF-THEN-ELSE statement). Once a condition is true, it will stop reading and return the result. If no conditions are true, it returns the value in the ELSE clause. If there is no ELSE, and no conditions are true, it returns NULL.

Normalizer Transformation

Normalizer transformation is an active transformation that converts a single row into multiple rows and vice versa. You can organize your data more effectively with normalizer transformation.

Informatica Substring function

The substring function retrieves a particular piece of the string. Substring counts blank characters in the string. For example,

Substring( Australia, 4, 7)

“4” is the position of the starting character of the substring.

“8” is the position of the ending character of the substring.

Informatica Not NULL

You can do the Not NULL check by using the Informatica ISNULL function. There are two ways to do this:

  1. Using the NOT Operator
IIF(NOT ISNULL(value), ' Input is not null',' No it is null')
  1. Checking with the return value.

IIF(ISNULL(value)=0, ' Input is not null',' No it is null')

Verbose initialization mode in Informatica

In the verbose initialization mode, Informatica writes the log details as same as normal mode. It also writes about the data and index files used and transformation statistics.

Regular Expression in Informatica

In Informatica, a regular expression includes characters representing the source character types, source character sets, and string or word boundaries in the source columns. It can also include quantifiers that decide how many times a character can occur in the source data. Regular expressions are case sensitive.

Use cases of Informatica

Few use cases of Informatica are:

  • Data cleansing

  • You can use it to set up enterprise data warehouses.

  • Integrating data from heterogeneous systems (multiple databases and file-based systems)

  • Migrating from existing legacy systems to new database systems

Advantages of Informatica

The advantages of the Informatica data integration tool are:

  • It enables effective and efficient data communication and transformation between different sources.
  • It is faster, cost-effective, and easy to learn.

  • It easily monitors jobs, recovers failed jobs and points out slow jobs.

  • It has many powerful features like database information, data validation, migration of projects from a database to another, etc.

Informatica PowerCenter

Informatica Corporation developed the Informatica PowerCenter, which is one of the Enterprise Data Integration products. Information PowerCenter is an ETL (extraction, transformation, and loading) tool. It extracts data from the source, transforms, and loads data into the target. The functions of the ETL tool are:

  • The Extraction part understands, analyses, and cleans the source data.

  • The Transformation part cleanses the data more precisely and modifies data to meet business requirements.

  • The Loading part assigns dimensional keys and loads them into the warehouse.

Transformation types in Informatica

TRANSFORMATION

DESCRIPTION

(Video) Lookup Transformation in Informatica (Part 1)

Aggregator Transformation

Aggregator transformation performs an aggregate calculated based on the passed data through the transformation.

Expression Transformation

Expression transformation performs a calculation based on values within a single row.

Filter Transformation

Informatica filter transformation specifies a filter condition passed rows through this transformation.

Rank Transformation

Rank transformation sets conditions for rows in a rank.

Router Transformation

Router transformation routes data into multiple transformations based on a group expression.

Update Strategy Transformation

Update strategy transformation flags a row to update, insert, delete, or reject. This transformation controls updates to a target based on some applied conditions.

Types of ports in Informatica Expression Transformation

Expression Transformation has the following ports:

  • Input port: The input port in Informatica receives data from upstream transformations.
  • Output port: The output port in Informatica contains the expression’s return value.

  • Pass-through port: The pass-through port in Informatica passes data through the transformation without changing the value.

  • Variable port: The variable ports in Informatica temporarily store data to use in expressions.

  • Dynamic port: The dynamic port in Informatica receives or returns ports in a dynamic mapping.

  • Generated Port: The generated port in Informatica represents a single column within a dynamic port.

Components of Expression Transformation

The expression transformation has the following components or tabs:

  • Transformation: Enter the name and description of the transformation. The expression transformation can also be made reusable.
  • Ports: Configure the new ports.

  • Properties: Configuring the tracing level to set the transaction detail amount to logged.

  • Metadata Extensions: Specifying the extension name, data type, precision, value, and also creating reusable metadata extensions.

Factors to consider when developing an Expression Transformation

There are two main factors to consider when developing an Expression transformation:

  • The port type.

  • The expressions.

How is Expression Transformation passive?

A passive transformation in Informatica does not change the number of rows that pass through the transformation. It also maintains the transaction boundary and the row type. Therefore, Expression Transformation is passive because it does not change the number of output rows.

Generating sequence numbers with expression transformation

The steps to generate sequence numbers with expression transformation are:

  • Create a variable port in expression transformation and increase it by 1.
  • Assign the variable port to an output port

  • In the expression transformation, the ports are:

    • V_count=V_count+1

      (Video) Expression Transformation in Informatica | Informatica EXP | Day 7

    • O_count=V_count

Wrapping Up

Informatica offers rich features like row-level operations on data, data integration from multiple structured, semi-structured, or unstructured systems, data operation scheduling, and so on. According to research, Forbes has said that Informatica might be the next Microsoft. In the current age, Information has an advantage over its competitors in the industry.

For an in-depth understanding of Informatica, click on

  • Aggregator Transformation in Informatica
  • Sorter Transformation in Informatica
  • Lookup Transformation in Informatica
  • ETL Project Architecture
  • Interview Questions

FAQs

What is expression transformation in Informatica with example? ›

The Expression transformation calculates values within a single row. Use the Expression transformation to perform non-aggregate calculations. For example, you might use an Expression transformation to adjust bonus percentages or to concatenate first and last names.

What is expression transformation in ETL? ›

Expression transformation is a connected, passive transformation used to calculate values on a single row. Examples of calculations are concatenating the first and last name, adjusting the employee salaries, converting strings to date etc.

How many ports are available in expression transformation? ›

6 Replies. Hi, There is no such limit for the number of ports and number of columns. There is no processing engine which can process infinite volume of data .

How can we join two expression transformation in Informatica? ›

  1. Step 1 – Create a new target table EMP_DEPTNAME in the database using the below script and import the table in Informatica targets.
  2. Step 2 – Create a new mapping and import source tables “EMP” and “DEPT” and target table which we created in the previous step.
  3. Step 3 – From the transformation menu, select create option.
3 Sept 2022

Is expression transformation active or passive? ›

Expression transformation is a Passive and Connected Informatica

Informatica
Informatica is a data integration tool based on ETL architecture. It provides data integration software and services for various businesses, industries and government organizations including telecommunication, health care, financial and insurance services.
https://www.edureka.co › blog › what-is-informatica
transformation. Expression transformations are used for row-wise manipulation. For any type of manipulation you wish to perform on an individual record, use an Expression transformation.

Which function Cannot be used in expression transformation? ›

Explanation : Expression transformation can perform only non aggregate functions. Q2.

Can we write SQL query in expression transformation in Informatica? ›

The SQL Transformation in Informatica is used to write or use SQL Queries in the middle of the transformation. Using this SQL transformation, you can Insert, Delete

Delete
In the database structured query language (SQL), the DELETE statement removes one or more records from a table. A subset may be defined for deletion using a condition, otherwise all records are removed.
https://en.wikipedia.org › wiki › Delete_(SQL)
, or Update rows in a Database. If you are familiar with queries, then you can use this transformation.

How do you transform expressions? ›

Convert Rational Exponents and Radical Expressions - YouTube

What is the difference between expression and aggregator transformation? ›

If you compare with Expression transformation then the difference is that in the Expression transformation calculations are done by row by row whereas in Aggregator calculations are done for group.

How do you find the count of records in expression transformation? ›

expression. COUNT groups values based on group by ports you define in the transformation, returning one result for each group. If there is no group by port COUNT treats all rows as one group, returning one value.
...
COUNT - Number of rows with not null values in Informatica.
ArgumentRequired/OptionalDescription
*OptionalUse to count all rows in a transformation.
3 more rows

Can we create variable port in transformation other than expression transformation? ›

Yes, you can. That is the reason, Variable port is used for any derivations which is needed for more than one time with in the same expression.

What is the use of variable port in expression transformation? ›

Variable ports temporarily store the value while processing the data. Double-click on the transformation and click on Ports to open the edit view and see the input, output, and variable ports. You can disable or enable input or output ports based on the requirement.

How do you evaluate an expression in Informatica? ›

Steps to Evaluate Expressions

Select the transformation for which you want to evaluate an expression. Click Mappings > Debugger > Evaluate Expression. Enter an expression in the Expression Editor that references ports in the selected transformation. To validate the expression, click Validate.

How can I join two tables without Joiner transformation? ›

Lets see one scenario, how to join two tables without using Joiner Transformation. This can be achieved by just using Source Qualifier – 'User Defined Join' property. Here we are going to join Two tables (EMPLOYEE & JOBS) and create a target table with columns from both the tables.

What is Nextval and Currval in Informatica? ›

The CURRVAL is the NEXTVAL plus the Increment By value. You rarely connect the CURRVAL port to other transformations. When a row enters a transformation connected to the CURRVAL port, the integration service passes the NEXTVAL value plus the Increment By value.

How do I count the number of records in a flat file in Informatica? ›

How can we achieve this? Hi, If you want see in Informatica then use the variable port in the Informatica and increment the count by one if the current value and previous value are not same. If you want to see just number of records outside Informatica then simply import your flat file into Excel and sort it.

How do I join 3 tables in Informatica? ›

To join more than two sources in a mapping, you can use multiple Joiner transformations. You can join the output from the Joiner transformation with another source pipeline. You can add Joiner transformations to the mapping until you join all source pipelines.

Can we use flat files in Joiner transformation? ›

Yes you can use joiners with flat files

flat files
A flat-file database is a database stored in a file called a flat file. Records follow a uniform format, and there are no structures for indexing or recognizing relationships between records. The file is simple. A flat file can be a plain text file (e.g. csv, txt or tsv), or a binary file.
https://en.wikipedia.org › wiki › Flat-file_database
too.

How many pipelines can a joiner transformation join? ›

The joiner transformation is used to join two heterogeneous sources. The joiner transformation joins sources on the basis of a condition that matches one or more pairs of columns between the two sources. The two input pipelines include a master and a detail pipeline.

Can we connect 2 active transformations in Informatica? ›

You cannot connect multiple active transformations or an active and a passive transformation to the same downstream transformation or transformation input group. You might not be able to concatenate the rows.

Can we update the target without primary key? ›

Your only way to update without primary key is to write an Target override in Target.By doing this, you dont need primary key for updation.

Which one is better joiner or lookup in Informatica? ›

Joiner is better if you need to join hetrogenous sources or flat files with tables... If you use homogeneous tables, it is the best option to make use of LOOKUP...

Can aggregate functions be used in expression transformation? ›

You can also use aggregate functions as window functions in an Expression transformation. To use an aggregate function as a window function when you run a mapping on the Spark engine, you must configure the transformation for windowing.

Can we update records without using update strategy in Informatica? ›

When we configure an Informatica Power Center session, we have several options for handling database operations such as insert, update, and delete, by using these properties we can update records without using any transformations. UPDATE Categories SET CategoryName='Cooldrinks' WHERE CategoryID IN (3,6);

Can we calculate in aggregator? ›

Use the Aggregator transformation to perform aggregate calculations, such as averages and sums, on groups of data. task performs aggregate calculations, the task stores data in groups in an aggregate cache. To use the Aggregator transformation, you need the appropriate license.

Is SQL transformation active or passive? ›

The SQL transformation is an active transformation by default. You can configure it as a passive transformation when you create the transformation.

IS NULL check in Informatica? ›

Returns whether a value is NULL. ISNULL evaluates an empty string as FALSE. To test for empty strings, use LENGTH.

How many modes are available in SQL transformation? ›

SQL transformation in Informatica runs in one of the following modes. Script mode: A SQL t/r running in a script mode runs the SQL scripts from the text files. Query mode: A SQL t/r runs the queries that you put in the SQL transformation in the mapping.

What happens if Groupby is not selected in aggregator? ›

While using Aggregator transformation, you need to check group by as the result returns each row by performing aggregation one by one and the passes to the pipeline. If no group by is checked, the last row will be processed and it will return only single row (last row) as it has no command to aggregate data.

Can we use joiner after aggregator? ›

To use joiner, you have to create dummy join ports first. After the aggregator, use an expression transformation to create a dummy output column with a hardcoded value "1". You have to create two such expressions for A and B. Now connect them to a Joiner.

How can I count rows in Informatica? ›

Use a filter on Source Qualifier to get just the data you need. Use Aggregate Transformation to get the counts (for each pipeline). Use Expression Transformaiton to add a dummy port e.g. joinPort = 1 (for each pipeline). Use Expression Transformation to compare the results.

Can we use Count function in expression? ›

You can use Count in a query expression.

How do I load half records in Informatica? ›

The requirement is to process only half of the records from the source table. To do this we need to calculate the total number of rows (TOTAL-COUNT) in the source table and then assign ROW-COUNT and exclude the rows if the ROW-COUNT <= (TOTAL-COUNT/2).

How do you handle null values in aggregator transformation? ›

treats null values as nulls in aggregate functions. If you pass an entire port or group of null values, the function returns NULL. However, when you configure the PowerCenter Integration Service, you can choose how you want it to handle null values in aggregate functions.

Can we rename a port in a non reusable transformation? ›

Can we rename a transformation? Ans:- Yes, To rename transformations, click the Rename button and enter a descriptive name for the transformation, and click OK.

Can we use reusable transformation in mapplet? ›

The transformations in mapplets can be reused. The transformations in mapping cannot be reused. These use data sources as well as a transformation logic to transform the data to the target.

Which transformations can have variable ports? ›

We can use variable port in the following transformations.
  • Expression Transformation.
  • Aggregated transformation.
  • Rank Transformation.
2 Apr 2012

What are the 3 types of ports of expression transformation? ›

An expression transformation is created with the following types of ports.
  • Input port (I)
  • Output Port (O)
  • Variable Port (V)
6 Apr 2021

Why expression transformation is a passive transformation? ›

Expression Transformation in Informatica

Informatica
Informatica is a data processing tool that is widely used for ETL to extract transform and load processing. This is an industry-leading software in the field of data processing and data governance.
https://www.educba.com › what-is-informatica
is one of the passive transformation features that is used to manipulate row-wise data through the mapping. It accepts data from input ports and processes the record-wise data modification using several operations or functions though the variable ports and output ports.

How do I use Isnull in Informatica? ›

ISNULL evaluates an empty string as FALSE. To test for empty strings, use LENGTH.
...
Syntax.
ArgumentRequired/ OptionalDescription
valueRequiredAny datatype except Binary. Passes the rows you want to evaluate. You can enter any valid transformation expression.

How many ports are available in expression transformation? ›

6 Replies. Hi, There is no such limit for the number of ports and number of columns. There is no processing engine which can process infinite volume of data .

What is expression transformation in Informatica with example? ›

The Expression transformation calculates values within a single row. Use the Expression transformation to perform non-aggregate calculations. For example, you might use an Expression transformation to adjust bonus percentages or to concatenate first and last names.

Is expression transformation active or passive? ›

Expression transformation is a Passive and Connected Informatica

Informatica
Informatica is a data integration tool based on ETL architecture. It provides data integration software and services for various businesses, industries and government organizations including telecommunication, health care, financial and insurance services.
https://www.edureka.co › blog › what-is-informatica
transformation. Expression transformations are used for row-wise manipulation. For any type of manipulation you wish to perform on an individual record, use an Expression transformation.

Is expression transformation active or passive? ›

Expression transformation is a Passive and Connected Informatica

Informatica
Informatica is a data integration tool based on ETL architecture. It provides data integration software and services for various businesses, industries and government organizations including telecommunication, health care, financial and insurance services.
https://www.edureka.co › blog › what-is-informatica
transformation. Expression transformations are used for row-wise manipulation. For any type of manipulation you wish to perform on an individual record, use an Expression transformation.

What is the difference between expression and aggregator transformation? ›

If you compare with Expression transformation then the difference is that in the Expression transformation calculations are done by row by row whereas in Aggregator calculations are done for group.

Can we write SQL query in expression transformation in Informatica? ›

The SQL Transformation in Informatica is used to write or use SQL Queries in the middle of the transformation. Using this SQL transformation, you can Insert, Delete

Delete
In the database structured query language (SQL), the DELETE statement removes one or more records from a table. A subset may be defined for deletion using a condition, otherwise all records are removed.
https://en.wikipedia.org › wiki › Delete_(SQL)
, or Update rows in a Database. If you are familiar with queries, then you can use this transformation.

Can we create variable port in transformation other than expression transformation? ›

Yes, you can. That is the reason, Variable port is used for any derivations which is needed for more than one time with in the same expression.

Which functions Cannot be used in expression transformation? ›

Explanation : Expression transformation can perform only non aggregate functions. Q2.

Can we connect 2 active transformations in Informatica? ›

You cannot connect multiple active transformations or an active and a passive transformation to the same downstream transformation or transformation input group. You might not be able to concatenate the rows.

Can we update the target without primary key? ›

Your only way to update without primary key is to write an Target override in Target.By doing this, you dont need primary key for updation.

Can we use aggregate functions in expression transformation? ›

You can also use aggregate functions as window functions in an Expression transformation. To use an aggregate function as a window function when you run a mapping on the Spark engine, you must configure the transformation for windowing.

What happens if Groupby is not selected in aggregator? ›

While using Aggregator transformation, you need to check group by as the result returns each row by performing aggregation one by one and the passes to the pipeline. If no group by is checked, the last row will be processed and it will return only single row (last row) as it has no command to aggregate data.

Can we use joiner after aggregator? ›

To use joiner, you have to create dummy join ports first. After the aggregator, use an expression transformation to create a dummy output column with a hardcoded value "1". You have to create two such expressions for A and B. Now connect them to a Joiner.

How do you find the count of records in expression transformation? ›

expression. COUNT groups values based on group by ports you define in the transformation, returning one result for each group. If there is no group by port COUNT treats all rows as one group, returning one value.
...
COUNT - Number of rows with not null values in Informatica.
ArgumentRequired/OptionalDescription
*OptionalUse to count all rows in a transformation.
3 more rows

What is the use of variable port in expression transformation? ›

Variable ports temporarily store the value while processing the data. Double-click on the transformation and click on Ports to open the edit view and see the input, output, and variable ports. You can disable or enable input or output ports based on the requirement.

How do you evaluate an expression in Informatica? ›

Steps to Evaluate Expressions

Select the transformation for which you want to evaluate an expression. Click Mappings > Debugger > Evaluate Expression. Enter an expression in the Expression Editor that references ports in the selected transformation. To validate the expression, click Validate.

Can we rename a port in a non reusable transformation? ›

Can we rename a transformation? Ans:- Yes, To rename transformations, click the Rename button and enter a descriptive name for the transformation, and click OK.

Can we use reusable transformation in mapplet? ›

The transformations in mapplets can be reused. The transformations in mapping cannot be reused. These use data sources as well as a transformation logic to transform the data to the target.

Which transformations can have variable ports? ›

We can use variable port in the following transformations.
  • Expression Transformation.
  • Aggregated transformation.
  • Rank Transformation.
2 Apr 2012

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