Astera Data Stack
Version 9
Version 9
  • Welcome to Astera Data Stack Documentation
  • Release Notes
    • Astera 9.0 - Release Notes
  • Setting Up
    • System Requirements
    • Product Architecture
    • Installing Client and Server Applications
    • Connecting to a Astera Server using Lean Client
    • How to Connect to a Different Astera Server from the Lean Client
    • How to Set up a Server Certificate (.pfx) File in a New Environment
    • How to Build a Cluster Database and Create a Repository
    • How to Login from Lean Client
    • Licensing Model in Astera 9
    • User Roles and Access Control
    • Offline Activation of Astera Data Stack
  • Dataflows
    • Sources
      • Data Providers and File Formats Supported in Astera Data Stack
      • Setting Up Sources
      • Excel Workbook Source
      • COBOL File Source
      • Database Table Source
      • Delimited File Source
      • File System Items Source
      • Fixed Length File Source
      • Email Source
      • Report Source
      • SQL Query Source
      • XML/JSON File Source
      • PDF Form Source
    • Transformations
      • Introducing Transformations
      • Aggregate Transformation
      • Constant Value Transformation
      • Denormalize Transformation
      • Distinct Transformation
      • Expression Transformation
      • Filter Transformation
      • Join Transformation
      • List Lookup Transformation
      • Merge Transformation
      • Normalize Transformation
      • Passthru Transformation
      • Reconcile Transformation
      • Route Transformation
      • Sequence Generator
      • Sort Transformation
      • Sources as Transformations
      • Subflow Transformation
      • Switch Transformation
      • Tree Join Transformation
      • Tree Transform
      • Union Transformation
      • Data Cleanse Transformation
      • File Lookup Transformation
      • SQL Statement Lookup
      • Database Lookup
    • Destinations
      • Setting Up Destinations
      • Database Table Destination
      • Delimited File Destination
      • Excel Workbook Destination
      • Fixed Length File Destination
      • SQL Statement Destination
      • XML File Destination
    • Data Logging and Profiling
      • Creating Data Profile
      • Creating Field Profile
      • Data Quality Mode
      • Using Data Quality Rules in Astera
      • Record Level Log
    • Database Write Strategies
      • Data Driven
      • Source Diff Processor
      • Database Diff Processor
      • Dimension Loader - Database Write
    • Text Processors
      • Delimited Parser
      • Delimited Serializer
      • Language Parser
      • Fixed Length Parser
      • Fixed Length Serializer
      • XML/JSON Parser
      • XML JSON Serializer
    • Visualizations
      • Basic Plots
      • Distribution Plots
  • Workflows
    • What are Workflows?
    • Creating Workflows in Astera
    • Decision Task
    • EDI Acknowledgment Task
    • File System Task
    • File Transfer Task
    • OR Task
    • Run Dataflow Task
    • Run Program Task
    • Run SQL File Task
    • Run SQL Script Task
    • Run Workflow Task
    • Send Mail Task
    • Workflows with a Dynamic Destination Path
    • Customizing Workflows With Parameters
    • GPG-Integrated File Decryption in Astera
  • Subflows
    • Using Subflows in Astera
  • DATA MODEL
    • Creating a Data Warehousing Project
    • Data Models
      • Introducing Data Models
      • Opening a New Data Model
      • Data Modeler - UI Walkthrough
      • Reverse Engineering an Existing Database
      • Creating a Data Model from Scratch
      • General Entity Properties
      • Creating and Editing Relationships
      • Forward Engineering
      • Verifying a Data Model
    • Dimensional Modelling
      • Introducing Dimensional Models
      • Converting a Data Model to a Dimensional Model
      • Fact Entities
      • Dimension Entities
      • Date and Time Dimension
      • Verifying a Dimensional Model
    • Documentation
      • Generating Technical and Business Documentation for Data Models
      • Lineage and Impact Analysis
    • Deployment and Usage
      • Deploying a Data Model
      • Validate Metadata and Data Integrity
      • Using Astera Data Models in ETL Pipelines
      • Connecting an Astera Data Model to a Third Party Visualization Tool
  • Functions
    • Introducing Function Transformations
    • Custom Functions
    • Logical
      • Coalesce (Any value1, Any value2)
      • IsNotNull (AnyValue)
      • IsRealNumber (AnyValue)
      • IsValidSqlDate (Date)
      • IsDate (AnyValue)
      • If (Boolean)
      • If (DateTime)
      • If (Double)
      • Exists
      • If (Int64)
      • If (String)
      • IsDate (str, strformat)
      • IsInteger (AnyValue)
      • IsNullOrWhitespace (StringValue)
      • IsNullorEmpty (StringValue)
      • IsNull (AnyValue)
      • IsNumeric (AnyValue)
    • Conversion
      • GetDateComponents (DateWithOffset)
      • ParseDate (Formats, Str)
      • GetDateComponents (Date)
      • HexToInteger (Any Value)
      • ToInteger (Any value)
      • ToDecimal (Any value)
      • ToReal (Any value)
      • ToDate (String dateStr)
      • TryParseDate (String, UnknownDate)
      • ToString (Any value)
      • ToString (DateValue)
      • ToString (Any data, String format)
    • Math
      • Abs (Double)
      • Abs (Decimal)
      • Ceiling (Real)
      • Ceiling(Decimal)
      • Floor (Decimal)
      • Floor (Real)
      • Max (Decimal)
      • Max (Date)
      • Min (Decimal)
      • Min (Date)
      • Max (Real)
      • Max (Integer)
      • Min (Real)
      • Pow (BaseExponent)
      • Min (Integer)
      • RandomReal (Int)
      • Round (Real)
      • Round (Real Integer)
      • Round (Decimal Integer)
      • Round (Decimal)
    • Financial
      • DDB
      • FV
      • IPmt
      • IPmt (FV)
      • Pmt
      • Pmt (FV)
      • PPmt
      • PPmt (FV)
      • PV (FV)
      • Rate
      • Rate (FV)
      • SLN
      • SYD
    • String
      • Center (String)
      • Chr (IntAscii)
      • Asc (String)
      • AddCDATAEnvelope
      • Concatenate (String)
      • ContainsAnyChar (String)
      • Contains (String)
      • Compact (String)
      • Find (Int64)
      • EndsWith (String)
      • FindIntStart (Int32)
      • Extract (String)
      • GetFindCount (Int64)
      • FindLast (Int64)
      • GetDigits (String)
      • GetLineFeed
      • Insert (String)
      • IsAlpha
      • GetToken
      • IndexOf
      • IsBlank
      • IsLower
      • IsUpper
      • IsSubstringOf
      • Length (String)
      • LeftOf (String)
      • Left (String)
      • IsValidName
      • Mid (String)
      • PadLeft
      • Mid (String Chars)
      • LSplit (String)
      • PadRight
      • ReplaceAllSpecialCharsWithSpace
      • RemoveChars (String str, StringCharsToRemove)
      • ReplaceLast
      • RightAlign
      • Reverse
      • Right (String)
      • RSplit (String)
      • SplitStringMultipleRecords
      • SplitStringMultipleRecords (2 Separators)
      • SplitString (3 separators)
      • SplitString
      • SplitStringMultipleRecords (3 Separators)
      • Trim
      • SubString (NoOfChars)
      • StripHtml
      • Trim (Start)
      • TrimExtraMiddleSpace
      • TrimEnd
      • PascalCaseWithSpace (String str)
      • Trim (String str)
      • ToLower(String str)
      • ToProper(String str)
      • ToUpper (String str)
      • Substring (String str, Integer startAt)
      • StartsWith (String str, String value)
      • RemoveAt (String str, Integer startAt, Integer noofChars)
      • Proper (String str)
      • Repeat (String str, Integer count)
      • ReplaceAll (String str, String lookFor, String replaceWith)
      • ReplaceFirst (String str, String lookFor, String replaceWith)
      • RightOf (String str, String lookFor)
      • RemoveChars (String str, String charsToRemove)
      • SplitString (String str, String separator1, String separator2)
    • Date Time
      • AddMinutes (DateTime)
      • AddDays (DateTimeOffset)
      • AddDays (DateTime)
      • AddHours (DateTime)
      • AddSeconds (DateTime)
      • AddMonths (DateTime)
      • AddMonths (DateTimeOffset)
      • AddMinutes (DateTimeOffset)
      • AddSeconds (DateTimeOffset)
      • AddYears (DateTimeOffset)
      • AddYears (DateTime)
      • Age (DateTime)
      • Age (DateTimeOffset)
      • CharToSeconds (Str)
      • DateDifferenceDays (DateTimeOffset)
      • DateDifferenceDays (DateTime)
      • DateDifferenceHours (DateTimeOffset)
      • DateDifferenceHours (DateTime)
      • DateDifferenceMonths (DateTimeOffset)
      • DateDifferenceMonths (DateTime)
      • DatePart (DateTimeOffset)
      • DatePart (DateTime)
      • DateDifferenceYears (DateTimeOffset)
      • DateDifferenceYears (DateTime)
      • Month (DateTime)
      • Month (DateTimeOffset)
      • Now
      • Quarter (DateTime)
      • Quarter (DateTimeOffset)
      • Second (DateTime)
      • Second (DateTimeOffset)
      • SecondsToChar (String)
      • TimeToInteger (DateTime)
      • TimeToInteger (DateTimeOffset)
      • ToDate Date (DateTime)
      • ToDate DateTime (DateTime)
      • ToDateString (DateTime)
      • ToDateTimeOffset-Date (DateTimeOffset)
      • ToDate DateTime (DateTimeOffset)
      • ToDateString (DateTimeOffset)
      • Today
      • ToLocal (DateTime)
      • ToJulianDate (DateTime)
      • ToJulianDayNumber (DateTime)
      • ToTicks (Date dateTime)
      • ToTicks (DateTimeWithOffset dateTime)
      • ToUnixEpoc (Date dateTime)
      • ToUtc (Date dateTime)
      • UnixTimeStampToDateTime (Real unixTimeStamp)
      • UtcNow ()
      • Week (Date dateTime)
      • Week (DateTimeWithOffset dateTime)
      • Year (Date dateTime)
      • Year (DateTimeWithOffset dateTime)
      • DateToJulian (Date dateTime, Integer length)
      • DateTimeOffsetUtcNow ()
      • DateTimeOffsetNow ()
      • Day (DateTimeWithOffset dateTime)
      • Day (Date dateTime)
      • DayOfWeekStr (DateTimeWithOffset dateTime)
      • DayOfWeek (DateTimeWithOffset dateTime)
      • DayOfWeek (Date dateTime)
      • DateToJulian (DateTimeWithOffset dateTime, Integer length)
      • DayOfWeekStr (Date dateTime)
      • FromJulianDate (Real julianDate)
      • DayOfYear (Date dateTime)
      • DaysInMonth(Integer year, Integer month)
      • DayOfYear (DateTimeWithOffset dateTime)
      • FromUnixEpoc
      • FromJulianDayNumber (Integer julianDayNumber)
      • FromTicksUtc(Integer ticks)
      • FromTicksLocal(Integer ticks)
      • Hour (Date dateTime)
      • Hour (DateTimeWithOffset dateTime)
      • Minute (Date dateTime)
      • JulianToDate (String julianDate)
      • Minute (DateTimeWithOffset dateTime)
      • DateToIntegerYYYYMMDD (DateTimeWithOffset dateTime)
      • DateToIntegerYYYYMMDD (Date dateTime)
    • Files
      • AppendTextToFile (String filePath, String text)
      • CopyFile (String sourceFilePath, String destFilePath, Boolean overWrite)
      • CreateDateTime (String filePath)
      • DeleteFile (String filePath)
      • DirectoryExists (String filePath)
      • FileExists (String filePath)
      • FileLength (String filePath)
      • FileLineCount (String filePath)
      • GetDirectory (String filePath)
      • GetEDIFileMetaData (String filePath)
      • GetExcelWorksheets (String excelFilePath)
      • GetFileExtension (String filePath)
      • GetFileInfo (String filePath)
      • GetFileName (String filePath)
      • GetFileNameWithoutExtension (String filePath)
      • LastUpdateDateTime (String filePath)
      • MoveFile (String filePath, String newDirectory)
      • ReadFileBytes (String filePath)
      • ReadFileFirstLine (String filePath)
      • ReadFileText (String filePath)
      • ReadFileText (String filePath, String codePage)
      • WriteBytesToFile (String filePath, ByteArray bytes)
      • WriteTextToFile (String filePath, String text)
    • Date Time With Offset
      • ToDateTimeOffsetFromDateTime (dateTime String)
      • ToUtc (DateTimeWithOffset)
      • ToDateTimeOffsetFromDateTime
      • ToDateTimeOffset (String dateTimeOffsetStr)
      • ToDateTimeFromDateTimeOffset
    • GUID
      • NewGuid
    • Encoding
      • ToBytes
      • FromBytes
      • UrlEncode
      • UrlDecode
    • Regular Expressions
      • ReplaceRegEx
      • ReplaceRegEx (Integer StartAt)
    • TimeSpan
      • Minutes
      • Hours
      • Days
      • Milliseconds
    • Matching
      • Soundex
      • DoubleMetaphone
      • RefinedSoundex
  • Report Model
    • User Guide
      • Report Model Tutorial
    • Report Model Interface
      • Report Options
      • Report Browser
      • Data Regions in Report Models
      • Region Properties Panel
      • Pattern Properties
      • Field Properties Panel
    • Use Cases
      • Applying Pattern to Line
      • Auto Creating Data Regions and Fields
      • Auto Parsing
      • Connecting to Cloud Storage
      • Creating Multi Column Data Regions
      • Defining Region End Type as Specific Text and Regular Expression
      • Defining the Start Position of Data Fields
      • Floating Patterns and Floating Fields
      • How To Work With PDF Scaling Factor in a Report Model
      • Line Count
      • Pattern Count
      • Pattern is a Regular Expression
      • Using Comma Separated Values to Define Start Position
    • Auto Generate Layout (Beta)
      • Setting Up AGL in Astera
      • UI Walkthrough Auto Generation of Layout, Fields and Table
      • Using Auto Generation Layout, Auto Create Fields, and Auto Create Table (Beta)
    • Exporting Options
      • Exporting a Report Model
      • Exporting Report Model to A Dataflow
    • Miscellaneous
      • Importing Monarch Models
      • Microsoft Word and Rich Text Format Support
      • Working With Problematic PDF Files
  • API Flows
    • API Consumption
      • Consume
        • REST Connection
        • Making API Calls with the REST Client Object in Astera
        • REST API Browser
        • Method Operations
        • Pagination
      • Authorize
        • Open APIs - Configuration Details
        • Authorizing Facebook APIs in Astera
        • Authorizing Astera's Server APIs
        • Authorizing Avaza APIs in Astera
        • Authorizing Square API in Astera
        • Authorizing ActiveCampaign API in Astera
        • Authorizing QuickBooks’ API in Astera
        • Accessing Astera's Server APIs Through a Third Party Tool
        • Astera's Server API Documentation
  • Project Management
    • Project Management
      • Deployment
      • Server Monitoring and Job Management
      • Connecting to Source Control
      • Astera Project and Project Explorer
    • Job Scheduling
      • Scheduling Jobs on the Server
      • Job Monitor
  • Use Cases
    • End-to-End Use Cases
      • Data Integration
        • Using Astera Data Stack to Create and Orchestrate an ETL Process for Partner Onboarding
      • Data Warehousing
        • Building a Data Warehouse - A Step By Step Approach
      • Data Extraction
        • Reusing The Extraction Template for Similar Layout Files
  • Connectors
    • Setting Up IBM DB2/iSeries Connectivity in Astera
    • Connecting to SAP HANA Database
    • Connecting to MariaDB Database
    • Connecting to Salesforce Database
    • Connecting to Salesforce - Legacy Database
    • Connecting to Vertica Database
    • Connecting to Snowflake Database
    • Connecting to Amazon Redshift Database
    • Connecting to Amazon Aurora Database
    • Connecting to Google Cloud SQL in Astera
    • Connecting to MySQL Database
    • Connecting to PostgreSQL in Astera
    • Connecting to Netezza Database
    • Connecting to Oracle Database
    • Connecting to Microsoft Azure Databases
    • Connecting to Amazon RDS Databases
  • Miscellaneous
    • Using Dynamic Layout Template Mapping in Astera
    • Synonym Dictionary File
    • SmartMatch Feature
    • Role Based Access Control in Astera
    • Updating Your License in Astera
    • Using Output Variables in Astera
    • Connection Vault
    • Safe Mode
    • Using the Data Source Browser in Astera
    • Pushdown Mode
    • Cloud Deployment
      • Deploying Astera on Microsoft Azure Cloud
      • Deploying Astera on Oracle Cloud
      • Deploying Astera on Amazon Web Services
    • Context Information
  • Best Practices
    • Overview of Cardinality in Data Modeling
    • Cardinality Errors FAQs
    • Astera Best Practices - Dataflows
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  1. Dataflows
  2. Transformations

Passthru Transformation

PreviousNormalize TransformationNextReconcile Transformation

Last updated 11 months ago

The Passthru Transformation object creates a new dataset based on the elements that were passed to the transformation. This is useful for organizing datasets for better readability and grouping of values that are otherwise calculated over and over again, for example, a .

Sample Use-Case

In this case, we are using an .

The source file contains customers’ information in the parent node and their order and shipping details in the collection/child node.

Preview data by right-clicking on the source object’s header and selecting Preview Output.

A Data Preview window will open, showing you the preview of the hierarchical data.

Now, we want to create a field in the parent node that contains the count of orders that arrived late for each customer and write these records to a destination file. This new field in the parent node will depend on two fields, RequiredDate and ShippedDate, that are already present in the collection/child node.

For this purpose, we will use the Passthru Transformation object.

Using Passthru Transformation

  1. To get a Passthru Transformation object from the Toolbox, go to Toolbox > Transformations > Passthru and drag and drop the Passthru object onto the designer.

You can see that the dragged transformation object is empty right now. This is because we have not mapped any fields to it yet.

  1. Auto-map source fields to the transformation object by dragging and dropping the top node of the source object, SampleData to the top node of the transformation object, Passthru.

Now the mapping is done. Let’s configure the Passthru Transformation object.

Configuring the Passthru Transformation Object

  1. Right-click on the transformation object’s header and select Properties from the context menu. A configuration window for the Passthru Transformation object will open. The first window is the Layout Builder window. This is where we can create or delete fields, change their name or data types, mark any field as a variable, or attach expressions to any field.

  1. Create a new field under the parent node. Let’s call it LateOrders and mark it as an Output field.

  1. Click Next, and you will be directed to a Layout Modifications window.

  1. Select the LateOrders field. Here you can modify any field by applying expressions to it.

  1. Write the expression that counts the number of late-arriving orders. Click “…” located next to the expression box to open the Expression Builder window where you can make use of Astera's extensive library of built-in functions and expressions.

  1. Click on the Orders node and a panel (Options for Collection) will appear. These options are only available for collection nodes. This is where we will specify the rule for routing late-arriving orders. Select Route Based on Rules and a new section for adding rules will appear on the screen.

  1. Add a new rule by clicking on the Add switch condition icon

Now, write an expression to route late arriving orders and name this rule as “LateArrivals”.

  1. Click OK. Now observe that a new collection node, Orders_LateArrivals, has been added to the Passthru Transformation object.

To preview data, right-click on the header of the transformation object and select Preview Output from the context menu.

A Data Preview window will open. On expanding records, you will get corresponding order details and appended details of late-arriving orders.

To store the output for late arriving orders, write it to a destination file.

  1. Configure settings for Excel Workbook Destination object.

  2. Click on the Start Dataflow icon located in the toolbar at the top of the designer window to create the destination file.

Upon clicking this icon, an Excel file will successfully be created. You can find the link to this file in the Job progress window.

Right-click on the collection node, Orders_LateArrivals, and go to Write to > Excel Workbook Destination. An object will be added to the dataflow designer with auto-mapped fields from the collection field.

Excel Workbook Destination
Sequence Generator Transformation
XML/JSON File Source