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)
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      • Right (String)
      • RSplit (String)
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      • CharToSeconds (Str)
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      • DateDifferenceHours (DateTime)
      • DateDifferenceMonths (DateTimeOffset)
      • DateDifferenceMonths (DateTime)
      • DatePart (DateTimeOffset)
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      • DateDifferenceYears (DateTime)
      • Month (DateTime)
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      • Now
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      • Second (DateTime)
      • Second (DateTimeOffset)
      • SecondsToChar (String)
      • TimeToInteger (DateTime)
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      • ToDate Date (DateTime)
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      • ToDateString (DateTime)
      • ToDateTimeOffset-Date (DateTimeOffset)
      • ToDate DateTime (DateTimeOffset)
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      • Today
      • ToLocal (DateTime)
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      • 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
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        • 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
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  • 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
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    • Connecting to MariaDB Database
    • Connecting to Salesforce Database
    • Connecting to Salesforce - Legacy Database
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    • 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
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  • 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
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    • 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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Language Parser

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Last updated 11 months ago

We have added Language Parser functionality to the Expression Builder to enable advanced expressions such as interpolated string and verbatim.

This will enable users to compile different values from incoming datasets into an expression and present it as an interpolated string in the output.

Use Case

We have some EmployeeData from a fictitious organization stored in an Excel spreadsheet. We will work with that data to create:

  • An interpolated string

  • A verbatim string

We will be using the fields in the EmployeeData Excel sheet and interpolating the data into an EmployeeInfo string. After string interpolation, we will create a new field to apply escape characters inside an expression transformation object through a verbatim string.

Astera also provides extensive and detailed support for error information that may occur while data parsing and string interpolation. We will use some examples to see how error information works in Astera.

Follow through the steps below to see how it works:

  1. Retrieve the source data.

Note: In this case, the source data of Employees is stored in an Excel file. We will extract it using the object in a dataflow.

  1. Next, we will drag and drop the Expression Transformation object to the designer, to create string expressions. Map fields from the Excel source object (EmployeeData).

  1. Right-click on the Expression transformation object and select Properties. A Layout Builder will open, where you can use the Expression Editor to define the expressions for each field.

Interpolated String

Let’s discuss how to create an interpolated string in an Expression transformation object.

  1. Create a new field in the Layout Builder. Since this field will only return an output, we will check the Output box and set the data type as ‘String.’ In this case, we have named the new field as EmployeeInfo.

  1. In the Expression Editor, we will define the Interpolated String Expression for the new field. You can either write the expression in the given field or click the ellipses in the left corner of the field to go to the Expression Editor.

  1. The interpolated string expression will be built in the Expression box.

  • It is important to note that an interpolated string expression starts with a dollar ($) sign. The $ notation denotes the parameters or the variables in the string which will be parsed dynamically during the preview and runtime for each record in the source file.

Here, we will create an interpolated string using the EmployeeID, LastName, FirstName, Title, TitleOfCourtesy, HireDate, and City fields from our source data.

  • The interpolated string expression, in this case, will be written as: $”{TitleOfCourtesy} {FirstName} {LastName} from {City} was hired on {HireDate} and works as {Title}”

During both the preview and the runtime, the variables or the parameters enclosed in {} will take input from the source data and return the output for each record in the new field EmployeeInfo. Here’s an example of the parameter and the source value for the first record:

Field Name

Source Value

TitleOfCourtesy

Ms.

FirstName

Nancy

LastName

Davolio

City

Seattle

HireDate

01/04/06

Title

Sales Representative

Hence, the output of the interpolated string for the first record will return as: “Ms. Nancy Davolio from Seattle was hired on 01/04/06 and works as a Sales Representative.”

  1. Now, if we look at the preview, you can see that a new field ‘EmployeeInfo’ has been created and the interpolated string output for each record has been returned in that field.

Verbatim String

Let’s go over how to use a Verbatim String with a line break in an Expression transformation object.

  1. Create a new field in the Layout Builder for the verbatim string. Since this field will only give an output, we will check the Output box and set the data type as String. In this case, we will name the new field as Office.

  1. In the Expression field of the Layout Editor, we will define the verbatim string expression for that field. You can either write the expression in the corresponding expression field or click on the ellipses in the left corner of the field to enter the Expression Editor.

  1. The verbatim string expression will be built in the Expression box on the Expression Builder screen.

  1. It is important to note that verbatim string only works with an at the rate (@) sign before the expression and returns the value as it is, throughout the output field.

In this example, we want the following output to be returned in the Office field that we created:

Output: Head Office North Street, 301, San Francisco

  • The verbatim string expression to achieve this output will be written as: @”Head Office North Street, 301, San Francisco”

  1. The output preview will show the verbatim string upon hovering over values in the verbatim field or you can also export it to any destination to view the data.

Error Info

The error information feature in Astera has now been improved to provide more comprehensive information about errors to users in real time. The information that it now provides is more precise and specific which helps in debugging errors as you build expression logics.

Let’s work on a few examples to explore how the error information functionality has been improved and how it can help in resolving errors and successfully compiling expressions in the Expression Builder.

Note: Three common error messages are discussed below, which will output other error messages.

  1. Unexpected Token:

For an incomplete expression, the user will instantly be notified that the expression status is Not Compiled and further give a message explaining that there is an unexpected token that expects a further expression for successful compilation.

  1. Unterminated String Literal:

‘Unterminated String Literal’ means that a string variable is not closed properly, either because of an unescaped character in it, or a line break. Hence, it won’t compile till the expression is closed.

Successful Compilation of the Error:

The string has now been closed, and the Compile Status has been updated to ‘Successful’.

  1. Invalid Identifier

The ‘Invalid Identifier’ error message appears when a field name is not valid. If you look at the given object, there is no field by the name TitleCourtesy; hence the invalid identifier error. The available field is TitleOfCourtesy.

Excel Workbook Source