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
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    • Date Time
      • AddMinutes (DateTime)
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      • 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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On this page
  • Use Case
  • Using the Sequence Generator
  1. Dataflows
  2. Transformations

Sequence Generator

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Last updated 11 months ago

The Sequence Generator Transformation object in Astera is used to add sequences of integer values to a dataflow. The sequences can start with any number and have any step, for example, 50, 55, 60, 65, etc.

Astera Data Stack can either create a sequence instantly at the dataflow’s run-time (this is called an in-memory sequence), or it can read sequence control data from a database table as your dataflow is executed.

In the case of in-memory sequences, a sequence always starts at the Start Value provided in the SeqGenerator: Context Information Properties window. In the case of database sequences, the last value used is recorded in the control database, and a new start value is used every time the sequence is invoked. This makes it possible to generate ever-increasing values for the sequence each time the dataflow runs. In effect, such a sequence is a chain of sequences with non-overlapping values.

Use Case

Here, we have retrieved data from the Orders table using a Database Table Source object. We will use the Sequence Generator Transformation object to generate a sequence for the OrderNo field in our source data. Let’s see how this works.

Using the Sequence Generator

  1. Drag the Sequence Generator Transformation object from the Transformations section in the Toolbox and drop it onto the dataflow designer.

  1. Map the required fields from the source object to a destination object.

  1. To configure the properties of the Sequence Generator Transformation object, right-click on its header and select Properties from the context menu.

This will open the Context Information Properties window.

  1. In this window, you can choose between three different types of sequence generations and specify the Sequence Details.

A description of these three methods is given below:

  • In Memory: The sequence will be created in memory at the dataflow run-time. The sequence always starts at the specified Start Value in the sequence properties.

    Sequence Details:

    • Start Value – The initial value for the sequence

    • Step – The increment value

  • Database Table: The sequence control information for the database table can be managed within Astera through the Manage Sequences option.

    • Connection: Specify the connection to the database where the sequences will be stored

    • Sequence: Select the sequence from the list of available sequences in the database.

Note: To manage database sequences, go to Menu > Tools > Sequences.

  • Batch Size: Specifies the minimum number of values to be allocated to the sequence.

  • Use Memory Sequence during preview: Prevents the user from breaking the sequence cycle during a data preview by substituting with an in-memory sequence, which does not affect (i.e. increase) the database sequence’s current value.

  • Sequence Object - The sequence control information is read from a special database table coming from SQL Server or Oracle database.

    • Connection: Specify the connection to the database that stores your sequences.

    • Sequence: Select the sequence from the list of available sequences.

    • Use Memory Sequence during previews: Prevents the user from breaking the sequence cycle during a data preview by substituting with an in-memory sequence.

Note: In this case, we will use the In-Memory sequence generator option. Let’s specify the Sequence Details as follows:

Start Value: 0

Step: 1

  1. In the destination object, a new field will be created where the sequence generator value will be mapped.

Note: In this case, the OrderNo field has been created in the Excel Workbook Destination object.

  1. The NextVal field will be mapped to the OrderNo field in the destination object.

  1. You can see the output of the Excel destination object in the Data Preview window.

The sequence has been generated in the new field, OrderNo.

This is how the Sequence Generator Transformation is used in Astera.

Note: We have the Orders table as our source from a. We will map the fields OrderDate, RequiredDate, ShippedDate, ShipVia, and Freight to an object.

Database Table Source
Excel Workbook Destination