Astera Data Stack
Version 8
Version 8
  • Welcome to Astera Data Stack Documentation
  • Release Notes
    • Astera 8.0 - What's New, What's Fixed, and What's Improved
    • Astera 8.0 - Known Issues
    • Astera 8.1 - Release Notes
    • Astera 8.2 Release Notes
    • Astera 8.3 Release Notes
    • Astera 8.4 Release Notes
    • Astera 8.5 Release Notes
  • Getting Started
    • Astera 8 - Important Considerations
    • Astera 8 - System Requirements
    • Configuring the Server
    • Connecting to a Different Astera Server from the Lean Client
    • Connecting to an Astera Server using Lean Client
    • How to Build a Cluster Database and Create a Repository
    • How to Login from Lean Client
    • Setting up a Server Certificate (.pfx) File in a New Environment
    • Installing Client and Server Applications
    • Licensing Model in Astera 8
    • Migrating from Astera 7.x to Astera 8
    • UI Walkthrough - Astera 8.0
    • User Roles and Access Control
  • Dataflows
    • Sources
      • Data Providers and File Formats Supported in Astera
      • Setting Up Sources
      • COBOL File Source
      • Database Table Source
      • Data Model Query Source
      • Delimited File Source
      • Email Source
      • Excel Workbook Source
      • File Systems Item Source
      • Fixed Length File Source
      • PDF Form Source
      • Report Source
      • SQL Query Source
      • XML/JSON File Source
    • Transformations
      • Introducing Transformations
      • Aggregate Transformation
      • Constant Value Transformation
      • Data Cleanse Transformation
      • Denormalize Transformation
      • Distinct Transformation
      • Database Lookup Transformation
      • Expression Transformation
      • File Lookup Transformation
      • Filter Transformation
      • Join Transformation
      • List Lookup Transformation
      • Merge Transformation
      • Normalize Transformation
      • Passthru Transformation
      • Reconcile Transformation
      • Route Transformation
      • Sequence Generator Transformation
      • Sort Transformation
      • Sources as Transformations
      • Subflow Transformation
      • SQL Statement Lookup Transformation
      • Switch Transformation
      • Tree Join Transformation
      • Tree Transform
      • Union Transformation
    • Destinations
      • Setting Up Destinations
      • Database Table Destination
      • Delimited File Destination
      • Excel Workbook Destination
      • Fixed Length File Destination
      • SQL Statement Destination
      • XML/JSON File Destination
    • Data Logging and Profiling
      • Creating Data Profile
      • Creating Field Profile
      • Data Quality Mode
      • Record Level Log
      • Using Data Quality Rules in Astera
    • Database Write Strategies
      • Database Diff Processor
      • Data Driven Write Strategy
      • Dimension Loader - Database Write
      • Source Diff Processor
    • Text Processors
      • Delimited Parser
      • Delimited Serializer
      • Fixed Length Parser
      • Fixed Length Serializer
      • Language Parser
      • XML JSON Parser
      • XML JSON Serializer
    • Data Warehouse
      • Fact Table Loader
      • Dimension Table Loader
  • WORKFLOWS
    • What Are Workflows?
    • Using the Workflow Designer
    • Creating Workflows in Astera
    • Decision Task
    • EDI Acknowledgement 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
  • 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
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      • Second (DateTimeOffset)
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      • TimeToInteger (DateTime)
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      • 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
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      • UrlEncode
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    • Regular Expressions
      • ReplaceRegEx
      • ReplaceRegEx (Integer StartAt)
    • TimeSpan
      • Minutes
      • Hours
      • Days
      • Milliseconds
    • Matching
      • Soundex
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  • Report Model
    • User Guide
      • Report Model Tutorial
    • Report Model Interface
      • Field Properties Panel
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      • Report Browser
      • Report Options
    • Use Cases
      • Applying Pattern to Line
      • Auto Creating Data Regions and Fields
      • Auto-Parsing
      • Creating Multi-Column Data Regions
      • 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
    • 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 API Browser
        • Making HTTP Requests Through REST API Browser
        • Using REST Client Outside of the Scope of the Project
      • Authorize
        • Authorizing ActiveCampaign API in Astera
        • Authorizing Astera Server APIs
        • Authorizing Avaza APIs in Astera
        • Authorizing Facebook APIs in Astera
        • Authorizing QuickBooks API in Astera
        • Authorizing Square API in Astera
        • Open APIs - Configuration Details
  • Project Management
    • Project Management
      • Astera's Project Explorer
      • Connecting to Source Control
      • Deployment
      • Server Monitoring and Job Management
    • Job Scheduling
      • Scheduling Jobs on the Server
      • Job Monitor
  • Use Cases
    • End-to-End Use Cases
      • Data Integration
        • Using Astera 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
    • Connecting to Amazon Aurora Database
    • Connecting to Amazon RDS Databases
    • Connecting to Amazon Redshift Database
    • Connecting to Cloud Storage
    • Connecting to Google Cloud SQL in Astera
    • Connecting to MariaDB Database
    • Connecting to Microsoft Azure Databases
    • Connecting to MySQL Database
    • Connecting to Netezza Database
    • Connecting to Oracle Database
    • Connecting to PostgreSQL in Astera
    • Connecting to Salesforce Database
    • Connecting to Salesforce - Legacy Database
    • Connecting to SAP HANA Database
    • Connecting to Snowflake Database
    • Connecting to Vertica Database
    • Setting Up IBM DB2 iSeries Connectivity in Astera
  • Miscellaneous
    • Cloud Deployment
      • Deploying Astera on Amazon Web Services
      • Deploying Astera on Microsoft Azure Cloud
      • Deploying Astera on Oracle Cloud
    • Context Information
    • Pushdown Mode
    • Role Based Access Control in Astera
    • Safe Mode
    • Server Command Line Utility
    • SmartMatch Feature
    • Synonym Dictionary File
    • Updating Your License in Astera
    • Using Dynamic Layout/Template Mapping in Astera
    • Using Output Variables in Astera
    • Using the Data Source Browser in Astera
  • Best Practices
    • Astera Best Practices - Dataflows
    • Overview of Cardinality in Data Modeling
    • Cardinality Errors FAQs
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On this page
  • Use Case
  • Using the Database Diff Processor
  1. Dataflows
  2. Database Write Strategies

Database Diff Processor

PreviousDatabase Write StrategiesNextData Driven Write Strategy

Last updated 10 months ago

Database Diff Processor is one of the four Database Write Strategies offered in Astera. Its purpose is to synchronize the data present in two separate datasets.

The object compares the two datasets and performs write actions (insert and update) on the destination table so that both tables contain the same information.

Use Case

In this use case, we have a sample dataset of customers that is stored in a database table. Currently, this dataset contains 10 records, but two more customer records are to be added later on. Furthermore, updated phone numbers are to be added for two other customers.

We want to write the initial dataset to another database table and ensure that whenever the aforementioned changes are made, they are applied to both tables. To achieve this, we will be using the Database Diff Processor object in Astera.

Using the Database Diff Processor

  1. Drag and drop the object from Toolbox > Sources > Database Table Source onto the dataflow designer. Configure this object so that it reads data from the source table.

  1. Drag and drop the Database Diff Processor object from Toolbox > Database Write Strategies > Database Diff Processor onto the dataflow designer. Auto-map all of the elements from the source object to the Database Diff Processor object.

  1. Right-click on the header of the Database Diff Processor object and select Properties.

  1. This will open the Database Connection window. Here, you will have to enter the credentials for the database you want to connect to. Alternatively, you can connect to a recently used database by selecting it from the Recently Used dropdown list.

In this case, we will connect to a test database that contains an empty Customers table.

Once you have entered the required credentials, click Next.

  1. On the next window, you will have to pick a destination table, where the write actions (Insert and Update) will be performed.

In this case, we will pick the empty Customers table that has already been created in this database.

There are a couple of options related to Record Matching at the bottom of the screen:

  • Select a field to be used for matching records between the source table and the destination table. In this case, we will select CustomerID because it cannot change for each customer.

  • Check the Case Sensitive option if you want the comparison to be case sensitive. In this case, we will leave this option unchecked.

Now that the required table and Record Matching options have been selected, click OK to close the configuration window.

  1. Run the dataflow to write your source data to the destination table. To preview the source data, right-click on the Database Table Source object and select Preview Output.

This is what the source data looks like:

To check whether this data has been written to the destination table, right-click on the Database Diff Processor object and go to Database Table > View Table Data.

The destination table will open in a separate tab within Astera.

The data present in the destination table is the same as that in the source table, showing that we have successfully written the data by running the dataflow.

  1. The source dataset has been updated to include two more customer records. Moreover, two other customers have updated their phone numbers. This is what the source data looks like after the changes have been implemented:

Run the dataflow again to apply these changes to the destination table. This is what the destination table should look like when you open it in Astera after running the dataflow again:

The changes that were made to the source table have automatically been applied to the destination table as well, showing that the Database Diff Processor object has achieved its task.

Database Table Source