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
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      • 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
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      • 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
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    • 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)
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      • IsValidSqlDate (Date)
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      • If (Double)
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      • IsDate (str, strformat)
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      • 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)
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      • Floor (Decimal)
      • Floor (Real)
      • Max (Decimal)
      • Max (Date)
      • Min (Decimal)
      • Min (Date)
      • Max (Real)
      • Max (Integer)
      • Min (Real)
      • Pow (BaseExponent)
      • Min (Integer)
      • RandomReal (Int)
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      • Round (Decimal Integer)
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    • Financial
      • DDB
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      • IPmt
      • IPmt (FV)
      • Pmt
      • Pmt (FV)
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      • SLN
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    • String
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      • TimeToInteger (DateTime)
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      • ToDate Date (DateTime)
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      • 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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    • Regular Expressions
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      • ReplaceRegEx (Integer StartAt)
    • TimeSpan
      • Minutes
      • Hours
      • Days
      • Milliseconds
    • Matching
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  • Report Model
    • User Guide
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      • Field Properties Panel
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      • Report Browser
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    • 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
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        • Authorizing Astera Server APIs
        • Authorizing Avaza APIs in Astera
        • Authorizing Facebook APIs in Astera
        • Authorizing QuickBooks API in Astera
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        • 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
  1. Dataflows
  2. Destinations

SQL Statement Destination

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Last updated 9 months ago

The SQL Statement Destination in Astera Data Stack offers extra flexibility over other destination objects by providing the option to apply a custom INSERT, UPDATE, or DELETE SQL statements to control what will be written to the destination table.

The object can also be used to call stored procedures. Moreover, you can parameterize your SQL statement using the Parameterize Replacement functionality.

Configuring the SQL Statement Destination

  1. Before moving on to the actual configuration, we will have to get an SQL Statement Destination object from the Toolbox. To do so, go to Toolbox > Sources > SQL Statement Destination. In case you are unable to view the Toolbox, go to View > Toolbox or press Ctrl + Alt + X.

  1. Drag and drop the SQL Statement Destination object onto the designer.

The destination object is currently empty because we have yet to map any data fields to it.

  1. To configure the SQL Statement Destination object, right-click on its header and select Properties from the context menu. Alternatively, you can double-click the header of the destination object to go to its Properties.

A new window will open when you click on Properties from the context menu.

Here, you need to configure the properties for the SQL Statement Destination object.

  1. On the Database Connection window, enter the details for the database you wish to connect to.

  • Use the Data Provider drop-down list to specify which database provider you wish to connect to. The required credentials will vary according to your chosen provider.

  • Provide the required credentials. Alternatively, use the Recently Used drop-down list to connect to a recently connected database.

  • Test Connection to ensure that you have successfully connected to the database. A separate window will appear, showing whether your test is successful. Close it by clicking OK, and then click Next.

  1. The next window will present a blank page for you to enter an appropriate SQL statement for the required outcome. This can consist of an INSERT, UPDATE, or DELETE statement that manipulates the data being written to the database.

The curly brackets on the right side of the window indicate that the use of parameters is supported, which implies that you can replace a regular value with a parameterized value that can be changed during runtime.

In this use-case, we will be inserting new records into an existing table, named TESTTABLE, that has three columns: OrderID, CustomerID, and EmployeeID.

Notice the @ symbol in front of a field name. This makes the field appear in the field list inside the object box so that the field can be mapped. The fields that do not have a @ symbol in front of them will not show in the list of fields, but they can still receive values according to the logic of the SQL statement itself.

String fields need to be surrounded by single quotes, whereas Integer fields do not. In this case, CustomerID is a String field, while OrderID and EmployeeID are Integer fields.

The Database Options given at the bottom of the window provide support for transaction management. Checking the Use Transaction option will enable two other sub-options:

  • Always commit transaction on completion: Ensures that the job is completed regardless of any erroneous records.

  • Rollback if there are any errors: Aborts the job in case of one or more erroneous records.

Once you have entered an SQL statement and chosen your desired option, click Next.

  1. On the new Config Parameters window, you can define certain parameters for the SQL Statement Destination object.

These parameters facilitate an easier deployment of flows by excluding hardcoded values and providing a more convenient method of configuration. If left blank, they will assume the default values that were initially assigned to them.

  1. At the end, a General Options window will appear. Here, you are provided with:

    • A text box to add Comments.

    • A set of General Options related to the processing of records.

      • Clear Incoming Record Messages: For any messages coming in from objects preceding the current object to be cleared.

      • Do Not Process Records With Errors: Will not let erroneous records to proceed further for the output.

      • Do Not Overwrite Default Values with Nulls: Ensure that values are not overwritten with null values in the output.

To conclude the configuration, click OK.

For a destination object to work, data fields must be mapped to it from a source. In this case, we will be using an SQL Query Source object to get data from the Orders table in the Northwind database.

  1. Configure the source object and place it next to the SQL Statement Destination object.

  1. Map the required data fields from the source object to the destination object. This can be done in the following ways:

i. By dragging and dropping the parent node of the source object onto that of the destination object.

ii. By individually dragging and dropping the required fields from the source object onto their respective nodes in the destination object.

  1. To preview the output, right-click on the destination object’s header and select Preview Output from the context menu. In this case, you will see the following result:

You can now write data to the destination table by running the dataflow.

This is how we use the SQL Statement Destination object in Astera.