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)
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      • Max (Real)
      • Max (Integer)
      • Min (Real)
      • Pow (BaseExponent)
      • Min (Integer)
      • RandomReal (Int)
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    • Financial
      • DDB
      • FV
      • IPmt
      • IPmt (FV)
      • Pmt
      • Pmt (FV)
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      • SLN
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    • String
      • Center (String)
      • Chr (IntAscii)
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      • AddCDATAEnvelope
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      • Compact (String)
      • Find (Int64)
      • EndsWith (String)
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      • ToTicks (Date dateTime)
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      • ToUtc (Date dateTime)
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      • Week (Date dateTime)
      • Week (DateTimeWithOffset dateTime)
      • Year (Date dateTime)
      • Year (DateTimeWithOffset dateTime)
      • DateToJulian (Date dateTime, Integer length)
      • DateTimeOffsetUtcNow ()
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      • 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
  • Making a GET Request
  • Making a POST Request
  • Making a DELETE Request
  • Making a PUT Request
  • Making a PATCH Request
  1. API Flows
  2. API Consumption
  3. Consume

Method Operations

PreviousREST API BrowserNextPagination

Last updated 11 months ago

In this article, we will be discussing various HTTP methods. We will see how HTTP requests can be made through the REST Client object in Astera.

For our use-cases, we have made use of the Petstore Open-API definition. We can import the API to the REST API Browser using its import URL.

Once done, it automatically establishes various pre-defined endpoints as REST Client objects. They can then be dragged and dropped onto a dataflow for further configurations and transformations.

Note: When imported, a shared connection object will also be created containing the base URL and authentication details.

Making a GET Request

  1. First, we drag and drop the ‘Find pet by ID’ endpoint from the browser onto the dataflow.

  1. To explore the REST Client object for this method, right-click on the object’s header and select Properties.

This will open the REST Client screen where the connection info of your API is defined.

The Shared Connection, Method, and Resource here are already configured. Notice that Resource consists of ‘pet’ along with the ‘petId’ URL parameter.

  1. Click Next.

Here, the ‘petId’ URL parameter follows from the defined resource.

For our use case, we will use this parameter to get details for a pet.

Click Next to proceed to the Output Layout screen, where you can view the Response Layout of your API. There are two ways in which you can generate the output layout if required.

  1. The first one is by providing sample text by clicking the Generate Layout by providing the Sample Text option.

  2. The other way to do this is by running a request by clicking the Generate Layout by running the Request option.

  1. Click Next to proceed to the Pagination Options screen.

For our use case, we have selected None.

  1. Click OK.

  2. You can preview the data by right-clicking on the object and selecting Preview Output from the context menu.

As seen below, the GET request that was made has fetched data according to the user application.

Making a POST Request

Now, let’s try adding a pet to Petstore.

  1. Drag and drop the POST method as a REST Client object and open its Properties.

We will pass the required parameters to the POST request object using a Variables object.

  1. Now, right-click on the REST API Client (addPet) object and select Preview Output.

You can see that the HTTPStatusCode is “200”, which means that the REST API has successfully carried out the action requested by the client. Let’s verify it by making a GET request for the same PetId that we had posted earlier.

You can see that a GET request for PetId, “1”, has returned the same information that we had posted.

Making a DELETE Request

Now, let’s try making a DELETE request.

  1. For this, we will first make a GET request to check whether that pet exists in the Petstore before we try to delete this record. We will pass PetId, “5”, using a ConstantValue object.

  1. Right-click on the REST Client (getPetById) object and select Preview Output.

It has fetched the details of the pet with PetId, “5”, and the status shows that the pet is available on Petstore.

  1. To delete this pet record, we will drag and drop another DELETE REST Client object onto the flow and configure its Properties according to the DELETE method.

  1. Pass PetId, “5”, to the DELETE request object using a ConstantValue object.

  1. Right-click on the REST Client object and select Preview Output. You can see that it has returned HTTPStatusCode, “200”, which indicates successful execution.

Let’s verify it by making a GET request again, and check if the pet with PetId, “5”, has been deleted.

  1. Right-click on the REST API Client (getPetById) object and select Preview Output.

You can see that Astera has returned error 404 which means that there is no pet found with PetId, “5”, and the pet record has been successfully deleted from the Petstore API.

Making a PUT Request

Let us now look at the PUT HTTP Method.

  1. Drag and drop the GET endpoint from the REST API Browser onto the dataflow.

  1. Right-click on the object and select Properties from the context menu.

  2. Click Next, and the Parameters screen will appear.

For this use case, we will be updating the Pet with an ID of ‘1’. Let’s define this ID in the Default Value field.

  1. Click OK and preview the output by right-clicking on the object and selecting Preview Output

As you can see in the preview screen below, the GET method has retrieved the Pet by ID.

  1. Now, drag and drop the PUT endpoint from the REST API Browser onto the dataflow, labeled ‘UpdatePet’.

For our use case, we will be using this object for the PUT method so we can update the status of a pet.

  1. Right-click on the object and select Properties from the context menu.

Our Shared Connection has already been defined.

The HTTP Method is Put, and the Resource to update is a pet.

  1. Click Next, and you will be led to the Parameters screen.

Since we are not defining any specific records here, we will click Next and head to the Input Layout screen, where a layout has already been populated from the imported API definition.

We have defined the status of the pet that we wish to update here. For our use case, we have changed the status from ‘available’ to ‘sold’.

  1. Click Next and you will be led to the Output Layout screen, where the output has already been generated.

If required, an output can be generated by running a request using the available option.

  1. Click OK, right-click on the object, and select Preview Output.

As you can see here, the status of the pet has been updated from ‘available’ to ‘sold’

  1. We will now preview the output of the GET object we have configured to verify if the pet status has been updated.

As you can see, the value has been updated.

Making a PATCH Request

Since the PetStore OpenAPI Definition does not contain a PATCH request, we will be using the GoREST API for this use case.

Let’s make a GET request to see what information is there in the user ID where we want to update something.

  1. To make a GET request, drag and drop the GET REST Client object onto the dataflow.

  1. Pass userID ‘89’ to the id under the Parameters node in the GetUser object using the ConstantValue transformation object.

  1. Right-click the REST Client (GetUser) object’s header and select Preview Output.

Here is what the output looks like:

  1. Drag-and-drop the PatchUser REST Client object to use the PATCH method.

  1. Pass userId ‘89’, and email, ‘updatedemail@astera.com’, using a Variables resource object.

  1. Right-click on the PatchUser object’s header, and select Preview Output.

You can see that the HTTPStatusCode is 200, which means that the REST API has successfully carried out the PATCH request. Let’s verify it by making a GET request for the same userId that we altered.

  1. Right-click the GetUser object’s header and select Preview Output.

As you can see, the request has been successfully carried out and the email address has been updated.

This concludes our discussion on the HTTP method operations in Astera.

To learn more about importing a URL to the REST API Browser, click .

For the Petstore import URL, click .

In this scenario, we want to get information for a pet with PetId, ‘3’. For this, we will pass the relevant PetId using a object.

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Constant Value Transformation