Azure Data Factory (ADF) OData Connector

In this article you will learn how to integrate OData data to Azure Data Factory (ADF) without coding in just a few clicks (live / bi-directional connection to OData). OData Connector can be used to integrated any REST API which supports OData Standard. You can view tables, read data from tables using this connector. It also comes with some example OData Services to get started..

Using OData Connector you will be able to connect, read, and write data from within Azure Data Factory (ADF). Follow the steps below to see how we would accomplish that.

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See also
OData Connector Connect OData in SSIS SSIS
Connect OData in SSIS
OData Connector Connect OData in SQL Server SQL Server
Connect OData in SQL Server
OData Connector Connect OData in Power BI Power BI
Connect OData in Power BI
OData Connector Connect OData in SSRS SSRS
Connect OData in SSRS
OData Connector Connect OData in Informatica Informatica
Connect OData in Informatica
OData Connector Connect OData in MS Access MS Access
Connect OData in MS Access
OData Connector Connect OData in MS Excel MS Excel
Connect OData in MS Excel
OData Connector Connect OData in SSAS SSAS
Connect OData in SSAS
OData Connector Connect OData in C# C#
Connect OData in C#
OData Connector Connect OData in Python Python
Connect OData in Python
OData Connector Connect OData in JAVA JAVA
Connect OData in JAVA
OData Connector Connect OData in Tableau Tableau
Connect OData in Tableau
OData Connector Connect OData in SAP Crystal Reports SAP Crystal Reports
Connect OData in SAP Crystal Reports
OData Connector Connect OData in ODBC ODBC
Connect OData in ODBC

Create ODBC Data Source (DSN) based on ZappySys API Driver

To get data from OData using Azure Data Factory (ADF) we first need to create a DSN (Data Source) which will access data from OData. We will later be able to read data using Azure Data Factory (ADF). Perform these steps:

  1. Install ZappySys ODBC PowerPack.

  2. Open ODBC Data Sources (x64):
    Open ODBC Data Source

  3. Create a System Data Source (System DSN) based on ZappySys API Driver

    ZappySys API Driver
    Create new System DSN for ZappySys API Driver
    You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version. Furthermore, a User DSN may be created instead, but then you will not be able to use the connection from Windows Services (or any application running under a Windows System Account).

  4. When the Configuration window appears give your data source a name if you haven't done that already, then select "OData" from the list of Popular Connectors. If "OData" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

    ODataDSN
    OData
    ODBC DSN Template Selection

  5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

     No Authentication [Http]

    Fill in all required parameters and set optional parameters if needed:

    ODataDSN
    OData
    No Authentication [Http]
    https://services.odata.org/V3/Northwind/Northwind.svc
    Required Parameters
    Optional Parameters
    ODBC DSN HTTP Connection Configuration

     Windows Authentication [Http]

    Fill in all required parameters and set optional parameters if needed:

    ODataDSN
    OData
    Windows Authentication [Http]
    https://services.odata.org/V3/Northwind/Northwind.svc
    Required Parameters
    Optional Parameters
    ODBC DSN HTTP Connection Configuration

     Basic Authentication [Http]

    Fill in all required parameters and set optional parameters if needed:

    ODataDSN
    OData
    Basic Authentication [Http]
    https://services.odata.org/V3/Northwind/Northwind.svc
    Required Parameters
    UserName Fill in the parameter...
    Password Fill in the parameter...
    Optional Parameters
    RetryMode Fill in the parameter...
    RetryStatusCodeList Fill in the parameter...
    RetryCountMax Fill in the parameter...
    RetryMultiplyWaitTime Fill in the parameter...
    ODBC DSN HTTP Connection Configuration

     NTLM Authentication [Http]

    Fill in all required parameters and set optional parameters if needed:

    ODataDSN
    OData
    NTLM Authentication [Http]
    https://services.odata.org/V3/Northwind/Northwind.svc
    Required Parameters
    UserName (i.e. Domain\UserName) Fill in the parameter...
    Password Fill in the parameter...
    Optional Parameters
    RetryMode Fill in the parameter...
    RetryStatusCodeList Fill in the parameter...
    RetryCountMax Fill in the parameter...
    RetryMultiplyWaitTime Fill in the parameter...
    ODBC DSN HTTP Connection Configuration

     Token Authentication [Http]

    Fill in all required parameters and set optional parameters if needed:

    ODataDSN
    OData
    Token Authentication [Http]
    https://services.odata.org/V3/Northwind/Northwind.svc
    Required Parameters
    Token Fill in the parameter...
    Optional Parameters
    AuthScheme Fill in the parameter...
    AuthHeader Fill in the parameter...
    RetryMode Fill in the parameter...
    RetryStatusCodeList Fill in the parameter...
    RetryCountMax Fill in the parameter...
    RetryMultiplyWaitTime Fill in the parameter...
    ODBC DSN HTTP Connection Configuration

     OAuth Connection for OData API [OAuth]

    Fill in all required parameters and set optional parameters if needed:

    ODataDSN
    OData
    OAuth Connection for OData API [OAuth]
    https://services.odata.org/V3/Northwind/Northwind.svc
    Required Parameters
    Optional Parameters
    GrantType Fill in the parameter...
    OAuthVersion Fill in the parameter...
    ClientId Fill in the parameter...
    ClientSecret Fill in the parameter...
    UserName Fill in the parameter...
    Password Fill in the parameter...
    Scope Fill in the parameter...
    AuthUrl Fill in the parameter...
    TokenUrl Fill in the parameter...
    ReturnUrl Fill in the parameter...
    ExtraAttributesForTokenRequest Fill in the parameter...
    ExtraAttributesForAuthRequest Fill in the parameter...
    RetryMode Fill in the parameter...
    RetryStatusCodeList Fill in the parameter...
    RetryCountMax Fill in the parameter...
    RetryMultiplyWaitTime Fill in the parameter...
    ODBC DSN Oauth Connection Configuration

  6. Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
    ODBC ZappySys Data Source Preview

  7. Click OK to finish creating the data source.

Read data in Azure Data Factory (ADF) from ODBC datasource (OData)

  1. To start press New button:

    Create new Self-Hosted integration runtime

  2. Select "Azure, Self-Hosted" option:

    Create new Self-Hosted integration runtime

  3. Select "Self-Hosted" option:

    Create new Self-Hosted integration runtime

  4. Set a name, we will use "OnPremisesRuntime":

    Set a name for IR

  5. Download and install Microsoft Integration Runtime.

  6. Launch Integration Runtime and copy/paste Authentication Key from Integration Runtime configuration in Azure Portal:

    Copy/paste Authentication Key

  7. After finishing registering the Integration Runtime node, you should see a similar view:

    Check Integration Runtime node status

  8. Go back to Azure Portal and finish adding new Integration Runtime. You should see it was successfully added:

    Integration Runtime status

  9. Go to Linked services section and create a new Linked service based on ODBC:

    Add new Linked service

  10. Select "ODBC" service:

    Add new ODBC service

  11. Configure new ODBC service. Use the same DSN name we used in the previous step and copy it to Connection string box:

    ODataDSN
    DSN=ODataDSN
    Configure new ODBC service

  12. For created ODBC service create ODBC-based dataset:

    Add new ODBC dataset

  13. Go to your pipeline and add Copy data connector into the flow. In Source section use OdbcDataset we created as a source dataset:

    Set source in Copy data

  14. Then go to Sink section and select a destination/sink dataset. In this example we use precreated AzureBlobStorageDataset which saves data into an Azure Blob:

    Set sink in Copy data

  15. Finally, run the pipeline and see data being transferred from OdbcDataset to your destination dataset:

    Run the flow

Create Custom Store Procedure in ZappySys Driver

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Store Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

  1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
    ZappySys Driver - Add Store Procedure

  2. Enter the desired Procedure name and click on OK:
    ZappySys Driver - Add Store Procedure Name

  3. Select the created Store Procedure and write the your desired store procedure and Save it and it will create the custom store procedure in the ZappySys Driver:
    Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here 

    CREATE PROCEDURE [usp_get_orders]
    @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
 AS
    SELECT * FROM Orders where OrderDate >= '<@fromdate>';

    ZappySys Driver - Create Custom Store Procedure

  4. That's it now go to Preview Tab and Execute your Store Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01: 

    Exec usp_get_orders '1996-01-01';

    ZappySys Driver - Execute Custom Store Procedure

Create Custom Virtual Table in ZappySys Driver

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

  1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
    ZappySys Driver - Add Table

  2. Enter the desired Table name and click on OK:
    ZappySys Driver - Add Table Name

  3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

  4. Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
    Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here 

    SELECT
  "ShipCountry",
  "OrderID",
  "CustomerID",
  "EmployeeID",
  "OrderDate",
  "RequiredDate",
  "ShippedDate",
  "ShipVia",
  "Freight",
  "ShipName",
  "ShipAddress",
  "ShipCity",
  "ShipRegion",
  "ShipPostalCode"
FROM "Orders"
Where "ShipCountry"='USA'

    ZappySys Driver - Create Custom Table

  5. That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only: 

    SELECT * FROM "vt__usa_orders_only"

    ZappySys Driver - Execute Custom Virtual Table Query

Conclusion

In this article we discussed how to connect to OData in Azure Data Factory (ADF) and integrate data without any coding. Click here to Download OData Connector for Azure Data Factory (ADF) and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Documentation 

Actions supported by OData Connector

OData Connector support following actions for REST API integration. If some actions are not listed below then you can easily edit Connector file and enhance out of the box functionality.
 List Tables (JSON API)
 List Tables (XML API)
 Generic Read Data (JSON API)
Parameter Description
TableName Read data from specified module (Json Format API)
 Generic Read Data (XML API)
Parameter Description
TableName Read data from specified module (Xml Format API)
 Read [$parent.name$]
 Generic Request
This is generic endpoint. Use this endpoint when some actions are not implemented by connector. Just enter partial URL (Required), Body, Method, Header etc. Most parameters are optional except URL.
Parameter Description
Url API URL goes here. You can enter full URL or Partial URL relative to Base URL. If it is full URL then domain name must be part of ServiceURL or part of TrustedDomains
Body Request Body content goes here
IsMultiPart Check this option if you want to upload file(s) (i.e. POST RAW file data) or send data using Multi-Part encoding method (i.e. Content-Type: multipart/form-data). Multi-Part request allows you to mix key/value and upload files in same request. On the other hand raw upload allows only single file upload (without any key/value) ==== Raw Upload (Content-Type: application/octet-stream) ===== To upload single file in raw mode check this option and specify full file path starting with @ sign in the Body (e.g. @c:\data\myfile.zip ) ==== Form-Data / Multipart Upload (Content-Type: multipart/form-data) ===== To treat your Request data as multi part fields you must specify key/value pairs separated by new lines into RequestData field (i.e. Body). Each key value pair is entered on new-line and key/value are separated using equal sign (=). Preceding and trailing spaces are ignored also blank lines are ignored. If field value has some any special character(s) then use escape sequence (e.g. For NewLine: \r\n, For Tab: \t, For at (@): \@). When value of any field starts with at sign (@) its automatically treated as File you want to upload. By default file content type is determined based on extension however you can supply content type manually for any field using this way [ YourFileFieldName.Content-Type=some-content-type ]. By default File Upload Field always includes Content-Type in the request (non file fields do not have content-type by default unless you supply manually). For some reason if you dont want to use Content-Type header in your request then supply blank Content-Type to exclude this header altogather [e.g. SomeFieldName.Content-Type= ]. In below example we have supplied Content-Type for file2 and SomeField1, all other fields are using default content-type. See below Example of uploading multiple files along with additional fields. file1=@c:\data\Myfile1.txt file2=@c:\data\Myfile2.json file2.Content-Type=application/json SomeField1=aaaaaaa SomeField1.Content-Type=text/plain SomeField2=12345 SomeFieldWithNewLineAndTab=This is line1\r\nThis is line2\r\nThis is \ttab \ttab \ttab SomeFieldStartingWithAtSign=\@MyTwitterHandle
Filter Enter filter to extract array from response. Example: $.rows[*] --OR-- $.customers[*].orders[*]. Check your response document and find out hierarchy you like to extract
Headers Headers for Request. To enter multiple headers use double pipe or new line after each {header-name}:{value} pair

Other App Integration scenarios for OData

OData Connector for SSIS
SSIS
OData Connector for SQL Server
SQL Server
OData Connector for Power BI
Power BI
OData Connector for SSRS
SSRS
OData Connector for Informatica
Informatica
OData Connector for MS Access
MS Access
OData Connector for MS Excel
MS Excel
OData Connector for SSAS
SSAS
OData Connector for C#
C#
OData Connector for Python
Python
OData Connector for JAVA
JAVA
OData Connector for Tableau
Tableau
OData Connector for SAP Crystal Reports
SAP Crystal Reports
OData Connector for ODBC
ODBC

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Zendesk Connector
Zendesk
ManagedEngine ServiceDesk Plus (Zoho) Connector
ManagedEngine ServiceDesk Plus (Zoho)
Zoho CRM Connector
Zoho CRM
Hubspot Connector
Hubspot
Google Sheets Connector
Google Sheets
Stripe Connector
Stripe
YouTube Connector
YouTube
Google BigQuery Connector
Google BigQuery
OneDrive Connector
OneDrive
OData Connector
OData
Amazon Ads Connector
Amazon Ads
Jira Connector
Jira
Zoom Connector
Zoom
Nativo Connector
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Google Drive Connector
Google Drive
SharePoint Online Connector
SharePoint Online
Amazon MWS Connector
Amazon MWS
ElasticSearch Connector
ElasticSearch
Google Calendar Connector
Google Calendar
DropBox Connector
DropBox
REST API Connector
REST API
JSON Connector
JSON
JSON File Connector
JSON File
XML Connector
XML
SOAP Connector
SOAP
XML File Connector
XML File
JDBC-ODBC Bridge Connector
JDBC-ODBC Bridge
Salesforce Connector
Salesforce
CSV Connector
CSV


Documentation 

  • How to connect OData in Azure Data Factory (ADF)?

  • How to get OData data in Azure Data Factory (ADF)?

  • How to read OData data in Azure Data Factory (ADF)?

  • How to load OData data in Azure Data Factory (ADF)?

  • How to import OData data in Azure Data Factory (ADF)?

  • How to pull OData data in Azure Data Factory (ADF)?

  • How to push data to OData in Azure Data Factory (ADF)?

  • How to write data to OData in Azure Data Factory (ADF)?

  • How to POST data to OData in Azure Data Factory (ADF)?

  • Call OData API in Azure Data Factory (ADF)

  • Consume OData API in Azure Data Factory (ADF)

  • OData Azure Data Factory (ADF) Automate

  • OData Azure Data Factory (ADF) Integration

  • Integration OData in Azure Data Factory (ADF)

  • Consume real-time OData data in Azure Data Factory (ADF)

  • Consume realtime OData API data in Azure Data Factory (ADF)

  • OData ODBC Driver | ODBC Driver for OData | ODBC OData Driver | SSIS OData Source | SSIS OData Destination

  • Connect OData in Azure Data Factory (ADF)

  • Load OData in Azure Data Factory (ADF)

  • Load OData data in Azure Data Factory (ADF)

  • Read OData data in Azure Data Factory (ADF)

  • OData API Call in Azure Data Factory (ADF)