Informatica OneDrive Connector

In this article you will learn how to integrate OneDrive data to Informatica without coding in just a few clicks (live / bi-directional connection to OneDrive). OneDrive Connector can be used to integrate OneDrive and your defined data source, e.g. Microsoft SQL, Oracle, Excel, Power BI, etc. Get, write, delete OneDrive data in a few clicks!.

Using OneDrive Connector you will be able to connect, read, and write data from within Informatica. Follow the steps below to see how we would accomplish that.

Download  Help File  Buy 

NOTE: If you need to consume API which is not listed on connector library page then please refer to the below article links. It talks about how to read / write pretty much any API and not just OneDrive API. It explains various API tips / tricks using our other Universal Drivers not mentioned in this article (i.e. ZappySys JSON / XML and CSV Drivers).
How to read API data in Informatica (Call JSON / XML SOAP Service)
How to write data to API (POST) in Informatica (Call JSON / XML SOAP Service)

Read/Write OneDrive data in Informatica

Introduction

Informatica PowerCenter LogoJSON / REST API is becoming more and more popular each day as everyone embrace cloud-centric services. This article is primarily focused on Informatica users who want to access OneDrive data or may be other API Integration in Informatica. However many tips and techniques described in this article will help you to understand how to integrate XML SOAP / JSON / REST API in other ETL / Reporting apps such as Tableau, Power BI, SSRS, Talend, Excel and many more.

After going through this article you will learn how to Read OneDrive / JSON / REST API data in Informatica and understand the concept of JSON / REST API. We will go through many screenshots and step-by-step examples to demonstrate  JSON File or REST API integration in Informatica PowerCenter.

XML / JSON can come from a local file or REST API service (internal or public) so we will include both examples in this article (i.e. Read JSON files in Informatica,  Import REST API in Informatica). So let’s get started. Next article will focus on how to write data to API in Informatica (POST / PUT data)

Requirements

This article assumes that you have full filled following basic requirements.

  1. Download Install ZappySys ODBC PowerPack (API Driver for OneDrive included)
  2. Install Informatica PowerCenter Client Tools (e.g. Workflow and Mapping Designers)
  3. Access to a Relational database such as SQL Server (or use any of your choice e.g. Oracle, MySQL, DB2 ). If nothing available then you can use flat file target.

High level Steps for Import OneDrive data using Informatica (Read OneDrive API data)

Before we dive deep to learn how to load OneDrive data in Informatica (i.e. OneDrive to SQL Table), Here the summary of high-level steps you need to perform to import JSON Files or REST API in Informatica.

  1. Download and Install ZappySys API Driver (for connecting to OneDrive)
  2. Create ODBC DSN using ZappySys API driver and choose OneDrive Connector during Wizard
  3. Create Relational > ODBC Connection in Informatica Workflow designer (Point to DSN we created in the previous step)
  4. Import JSON Source Definition in the Informatica Mapping Designer > Sources Tab
  5. Import Target Table Definition in the Informatica Mapping Designer > Targets Tab
  6. Create source to target mapping in Mappings tab
  7. Save mapping (name m_API_to_SQL_Load )
  8. Create Session using the mapping we created in the previous step
  9. Save Workflow and execute to load OneDrive data into SQL Table. Verify your data and log.
    Loading JSON data to SQL Table in Informatica (Import REST API or JSON Files)

    Loading OneDrive data to SQL Table in Informatica (Import REST API or JSON Files)

Video Tutorial – Read any API / JSON data in Informatica (Load OneDrive to SQL Table)

Below video is not about OneDrive API but its showing API access in general (for any API). By watching following ~5 min video can learn steps listed in this article to load JSON API data into SQL Server Table using ZappySys JSON Driver. You can go though full article to learn many useful details not covered in this video.

Getting Started – Import OneDrive to SQL Server in Informatica

Now let’s get started. For example purpose, we will read data from OneDrive and load data into SQL Server Table using Informatica Workflow.

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

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

  1. Install ZappySys ODBC PowerPack.

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

  3. Create a User Data Source (User 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.
  4. When the Configuration window appears give your data source a name if you haven't done that already, then select "OneDrive" from the list of Popular Connectors. If "OneDrive" 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:

    OneDriveDSN
    OneDrive
    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.

    OAuth App must be created in Microsoft Azure AD. These settings typically found here https://docs.microsoft.com/en-us/graph/auth-register-app-v2. [API Help..]

    Steps to get OneDrive Credentials

    Firstly, login into Azure Portal and there create an OAuth application:

    1. Go to Azure Portal and login there.
    2. Then go to Azure Active Directory.
    3. On the left side click menu item App registrations
    4. Then proceed with clicking New registration.
    5. Enter a name for your application.
    6. Select one of Accounts in this organizational directory only as supported account type to access data in your company.
    7. In Redirect URI section leave option selected at Web.
    8. In nearby textbox enter https://login.microsoftonline.com/common/oauth2/nativeclient as Redirect URI or any other valid redirect URL, e.g. https://zappysys.com/oauth
    9. Use this Redirect URI in Redirect URL grid row.
    10. Copy Application (client) ID and paste it into API Connection Manager configuration grid in Client ID row.
    11. Then click on Endpoints link and copy first URL to Authorization URL and second one to Token URL in configuration grid. Usually they look similar to these:
      • https://login.microsoftonline.com/daed1250-xxxx-xxxx-xxxx-ef0a982d3d1e/oauth2/v2.0/authorize
      • https://login.microsoftonline.com/daed1250-xxxx-xxxx-xxxx-ef0a982d3d1e/oauth2/v2.0/token
      • https://login.microsoftonline.com/common/oauth2/v2.0/authorize
      • https://login.microsoftonline.com/common/oauth2/v2.0/token
    12. Close "Endpoints" and create a Client Secret by clicking Certificates & secrets.
    13. Proceed by clicking New client secret and setting expiration period. Copy the client secret and paste it into configuration grid in Client Secret row.
    14. Use these scopes in Scopes field: offline_access Files.Read Files.Read.All Files.ReadWrite Files.ReadWrite.All openid profile User.Read email
    15. Click Generate Token to generate tokens.
      NOTE: If you are planning to use your current data connection/token for automated processes, we recommend that you use a generic account for token generation when the login box appears (e.g. sales_automation@mycompany.com instead of bob_smith@mycompany.com). When you use a personal account which is tied to a specific employee profile and that employee leaves the company, the token may become invalid and any automated processes using that token will fail. Another potentially unwanted effect of using a personal token is incorrect logging; the API calls (e.g. Read, Edit, Delete, Upload) made with that token will record the specific user as performing the calls instead of an automated process.
    16. That's it!

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

    OneDriveDSN
    OneDrive
    User Credentials [OAuth]
    https://graph.microsoft.com/v1.0
    Required Parameters
    Authorization URL Fill in the parameter...
    Token URL Fill in the parameter...
    Client ID Fill in the parameter...
    Scope Fill in the parameter...
    Optional Parameters
    Client Secret Fill in the parameter...
    Refresh Token File Path Fill in the parameter...
    ReturnUrl Fill in the parameter...
    RetryMode Fill in the parameter...
    RetryStatusCodeList Fill in the parameter...
    RetryCountMax Fill in the parameter...
    RetryMultiplyWaitTime Fill in the parameter...
    Login Prompt Option Fill in the parameter...
    ODBC DSN Oauth Connection Configuration

    OAuth App must be created in Microsoft Azure AD. These settings typically found here https://docs.microsoft.com/en-us/graph/auth-v2-service [API Help..]

    Steps to get OneDrive Credentials

    Firstly, login into Azure Portal and there create an OAuth application:

    1. Go to Azure Portal and login there.
    2. Then go to Azure Active Directory.
    3. On the left side click menu item App registrations
    4. Then proceed with clicking New registration.
    5. Enter a name for your application.
    6. Select one of Accounts in this organizational directory only as supported account type to access data in your company.
    7. In Redirect URI section leave option selected at Web.
    8. Copy Application (client) ID and paste it into API Connection Manager configuration grid in Client ID row.
    9. Then click on Endpoints link and copy second, Token, URL to Token URL field in configuration grid. Usually they look similar to these:
      • https://login.microsoftonline.com/daed1250-xxxx-xxxx-xxxx-ef0a982d3d1e/oauth2/v2.0/token
      • https://login.microsoftonline.com/common/oauth2/v2.0/token
    10. Close "Endpoints" and create a Client Secret by clicking Certificates & secrets.
    11. Proceed by clicking New client secret and setting expiration period. Copy the client secret and paste it into configuration grid in Client Secret row.
    12. Go to API Permissions section and add Microsoft Graph permissions. Then and add Drive permissions, e.g. Files.Read.All, Files.ReadWrite.All.
    13. Use these scopes in Scopes field: offline_access Files.Read Files.Read.All Files.ReadWrite Files.ReadWrite.All openid profile User.Read email
    14. Finally, Grant admin consent for your domain for your permissions.
    15. That's it!

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

    OneDriveDSN
    OneDrive
    Application Credentials [OAuth]
    https://graph.microsoft.com/v1.0
    Required Parameters
    Token URL Fill in the parameter...
    Client ID Fill in the parameter...
    Client Secret Fill in the parameter...
    Optional Parameters
    Scope 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.

Create Connection in Informatica Workflow Designer

Once you create DSN using API Driver our next step is to define a connection for OneDrive source in Informatica PowerCenter Workflow designer.

  1. Open Workflow designer [W] icon
  2. Goto Connections > Relational
    Create new connection for JSON in Informatica

    Create a new connection for OneDrive in Informatica

  3. Click New and select ODBC
    Select ODBC connection type in Informatica (Using ZappySys JSON ODBC DSN)

    Select ODBC connection type in Informatica (Using ZappySys API ODBC DSN)

  4. Now on the ODBC connection setup enter connection name, some fake userid / password (this is a required field but its ignored by JSON Driver)
  5. In the Connection String field enter the exact same name of DSN (Open ODBC Data Sources UI to confirm)
    Configure OneDrive connection in Informatica for REST API – Using ZappySys API ODBC Driver

    Configure OneDrive connection in Informatica for REST API – Using ZappySys API Driver

  6. Click OK to close the connection properties.

That’s it. Now we ready to move to next step (define source and target in Mapping Designer).

Import OneDrive Source Definition in Informatica Mapping Designer

Now let’s look at steps to import OneDrive table definition.

  1. Open Informatica Mapping Designer (Click [D] icon)
  2. Click on Source Icon to switch to Sources designer
  3. From the top menu > Click on Sources > Import from Database
    Import JSON Source definition in Informatica Mapping Designer (JSON file or REST API)

    Import OneDrive Source definition in Informatica Mapping Designer (JSON file or REST API)

  4. Select ODBC data source from the dropdown (Find out DSN we created earlier to use as JSON Source)
  5. Click Connect button to get a list of tables. Any array node is listed as a table. Also, you will see array node with parent columns (e.g. value_with_parent). You may get some warning like below but they are harmless so just ignore by clicking OK.
    DLL name entry missing from C:\Informatica\PowerCenter8.6.1\client\bin\powrmart.ini Section = ODBCDLL Entry = ZappySys JSON Driver
    —————————————————-
    Using EXTODBC.DLL to support ZappySys JSON Driver. For native support of ZappySys JSON Driver make an entry in the .ini file.
    Select JSON Source Table in Informatica Mapping Designer (JSON file or REST API)

    Select OneDrive Source Table in Informatica Mapping Designer (JSON file or REST API)

  6. Select Table you wish to get (You can filter rows by custom SQL query. We will see later in this article how to do)
  7. Optionally once table structure is imported you can rename it
    Rename imported table definition in Informatica Source Designer

    Rename imported table definition in Informatica Source Designer

  8. That’s it, we are now ready to perform similar steps to import Target table structure in the next section.

Import SQL Server Target Definition in Informatica Mapping Designer

Now let’s look at steps to import Target table definition (very similar to the previous section, the only difference is this time we will select DSN which points to SQL Server or any other Target Server).

Now lets look at steps to import target table definition in Informatica mapping designer.

  1. In the Mapping Designer, Click on Target Icon to switch to Target designer
  2. From the top menu > Click on Targets > Import from Database
  3. Select DSN for your Target server (if DSN doesn’t exist then create one by opening ODBC Sources just like we created one for JSON API source (see the previous section about creating DSN).
    Import target Table Definition in informatica

    Import target Table Definition in informatica

  4. Enter your userid , password and Schema name and click Connect to see tables
  5. Select Table name to and click OK import definition.
    Import Target SQL Table Definition in Informatica - Select table from the list

    Import Target SQL Table Definition in Informatica – Select table from the list

Create Source to Target Mapping in Informatica (Import JSON to SQL Server)

Once you have imported source and target table definition, we can create mapping and transformation to load data from JSON to SQL Table.

  1. First open Mapping Designer (Click [D] icon)
  2. Drag JSON Source from sources folder
  3. Drag SQL Table from Targets folder
  4. Map desired columns from Source to target
    Define Source to Target mapping for JSON to SQL Table load in Informatica

    Define Source to Target mapping for OneDrive to SQL Table load in Informatica

  5. For certain columns you may have to do datatype conversion. For example to convert OrderDate form nstring to DataTime you have to use Expression Transform like below and map it to target. In below example, our JSON has date format (e.g. 2018-01-31 12:00:00 AM ). To import this to DateTime field in SQL server we need to convert it using TO_DATE function. Use double quotes around T to make this format working.
    TO_DATE(OrderDate,'YYYY-MM-DD H12:MI:SS AM')
    
     --For ISO use below way
                    TO_DATE(OrderDate,'YYYY-MM-DD"T"HH24:MI:SS')
    Informatica JSON to SQL Table Mapping - Datatype conversion (nstring to datetime)

    Informatica OneDrive to SQL Table Mapping – Datatype conversion (nstring to datetime)

  6. Once you done with mapping save your mapping and name it (i.e. m_Api_To_SQL)
  7. Now lets move to next section to create workflow.

Create Workflow and Session in Informatica

Now the final step is to create a new workflow. Perform following steps to create workflow which with a session task to import JSON data into SQL table.

  1. Open workflow designer by click [W] icon.
  2. Launch new workflow creation wizard by click Workflow top menuWizard
    name your workflow (e.g. wf_Api_Tp_Sql_Table_Import)

    Creating Informatica Workflow - Wizard UI (Import JSON data to SQL Table)

    Creating Informatica Workflow – Wizard UI (Import OneDrive data to SQL Table)

  3. Finish the wizard and double-click the Session to edit some default properties.
  4. First change Error settings so we fail session on error (By default its always green)
    Fail Informatica Session on error (JSON to SQL Load)

    Fail Informatica Session on error (OneDrive data to SQL Load)

  5. Select JSON connection for Source
    Select JSON Source Connection in Informatica - JSON File / REST API Load to SQL Table

    Select OneDrive Source Connection in Informatica – Load OneDrive data to SQL Table

  6. Change default Source query if needed. You can pass parameters to this query to make it dynamic.
    Modify JSON Source SQL query - Pass parameters, change URL, set filter etc

    Modify OneDrive Source SQL query – Pass parameters, change URL, set filter etc

  7. Select Target connection of SQL Target Table
    Select SQL Target Connection in Informatica - JSON File / REST API Load to SQL Table

    Select SQL Target Connection in Informatica – Load OneDrive data to SQL Table

  8. Save workflow
  9. That’s it. We ready to run our first workflow to load JSON data to SQL.

Execute Workflow and Validate Log in Informatica

Now once you are done with your workflow, execute it to see the log.

Loading JSON data to SQL Table in Informatica (Import REST API or JSON Files)

Loading OneDrive data to SQL Table in Informatica (Import REST API or JSON Files)

 

POST data to OneDrive in Informatica

There will be a time when you like to send Source data to REST API or SOAP Web Service. You can use below Query for example. For detailed explanation on how to POST data in Informatica check this article.

Video Tutorial – How to POST data to REST API in Informatica

Here is detailed step by step video on REST API POST in informatica PowerCenter

 

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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

  5. Let's generate the SQL Server Query Code to make the API call using store procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
    As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.

    SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

    ZappySys Driver - Generate SQL Server Query

  6. Now go to SQL served and execute that query and it will make the API call using store procedure and provide you the response.
    ZappySys Driver - Generate SQL Server Query

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.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

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

  6. Let's generate the SQL Server Query Code to make the API call using store procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
    As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.

    SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC [usp_get_orders] ''1996-01-01''')

    ZappySys Driver - Generate SQL Server Query

  7. Now go to SQL served and execute that query and it will make the API call using store procedure and provide you the response.
    ZappySys Driver - Generate SQL Server Query

Conclusion

In this article we discussed how to connect to OneDrive in Informatica and integrate data without any coding. Click here to Download OneDrive Connector for Informatica 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).

Download OneDrive Connector for Informatica Documentation 

Actions supported by OneDrive Connector

OneDrive 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 Drives
   [Read more...]
 Read Drive
   [Read more...]
Parameter Description
DriveId Specify a drive
 List Root
   [Read more...]
Parameter Description
DriveId Specify a drive
 Lists Folder
   [Read more...]
Parameter Description
DriveId Specify a drive
FolderId Specify a folder
 List Excel Files
   [Read more...]
Parameter Description
DriveId Specify a drive
 List Excel Worksheets (Tabs)
   [Read more...]
Parameter Description
DriveId Specify a drive Id to search items in
FileId Specify a drive Id to search items in
 Read Excel Worksheet (Auto Detect Range)
Use this endpoint to read data from a Sheet without supplying address range (e.g. A1:D100). This endpoint auto detects address range based on used cells in a sheet.    [Read more...]
Parameter Description
DriveId Specify a drive Id to search items in
FileId Specify a file id
SheetId Specify a sheet id or name
AutoDetectByValue Auto detect cell range based on values only and do not consider cell formatting (for empty values) to detect the range.
Option Value
true true
false false
 Read Excel Worksheet
   [Read more...]
Parameter Description
DriveId Specify a drive Id
FileId Specify a file id or name
SheetId Specify a sheet id or name
Range
 Download File
   [Read more...]
Parameter Description
DriveId Specify a drive Id
FileId Specify a file id
 Upload File
Don't forget to set up    [Read more...]
Parameter Description
DriveId Specify a drive Id
SourceFilePath Specify a disk file path
TargetFilePath Specify Target file path
 Delete Item
   [Read more...]
Parameter Description
DriveId Specify a drive Id
ItemId Specify a drive Id
 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.    [Read more...]
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. If some API requires you to pass Content-Type: multipart/form-data rather than multipart/form-data then manually set Request Header =&gt; Content-Type: multipart/mixed (it must starts with multipart/ else will be ignored). 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

OneDrive Connector Examples for Informatica Connection

This page offers a collection of SQL examples designed for seamless integration with the ZappySys API ODBC Driver under ODBC Data Source (36/64) or ZappySys Data Gateway, enhancing your ability to connect and interact with Prebuilt Connectors effectively.

List drives    [Read more...]

Lists all drives

SELECT * FROM Drives

Get drive    [Read more...]

Gets info about drive

SELECT * FROM get_drive
WITH (DriveId='b!GtLQTMU726XXXXY5F2BBNi14')
--You can get DriveId by selecting from 'Drives' table.

List root    [Read more...]

Lists items at a root level

SELECT * FROM list_root
WITH (DriveId='b!GtLN726LE0eY5F2BBNi14wa')
--You can get DriveId by selecting from 'Drives' table.

List items in a folder    [Read more...]

Lists items in a folder

SELECT * FROM list_folder
WITH (DriveId='b!GtLN726LE0eY5F2BBNi14wa',
      FolderId='atLNa26LE0eYFa2BeNi1awa')
--You can get DriveId by selecting from 'Drives' table.
--You can get FolderId by selecting from 'list_root' table OR selection from 'list_folder'.

List folders in a folder    [Read more...]

Lists folders in a folder

SELECT * FROM list_folder
WITH (DriveId='b!GtLN726LE0eY5F2BBNi14wa',
      FolderId='atLNa26LE0eYFa2BeNi1awa',
      Filter='$.value[?(@.folder)]')
--You can get DriveId by selecting from 'Drives' table.
--You can get FolderId by selecting from 'list_root' table OR selection from 'list_folder'.

List files in a folder    [Read more...]

Lists files in a folder

SELECT * FROM list_folder
WITH (DriveId='b!GtLN726LE0eY5F2BBNi14wa',
      FolderId='atLNa26LE0eYFa2BeNi1awa',
      Filter='$.value[?(@.file)]')
--You can get DriveId by selecting from 'Drives' table.
--You can get FolderId by selecting from 'list_root' table OR selection from 'list_folder'.

List Excel files    [Read more...]

Lists Excel files in a specified drive

SELECT * FROM list_excel_files
WITH (DriveId='b!GtLN726LE0eY5F2BBNi14')
--You can get DriveId by selecting from 'list_drives' endpoint.

List Excel file Worksheets    [Read more...]

Enumerates Worksheets that are part of Excel file

SELECT * FROM list_excel_worksheets
WITH (DriveId='b!GtLN726LE0eY5F2BBNi14'
     ,FileId='01SUOJPKECYDDVFZWXXXXXXXXXXXXXXXXX')
--DriveId can be retrieved by selecting from 'list_drives' endpoint.
--FileId can be retrieved by selecting from 'list_excel_files' endpoint.

Read Excel Worksheet data - Auto Detect Range    [Read more...]

Reads an Excel file without supplying Cell Address Range (It auto detects based on first and last cell)

SELECT * FROM get_excel_worksheet_autodetect
WITH (
         DriveId='b!GtLN726LE-XXXXXXXXXXX'
  	    ,FileId='01SUOJPFXXXXXXXXXXXXXXXXXX'
	    ,SheetId='Sheet1' --Id or Name
	    ,AutoDetectByValue='true'
		,ArrayTransEnableCustomColumns='True' --set this to False if No header in first row
		)
--DriveId can be retrieved by selecting from 'Drives' table.
--FileId can be retrieved by selecting from 'list_files' endpoint.
--SheetId can be retrieved by downloading Excel file and discovering what sheets exist or by selecting from 'list_excel_worksheets' endpoint.

Read Excel Worksheet data for a specified Cell Address Range    [Read more...]

Reads an Excel file from a specified Cell Range. To automatically read without cell range use other endpoint get_excel_worksheet_autodetect

SELECT * FROM get_excel_worksheet
WITH (
        DriveId='b!GtLN726LE-XXXXXXXXXXX'
  	   ,FileId='01SUOJPFXXXXXXXXXXXXXXXXXX'
	   ,SheetId='Sheet1' --Id or Name
	   ,Range='A1:K10000'
	   ,ArrayTransEnableCustomColumns='True' --set this to False if No header in first row
	   )
--DriveId can be retrieved by selecting from 'Drives' table.
--FileId can be retrieved by selecting from 'list_files' endpoint.
--SheetId can be retrieved by downloading Excel file and discovering what sheets exist or by selecting from 'list_excel_worksheets' endpoint.
--Range should be set to Excel-type of range where data is located.

Upload a file    [Read more...]

Uploads a file to a OneDrive

SELECT * FROM upload_file
WITH (DriveId='b!GtLN726LE0eY5F2BBNi14'
     ,SourceFilePath='C:\My files\Employees\List.xls'
     ,TargetFilePath='Uploads/Employees/List.xls')
--DriveId can be retrieved by selecting from 'list_drives' endpoint.

Download a file    [Read more...]

Downloads a file from OneDrive

SELECT * FROM download_file
WITH (DriveId='b!GtLN726LE0eY5F2BBNi14'
,FileId='01SUOJPKHXMPKD2UXXXXXXXXXXXXXXXXXX'
,TargetFilePath='C:\My files\Employees\List.xlsx')
--DriveId can be retrieved by selecting from 'list_drives' endpoint.
--FileId can be retrieved by selecting from 'list_files' endpoint.

Delete a file/folder    [Read more...]

Deletes a file or folder in OneDrive

SELECT * FROM delete_item
WITH (DriveId='b!GtLN726LE0eY5F2BBNi14'
     ,ItemId='01SUOJPKHXMPKD2UXXXXXXXXXXXXXXXXXX')
--DriveId can be retrieved by selecting from 'list_drives' endpoint.
--FileId can be retrieved by selecting from 'list_folder' or 'list_root' endpoints.

Other App Integration scenarios for OneDrive

Other Connectors for Informatica


Download OneDrive Connector for Informatica Documentation 

  • How to connect OneDrive in Informatica?

  • How to get OneDrive data in Informatica?

  • How to read OneDrive data in Informatica?

  • How to load OneDrive data in Informatica?

  • How to import OneDrive data in Informatica?

  • How to pull OneDrive data in Informatica?

  • How to push data to OneDrive in Informatica?

  • How to write data to OneDrive in Informatica?

  • How to POST data to OneDrive in Informatica?

  • Call OneDrive API in Informatica

  • Consume OneDrive API in Informatica

  • OneDrive Informatica Automate

  • OneDrive Informatica Integration

  • Integration OneDrive in Informatica

  • Consume real-time OneDrive data in Informatica

  • Consume realtime OneDrive API data in Informatica

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

  • Connect OneDrive in Informatica

  • Load OneDrive in Informatica

  • Load OneDrive data in Informatica

  • Read OneDrive data in Informatica

  • OneDrive API Call in Informatica