In this article, you’ll learn how to connect SSIS PowerPack (ZappySys) to AliPay OpenAPI to call REST endpoints from SSIS. We’ll focus on the practical integration pattern AliPay requires: sending requests to the OpenAPI gateway with the correct parameters and a valid RSA2 signature, then parsing JSON responses in SSIS.

AliPay OpenAPI basics (what SSIS must send)

AliPay OpenAPI calls typically go through a single gateway endpoint:

• Sandbox gateway:
  

  https://openapi-sandbox.dl.alipaydev.com/gateway.do

A request is built from:

• Standard parameters (for example: app_id, method, charset, sign_type, timestamp, version)
• biz_content (usually JSON)
• sign (a signature generated from the parameters using RSA/RSA2—AliPay recommends RSA2)

AliPay requires you to construct a “string to sign” from parameters and attach sign and sign_type to the request, then validate/verify responses using the AliPay public key.

High-level integration pattern in SSIS

Because AliPay signing is mandatory, the most reliable SSIS approach is a two-step pattern:

1. Generate the signature (RSA2) for the request parameters.
2. Call the AliPay gateway from ZappySys (REST API Task or REST API Source), passing the signed parameters.

ZappySys components support custom HTTP methods, headers, request bodies, and advanced options—so they work well once you have the signed payload ready.

Steps

Start in the AliPay Sandbox

AliPay strongly recommends using the sandbox for development and debugging. In the sandbox, you must:

• An AliPay Developer Account
• An AliPay App ID
• Use the sandbox gateway URL
• RSA2 Private Key (generated in AliPay developer console)
• AliPay Public Key (for verification)
• Access to the AliPay Sandbox environment (recommended for testing)

Decide where you will generate the RSA2 signature

You have three common options:

• Option A (Recommended): SSIS Script Task (C#) to generate signature
  Use a Script Task before the ZappySys call to build parameters and compute sign.
• Option B: Use an AliPay SDK in a small helper app
  Run it via Execute Process Task to output signed parameters (JSON/text), then pass them to ZappySys.
• Option C: Use a signing microservice
  SSIS calls your internal service to get sign, then calls AliPay.

AliPay’s documentation emphasizes the signature process and verification using the AliPay public key.

Example: What a signed AliPay request looks like

AliPay’s gateway model is “parameters + signature.” Conceptually, your final request includes:

• app_id
• method (the API name you’re calling)
• charset (often utf-8)
• sign_type (recommended RSA2)
• timestamp
• version
• biz_content (JSON)
• sign (computed over the canonicalized parameter string)

AliPay documents that sign and sign_type are appended after creating the string to be signed, and verification uses the AliPay public key.

Configure the ZappySys REST API Task (Control Flow)

Use this when operating (e.g., creating a payment, refunding, or querying).

1. Drag ZappySys REST API Web Service Task into Control Flow.
2. Set the task:
   • Method: POST (commonly used with AliPay gateway)
   • URL:
     

     https://openapi-sandbox.dl.alipaydev.com/gateway.do

   • Headers: use
     

     Content-Type: application/x-www-form-urlencoded

   • Body: form-encoded parameters; use this format: key1=value1&key2=value2…

     app_id=YOUR_APP_ID&method=alipay.trade.query&charset=utf-8&sign_type=RSA2&timestamp=2026-02-20 10:00:00&version=1.0&biz_content={"out_trade_no":"202602200001"}&sign=GENERATED_SIGNATURE

3. Click Test Request/Response to confirm you get a valid JSON response.
   

   Alipay REST API

Troubleshooting common AliPay + SSIS issues

• invalid-signature / missing-signature: most often caused by parameter ordering, incorrect URL-encoding, wrong key pair, or using sandbox keys against production (or vice versa).
• Wrong gateway: sandbox and production are fully isolated—ensure your app_id,keys, and gateway host match the environment.
• Encoding issues: confirm UTF-8 everywhere and ensure parameters are encoded exactly once before submission.
• Parsing JSON: use ZappySys JSON Source preview and JSONPath filters to flatten nested objects.

Security best practices

• Store private keys securely (SSIS variables protected, encrypted config, or secret vaults).
• Do not hardcode secrets in packages.
• Use a sandbox for development, then switch to production only after full validation.

Conclusion

Download SSIS PowerPack today and see for yourself how easy it is to connect SSIS PowerPack (ZappySys) to AliPay is absolutely achievable once you treat AliPay’s OpenAPI as a signed gateway integration. The key is generating a correct RSA2 signature for every request, then using ZappySys REST components to send the parameters and parse responses.

Still need help?

If the issue persists, please get in touch with our support team:

• Live Chat: Open the chat widget (bottom right of this page)
• Email: support@zappysys.com
• Support Center: Support | ZappySys

The post SSIS tutorial: How to connect to AliPay appeared first on ZappySys Blog.

OpenAI, the creators of ChatGPT, provide both a web interface and an API for seamless integration of their tools into applications. This article provides a comprehensive guide on how to establish a connection with the OpenAI API in SSIS using ZappySys JSON Source, enabling seamless data integration and retrieval.

Prerequisites

Before we perform steps listed in this article, you will need to make sure following prerequisites are met:

1. SSIS designer installed. Sometimes it is referred as BIDS or SSDT (download it from Microsoft site).
2. Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
3. Make sure ZappySys SSIS PowerPack is installed (download it).
4. Optional (If you want to Deploy and Schedule ) – Deploy and Schedule SSIS Packages

Step-by-step guide to making a ChatGPT Rest API call

How to get an OpenAI API Key for ChatGPT

First, obtain your API key from OpenAI. This key is required for authenticating your requests.

To access the services, you will be required to set up an account with OpenAI. Click here to create your account. Once your account has been successfully created, proceed to log in to your OpenAI account.

You can find the API key by following these steps:

1. Navigate to the top right corner of the screen.
2. Click on your account name.
3. From the drop-down menu, select “API Keys.”
4. Alternatively, you can directly access the API Keys section by clicking here.

To generate a new secret key, please follow these steps:

1. Go to the API Keys page.
2. Look for the “Create new secret key” button.
3. Click the button to generate a new secret key.

Generate a new key

Upon generation, your API key will be visible on the screen. It’s crucial to copy the key and store it in a secure location immediately, as it will not be displayed again for security purposes.

The new key

Now that you have your API key, you can begin utilizing it to make calls with your components. A preliminary example involves retrieving a list of all available models in OpenAI. For detailed instructions, please refer to the API documentation available here.

ChatGPT Rest API call using JSON Source

1. Drag and Drop the SSIS Data Flow Task from the SSIS Toolbox.

Drag and drop Data flow task

2. Double-click on the DataFlow task to see the DataFlow designer surface.

3. From the SSIS toolbox drag and drop ZS JSON Source on the dataflow designer surface.

Drag and drop a JSON source

4. We will use this on the URL path:

https://api.openai.com/v1/models

5. In the HTTP headers grid add the following values by clicking Raw Edit button :

Authorization: Bearer YOUR_OPENAI_API_KEY
OpenAI-Organization: org-YQ9qpxxxxxxxxxxxxgoPi

6. Select your preferred Array Filter, simply click the “Select Filter” button. for this API call we need to select the

$.data[*]

7. Final step: Click ‘Preview’ to initiate the ChatGTP Rest API call. You will also find a demonstration within our component, along with the resulting output from the call, below.

ChatGPT call

That’s it the configuration for the ChatGPT Rest API call has been completed successfully.

Load ChatGPT data in SQL Server using Upsert Destination (Insert or Update)

ZappySys SSIS PowerPack makes it easy to load data from various sources such as REST, SOAP, JSON, XML, CSV or from other source into SQL Server, or PostgreSQL, or Amazon Redshift, or other targets. The Upsert Destination component allows you to automatically insert new records and update existing ones based on key columns. Below are the detailed steps to configure it.

Step 1: Add Upsert Destination to Data Flow

1. Drag and drop the Upsert Destination component from the SSIS Toolbox.
2. Connect your source component (e.g., JSON / REST / Other Source) to the Upsert Destination.

SSIS - Data Flow - Drang and Drop Upsert Destination Component

Step 2: Configure Target Connection

1. Double-click the Upsert Destination component to open the configuration window.
2. Under Connection, select an existing target connection or click NEW to create a new connection.
   • Example: SQL Server, or PostgreSQL, or Amazon Redshift.

Step 3: Select or Create Target Table

1. In the Target Table dropdown, select the table where you want to load data.
2. Optionally, click NEW to create a new table based on the source columns.

Configure SSIS Upsert Destination Connection - Loading data (REST / SOAP / JSON / XML /CSV) into SQL Server or other target using SSIS

Step 4: Map Columns

1. Go to the Mappings tab.
2. Click Auto Map to map source columns to target columns by name.
3. Ensure you check the Primary key column(s) that will determine whether a record is inserted or updated.
4. You can manually adjust the mappings if necessary.

SSIS Upsert Destination - Columns Mappings

Step 5: Save Settings

• Click OK to save the Upsert Destination configuration.

Step 6: Optional: Add Logging or Analysis

• You may add extra destination components to log the number of inserted vs. updated records for monitoring or auditing purposes.

Step 7: Execute the Package

• Run your SSIS package and verify that the data is correctly inserted and updated in the target table.

SSIS Upsert Destination Execution

Conclusion

In this article, we explored the seamless process of establishing a connection with ChatGPT in SSIS and integrating data effortlessly, all without the need for coding. Interested in trying it out yourself? Feel free to Download ZappySys SSIS PowerPack by clicking here and experience the simplicity firsthand. Should you have any lingering queries, please don’t hesitate to ask by clicking here or initiating a conversation with our experts via the live chat icon at the bottom-right corner of this page.

The post Call ChatGPT REST API in SSIS appeared first on ZappySys Blog.

The article shows how to download images from a web page using SSIS. Sometimes we need to download the images from a web page. In this post, we will show how to do this.

Prerequisites

Before we perform steps listed in this article, you will need to make sure following prerequisites are met:

1. SSIS designer installed. Sometimes it is referred as BIDS or SSDT (download it from Microsoft site).
2. Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
3. Make sure ZappySys SSIS PowerPack is installed (download it).
4. Optional (If you want to Deploy and Schedule ) – Deploy and Schedule SSIS Packages

Steps-by-step process to download images from HTML using SSIS

Use REST API task to get the HTML body

1. Drag and drop the REST API Task from SSIS toolbox, select the html page you want and save it in a variable.

Select the page you want to get the images

2. Go to Response Settings. Check the option Save the response content. In Save Mode, select Save to File. In the option Enter File Path, write the path for the html file.

Save the page in a file

Parse the image with Regular Expression parser task

3. From the SSIS toolbox drag and drop Regular Expression Parser Task on the Control flow designer surface.

4. The next step is to save the source path from the images. You need to use Regex and here are two example you can use, in this page Regex101 you can check more details about the expressions we are using:

Expression 1:

<img.*?src="(.*?)"{{*}}

src="([a-z\-_0-9\/\:\.]*\.(png|jpg|jpeg|gif|png))"{{*}}

Regex expression to get the image code from the page

Read the image source with CSV source in order to download images from a Web page

5. Now, Drag and Drop SSIS Data Flow Task from SSIS Toolbox.

6. Double click on the DataFlow task to see DataFlow designer surface.

7. From the SSIS toolbox drag and drop CSV source and insert the variable you are using from the previous task

Use CSV source to read the variable

Get the image name, image full path and the destination folder to download images from a Web Page

8. From the SSIS toolbox drag and drop Derived Column transform to remove the HTML code and get the image name.

Expression for the Image name:

(DT_WSTR,1000)REVERSE(LEFT(REVERSE(REPLACE(REPLACE(Column1,"src=\"",""),"\"","")),(FINDSTRING(REVERSE(REPLACE(REPLACE(Column1,"src=\"",""),"\"","")),"/",1) - 1)))

Remove the HTML code:

REPLACE(REPLACE(Column1,"src=\"",""),"\"","")

Add a new column and remove HTML code

9. Now we will drag and drop another Derived Column, this one is for the file path for the images and validate if the image URL is valid. If the image URL has “http” in the stringm then it is valid otherwise you need to add the rest of the URL. Here is our example for the filePath and validate the URL image. If everything is OK, we can send the image URL.

File path: (DT_WSTR,2500)@[User::vDestinationFolder] + ImageName

Validate image URL: ((FINDSTRING(Column1,"http",1) > 0) ? Column1 : (DT_WSTR,2500)("https://www.urlexample/image/" + Column1))

Note: @[User::vDestinationFolder] is a variable we used for the local path

Add a new column and verify the HTML path

Send the request and save the image In the folder TO download images from a Web Page

10. Now we will drag and drop a web API destination and select the column in the input column to URL. If the request is right, we can save the image in the local file.

Send a request for all images you get

11. Now drag and drop an Export Column transformation and select the ResponseText from the request and the file path.

Select the image response and the local file path

12. Finally, we use a trash destination to close the flow.

The final result

Conclusion

If everything is OK, you will be able to download the images from your HTML page. To do that, we read the list of URLs from a list. Then we get the name of the images using expressions. Then we add a path for each image to store them. Finally, we save the images.

The post How to download images from a web page using SSIS appeared first on ZappySys Blog.

In this post, we will cover how to connect ADP API using HTTP connection manager over OAuth connection manager with JSON Source. ADP API works a bit differently with the OAuth connection manager. Let’s take a look at it…

Prerequisites

Before we perform the steps listed in this article, you will need to make sure the following prerequisites are met:

1. SSIS designer installed. Sometimes it is referred as BIDS or SSDT (download it from Microsoft site).
2. Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
3. Make sure ZappySys SSIS PowerPack is installed (download it).
4. Optional (If you want to Deploy and Schedule ) – Deploy and Schedule SSIS Packages
5. Make sure you have ADP Client Id & Secret.

What things are needed to connect ADP API

1. You need to have the Client ID and Client Secret before making your ADP API call.
2. If you don’t have this information, contact your client representative.
3. Certificate Signing Request (CSR): For more detailed information, see the Certificate Signing Request: https://developers.adp.com/articles/general/generate-a-certificate-signing-request
4. If you already have the .csr file from your API Settings as below: –
   

   ADP CSR Certificate

    

5. Then you need to convert those *.cer + *.key files to *.PFX
6. We do not support cert+key files but converting to PFX is fairly simple.
7. You can find many blog posts on how to convert to PFX. Here are some helpful links on how to convert *.pem to *.PFX (i.e. PKCS#12 OR p12 file format)
   -https://www.sslshopper.com/ssl-converter.html
   -https://stackoverflow.com/questions/808669/convert-a-cert-pem-certificate-to-a-pfx-certificate
8. Once you have .PFX certificate, Client ID, and Client Secret ready then you can provide these details to the  HTTP Connection manager as below: –
   General Settings: –
   

   ADP HTTP Connection Manager – General Tab

   Client Certificate: –

   

   ADP CSR Client Certificate Tab
9. After you provide all the required details in HTTP Connection Manager for ADP API.
10. You can select HTTP Connection manager as the connection provider in the JSON Source/REST API and preview the data.
11. Here you can connect ADP API successfully using the HTTP connection manager.

Note: By default, when a PFX file expires, the ADFP API throws a generic SSL/TLS channel error, which can be misleading. To verify the certificate’s expiration date, we have to:

1. Import the PFX file into the local certificate store (using the same blank password).
2. Use the mmc command from the Start menu.
3. Go to Add/Remove Snap-ins → Certificate → User Store → View Entry to check the expiration date.

Steps to Convert .cer and .key Files into a .PFX File

If you have separate .cer and .key files, you’ll need to convert them into a single .PFX file (PKCS#12 format) to use with our tool, as it does not support separate certificate and key files.
Converting to PFX is straightforward, and you can find many detailed guides online. Here are some helpful links:

• SSL Converter – sslshopper.com
• Convert .pem to .pfx – Stack Overflow

Conclusion:

This is how you can successfully connect ADP API using HTTP Connection over OAuth connection using ZappySys JSON Source/REST API.

The post How To Connect ADP API using HTTP Connection over OAuth Connection appeared first on ZappySys Blog.

In our previous post we saw how to read API data in SSIS. This post we will cover how to call NetSuite RESTlet to read / write data in SSIS or ODBC Apps. For demo purpose we will use SSIS PowerPack REST API Task but concepts and many UI elements remain same for ODBC JSON Driver too. This article assumes you know how to write Netsuite RESTlet and you have obtained Credentials to call RESTlet from extranal app.

What is NetSuite RESTlets

NetSuite added a really nice feature to expose business data and workflows as API by writing Javascript functions which they call it RESTlets. You can secure and customize these restlets as per your need.

You can automate CRUD (Create /Read / Write / Delete) operations in NetSuite by writing special functions in JavaScript and expose those functions as API URL which can be called by any external Systems (i.e. SSIS Packages , ODBC Apps like Power BI, Informatica, SSRS).

RESTlet can be secured few ways such as OAuth 1.0 and OAuth 2.0 authentication. We will cover both approach briefly in this article. You can choose any one as per your need

Creating NetSuite RESTlet / Obtain OAuth Credentials (Client ID and Secret)

Below video shows how to obtain necessary credentials to call Netsuites API (RESTlet).

At mark 4:30 seconds it will show you How to use OAuth 2.0 for calling RESTlet

Create NetSuite RESTlet Connection

There are few ways to authenticate NetSuite RESTlet. If you are using ZappySys Products then it makes it super easy to use either approach. Lets look at both approaches.

Using OAuth 2.0 (Recommended)

As per above video if you obtained Client ID and Secret for OAuth 2.0 you can follow below steps to configure OAuth connection to call RESTlet.

What you need to use OAuth 2.0.

• Your Account ID (it goes in URL)
• Your Client ID and Secret (Obtained from Netsuite Portal) – See above video Mark 04:30
• Register Redirect URL in NetSuite portal (we recommend you use https://zappysys.com/oauth as call back Url for Automatic Code extraction)

Steps to configure OAuth Connection

1. Right click on Connection Panel and choose Choose “New Connection..”. Select ZS-OAUTH type
   
   
   

   Create new SSIS OAuth API Connection Manager

    

    

2.  Enter following things
   ————————-
   On General Tab
   ————————-
   ClientID and Secret: <get it from NetSuite>
   Authorization URL: https://<accountID>.app.netsuite.com/app/login/oauth2/authorize.nl
   Token URL: https://<accountID>.suitetalk.api.netsuite.com/services/rest/auth/oauth2/v1/token
   Scope: restlet
   

   Configure NetSuite OAuth 2.0 Connection for API call

    

   ————————-
   On Advanced Tab
   ————————-
   Callback / Redirect URL:  https://zappysys.com/oauth  (this must be entered same way in NetSuite Portal)

   

   OAuth2 Connection – Callback / Redirect URL

3. Now go back to General Tab and click Generate Token button
4. Follow login screen and try to finish the flow. At the end it will generate Tokens and populate on UI
5. Click OK to save

Using OAuth 1.0

Another approach is use OAuth 1.0 (Older version). If you have enabled OAuth 1.0 in NetSuite then follow below steps (Create connection is same as before).

1. Setup General Tab and Advanced Tab as below.
   On ==== General Tab====:
   Enter ClientID, ClientSecret, AccessToken, AccessToken Secret
   On ==== Advanced Tab ====:
   Check Do Not Include Empty Key/Value Pairs
   Select Signature Method as HMAC-SHA256
   For Extra Token Attribute enter realm=<your-account-number>_SB1
2. Click OK to Save

Call NetSuite RESTlet in SSIS

1. Create a new SSIS Package
2. Drag REST API Task from SSIS Toolbox
3. Double click the Task to configure
4. Select URL from Connection
5. From Connection dropdown select OAuth connection we created in the earlier section (either OAuth 1 or OAuth 2)
6. Enter the URL as below. Assuming you copied URL from NetSuite Replace script ID and account number
   

   https://<account-number>-sb1.restlets.api.netsuite.com/app/site/hosting/restlet.nl?script=<scriptid>&deploy=1

   Enter <account-number>
   Enter <scriptid>
7. Change Method to POST if your script supports Parameters (Else you can supply id=xxxx and recordtype=xxxxx in the URL for GET request)
8. If its POST request then chnage ContentType to ApplicationJSON (application/json)
9. Enter your Input in the body. In below example our RESTlet takes sql query as input so we enter just one parameter named query but you can have different parameter(s)
   

   Syntax:  { param1_name : <value> , param2_name : <value> ....  }

10. Now click Test see everything works
    

    Calling NetSuite RESTlet in SSIS (Using REST API Task)

Conclusion

We saw how easy it is to call NetSuite RESTlets or other NetSuite API in SSIS / other BI Apps using ODBC Drivers provided by ZappySys. Download SSIS PowerPack and try your self see how easy it is to consume virtually any API in SSIS.

The post How to call NetSuite RESTlet API in SSIS / ODBC appeared first on ZappySys Blog.

Download Salesforce Attachment in SSIS can be difficult the first time. In this new article, we will show how to download an Attachment from the Salesforce Source into a file using SSIS. Working with images is always tricky the first time. However, with the right article, this process is really simple. This article will show you how simple it is to do it.

Salesforce is an extremely powerful CRM based in the cloud. This company was created in California, San Francisco and it is a very common request to get the information from the cloud into a file automatically. These can be achieved with our ZappySys SSIS PowerPack plus some SSIS tasks.

Requirements

In order to do it, we will need the following components:

1. SSDT for SSIS installed
2. ZappySys SSIS Powerpack installed
3. A connection to Salesforce. In order to create a connection to Salesforce, check this video or check our article related.
4. Finally, we will need a file in Salesforce to download.

Getting Started

Creating the connection

1. First of all, in SSDT, create a new SSIS project
2. In order to create a connection in SSDT, go to the connection manager, and select a new connection.
   

   ssis-create-salesforce-connection

3. Also, Select the ZS Salesforce connection. This new connection is created by the ZS SSIS PowerPack plugin mentioned in the requirements. With this connection, we can easily connect to Salesforce and get the Information.
   

   Select SSIS Salesforce connection

4. Finally, write your email, password, and token. For more information about getting the token, please check our article related.
   

   Salesforce credentials in SSIS

Creating the package

1. First of All, Drag and drop the Data Flow Task from SSIS Toolbox and double-click it to edit.
   

   Drag and Drop : Data Flow Task from SSIS Toolbox

2. Secondly, in the Data Flow, we will use the Salesforce Source to connect to Salesforce and get the attachments.
   

   Drag and Drop: Salesforce Source from SSIS Toolbox

3. For this purpose, we will use the attachment table from Salesforce.
4. In addition, we will get the columns from the table. The image is in the body, however, we have additional columns like the id, name, ContenType, BodyLenght, createDate, and more:
   

   SSIS Salesforce Columns

5. Next, we will need to drag and drop SSIS Derived Column from the SSIS Toolbox below the Salesforce Source and connect it.
   

   Drag and drop the Derived Column

6. Double-click on the derived column, to specify the path to store the image in a local folder.
   

   SSIS-derived column download image salesforce

7. Now let’s, drag and drop SSIS Export Column from the SSIS Toolbox >> Other Transforms.
   

   Drag and drop Export Column

8. Double-click on the Export column to download an image of the body. In the Extract Column map the Body column of File data and the Path Column to where you want to save that file.
   

   SSIS export column salesforce image

9. Finally, we will use the trash destination to get the image and finish the flow.
   

   SSIS Trash destination

10. Now, we are ready. Your package should be something like this:
    

    ssis-full-download-package

11. Run the package to test it.
12. If everything is fine, we will be able to see the file. As you can see Downloading Salesforce Attachment in SSIS is a straightforward process.

Conclusion

In conclusion, we learned in this article how to Download Salesforce Attachment in SSIS. Basically, you need to use the ZappySys salesforce source, then use the derived column to specify the path and the Export column to get the image. Finally, the ZS Trash destination will be used  If you liked this article, do not hesitate to continue testing and using ZappySys PowerPack for SSIS.

The post Download Salesforce Attachment in SSIS appeared first on ZappySys Blog.

OneDrive allows to store files on the cloud and and we have seen growing requirements in downloading/Uploading files from there. This post will provide step by step details of how to Upload/Download files from OneDrive.

Register Microsoft App for OAuth Authentication

In this section, you will learn how to register a custom app in Microsoft Azure portal that will allow access to the OneDrive. So, let’s get started –

1. Log into Microsoft Azure portal to register a custom app.
2. Register a new application by clicking New Registration link.
   

   New App Registration in Azure portal

3. Provide the name of the custom app and who can access the app in the organization.
   

   Register an OneDrive App

4. Go to the App overview and add a Redirect URL.
   

   Add a Redirect URL

5. Click on “Add a Platform” under Platform Configuration section and then select “Web” under Web applications section to enter a Redirect URL.
   

   https://zappysys.com/oauth

   

   Redirect URL

6. Create a Client Secret key which will be used to Authenticate the custom Azure app.
   

   Add a Client Secret

   

   Secret Key Expiration Period

   

   Specify Secret Key

   Note – Take a note of Client Secret, it will be required while configuring OAuth connection in the SSIS later.
7. Add API Permissions for OneDrive API.
   

   OneDrive API Permissions

8. Select the following permissions from the Delegated Permissions section.
   

   User.ReadBasic.All
   Files.Read
   offline_access

   

   Select Delegated Permissions

9. Take note of Client ID, it will be required while configuring OAuth connection in the SSIS later.
   

   Client ID

Get OneDrive File ID

In this section, you will learn how to get the File ID of the CSV file through OneDrive API. So, let’s get started –

1. Go to the Microsoft Graph Explorer.
2. Sign in to Graph Explorer.
   

   SSIS GraphExplorer SignIn

3. Run below OneDrive API to get a list of the files from the OneDrive.
   

   https://graph.microsoft.com/v1.0/me/drive/root/children

   

   Microsoft Graph Explorer

   NOTE: Take a note of File ID of the CSV file. For this example, we will download invoices.csv file.

Create OAuth Connection in SSIS

In this section, you will learn how to create an OAuth connection in SSIS to an Azure custom app. So, let’s get started –

1. Create a new ZS-OAuth connection in SSIS.
   

   ZappySys OAuth Connection in SSIS

2. Configure OAuth connection with following settings.

   Client ID	Provide Client ID from App Registration steps
   Client Secret	Provide Client Secret from App Registration steps
   Authorization URL	https://login.microsoftonline.com/organizations/oauth2/v2.0/authorize
   Access Token URL	https://login.microsoftonline.com/organizations/oauth2/v2.0/token
   Scope/Permissions	User.ReadBasic.All Files.Read.All offline_access

   

   OAuth Connection Configuration

3. Go to the Advanced tab and provide Return URL.
   

   https://zappysys.com/oauth

   

   Add Redirect URL

4. Click on Generate Token will give a login screen which will allow to generate access and refresh token for the app.
5. Approve the requested permissions bu Accepting it.
   

   Approve Permissions Requested

6. Token has been generate successfully.
   

   Refresh Token Successful

7. Let’s test the connection to make sure it is working fine.
   

   Connection Successful

Download CSV File Through OneDrive REST API in SSIS

In this section, you will learn how to download a CSV file through OneDrive API in SSIS and save it into a CSV file.

1. Here is the OneDrive API which allows to read content of the file.
   

   https://graph.microsoft.com/v1.0/me/drive/Items/<File ID>/content

2. Replace <File ID> in above step#1 with the file ID that we have got in the Get OneDrive File ID section. Final URL will look something like below.
   

   https://graph.microsoft.com/v1.0/me/drive/Items/01W7L3VCUBS27ILUQKENAK4LQGGTJ2R3TT/content

3. Let’s create a SSIS package with Data Flow Task from SSIS Toolbox.
4. Replace <File ID> in above step#1 with the file ID that we have got in the Get OneDrive File ID section. Final URL will look something like below.
   

   https://graph.microsoft.com/v1.0/me/drive/Items/01W7L3VCWMCGPYZLM2IRAYWROSH4XMQT7A/content

5. Configure REST API task as follows.
   

   Binary File Configuration in ZappySys REST API Task

6. Configure the responses setting as below.
   

   Binary File Configuration in ZappySys REST API Task

   NOTE: Ensure that the Treat response as the binary checkbox is checked otherwise the file will be downloaded but corrupted as zip/mp3 etc. file format is binary.
7. Check if the request is made correctly by clicking Test Request/Response.
   

   Example of Testing the Request

8. Let’s have a look at the folder where the file has been downloaded. Here is an example –
   

   Downloaded File Example

Download a Text File Through OneDrive API in SSIS

Here is another technique that can be used to download a CSV/text file through OneDrive API without knowing it’s file ID but file name. Please check this link for more details.

Download Excel Sheets Through OneDrive API in SSIS

JSON Source also supports reading API response which returns 2D arrays. Such as Office Excel Spreadsheet API to read excel data. Check this blog post to learn a similar scenario to parse 2D arrays. There are few other options for parsing 2D arrays which are documented here.

https://graph.microsoft.com/v1.0/me/drive/items/01CYZLFJDYxxxxxxx/workbook/worksheets('test')/range(address='A1:B200')

Upload a File Through OneDrive API in SSIS

In this section, you will learn how to upload a file through OneDrive API in SSIS. Uploading a file has few additional steps and has been documented separately. Please check this link for more details.

Delete a File Through OneDrive API in SSIS

In this section, you will learn how to delete a file from OneDrive through OneDrive APIs in SSIS.

1. Add a REST API task and configure as follows. Make sure to use the File ID of the file which needs to be deleted from OneDrive. Example URL –
   

   https://graph.microsoft.com/v1.0/me/drive/Items/01W7L3VCSEADQ457W54RBI3I47YGFJOD2I

   

   Delete OneDrive File

2. Execute the task and you will have file deleted from OneDrive.

Conclusion

In this article, we have learned how to Upload/Download/Delete data/file from OneDrive API in SSIS. We used SSIS REST API Task to extract data through OneDrive API in SSIS. Download SSIS PowerPack to try many other automation scenarios not discussed in this article.

The post How to call OneDrive API in SSIS (Upload, Download) appeared first on ZappySys Blog.

In our previous article, we saw how to get Office 365 data in Power BI. Now, let’s look at how to get Office 365 Mail Attachments using SSIS without any coding. Microsoft Graph API is a unified way to access many Microsoft services, including the Office 365 API. In this post, we will use the SSIS JSON/REST API Source Connector to retrieve the Outlook Messages list and its attachments.

Use Case of Microsoft Graph API

Here are some use cases for why you want to use the Microsoft Graph API

• Read/Write events from Outlook Calendar
• Send email  / Read emails
• Get the list of files from OneDrive
• Upload/ Download files to OneDrive
• Read/Write Excel Sheet (Use range or a specific range of a specific sheet)
• Read the SharePoint Document library
• Search content from the SharePoint document library
• Get AD users for your Organization (AD Accounts)
• Update OneNote
• Track changes to Users, Events, Calendar Items using the delta API

Step-By-Step to call the Microsoft Graph Rest API Using SSIS

Now, let’s look at examples to access your Outlook.com emails using SSIS. You can use the same techniques to call pretty much any Office 365 API.

Configure SSIS OAuth Connection for Graph REST API

The first step to access any Graph API is to configure an OAuth connection

1. Open Visual Studio
2. Open an existing SSIS Project or create a new one using File > New > Project > Choose “Integration Services Project” Type under Business Intelligence template category.
3. Create Package
4. Right-click inside the Connection Managers area and click New Connection…
5. From the connection type list, select the ZS-OAUTH connection type.
   

   Create a new SSIS OAuth API Connection Manager

6. On the OAuth Connection Manager, configure the following options
   1. Select “Custom” from the Provider dropdown
   2. Select OAuth2 from the OAuth version
   3. Enter your Application Id and Secret Key (i.e., App Password) obtained in the previous section from here.
   4. Enter the following URL in the Authorization URL
      

      https://login.microsoftonline.com/common/oauth2/v2.0/authorize

   5. Use the following URL in the token URL field
      

      https://login.microsoftonline.com/common/oauth2/v2.0/token

   6. Enter the following Graph API Scopes (each scope must be entered on a new line).
      

      user.read
      mail.read
      offline_access

      NOTE: Always include the offline_access scope, which returns a refresh_token, which allows you to renew the token without going through the login process again. For more information about which scopes are needed, always refer to the API help page (e.g., if you want to read mail using this API, then you will see it says you can use Mail.Read or Mail.ReadWrite scope).
   7. Go to the Advanced tab and enter the following URL in the Callback/Return URL (assuming the same URL used when you registered the App in the previous section)
      

      https://zappysys.com/oauth

   8. Now go back to the first tab and click Generate Token. When prompted, log in using your Personal Microsoft Account or Work Account (Office 365 or AD login)
   9. After logging in, you will see the Accept option. Just click it. If things go right, then you will see the Access Token and Refresh Token fields populated.
7. Once everything is configured, you can click Test Connection to verify the connection works.
   

   SSIS OAuth Connection Manager for Office 365 REST API Microsoft Graph API

Download the Messages Attachment Files from Outlook

Let’s start with an example. We use the SSIS JSON Source and Web API Destination components to make a call to the Microsoft Graph REST API.

1. First of all, drag and drop the Data Flow Task from the SSIS Toolbox and double-click it to edit.
   

   Drag and drop Data flow

2. From the SSIS toolbox, drag and drop the JSON Source onto the Data Flow Designer surface.
   

   SSIS JSON Source – Drag and Drop

3. Double-click the JSON Source, then enter the following URL to invoke the Messages API call with search options to retrieve emails with attachments.
   

   https://graph.microsoft.com/v1.0/me/messages?$select=sentDateTime,from,subject,hasAttachments&$search="hasAttachments:True"

   Set the filter to $.value[*] and click the preview.
   

   SSIS JSON Source – Get data from Microsoft Graph API (Office 365 API – Read Mail Example)

   To customize the URL with additional parameters, check this help link. It’s a standard OData Protocol, so you can leverage many common OData features (e.g., use $top parameters to set pageSize. Default is 10 for List Mail, but you can include more records per response by changing it, such as …/messages?$top=50).

4.  Now, let’s use Template Transform to set the URL using the message ID to make the Get attachment API call.

   https://graph.microsoft.com/v1.0/me/messages/<%id%>/attachments

   

   SSIS Template Transform sending attachment id
5. Now we need to use the Web API Destination to make the Get Attachment API call by message ID. Select the Input column for URL as that TemplateOutput.
   

   SSIS Web API Destination – Get data from Microsoft Graph API (Office 365 API – Get Attachment Example)

6. Now, the next step is to parse the JSON Response String of the get attachment api call. For that, we need to use a JSON Parser. Select the input as Web PAI Destination ResponseText and use the below sample JSON string to configure the metadata(Columns).
   

   {"@odata.context":"https://graph.microsoft.com/v1.0/$metadata#users('support%40zappysys.com')/messages('AQMkADAwATMwMAItMDkyMC0zZTg4AC0wMAItMDAKAEYAAAP_JUy')/attachments"
   ,"value":[{"@odata.type":"#microsoft.graph.fileAttachment","@odata.mediaContentType":"text/plain"
   ,"id":"AQMkADAwATMwMAItMDkyMC0zZTg4AC0wMAItMDAKAEYAAAP_JUy_27M"
   ,"lastModifiedDateTime":"2020-02-21T07:36:16Z"
   ,"name":"Test.txt","contentType":"text/plain","size":870,"isInline":false
   ,"contentId":null,"contentLocation":null,"contentBytes":"VGVzdCBNZXNzYWdl"}]}

   

   JSON Parser Transform – using JSON example
7.  Now, in the JSON Parser, go to the Go-to columns Tab and set the contentBytes DataType to DT_IMAGE, and increase the other columns’ DT_WSTR lengths by 1000 and 1500. We set contentBytes to the DT_IMAGE  datatype, which is like varbinary(MAX).
   

   JSON Parser Transform Columns Tab fix the datatype

8. Furthermore, in the next step, we need to use an SSIS Derived Column to set the FilePath where we want to save the attachments, and then concatenate the local file path with the attachment name column.
   

   SSIS Derived Column: Add New Column

9. Finally, we need to use the Export Column Transform (Native) to export attachment bytes to a local file. It needs to know 2 upstream info Bytes and the target file path.
   

   Export Column configuration

10. Make sure to attach the export column to some destination (e.g., our ZS Trash Destination); the engine might remove it. At the same time, it optimizes the runtime. It may remove all transformations that don’t have a destination, such as deploying the package to SQL Server, or when you set optimize in Visual Studio.
11. That’s it, execute the package, and it will download all the email attachments.
    

    Downloaded Mail Attachments

Conclusion

After all, in this article, we learned how to make a Microsoft Graph API REST API call. We used the SSIS JSON / REST API Connector to extract data from Outlook Mail using OAuth. Made the Get attachment API call using the Web API Destination and parsed the JSON response using the JSON Parser. And using the Native SSIS Export Column, we saved the export attachment’s bytes to a local file. To explore many other scenarios not discussed in this article, download SSIS PowerPack from here (includes 70+ Components).

References

Finally, you can use the following links for more information:

• • Help File: JSON Source(REST API or File)
  • Help File: Web API Destination
  • Help File: JSON Parser Transform
  • Overview of the Microsoft Graph API

The post How to Get Office 365 Mail Attachments using SSIS appeared first on ZappySys Blog.

In our previous article, we see how to load data into Elastic Search using SSIS. Now let’s look at how to read data from ElasticSearch using SSIS and load response into SQL Server.

Elasticsearch is a powerful engine that allows you to store, aggregate, and, most importantly, search data in a very analytical way. In this tutorial, you will learn how to load Elasticsearch data to SQL Server with SSIS (part of SQL Server) and ZappySys PowerPack. We also see how to set the maximum result window of the index using the Rest API Task.

In a nutshell, this post will focus on how to Make Elasticsearch Search API call using SSIS.

Step-By-Step to Call Elasticsearch API call using SSIS

Read from Elasticsearch Search API call

Let’s make the Elasticsearch Search API call using the JSON source to get all the records of the index with pagination.

1. First of All, Drag and drop Data Flow Task from SSIS Toolbox and double click it to edit.
   

   Dragging and dropping Data Flow Task into Control Flow

2. From the SSIS toolbox drag and drop JSON Source on the data flow designer surface.
   

   Drag and Drop JSON Source Component

3. Double click JSON Source and enter the following URL as below to make Search API Call on the index.
   

   http://{elasticsearch-site-url}/{index}/{index-type}/_search

4. Now check Use credentials and Select Connection section press

   <New ZS-HTTP Connection>

   .
   

   SSIS JSON Source – Passing Basic Credentials (Supply UserID / Password) using HTTP Connection

5. Once the HTTP Connection Manager window opens configure the connection to your Elasticsearch instance:
   • Set Web Url, which points to your Elasticsearch instance.
   • Set Credentials Type to

     Basic - UserID/Password

      (or other appropriate authentication methods).
   • Finally, set User Name and Password:
     
     

     Configure SSIS HTTP Connection to connect to Elasticsearch

6. Now, select method as POST and set for and size value in the body to get data using pagination. Set the content type as JSON (application/json).
   

   {"from" : <%page%>, "size" : 100}

7. Furthermore, go to the pagination tab and configure pagination like the below screenshot makes sure we need to enter increment size the same as given in body size value therefor 100.
   

   Pagination Mode: POST data in the body

8. That’s it now select the desired filter and click on the Preview button.
9. That’s it we are ready to load the data in the SQL Server.

For more than 10000 rows

When you try to get more than 100000 rows you will get the next error message

{
    "error": {
        "root_cause": [
            {
                "type": "illegal_argument_exception",
                "reason": "Result window is too large, from + size must be less than or equal to: [10000] but was [11000]. See the scroll api for a more efficient way to request large data sets. This limit can be set by changing the [index.max_result_window] index level setting."
            }
        ]
    },
    "status": 400
}

Here is how to configure your JSON Source to pull more than 10K rows using Scroll Method.

1. In Settings Tab: In the Body and URL rather than Index name use

   [$tag$]

2. In the filter type:

   $.hits.hits[*]._source

3. Uncheck Include Parent
   

   Elasticsearch example for more than 10000 rows

4. In Pagination Tab, Set Next Link as below

   $._scroll_id

5. Stop Indicator Attribute as below

   $.hits.hits[0]._id

6. Stop Indicator Value as

   regex=^$

   

   Elasticsearch pagination tab configuration

7. In Advanced Pagination Tab, Check Has Different Page Info and Enable Page Token
8. Enter Page Place Holders as below (change YOUR_INDEX_NAME)
   

   url=YOUR_INDEX_NAME/_search?scroll=10m|_search/scroll

9. First Page Body as below – Change query as needed else keep it match all to fetch all rows from Index
   

   { "size":1000, "query": { "match_all": { }  } }

10. Next Page Body as below 

    {  "scroll": "5m", "scroll_id": "[$pagetoken$]" }

    

    Configuration for Elasticsearch advanced pagination tab

Loading Elasticsearch API data into SQL Server / Other Target

ZappySys SSIS PowerPack makes it easy to load data from various sources such as REST, SOAP, JSON, XML, CSV or from other source into SQL Server, or PostgreSQL, or Amazon Redshift, or other targets. The Upsert Destination component allows you to automatically insert new records and update existing ones based on key columns. Below are the detailed steps to configure it.

Step 1: Add Upsert Destination to Data Flow

1. Drag and drop the Upsert Destination component from the SSIS Toolbox.
2. Connect your source component (e.g., JSON / REST / Other Source) to the Upsert Destination.

SSIS - Data Flow - Drang and Drop Upsert Destination Component

Step 2: Configure Target Connection

1. Double-click the Upsert Destination component to open the configuration window.
2. Under Connection, select an existing target connection or click NEW to create a new connection.
   • Example: SQL Server, or PostgreSQL, or Amazon Redshift.

Step 3: Select or Create Target Table

1. In the Target Table dropdown, select the table where you want to load data.
2. Optionally, click NEW to create a new table based on the source columns.

Configure SSIS Upsert Destination Connection - Loading data (REST / SOAP / JSON / XML /CSV) into SQL Server or other target using SSIS

Step 4: Map Columns

1. Go to the Mappings tab.
2. Click Auto Map to map source columns to target columns by name.
3. Ensure you check the Primary key column(s) that will determine whether a record is inserted or updated.
4. You can manually adjust the mappings if necessary.

SSIS Upsert Destination - Columns Mappings

Step 5: Save Settings

• Click OK to save the Upsert Destination configuration.

Step 6: Optional: Add Logging or Analysis

• You may add extra destination components to log the number of inserted vs. updated records for monitoring or auditing purposes.

Step 7: Execute the Package

• Run your SSIS package and verify that the data is correctly inserted and updated in the target table.

SSIS Upsert Destination Execution

Enable Deep Pagination Setting

By default index, the maximum result window size is 10,000 means you can paginate upto 10000 rows. If you ever want to get more than 10000 result then you have to perform the following steps to change default setting from 10000 to 500000 (that’s max).

We need to send PUT request to below URL:

http://{elasticsearch-site-url}/{your-index}/_settings

Need to pass below body as I am setting max result window size value as 500000.

{ "index" : { "max_result_window" : 500000 } }

And set content-type as JSON (application/json) and click on Test Request/Response and it will make the API call and set the max window size.

Rest API Task PUT Call

That’s it we have successfully made the call to set the maximum result window size of the index.

Common Errors

Deployment to Production

Conclusion

After all, we saw you How to Make Elasticsearch Search API call using SSIS JSON Source and load response into SQL Server. In this article, we have seen that how to make a setting call to set the maximum result window of the index. To explore many other scenarios not discussed in this article download SSIS PowerPack from here (includes 70+ Components).

References

Finally, you can use the following links for more information:

• Help File: JSON Source(REST API or File)
• Elasticsearch Search APIs

The post How to read data from ElasticSearch using SSIS appeared first on ZappySys Blog.

In our previous article we see How to read call REST API data in SSIS. Now in this article, we will see How to Make UPS API call in SSIS and load response into SQL Server. This blog mainly focuses on SSIS approach but steps mentioned to call UPS REST API Call can be useful for any developer regardless of which programming language or tool set you use. We will also see how to configure POST API Call.

We will go through the steps to make Pickup Creation Request API call which Returns a PRN and Rate Result and we load it into MS SQL Server.

In nutshell, this post will focus on how to Make UPS REST API Call in SSIS.

Prerequisites

Before we perform the steps listed in this article, you will need to make sure the following prerequisites are met:

1. SSIS designer installed. Sometimes it is referred to as BIDS or SSDT (download it from Microsoft site).
2. Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
3. Make sure ZappySys SSIS PowerPack is installed (download it).
4. Credentials of UPS API.

What is UPS?

United Parcel Service Founded in 1907, UPS is the world’s largest package delivery company and a leading global provider of specialised transportation and logistics services. Using advanced technology, access to global resources, and an integrated network of physical, technological, and human assets, UPS provides a powerful competitive advantage that can help you earn repeat customers and grow your business.

Where to get the UPS Credentials?

You can get Username and password by signup in UPS website and also need to get Access Key from UPS Developer Kit.

Call UPS REST API using SSIS

Let’s start with an example. We use SSIS JSON Source component to make the call to UPS API, we will make Pickup Creation Request and load response into SQL Server. First of All, Open Visual Studio and Create New SSIS Package Project.

1. First of All, Drag and drop Data Flow Task from SSIS Toolbox and double click it to edit.
   

   Drag and Drop : SSIS Data Flow Task from SSIS Toolbox

2. From the SSIS toolbox drag and drop JSON Source on the data flow designer surface.
   

   Drag and Drop JSON Source Component

3. Double click JSON Source and enter the following URL as below to make Pickup Creation Request API Call and select Method as POST, I am using Testing URL but we need to use production one for real time API call.
   Testing:
   

   https://wwwcie.ups.com/rest/Pickup

   Production:
   

   https://onlinetools.ups.com/rest/Pickup

   

   JSON Source Set URL

4. Furthermore, set below JSON string in the body and also replace your UPS username, password and access key in the placeholder, i used my dummy data you need to pass yours valid data.
   

   {
   	"UPSSecurity": {
   		"UsernameToken": {
   			"Username": "[YOUR USERNAME]",
   			"Password": "[PASSWORD]"
   		},
   		"ServiceAccessToken": {
   			"AccessLicenseNumber": "[ACCESS KEY]"
   		}
   	},
   	"PickupCreationRequest": {
   		"Request": {
   			"TransactionReference": {
   				"CustomerContext": "CustomerContext."
   			}
   		},
   		"RatePickupIndicator": "Y",
   		"TaxInformationIndicator": "Y",
   		"PickupDateInfo": {
   			"CloseTime": "1700",
   			"ReadyTime": "1000",
   			"PickupDate": "20191123"
   		},
   		"PickupAddress": {
   			"CompanyName": "EIVR TEST NON-ACCOUNT PL 3",
   			"ContactName": "EIVR TES PL",
   			"AddressLine": "12380 Morris Rd",
   			"City": "Louisville",
   			"StateProvince": "KY",
   			"PostalCode": "40201",
   			"CountryCode": "US",
   			"ResidentialIndicator": "N",
   			"Phone": {
   				"Number": "+48223803070"
   			}
   		},
   		"AlternateAddressIndicator": "N",
   		"PickupPiece": {
   			"ServiceCode": "003",
   			"Quantity": "1",
   			"DestinationCountryCode": "US",
   			"ContainerCode": "01"
   		},
   		"OverweightIndicator": "N",
   		"PaymentMethod": "05"
   	}
   }

   

   JSON Source set Body

5. Now click on Select Filter button to get the desire filter.
   

   JSON Source Select Filter

6. Finally click on Preview button to load the data.
   

   JSON Source Preview

7. That’s it we are ready to load UPS Pickup Creation Request API call response in SQL Server.

Load UPS REST API data into SQL Server

ZappySys SSIS PowerPack makes it easy to load data from various sources such as REST, SOAP, JSON, XML, CSV or from other source into SQL Server, or PostgreSQL, or Amazon Redshift, or other targets. The Upsert Destination component allows you to automatically insert new records and update existing ones based on key columns. Below are the detailed steps to configure it.

Step 1: Add Upsert Destination to Data Flow

1. Drag and drop the Upsert Destination component from the SSIS Toolbox.
2. Connect your source component (e.g., JSON / REST / Other Source) to the Upsert Destination.

SSIS - Data Flow - Drang and Drop Upsert Destination Component

Step 2: Configure Target Connection

1. Double-click the Upsert Destination component to open the configuration window.
2. Under Connection, select an existing target connection or click NEW to create a new connection.
   • Example: SQL Server, or PostgreSQL, or Amazon Redshift.

Step 3: Select or Create Target Table

1. In the Target Table dropdown, select the table where you want to load data.
2. Optionally, click NEW to create a new table based on the source columns.

Configure SSIS Upsert Destination Connection - Loading data (REST / SOAP / JSON / XML /CSV) into SQL Server or other target using SSIS

Step 4: Map Columns

1. Go to the Mappings tab.
2. Click Auto Map to map source columns to target columns by name.
3. Ensure you check the Primary key column(s) that will determine whether a record is inserted or updated.
4. You can manually adjust the mappings if necessary.

SSIS Upsert Destination - Columns Mappings

Step 5: Save Settings

• Click OK to save the Upsert Destination configuration.

Step 6: Optional: Add Logging or Analysis

• You may add extra destination components to log the number of inserted vs. updated records for monitoring or auditing purposes.

Step 7: Execute the Package

• Run your SSIS package and verify that the data is correctly inserted and updated in the target table.

SSIS Upsert Destination Execution

Conclusion

After all, we saw you how to make UPS API call using SSIS JSON Source and load response into SQL Server. In this article we made Pickup Creation Request POST API call same way you can make other UPS API calls like Tracking API and Address Verification API and so on by passing relevant URL and JSON string. To explore many other scenarios not discussed in this article download SSIS PowerPack from here (includes 70+ Components).

References

Finally, you can use the following links for more information:

• • Help File: JSON Source(REST API or File)
  • UPS Developer Kit

The post How to Make UPS API call in SSIS appeared first on ZappySys Blog.