While ZappySys SSIS PowerPack includes a dedicated Amazon S3 CSV File Destination, many users ask whether there is a dedicated JSON destination for Amazon S3.

The good news is that you can already achieve this using existing ZappySys components without writing any custom code. In this article, we’ll explore three different approaches to exporting JSON files to Amazon S3 using SSIS.

Prerequisites

Before you begin, ensure you have the following:

• ZappySys SSIS PowerPack installed
• An Amazon S3 connection is configured
• An SSIS package
• A data source such as SQL Server, API, CSV, Excel, XML, or JSON

Method 1: Export JSON Directly to Amazon S3 (Recommended)

If your goal is simply to generate a JSON file in Amazon S3, the easiest approach is to use the Export JSON File Task.

The task supports writing the generated JSON directly to an Amazon S3 bucket, eliminating the need to create a temporary local file.

Recommended for: Direct exports with minimal package complexity.

Step 1 – Add Export JSON File Task

Add the Export JSON File Task to your Control Flow.

Step 2 – Configure the Source

Select the data source you wish to export and configure the Source Connection (OLEDB, ADO.NET (SQL), or ODBC).

Step 3 – Configure Amazon S3 Destination

In the destination settings:

• Select Amazon S3 as the destination.
• Select or create an Amazon S3 connection.
• Specify the Bucket Name.
• Optionally specify a Folder.
• Enter the output JSON file name.

Step 4 – Execute the Package

Run the package.

The Export JSON File Task generates the JSON document and uploads it directly into your Amazon S3 bucket.

Benefits

• No intermediate local files
• Simple configuration
• Faster execution
• Easier package maintenance

Method 2: Generate JSON Locally, then Upload to Amazon S3

If your workflow requires validating, compressing, encrypting, archiving, or otherwise processing the JSON file before upload, first generate the JSON locally and then upload it using the Amazon S3 Task.

Recommended for: Advanced ETL workflows requiring intermediate file processing.

Step 1 – Generate the JSON File

Use the Export JSON File Task to save the JSON document locally.

C:\Exports\Customers.json

Step 2 – Upload using Amazon S3 Task

Add an Amazon S3 Task after the Export JSON File Task.

Configure the task to:

• Upload File
• Select the generated JSON file
• Select the Amazon S3 Bucket
• Specify the destination folder (optional)

Step 3 – Delete the Local File (Optional)

Enable Delete File After Successful Transfer if you no longer need the local copy.

Alternatively, use the Advanced File System Task to:

• Delete uploaded files
• Move processed files to an archive folder
• Rename processed files
• Create backup copies

Benefits

• Validate JSON before upload
• Archive processed files
• Compress or encrypt files
• Greater workflow flexibility

Method 3: Generate JSON in Data Flow and Save to Amazon S3

If your package already performs transformations in a Data Flow, you can generate JSON without using the Export JSON File Task.

Use the JSON Generator Transform together with the Amazon S3 CSV File Destination.

Although the destination component is named CSV File Destination, it can also write JSON when configured appropriately.

Recommended for: Existing Data Flow-based ETL packages.

Step 1 – Add JSON Generator Transform

Add a JSON Generator Transform to your Data Flow.

Step 2 – Configure Amazon S3 CSV File Destination

Connect the JSON Generator output to the Amazon S3 CSV File Destination.

Configure the destination as follows:

• Disable Header Row
• Disable Quote Around Values
• Output only the generated JSON column

The generated JSON is written directly to Amazon S3.

Benefits

• Entire workflow remains inside the Data Flow
• Works with existing transformations
• No temporary files
• High-performance pipeline

Which Method Should You Choose?

Conclusion

Although ZappySys SSIS PowerPack does not include a dedicated Amazon S3 JSON Destination component, exporting JSON files to Amazon S3 is fully supported using existing components.

Depending on your ETL requirements, you can:

• Export JSON directly to Amazon S3 using Export JSON File Task.
• Generate a local JSON file and upload it using Amazon S3 Task.
• Create JSON in a Data Flow using JSON Generator Transform and write it using the Amazon S3 CSV File Destination.

These approaches provide flexible, code-free solutions for automating JSON exports to Amazon S3 in SSIS.

Related Articles

• Export JSON from SQL Server using SSIS
• Load Data from SQL Server to Amazon S3
• Split Large Files while Loading Data using SSIS
• Amazon S3 Task Documentation

The post How to Export JSON Files to Amazon S3 using SSIS (3 Easy Methods) appeared first on ZappySys Blog.

If you need to upload files from SSIS to SharePoint Online, the ZappySys SharePoint Online Connector for SSIS gives you a direct way to configure the connection, authenticate, and send files without building the API calls from scratch.

This guide shows how to upload one file or multiple files to SharePoint Online using SSIS, API Source, and supporting SSIS components.

Upload files to SharePoint Online with SSIS

In this section, you will configure the SharePoint Online Connector in API Source and use it to upload files to SharePoint Online.

1. Begin by opening Visual Studio and creating a new project.
2. Select Integration Service Project and in the new project window set the appropriate name and location for the project. Click OK.
3. In the new SSIS project screen you will find the following:
   1. SSIS ToolBox on the left sidebar
   2. Solution Explorer and Property Window on the right bar
   3. Control flow, data flow, event Handlers, Package Explorer in tab windows
   4. Connection Manager Window at the bottom
   

   SSIS Toolbox – ZappySys Tasks

   NOTE: If you don’t see ZappySys SSIS PowerPack Task or Components in the SSIS Toolbox, please refer to this help link.
4. Drag and drop the SSIS Data Flow Task from the SSIS Toolbox. Double-click on the Data Flow Task to see the Data Flow Designer.
   
5. From the SSIS Toolbox, drag and drop API Source (Predefined Templates) onto the Data Flow Designer surface, then double-click it to edit it:
   
6. Select New Connection to create a new connection:
   

Configuring the SharePoint Online Connector

1. Use a preinstalled SharePoint Online Connector from the Popular Connector List or press the Search Online radio button to download SharePoint Online Connector. Once downloaded simply use it in the configuration:
   

   SSIS ZS API Connection Manager – Select SharePoint Online Connector

2. Select the desired authentication type. Then choose the API Base URL. In most cases, the default value is correct. Fill in the required parameters and add optional parameters only when needed.
3. After configuring the required properties in API Connection Manager, click Test Connection to confirm that the connection works.
   

   Method 1: Connect to SharePoint Online using user credentials [OAuth]

   Use the Steps to Configure link to help set the required parameters.

   

   SSIS ZS API Connection Manager – Generate Token – SharePoint Online with User Credentials

   Method 2: Connect to SharePoint Online using application credentials [OAuth]

   Use the Steps to Configure link to help set the required parameters.

   

   SSIS API Source – Generate Token – SharePoint Online with Application Credentials

How to upload a local file to SharePoint Online

In the API Source Component, we’ve chosen the API Connection Manager. Next, we need to configure the remaining properties of the component to upload a local file to SharePoint Online.

1. Choose the Upload file endpoint from the “Select Table/Endpoint” dropdown menu.
2. Select the desired Drive ID from the DriveId drop-down.
3. Specify the desired source file path for the file being uploaded by setting the DiskFilePath parameter.
4. Specify the desired Target Path by setting the SharePointFilePath parameter.

Please refer to the sample screenshot below.

SSIS API Source – SharePoint Online – Upload Single File

After configuring the properties above, click Preview Data to test the API call. At this point, the SharePoint Online Connector is ready to upload a local file from SSIS.

How to upload multiple files to SharePoint Online

In the API Source Component, we’ve selected the API Connection Manager. Next, we need to configure the remaining properties of the component to upload multiple files to SharePoint Online. Additionally, we should utilize a Foreach Loop Container to iterate through each file one by one in a loop.

1. Create 3 SSIS variables as described below.
   

   Variable Name	Datatype	Value
   varFileLists	Object	System.Object
   varFileName	String	fake.extension
   varFullFilePath	String	C:/fake/fake.extension

2. Go to Control Flow, From the SSIS toolbox drag and drop ZS Advanced File System Task on the control flow designer surface, and double click on it to edit it:
   
3. Select the “Get file list as ADO.NET Data Table” action from the Action drop-down menu. Set the file path in the Path textbox. Choose the variable (Object type) where you want to store the file list, and then click the OK button to save the settings.
   

   SSIS Advanced File System Task – Get file list as ADO.net Data Table

4. Now, drag and drop the “Foreach Loop Container” from the SSIS Toolbox and connect it with the “ZS Advanced File System Task.” Double-click on the “Foreach Loop Container” to edit its properties.
   

   SSIS Foreach Loop Container – Drag & Drop

5. In the Foreach Loop Editor’s “Collection” tab, choose the Enumerator as “Foreach ADO Enumerator.” In the “ADO object source variable” field, select your SSIS object-typed variable. Select the “Rows in the first table” radio option.
   

   SSIS Foreach Loop Editor – Collection – Select Variable & Enumeration mode

6. In the Foreach Loop Editor’s “Variable Mappings” tab, select the variables that you want to map to the values from the collection, and then click the “OK” button to save your selections.
   

   SSIS Foreach Loop Editor – Variable Mappings

7. Inside the Foreach Loop Container, drag and drop the Data Flow Task, and then rename it according to your preference.
   

   SSIS Data Flow Task – Drag & Drop inside Foreach Loop Container

8. Double-click on the Data Flow Task to see the Data Flow Designer, From the SSIS Toolbox, drag and drop API Source (Predefined Templates) onto the Data Flow Designer surface, then double-click it to edit it:
   
9. Double-click on the API Source component to configure it for uploading multiple files to SharePoint Online.
   1. Choose the Upload file endpoint from the “Select Table/Endpoint” dropdown menu.
   2. Set the SharePointFilePath parameter to the SSIS variable that contains the file name, such as varFileName.
   3. Set the DiskFilePath parameter to the SSIS variable that contains the local file path, such as varFullFilePath.
      When configuring the SSIS variable directly in the Raw Edit, JSON may become invalid due to the requirement of slashes within the local file path. To address this, we use a JSONENC Placeholder Function for proper escaping.
      

      <<{{User::varUserFullFilePath}},FUN_JSONENC>>

   4. If you wish to upload the local file to a specific folder in SharePoint Online, please set the folderName in the SharePointFilePath parameter.

   Please refer to the sample screenshot below.

   

   SSIS API Source – SharePoint Online – Upload Multiple files configuration

   To configure dynamic filenames and file paths, you can set variables. Click on “Raw Edit,” and in the “Edit Parameters” popup, you can use SSIS variables, as shown in the above image.

   Once you have configured all the mentioned properties above, please click on the “Preview Data” button to initiate the API call.
   After that, execute the SSIS package and confirm that the files are uploaded to SharePoint Online. The screenshot below shows a sample result.

   

   Multiple files uploaded on SharePoint Online using SSIS

   You have now configured the SharePoint Online Connector to upload multiple files from SSIS.

Conclusion

In this guide, you learned how to connect to SharePoint Online using SSIS API Connection Manager and upload one or many files using the SSIS API Source component, SSIS ZS Advanced File System Task, Foreach Loop Container, and SSIS variables.

Frequently Asked Questions

Can I upload more than one file to SharePoint Online from SSIS

Yes. You can use a Foreach Loop Container with SSIS variables and ZS Advanced File System Task to iterate through a file list and upload files one by one.

What is the easiest way to upload files to SharePoint Online from SSIS

The simplest approach is to use the SharePoint Online Connector for SSIS, because it provides ready-made authentication and upload endpoints inside the ZappySys connector interface.

Which component uploads the files

The upload action is configured in API Source by selecting the Upload file endpoint and setting values such as DriveId, DiskFilePath, and SharePointFilePath.

Next step

If you want to build this workflow in your own SSIS package, download SSIS PowerPack and review the SharePoint Online Connector guide.

The post How to upload files on SharePoint Online using SSIS appeared first on ZappySys Blog.

In today’s data-driven world, the ability to seamlessly integrate and transfer files between different platforms is crucial for efficient business operations. If you’re a user of SQL Server Integration Services (SSIS) and looking to integrate SharePoint Online into your data workflow, you’re in luck. ZappySys SSIS PowerPack offers a powerful SharePoint Online Connector that makes downloading files from SharePoint Online a breeze. In this guide, we’ll walk you through the process of downloading files from SharePoint Online using SSIS and the ZappySys SSIS PowerPack SharePoint Online Connector.

Download files from SharePoint Online with SSIS:

In this section, we will learn how to configure and use SharePoint Online Connector in the API Source & API Destination to download files from SharePoint Online.

1. Begin with opening Visual Studio and Creating a New Project.
2. Select Integration Service Project and in the new project window set the appropriate name and location for the project. Click OK.
3. In the new SSIS project screen you will find the following:
   1. SSIS ToolBox on the left sidebar
   2. Solution Explorer and Property Window on the right bar
   3. Control flow, data flow, event Handlers, Package Explorer in tab windows
   4. Connection Manager Window at the bottom
   

   SSIS Toolbox – ZappySys Tasks

   NOTE: If you don’t see ZappySys SSIS PowerPack Task or Components in the SSIS Toolbox, please refer to this help link.
4. Now, Drag and Drop the SSIS Data Flow Task from the SSIS Toolbox. Double-click on the Data Flow Task to see the Data Flow Designer.
   
5. From the SSIS toolbox drag and drop API Source (Predefined Templates) on the data flow designer surface, and double-click on it to edit it:
   
6. Select New Connection to create a new connection:
   

Configuring the SharePoint Online Connector

1. Use a preinstalled SharePoint Online Connector from the Popular Connector List or press the Search Online radio button to download SharePoint Online Connector. Once downloaded simply use it in the configuration:
   

   SSIS ZS API Connection Manager – Select SharePoint Online Connector

2. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed.
3. After configuring all the required properties in the API Connection Manager, please click on the “Test Connection” button to confirm that the connection is established successfully.
   

   Method1: Connect to SharePoint Online using User Credentials [OAuth]

   You may press a link Steps to Configure which will help set certain parameters.

   

   SSIS ZS API Connection Manager – Generate Token – SharePoint Online with User Credentials

   Method2: Connect to SharePoint Online using Application Credentials [OAuth]

   You may press a link Steps to Configure which will help set certain parameters.

   

   SSIS API Source – Generate Token – SharePoint Online with Application Credentials

How to download a single file from SharePoint Online

In the API Source Component, we’ve chosen the API Connection Manager. Next, we need to configure the remaining properties of the component to download the single file from SharePoint Online.

1. Choose the Download file endpoint from the “Select Table/Endpoint” dropdown menu.
2. Please choose DriveId from the drop-down menu.
3. Please set the FileId that indicates which file you wish to download. This is an essential parameter for the download process.
4. Please set the local folder’s physical path which indicates the desired file being downloaded by setting the TargetFilePath parameter.
5. If you intend to replace the local file with the one being downloaded, please select the ‘AlwaysOverwrite‘ option from the dropdown menu labeled ‘FileOverwriteMode‘. Alternatively, you can choose ‘FileIfExists’ or ‘SkipIfExists’ based on your specific needs.

Please refer to the sample screenshot below.

SSIS API Source – SharePoint Online – Download Single File

Once you have configured all the mentioned properties above, please click on the “Preview Data” button to initiate the API call. With just a few clicks, we have successfully configured the call to SharePoint Online using the ZappySys SharePoint Online Connector for downloading a Single file from SharePoint Online.

How to download multiple files from SharePoint Online

In the API Destination Component, we have chosen the API Connection Manager. Now, we must proceed to configure the remaining properties of the component to facilitate the download of multiple files from SharePoint Online. Additionally, we should make use of an OLE DB Source and Derived Column component to map the files for the download process.

1. Drag and drop the OLE DB Source Component from the SSIS Toolbox. Double-click on the OLE D B Source Component to initiate its configuration.
   

   OLE DB Source – Drag and Drop

2. Create a new OLE DB Connection Manager and configure your SQL Server settings for the connection. Next, select the Data access mode, specify the name of the table or view, or write an SQL Command. Afterward, click on the ‘Preview’ button to view a preview and check the ‘Columns’ tab for the source columns.
   

   SSIS OLE DB Source – Configure SQL Connection and fetch the table data

3. Next, drag and drop the Derived Column Component from the SSIS Toolbox. Double-click on the Derived Column Component to begin its configuration.
   

   Drag and drop the Derived Column

4. Now, add a new Derived Column by setting the expression to concatenate FilePath and FileName. Click ‘OK’ to save the configuration.
   

   SSIS Derived Column – Add New Column and Set Expression

5. Now, drag and drop the API Destination Component from the SSIS Toolbox. Double-click on the API Destination Component to begin its configuration.
   

   Drag and Drop the SSIS API Destination Component

6. Double-click on the API Destination component to configure it for downloading multiple files from SharePoint Online.
   1. Choose the Download file endpoint from the “Select Table/Endpoint” dropdown menu.
   2. Please specify the ‘FileOverwriteMode’ option as ‘AlwaysOverwrite,’ or you can choose ‘FailIfExists’ or ‘SkipIfExists’ options based on your requirements.
      Please refer to the sample screenshot below.
      

      SSIS API Destination Component – Configure Settings Tab to download Files from SharePoint Online

   3. Now, go to the Mappings tab and specify the source columns with the corresponding target properties.
      Note: Here We’re mapping FileID with $$Id and FileNameWithPath with $$ResponseDataFile. You can create mappings based on your Source columns
      Please refer to the sample screenshot below
      

      SSIS API Destination Component – Configure the Mappings Tab to download multiple files from SharePoint Online

7. Once you have configured all the mentioned properties above, please click on the “Preview Data” button from the Settings tab to initiate the API call. With just a few clicks, we have successfully configured the call to SharePoint Online using the ZappySys SharePoint Online Connector for downloading multiple files from SharePoint Online.
   Please refer to the sample screenshot below.
   

   Download Multiple files from SharePoint Online

Conclusion

In this blog, we learned how to connect with SharePoint Online using SSIS API Connection Manager and download single or multiple files from SharePoint Online using a combination of SSIS components, including the SSIS API Source component, SSIS API Destination component, OLE DB Source component, and Derived Column component.

The post How to download files from SharePoint Online using SSIS appeared first on ZappySys Blog.

In today’s data-driven world, the ability to seamlessly integrate and transfer files between different platforms is crucial for efficient business operations. If you’re a user of SQL Server Integration Services (SSIS) and looking to integrate OneDrive into your data workflow, you’re in luck. ZappySys SSIS PowerPack offers a powerful OneDrive Connector that makes downloading files from OneDrive a breeze. In this guide, we’ll walk you through the process of downloading files from OneDrive using SSIS and the ZappySys SSIS PowerPack OneDrive Connector.

Download files from OneDrive with SSIS

In this section, we will learn how to configure and use OneDrive Connector in the API Source & API Destination to download files from OneDrive.

1. Begin with opening Visual Studio and Creating a New Project.
2. Select Integration Service Project and in the new project window set the appropriate name and location for the project. Click OK.
3. In the new SSIS project screen you will find the following:
   1. SSIS ToolBox on the left sidebar
   2. Solution Explorer and Property Window on the right bar
   3. Control flow, data flow, event Handlers, Package Explorer in tab windows
   4. Connection Manager Window at the bottom
   

   SSIS Toolbox – ZappySys Tasks

   NOTE: If you don’t see ZappySys SSIS PowerPack Task or Components in the SSIS Toolbox, please refer to this help link.
4. Now, Drag and Drop the SSIS Data Flow Task from the SSIS Toolbox. Double-click on the Data Flow Task to see the Data Flow Designer.
   
5. From the SSIS toolbox drag and drop API Source (Predefined Templates) on the data flow designer surface, and double-click on it to edit it:
   
6. Select New Connection to create a new connection:
   

Configuring the OneDrive Connector

1. Use a preinstalled OneDrive Connector from the Popular Connector List or press the Search Online radio button to download OneDrive Connector. Once downloaded simply use it in the configuration:
   
2. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed.
3. After configuring all the required properties in the API Connection Manager, please click on the “Test Connection” button to confirm that the connection is established successfully.
   

   Method1: Connect to OneDrive using User Credentials [OAuth]

   You may press a link Steps to Configure which will help set certain parameters.

   

   SSIS API Source – Generate Token – OneDrive with User Credentials

   Method2: Connect to OneDrive using Application Credentials [OAuth]

   You may press a link Steps to Configure which will help set certain parameters.

   

   SSIS API Source – Generate Token – OneDrive with Application Credentials

How to download a single file from OneDrive

In the API Source Component, we’ve chosen the API Connection Manager. Next, we need to configure the remaining properties of the component to download the single file from OneDrive.

1. Choose the Download file endpoint from the “Select Table/Endpoint” dropdown menu.
2. Please choose DriveId from the drop-down menu.
3. Please set the FileId that indicates which file you wish to download. This is an essential parameter for the download process.
4. Please set the local folder’s physical path which indicates the desired file being downloaded by setting the TargetFilePath parameter.
5. If you intend to replace the local file with the one being downloaded, please select the ‘AlwaysOverwrite‘ option from the dropdown menu labeled ‘FileOverwriteMode‘. Alternatively, you can choose ‘FileIfExists’ or ‘SkipIfExists’ based on your specific needs.

Please refer to the sample screenshot below.

SSIS API Source – OneDrive – Download Single File

Once you have configured all the mentioned properties above, please click on the “Preview Data” button to initiate the API call. With just a few clicks, we have successfully configured the call to OneDrive using the ZappySys OneDrive Connector for downloading a Single file from OneDrive.

How to download multiple files from OneDrive

In the API Destination Component, we have chosen the API Connection Manager. Now, we must proceed to configure the remaining properties of the component to facilitate the download of multiple files from OneDrive. Additionally, we should make use of an OLE DB Source and Derived Column component to map the files for the download process.

1. Drag and drop the OLE DB Source Component from the SSIS Toolbox. Double-click on the OLE DB Source Component to initiate its configuration.
   

   OLE DB Source – Drag and Drop

2. Create a new OLE DB Connection Manager and configure your SQL Server settings for the connection. Next, select the Data access mode, specify the name of the table or view, or write an SQL Command. Afterward, click on the ‘Preview’ button to view a preview and check the ‘Columns’ tab for the source columns.
   

   SSIS OLE DB Source – Configure SQL Connection and fetch the table data

3. Next, drag and drop the Derived Column Component from the SSIS Toolbox. Double-click on the Derived Column Component to begin its configuration.
   

   Drag and drop the Derived Column

4. Now, add a new Derived Column by setting the expression to concatenate FilePath and FileName. Click ‘OK’ to save the configuration.
   

   SSIS Derived Column – Add New Column and Set Expression

5. Now, drag and drop the API Destination Component from the SSIS Toolbox. Double-click on the API Destination Component to begin its configuration.
   

   Drag and Drop the SSIS API Destination Component

6. Double-click on the API Destination component to configure it for downloading multiple files from OneDrive.
   1. Choose the Download file endpoint from the “Select Table/Endpoint” dropdown menu.
   2. Please specify the ‘FileOverwriteMode’ option as ‘AlwaysOverwrite,’ or you can choose ‘FailIfExists’ or ‘SkipIfExists’ options based on your requirements.
      Please refer to the sample screenshot below.
      

      SSIS API Destination Component – Configure Settings Tab

   3. Now, go to the Mappings tab and specify the source columns with the corresponding target properties.
      Note: Here We’re mapping FileID with $$Id and FileNameWithPath with $$ResponseDataFile. You can create mappings based on your Source columns
      Please refer to the sample screenshot below
      

      SSIS API Destination Component – Configure Mappings Tab

7. Once you have configured all the mentioned properties above, please click on the “Preview Data” button from the Settings tab to initiate the API call. With just a few clicks, we have successfully configured the call to OneDrive using the ZappySys OneDrive Connector for downloading multiple files from OneDrive.
   Please refer to the sample screenshot below.
   

   Download Multiple files from OneDrive

Conclusion

In this blog, we learned how to connect with OneDrive using SSIS API Connection Manager and download single or multiple files from OneDrive using a combination of SSIS components, including the SSIS API Source component, SSIS API Destination component, OLE DB Source component, and Derived Column component.

The post How to download files from OneDrive using SSIS appeared first on ZappySys Blog.

In today’s data-driven world, the ability to seamlessly integrate and transfer files between different platforms is crucial for efficient business operations. If you’re a user of SQL Server Integration Services (SSIS) and looking to integrate OneDrive into your data workflow, you’re in luck. ZappySys SSIS PowerPack offers a powerful OneDrive Connector that makes uploading files to OneDrive a breeze. In this guide, we’ll walk you through the process of uploading files to OneDrive using SSIS and the ZappySys SSIS PowerPack OneDrive Connector.

Upload files to OneDrive with SSIS:

In this section, we will learn how to configure and use OneDrive Connector in the API Source to upload files on OneDrive.

1. Begin with opening Visual Studio and Creating a New Project.
2. Select Integration Service Project and in the new project window set the appropriate name and location for the project. Click OK.
3. In the new SSIS project screen you will find the following:
   1. SSIS ToolBox on the left sidebar
   2. Solution Explorer and Property Window on the right bar
   3. Control flow, data flow, event Handlers, Package Explorer in tab windows
   4. Connection Manager Window at the bottom
   

   SSIS Toolbox – ZappySys Tasks

   NOTE: If you don’t see ZappySys SSIS PowerPack Task or Components in the SSIS Toolbox, please refer to this help link.
4. Now, Drag and Drop the SSIS Data Flow Task from the SSIS Toolbox. Double-click on the Data Flow Task to see the Data Flow Designer.
   
5. From the SSIS toolbox drag and drop API Source (Predefined Templates) on the data flow designer surface, and double-click on it to edit it:
   
6. Select New Connection to create a new connection:
   

Configuring the OneDrive Connector

1. Use a preinstalled OneDrive Connector from the Popular Connector List or press the Search Online radio button to download OneDrive Connector. Once downloaded simply use it in the configuration:
   
2. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed.
3. After configuring all the required properties in the API Connection Manager, please click on the “Test Connection” button to confirm that the connection is established successfully.
   

   Method1: Connect to OneDrive using User Credentials [OAuth]

   You may press a link Steps to Configure which will help set certain parameters.

   

   SSIS API Source – Generate Token – OneDrive with User Credentials

   Method2: Connect to OneDrive using Application Credentials [OAuth]

   You may press a link Steps to Configure which will help set certain parameters.

   

   SSIS API Source – Generate Token – OneDrive with Application Credentials

How to upload a local file to OneDrive

In the API Source Component, we’ve chosen the API Connection Manager. Next, we need to configure the remaining properties of the component to upload a local file to OneDrive.

1. Choose the Upload file endpoint from the “Select Table/Endpoint” dropdown menu.
2. Select the desired Drive ID from the DriveId drop-down.
3. Specify the desired source file path for the file being uploaded by setting the SourceFilePath parameter.
4. Specify the desired Target Path by setting the TargetFilePath parameter.

Please refer to the sample screenshot below.

SSIS API Source – OneDrive – Upload Single File

Once you have configured all the mentioned properties above, please click on the “Preview Data” button to initiate the API call. With just a few clicks, we have successfully configured the call to OneDrive using the ZappySys OneDrive Connector for uploading a local file to OneDrive.

How to upload multiple files to OneDrive

In the API Source Component, we’ve selected the API Connection Manager. Next, we need to configure the remaining properties of the component to upload multiple files to OneDrive. Additionally, we should utilize a Foreach Loop Container to iterate through each file one by one in a loop.

1. Create 3 SSIS variables as described below.
   

   Variable Name	Datatype	Value
   varFileLists	Object	System.Object
   varFileName	String	fake.extension
   varFullFilePath	String	C:/fake/fake.extension

2. Go to Control Flow, From the SSIS toolbox drag and drop ZS Advanced File System Task on the control flow designer surface, and double click on it to edit it:
   
3. Select the “Get file list as ADO.NET Data Table” action from the Action drop-down menu. Set the file path in the Path textbox. Choose the variable (Object type) where you want to store the file list, and then click the OK button to save the settings.
   

   SSIS Advanced File System Task – Get file list as ADO.net Data Table

4. Now, drag and drop the “Foreach Loop Container” from the SSIS Toolbox and connect it with the “ZS Advanced File System Task.” Double-click on the “Foreach Loop Container” to edit its properties.
   

   SSIS Foreach Loop Container – Drag & Drop

5. In the Foreach Loop Editor’s “Collection” tab, choose the Enumerator as “Foreach ADO Enumerator.” In the “ADO object source variable” field, select your SSIS object-typed variable. Select the “Rows in the first table” radio option.
   

   SSIS Foreach Loop Editor – Collection – Select Variable & Enumeration mode

6. In the Foreach Loop Editor’s “Variable Mappings” tab, select the variables that you want to map to the values from the collection, and then click the “OK” button to save your selections.
   

   SSIS Foreach Loop Editor – Variable Mappings

7. Inside the Foreach Loop Container, drag and drop the Data Flow Task, and then rename it according to your preference.
   

   SSIS Data Flow Task – Drag & Drop inside Foreach Loop Container

8. Double-click on the Data Flow Task to see the Data Flow Designer, From the SSIS toolbox drag and drop API Source (Predefined Templates) on the data flow designer surface, and double-click on it to edit it:
   
9. Double-click on the API Source component to configure it for uploading multiple files to OneDrive.
   1. Choose the Upload file endpoint from the “Select Table/Endpoint” dropdown menu.
   2. Please specify the desired SSIS Variable [varFileName] containing the uploaded file name by setting the TargetFilePath parameter.
   3. To specify the desired local SSIS variable [varFullFilePath], which holds the file path, set the SourceFilePath parameter.
      When configuring the SSIS variable directly in the Raw Edit, JSON may become invalid due to the requirement of slashes within the local file path. To address this, we use a JSONENC Placeholder Function for proper escaping.
      

      <<{{User::varUserFullFilePath}},FUN_JSONENC>>

   4. If you wish to upload the local file to a specific folder in OneDrive, please set the folderName in the TargetFilePath parameter.

   Please refer to the sample screenshot below.

   

   SSIS API Source – OneDrive – Upload Multiple files configuration

   To configure dynamic filenames and file paths, you can set variables. Click on “Raw Edit,” and in the “Edit Parameters” popup, you can use SSIS variables, as shown in the above image.

   Once you have configured all the mentioned properties above, please click on the “Preview Data” button to initiate the API call.
   After that, you can execute the SSIS Package and check the execution to upload multiple files on OneDrive. Below is the sample screenshot attached.
   
   Multiple files uploaded on OneDrive using SSIS

   With just a few clicks, we have successfully configured the call to OneDrive using the ZappySys OneDrive Connector for uploading multiple files to OneDrive.

Conclusion

In this blog, we learned how to connect with OneDrive using SSIS API Connection Manager and upload single or multiple files to OneDrive using a combination of SSIS components, including the SSIS API Source component, SSIS ZS Advanced File System Task, Foreach Loop Container, and SSIS variables.

The post How to upload files on OneDrive using SSIS appeared first on ZappySys Blog.

In today’s data-driven world, the ability to seamlessly integrate and transfer files between different platforms is crucial for efficient business operations. If you’re a user of SQL Server Integration Services (SSIS) and looking to integrate Google Drive into your data workflow, you’re in luck. ZappySys SSIS PowerPack offers a powerful Google Drive Connector that makes downloading files from Google Drive a breeze. In this guide, we’ll walk you through the process of downloading files from Google Drive using SSIS and the ZappySys SSIS PowerPack Google Drive Connector.

Download files from Google Drive with SSIS:

In this section, we will learn how to configure and use Google Drive Connector in the API Source & API Destination to download files from Google Drive.

1. Begin with opening Visual Studio and Creating a New Project.
2. Select Integration Service Project and in the new project window set the appropriate name and location for the project. Click OK.
3. In the new SSIS project screen you will find the following:
   1. SSIS ToolBox on the left sidebar
   2. Solution Explorer and Property Window on the right bar
   3. Control flow, data flow, event Handlers, Package Explorer in tab windows
   4. Connection Manager Window at the bottom

   -`
   

   NOTE: If you don’t see ZappySys SSIS PowerPack Task or Components in the SSIS Toolbox, please refer to this help link.
4. Now, Drag and Drop the SSIS Data Flow Task from the SSIS Toolbox. Double-click on the Data Flow Task to see the Data Flow Designer.
   
5. From the SSIS toolbox drag and drop API Source (Predefined Templates) on the data flow designer surface, and double-click on it to edit it:
   
6. Select New Connection to create a new connection:
   

Configuring the Google Drive Connector

1. Use a preinstalled Google Drive Connector from the Popular Connector List or press the Search Online radio button to download Google Drive Connector. Once downloaded simply use it in the configuration:
   
2. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed.
3. After configuring all the required properties in the API Connection Manager, please click on the “Test Connection” button to confirm that the connection is established successfully.
   

   Method1: Connect to Google Drive using User Account [OAuth]

   You may press a link Steps to Configure which will help set certain parameters.

   

   SSIS API Source – Generate Token – Google Drive with User Account

   Method2: Connect to Google Drive using Service Account [OAuth]

   You may press a link Steps to Configure which will help set certain parameters.

   

   SSIS API Source – Generate Token – Google Drive with Service Account

How to download a single file from Google Drive

In the API Source Component, we’ve chosen the API Connection Manager. Next, we need to configure the remaining properties of the component to download the single file from Google Drive.

1. Choose the Download a file endpoint from the “Select Table/Endpoint” dropdown menu.
2. To access detailed API documentation for downloading files, you can click on the following link: Help for: Download a File.
3. Please choose a File ID from the drop-down menu to indicate which file you wish to download. This is an essential parameter for the download process.
4. Please indicate the desired filename for the file being downloaded by setting the FileName parameter.
5. If you intend to replace the local file with the one being downloaded, please select the ‘AlwaysOverwrite‘ option from the dropdown menu labeled ‘FileOverwriteMode‘. Alternatively, you can choose ‘FileIfExists’ or ‘SkipIfExists’ based on your specific needs.

Please refer to the sample screenshot below.

SSIS API Source – Google Drive – Download Single File

Once you have configured all the mentioned properties above, please click on the “Preview Data” button to initiate the API call. With just a few clicks, we have successfully configured the call to Google Drive using the ZappySys Google Drive Connector for downloading a Single file from Google Drive.

How to download multiple files from Google Drive

In the API Destination Component, we have chosen the API Connection Manager. Now, we must proceed to configure the remaining properties of the component to facilitate the download of multiple files from Google Drive. Additionally, we should make use of an OLE DB Source and Derived Column component to map the files for the download process.

1. Drag and drop the OLE DB Source Component from the SSIS Toolbox. Double-click on the OLE DB Source Component to initiate its configuration.
   

   OLE DB Source – Drag and Drop

2. Create a new OLE DB Connection Manager and configure your SQL Server settings for the connection. Next, select the Data access mode, specify the name of the table or view, or write an SQL Command. Afterward, click on the ‘Preview’ button to view a preview and check the ‘Columns’ tab for the source columns.
   

   SSIS OLE DB Source – Configure SQL Connection and fetch the table data

3. Next, drag and drop the Derived Column Component from the SSIS Toolbox. Double-click on the Derived Column Component to begin its configuration.
   

   Drag and drop the Derived Column

4. Now, add a new Derived Column by setting the expression to concatenate FilePath and FileName. Click ‘OK’ to save the configuration.
   

   SSIS Derived Column – Add New Column & Set Expression

5. Now, drag and drop the API Destination Component from the SSIS Toolbox. Double-click on the API Destination Component to begin its configuration.
   

   Drag and Drop the SSIS API Destination Component

6. Double-click on the API Destination component to configure it for uploading multiple files to Google Drive.
   1. Choose the Download a file endpoint from the “Select Table/Endpoint” dropdown menu.
   2. To access detailed API documentation for downloading files, you can click on the following link: Help for: Download File.
   3. Please specify the ‘FileOverwriteMode’ option as ‘AlwaysOverwrite,’ or you can choose ‘FailIfExists’ or ‘SkipIfExists’ options based on your requirements.
      Please refer to the sample screenshot below.
      

      SSIS API Destination Component – Configure Settings Tab

   4. Now, go to the Mappings tab and specify the source columns with the corresponding target properties.
      Note: Here We’re mapping FileID with $$Id and FileNameWithPath with $$ResponseDataFile. You can create mappings based on your Source columns
      Please refer to the sample screenshot below
      

      SSIS API Destination Component – Configure Mappings Tab

7. Once you have configured all the mentioned properties above, please click on the “Preview Data” button from the Settings tab to initiate the API call. With just a few clicks, we have successfully configured the call to Google Drive using the ZappySys Google Drive Connector for downloading multiple files from Google Drive.
   Please refer to the sample screenshot below.
   

   Download Multiple files from Google Drive

Conclusion

In this blog, we learned how to connect with Google Drive using SSIS API Connection Manager and download single or multiple files from Google Drive using a combination of SSIS components, including the SSIS API Source component, SSIS API Destination component, OLE DB Source component, and Derived Column component.

The post How to download files from Google Drive using SSIS appeared first on ZappySys Blog.

In today’s data-driven world, the ability to seamlessly integrate and transfer files between different platforms is crucial for efficient business operations. If you’re a user of SQL Server Integration Services (SSIS) and looking to integrate Google Drive into your data workflow, you’re in luck. ZappySys SSIS PowerPack offers a powerful Google Drive Connector that makes uploading files to Google Drive a breeze. In this guide, we’ll walk you through the process of uploading files to Google Drive using SSIS and the ZappySys SSIS PowerPack Google Drive Connector.

Upload files to Google Drive with SSIS:

In this section, we will learn how to configure and use Google Drive Connector in the API Source to upload files on Google Drive.

1. Begin with opening Visual Studio and Creating a New Project.
2. Select Integration Service Project and in the new project window set the appropriate name and location for the project. Click OK.
3. In the new SSIS project screen you will find the following:
   1. SSIS ToolBox on the left sidebar
   2. Solution Explorer and Property Window on the right bar
   3. Control flow, data flow, event Handlers, Package Explorer in tab windows
   4. Connection Manager Window at the bottom
   

   SSIS Toolbox – ZappySys Tasks

   NOTE: If you don’t see ZappySys SSIS PowerPack Task or Components in the SSIS Toolbox, please refer to this help link.
4. Now, Drag and Drop the SSIS Data Flow Task from the SSIS Toolbox. Double-click on the Data Flow Task to see the Data Flow Designer.
   
5. From the SSIS toolbox drag and drop API Source (Predefined Templates) on the data flow designer surface, and double-click on it to edit it:
   
6. Select New Connection to create a new connection:
   

Configuring the Google Drive Connector

1. Use a preinstalled Google Drive Connector from the Popular Connector List or press the Search Online radio button to download Google Drive Connector. Once downloaded simply use it in the configuration:
   
2. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed.
3. After configuring all the required properties in the API Connection Manager, please click on the “Test Connection” button to confirm that the connection is established successfully.
   

   Method1: Connect to Google Drive using User Account [OAuth]

   You may press a link Steps to Configure which will help set certain parameters.

   

   SSIS API Source – Generate Token – Google Drive with User Account

   Method2: Connect to Google Drive using Service Account [OAuth]

   You may press a link Steps to Configure which will help set certain parameters.

   

   SSIS API Source – Generate Token – Google Drive with Service Account

How to upload a local file to Google Drive

In the API Source Component, we’ve chosen the API Connection Manager. Next, we need to configure the remaining properties of the component to upload a local file to Google Drive.

1. Choose the Upload a file endpoint from the “Select Table/Endpoint” dropdown menu.
2. To access detailed API documentation for uploading files, you can click on the following link: Help for: Upload File.
3. Please specify the desired filename for the uploaded file by setting the FileName parameter.
4. Specify the desired local file path by setting the DiskFilePath parameter.
5. If you wish to upload the local file to a specific folder in Google Drive, please choose the folder ID from the dropdown menu labeled ParentFolderId. Otherwise, you can skip this parameter as it’s optional.

Please refer to the sample screenshot below.

SSIS API Source – Google Drive – Upload Single File

Once you have configured all the mentioned properties above, please click on the “Preview Data” button to initiate the API call. With just a few clicks, we have successfully configured the call to Google Drive using the ZappySys Google Drive Connector for uploading a local file to Google Drive.

How to upload multiple files to Google Drive

In the API Source Component, we’ve selected the API Connection Manager. Next, we need to configure the remaining properties of the component to upload multiple files to Google Drive. Additionally, we should utilize a Foreach Loop Container to iterate through each file one by one in a loop.

1. Create 3 SSIS variables as described below.
   

   Variable Name	Datatype	Value
   varFileLists	Object	System.Object
   varFileName	String	fake.extension
   varFullFilePath	String	C:/fake/fake.extension

2. Go to Control Flow, From the SSIS toolbox drag and drop ZS Advanced File System Task on the control flow designer surface, and double click on it to edit it:
   
3. Select the “Get file list as ADO.NET Data Table” action from the Action drop-down menu. Set the file path in the Path textbox. Choose the variable (Object type) where you want to store the file list, and then click the OK button to save the settings.
   

   SSIS Advanced File System Task – Get file list as ADO.net Data Table

4. Now, drag and drop the “Foreach Loop Container” from the SSIS Toolbox and connect it with the “ZS Advanced File System Task.” Double-click on the “Foreach Loop Container” to edit its properties.
   

   SSIS Foreach Loop Container – Drag & Drop

5. In the Foreach Loop Editor’s “Collection” tab, choose the Enumerator as “Foreach ADO Enumerator.” In the “ADO object source variable” field, select your SSIS object-typed variable. Select the “Rows in the first table” radio option.
   

   SSIS Foreach Loop Editor – Collection – Select Variable & Enumeration mode

6. In the Foreach Loop Editor’s “Variable Mappings” tab, select the variables that you want to map to the values from the collection, and then click the “OK” button to save your selections.
   

   SSIS Foreach Loop Editor – Variable Mappings

7. Inside the Foreach Loop Container, drag and drop the Data Flow Task, and then rename it according to your preference.
   

   SSIS Data Flow Task – Drag & Drop inside Foreach Loop Container

8. Double-click on the Data Flow Task to see the Data Flow Designer, From the SSIS toolbox drag and drop API Source (Predefined Templates) on the data flow designer surface, and double click on it to edit it:
   
9. Double-click on the API Source component to configure it for uploading multiple files to Google Drive.
   1. Choose the Upload a file endpoint from the “Select Table/Endpoint” dropdown menu.
   2. To access detailed API documentation for uploading files, you can click on the following link: Help for: Upload File.
   3. Please specify the desired SSIS Variable [varFileName] which contains file name for the uploaded file by setting the FileName parameter.
   4. To specify the desired local SSIS variable [varFullFilePath], which holds the file path, set the DiskFilePath parameter.
      When configuring the SSIS variable directly in the Raw Edit, JSON may become invalid due to the requirement of slashes within the local file path. To address this, we use a JSONENC Placeholder Function for proper escaping.
      

      <<{{User::varUserFullFilePath}},FUN_JSONENC>>

   5. If you wish to upload the local file to a specific folder in Google Drive, please choose the folder ID from the dropdown menu labeled ParentFolderId. Otherwise, you can skip this parameter as it’s optional.

   Please refer to the sample screenshot below.

   

   SSIS API Source – Google Drive – Upload Multiple files configuration

   To configure dynamic filenames and file paths, you can set variables. Click on “Raw Edit,” and in the “Edit Parameters” popup, you can use SSIS variables, as shown in the image below.

   Once you have configured all the mentioned properties above, please click on the “Preview Data” button to initiate the API call. With just a few clicks, we have successfully configured the call to Google Drive using the ZappySys Google Drive Connector for uploading multiple files to Google Drive.

Conclusion

In this blog, we learned how to connect with Google Drive using SSIS API Connection Manager and upload single or multiple files to Google Drive using a combination of SSIS components, including the SSIS API Source component, SSIS ZS Advanced File System Task, Foreach Loop Container, and SSIS variables.

The post How to upload files on Google Drive using SSIS appeared first on ZappySys Blog.

This release brings tons of new features and bug fixes. We have added new connectors for CosmosDB, Azure DevOps (TFS), ServiceNow, MailChimp, API Drivers and Data Gateway. It includes many enhancements around All Drivers and JSON / XML / CSV Driver.

To see full release notes click here

New Features/Improvements

• NEW: API Driver – CosmosDB – New connector to Read / Write / Query documents and other objects (e.g. Database, Containers)
• NEW: API Driver – Azure DevOps (TFS) – New connector to Read / Write / Query items (e.g. Tasks, Bugs, User Story)
• NEW: API Driver – ServiceNow – New connector to Read / Write / Query tables (e.g. Incidents, Tasks, Users)
• NEW: API Driver – MailChimp – New connector to Read / Write / Query MailChimp data (e.g. Campaigns, Lists, Subscribes, Reports)
• NEW: All API Drivers – Allow bool as alias for boolean type in META clause (e.g. META=’flag: bool’)
• NEW: All API Drivers – Allow just column names without datatype in Meta – use string(2000) as default if type missing (e.g. select * from tbl WITH(META=’col1;col2;col4;col5:int;col6:string(100)’) )
• NEW: Amazon JSON / XML /CSV Driver – Update AWS SDK (Core Driver to v3.7)
• NEW: API Connector Framework – Add Support for Multiple LookupEndPoints based on Parameter count (LookupEndPoint=”ep_by_customerid, ep_by_orderid”)
• NEW: API Driver – HubSpot – Add Upload File endpoint
• NEW: Data Gateway – Encrypt Setting File with user defined password
• NEW: General – Update Client Side Query Engine to v3.40
• NEW: JDBC Bridge Driver – Add logging
• NEW: JSON / XML / CSV Driver – Add option to Create new API Connector File from UI settings on the Preview Tab
• NEW: JSON / XML / CSV Driver – Add support for reading *.tar.gzip file (multiple files in one tar.gzip)
• NEW: JSON / XML / CSV Driver – ClientCertificate not supported if you change SslVersion settings other than Default

Bug fixes

• FIX: All API Drivers – Certain errors not bubbled up to the caller application
• FIX: All API Drivers – When META is set to int, bool, date and you encounter blank data then it throws error about conversion (we should treat blank number, date, bool as null) – Error Input string was not in a correct format.
• FIX: All Drivers – Misleading error is thrown (Value cannot be null) when you run Stored Proc which has syntax issue (i.e. not starting with CREATE PROC statement)
• FIX: All Drivers – Duplicate column names in SELECT cause misleading error (Item Key already added)
• FIX: All Drivers – More than 900 columns throws error – too many SQL variables
• FIX: All Drivers – Preview Tab shows duplicate entries in Table dropdown if you click Dropdown multiple times too quick
• FIX: All Drivers – View Metadata shows wrong code for API Connector XML option (Rather than DataType=xx , it shows Type=xx)
• FIX: API Driver – Always Treat Blank Number, Date, Bool as Null is not working
• FIX: API Driver – Delete / Update clause does not set Table Parameters from WITH clause
• FIX: API Driver – Limit rows coming back from WHERE clause in Update / Delete in Preview (Honor Max Rows setting)
• FIX: JDBC Bridge Driver – Cache Settings not saved
• FIX: JDBC Bridge Driver – Stored Proc doesnt return output
• FIX: JSON / XML / CSV Driver – Direct String option not saved and only works if you use WITH (DATA=xxxx) in SQL, UI option ignored
• FIX: JSON / XML / CSV Drivers – Value for Direct Data and Keep Date As String Option not saved
• FIX: JSON, XML , CSV Driver – Placeholder function doesnt work in URL / Body / Headers (When entered on UI) – Works ok if you override in WITH Clause SRC
• FIX: JSON, XML Driver – Curly bracket in comment section cause error when URL JOIN (e.g. JOIN_1 in WITH ) feature is used – Error – Input string was not in a correct format

The post ODBC PowerPack 1.8.0 released appeared first on ZappySys Blog.

This release brings tons of new features and bug fixes. We have added new connectors for Outlook Mail (Office 365), Shopify, Google BigQuery, JDBC Bridge Driver and JSON / CSV / XML Driver.

To see full release notes click here

New Features/Improvements

• NEW: API Driver – Outlook Mail (Office 365) – New connector to read / download mail and attachments from Office 365 Mail account
• NEW: API Driver – Shopify – New Connector to Read / Write Shopify data (e.g. Customers, Products, Orders)
• NEW: API Connector – Google BigQuery – Add Job Location Option for get_query and connection Level
• NEW: API Connector Framework – Add Option TreatBodyAsDirectValue (Body parsed as input data rather than calling URL)
• NEW: API Connector Framework – Allow to Read data From Local File – (Set <EndPoint Url=”c:\data\file.json” or “.xml” or “.csv”)
• NEW: API Connector Framework – Generic Request – Make Content-Type and Request Method visible by default
• NEW: General – Add API Connector format in View Metadata dialog box
• NEW: JDBC Bridge Driver – Check Java found – If missing then Download JRE in single click
• NEW: JDBC Bridge Driver – Replace Named Pipes to Socket to avoid orphan process / hang / access denied / timeout issues
• NEW: JSON / CSV / XML Driver – Add an option to support high precision / scale decimal numbers (more than 15 digits numbers)
• NEW: JSON, CSV, XML Driver – Add Support for high precision decimal numbers (New Option under Date/Number Handling)

Bug fixes

• FIX: API Connector Framework – When Direct Placeholder Function used along with [$SomeParam$] in ValueTemplate of InputColumn then it doesnt evaluate for each row (Using Cached Value rather than Row By Row) – Example [$p1]<<{$value$},FUN_BASE64ENC>>
• FIX: API Connector Framework – When Key column not declared in InputColumns – Delete / Update might fail – error near “from” ()
• FIX: API Connector Framework – When nested column under Unbound node found in LayoutMap not supplied you may see bad JSON created
• FIX: API Connector Framework – Zendesk – When you dont supply requestor / comment your create Ticket call might fail
• FIX: API Driver – When WHERE clause not supplied DELETE / UPDATE doesnt do anything
• FIX: Data Gateway – CAL is taken by unwanted callers even they are not logged in
• FIX: Data Gateway – Existing connections created before v1.6.0 corrupted (Before Aug 10, 2022)
• FIX: Data Gateway – IP Filter Rules not working for multiple conditions
• FIX: General – Click on Activate License throws misleading error if activation fails – It says could not load file or assembly Rebex.Http
• FIX: General – Preview window Trims error message to 1024 characters
• FIX: JSON Driver, XML Driver – When nested filter used (e.g. $.customers[*].orders ) along with IncludeParentColumns option not working sometimes (Throws error or shows wrong value for parent column)

The post ODBC PowerPack 1.7.0 released appeared first on ZappySys Blog.

This release brings some of new features and had many bug fixes.

To see full release notes click here

New Features/Improvements

• NEW: All Drivers – Add support for Turkey (tr-TR) and Azerbaijani (az-Cyrl) environment
• NEW: JDBC Bridge Driver – Change Driver name from “Jdbc Bridge” to “JDBC Bridge”

Bug fixes

• FIX: All Drivers – Load Connection Settings can only accept string upto 32KB – Longer settings cannot be loaded (Truncated)
• FIX: All Drivers – Load Settings might throw error if new line found – Error-Invalid ConnectionString format. Name value pair is missing for [ newline ]
• FIX: All Drivers – Logging feature is not working as expected sometime (Some Log entries not found in File)
• FIX: API Driver – BigQuery – Data Fetch Request Fired two times
• FIX: API Driver – Query Builder generated SQL for Generic_Request endpoint does not work correctly when you pass Body / Headers (renaming RequestData, RequestMethod works)
• FIX: API Driver, Excel Driver – LogPath, LoggingLevel is not applied correctly via Odbc ConnectionString
• FIX: JDBC Bridge Driver – Copy ConnectionString (without Password) option copies password
• FIX: JDBC Bridge Driver – For some JDBC Views not reported in the Dropdown (Preview Tab) – Problem in Infor JDBC
• FIX: JDBC Bridge Driver – In some apps (like VS Solution Explorer) – Tables / Views / Procs not reported
• FIX: JDBC Bridge Driver – java.exe process is not released from memory in some cases (e.g. Power BI Desktop)
• FIX: JDBC Bridge Driver – Object reference not set error in log when JDBC driver throws error
• FIX: JDBC Bridge Driver, API Driver – Wrong Catalog name is used
• FIX: Salesforce Driver – When you call INSERT with EnableBulkMode you may get error – Could not load file or assembly ZappySys.Json
• FIX: SFTP / Azure Blob Drivers (for CSV / JSON / XML) – You may get error – Could not load file or assembly ZappySys.Json on UI load or execution
• FIX: SFTP CSV / XML / JSON Driver – Detailed Log is not produced

The post ODBC PowerPack 1.6.3 released appeared first on ZappySys Blog.