In this tutorial, we will use the REST API Task to call some API. We will use the OAuth connection along the REST API Task to write / update data to Google Spreadsheet.

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 Google API.

Component Mention in this article

	JSON Generator Transform
	Web API Destination
	REST API Task

Create a Google API Project

The first step to access any Google API is to create an API Project in Google Console. If you don’t want to go through this then Skip this Step-1 and in the next section select the Default OAuth App option on OAth Connection Manager (This is the easiest option for now unless you want to use your own OAuth App).

Check this article for step-by-step instructions. When you follow these instructions make sure you enable Google Sheet API.

Create OAuth Connection Manager in SSIS

Once you create a Google API project and obtained a Client ID and Client Secret your next step is to create OAuth Connection Manager in SSIS. ZappySys OAuth connection manager comes with many predefined OAuth Providers (e.g. Facebook, Twitter, Google, etc) but you can also define custom OAuth settings for any OAuth enabled API.

To create SSIS OAuth 2.0 Connection for Google API perform the following steps.

1. Download and Install SSIS PowerPack.
2. Create a new SSIS Package.
3. Right-click in Connection Manager Area and Click “New Connection”.
4. When prompted select ZS-OAUTH connection type, On the OAuth Connection Manager Select Provider=Google.
5. Click here to create credentials. Then select the “Use Custom OAuth App” option and enter your ClientID, ClientSecret.
6. In the Scopes enter below scopes (or click Select Scopes). This will allow read/write access to Drive Files or Sheet (E.g. Reading file content / Export file to CSV). You can use the Scope browser to see many other available permissions. For more information click here.
   

   https://www.googleapis.com/auth/drive
   https://www.googleapis.com/auth/drive.file
   https://www.googleapis.com/auth/drive.readonly
   https://www.googleapis.com/auth/spreadsheets
   https://www.googleapis.com/auth/spreadsheets.readonly

7. Click on the Generate Token button.
   

   SSIS OAuth Connection Manager – Access Google Drive API using OAuth 2.0

8. You will see UI as below… Click Allow (You may have to scroll to see that button sometimes).
9. Click on Test Connection to see the connection is working and click on the OK button to save configure setting UI.

Find Google Sheet ID for API calls

Before we can write or update Sheet data in SSIS we need to know Google Driver File ID. We will use this ID in the next few sections.

The easiest way to find File ID is to look at the URL like below. If you need to know ID at runtime dynamically then refer to the last section.

Get Google Drive File ID for API call (Sheet ID)

Create Variables to make dynamic URL

1. Here, we are going to make a Dynamic URL value.
2. In Visual Studio Project Right Click on Design Panel, Select Variables.
   

   Create Variables

3. Let’s Create Variables with correct DataType and Value. In variable “varRange” set only the starting point(Sheet1!A2) of data if you don’t know the ending point and leave the first-row for giving header row later or click here.
   

Write SQL Server data to Google Spreadsheet

Now let’s look at a real-world example. How to write data from SQL Server table or other source and send to Google Sheet using Web API Destination.

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

   Dragging and dropping Data Flow Task into Control Flow

2. Double click on the Data Flow task to see the Data Flow designer surface.
3. Here, In Visual Studio, drag and drop the OLE DB Source, JSON Generator Transform and Web API Destination in the design surface and join the components with the blue arrow.
   

   Drag and Drop OLE DB Source, JSON Generator Transform, and Web API Destination

4. Here, you can use our Free ZS Dummy Data Source too. Click here for more information.
5. But, we are going through OLE DB Source so we need OLEDB Connection.

Create OLE DB Connection

1. Lets, create the OLE DB Connection.
2. Let’s, Right-click on Connection Managers Panel to Create OLEDB Connection, so you can use Source and Context Menu will appear, Select New OLEDB Connection from the Context Menu.
   

   Create OLE DB Connection

3. Now, click on New Button to create Connection.
   

   Create New Connection

4. Let’s Configure Connection Manager, just Follow steps one by one as we have created.
   

   Configure OLE DB Connection

5. Click on Test Connection to see correct configure it.
6. Click on the OK button to save connection configure setting UI.

Configure JSON Generator Transform

1. Double click on JSON Generator Transform to configure it.
2. Set Output Mode to Single Dataset Array. Right-click on Mappings, select Add Static Element then enter Name: “range” and Select variable we have created for value.
   

   Configure JSON Generator Transform – Add Static Value

3. Again, Right-click on Mappings, select Add Static Element then enter Name: “majorDimension” and Value: “ROWS“.
   

   Configure JSON Generator Transform – Add Static Value

4. Now, Right-click on Mappings, select Add Document Array, Check to Treat as 2D array option and enter Element Name as “values“.
   

   Configure JSON Generator Transform – Add Document Array

5. Then, right-click on Document Array, select Add elements > Select Add Multiple Columns and check on columns you like to add.
   

   Configure JSON Generator Transform – Add Element

6. Click on the OK button to save JSON Generator Transform configure setting UI.

Configure Web API Destination

1. Double click on Web API Destination to configure it.
2. Select the OAuth connection manager created in an earlier section (Assuming you had all scopes with write permission).
3. In the Setting tab,
   1. In URL, Generate Dynamic URL like below. Change Sheet ID, Range designator(including Sheet name) and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}/values/{{User::varRange}}:{{User::varSpreadsheetValues}}?valueInputOption={{User::varValueInputOption}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc/values/Sheet1!A2:B4:append?valueInputOption=USER_ENTERED

   2. Change Request Method to POST.
   3. Select JSON Generator variable into Body (Request Data) or you can select Input column for Body (JSON Generator Output).
   4. Set application/JSON to Body Content-type.
      

      Configure Web API Destination

4. Click on the OK button to save Web API Destination configure setting UI.
5. That’s all, You are ready to Run or Execute Task and verify data into Google spreadsheet. Now update header row values for click here.
   

   Run or Execute Package and verify data into Google Spreadsheet

Append data to Google SpreadSheet using REST API Task

Now let’s look at how to write to Google SpreadSheet. To write multiple rows in a single request. Also, check this link to learn more.

For more information, you can see the example here. For parameter, detail review this API documentation.

You can use SSIS REST API Task or Web API Destination to achieve the Spreadsheet write scenario. For a simple example, let’s use the REST API Task.

1. Drag and Drop ZS REST API Task on the control flow designer.
   

   Drag and Drop REST API Task

2. Double click on ZS REST API Task to configure it.
3. In the Request Settings tab,
   1. set Request URL Access Mode to Url from a connection. Select OAuth Connection from the dropdown (Same connection we created in the previous section).
   2. Enter the URL below. Change Sheet ID, Range designator(including Sheet name) and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}/values/{{User::varRange}}:{{User::varSpreadsheetValues}}?valueInputOption={{User::varValueInputOption}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc/values/Sheet1!A1:append?valueInputOption=USER_ENTERED

   3. Change Request Method to POST.
   4. Enter Request Body as below
      
      Note: For example purpose, we included header line in data cells but in the real-world header may already exist in the sheet.

      {
        "range": "{{User::varRange}}",
        "majorDimension": "ROWS",
        "values": [
          ["Item", "Cost", "Stocked", "Ship Date"],
          ["Wheel", "$20.50", "4", "3/1/2016"],
          ["Door", "$15", "2", "3/15/2016"],
          ["Engine", "$100", "1", "3/20/2016"],
          ["Totals", "=SUM(B2:B4)", "=SUM(C2:C4)", "=MAX(D2:D4)"]
        ]
      }

   5. Change Request Content type to application/JSON.
      

      Write data to Google SpreadSheet using REST API Task (OAuth 2.0 Connection)

4. Click on the OK button to save REST API Task configure setting UI.
5. That’s all, You are ready to Run or Execute Task and verify data into Google spreadsheet.
   

   Execute REST API Task and verify Google Spreadsheet data

Update Google Sheet Cells

Now let’s look at the below example of updating multiple cells in google Spreadsheet. For more information, you can see the example here. For parameter, detail review this API documentation.

You can use SSIS REST API Task or Web API Destination to achieve the Spreadsheet Update scenario. For a simple example, let’s use the REST API Task.

Update Google Sheet header cells manually

1. Drag and drop ZS REST API Tasks on the control flow designer.
2. Double click on the First REST API Task to configure it.
3. In the Request Settings tab,
   1. Enter the URL below. Change Range designator(including Sheet name: Sheet1!A1) and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}/values/{{User::varRange}}?valueInputOption={{User::varValueInputOption}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc/values/Sheet1!A1?valueInputOption=USER_ENTERED

   2. Change Request Method to PUT.
   3. Enter Request Body as below
      

      {
        "range": "{{User::varRange}}",
        "majorDimension": "ROWS",
        "values": [
          ["CustomerID", "CustomerName"]
        ]
      }

4. Click on the OK button to save REST API Task configure setting UI.
5. That’s all, You are ready to Run or Execute Task and verify data into Google spreadsheet.
   

Single Range (Set Values for multiple cells)

1. Follow the previous section(write data to Google Spreadsheet) to update sheet data.
2. In the Request Settings tab,
   1. Enter the URL below. Change Sheet ID, Range designator(including Sheet name) and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}/values/{{User::varRange}}?valueInputOption={{User::varValueInputOption}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc/values/Sheet1!A2:B4?valueInputOption=USER_ENTERED

   2. Change Request Method to PUT.
   3. Enter Request Body as below
      

      {
        "range": "{{User::varRange}}",
        "majorDimension": "ROWS",
        "values": [
          ["Laptop", "$2000.50"],
          ["Mobile", "$1150"]
        ]
      }

3. That’s all, click on the Test Request/Response button and verify data into Google spreadsheet.
   

   Calling Google Sheet API to Update Multiple Cell Values

Clear data to Google SpreadSheet using REST API Task

Clear a sheet of all values while preserving formats

Lets clear a sheet of all values by REST API Task, Before processed we need sheet Id. So let’s get the SheetId by API Call. For more information about click here.

1. Drag and Drop two ZS REST API Tasks on the control flow designer and rename(Get Sheet ID and Clear Google Sheet of all values) it.
2. Double click on the First REST API(Get Sheet ID) Task to configure it.
3. In the Request Settings tab,
   1. Enter the URL below. Change Sheet ID and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc

   2. Change Request Method to GET.
      REST API Task – Get Google Sheet ID
4. Now go to Response Settings Tab, Select Response content Type Json and Write Response Content Filter Expression. Check on Save Response Content. Select Save Mode to Variable and Create a New variable or select it.
   Example of Response Content Filter Expression for the first Sheet : 
   

   $.sheets.[0].properties.sheetId

   

   REST API Task – Save Google Sheet ID into Variable

5. Now, click on the Test Request/Response to check configures are ok.
6. Click on the OK button to save REST API Task configure setting UI.
7. Double click on the second REST API(Clear Google Sheet of all values) Task to configure it.
8. In the Request Settings tab,
   1. Enter the URL below. Change Sheet ID and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}:batchUpdate

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc:batchUpdate

   2. Change Request Method to POST. Enter Request Body as below and change a variable parameter as per your need.
      

      {
        "requests": [
          {
            "updateCells": {
              "range": {
                "sheetId": {{User::varGoogleSheetID}}
              },
              "fields": "userEnteredValue"
            }
          }
        ]
      }

   3. Change Request Content type to application/JSON.
      
      

      REST API Task Configure – Clear sheet of all values

9. Click on the OK button to save REST API Task configure setting UI.
10. That’s all, You are ready to Run or Execute Task and verify data into Google spreadsheet.

Clears range cell values from a spreadsheet

1. Double click on REST API Task to configure it. Then, follow the way just like the previous section configures REST API Task.
2. Here you need to set the value of Variable “varSpreadsheetValues” to “clear” or you can change it directly in URL append to clear and value of variable “varRange” (Change cell range and sheet name) as per your need. For more information about it click here.
   1. Enter the URL below. Change Sheet ID, Range designator(including Sheet name) and API URL Parameters as per your need.
      

      https://sheets.googleapis.com/v4/spreadsheets/{{User::varGoogleSpreadsheetID}}/values/{{User::varRange}}:{{User::varSpreadsheetValues}}?valueInputOption={{User::varValueInputOption}}

      Example URL without variables (some part masked with xxxxxxxx):
      

      https://sheets.googleapis.com/v4/spreadsheets/1tuGO3_-2JlSmyiHwX6xxxxxxxxCHrORJc/values/Sheet1!A2:B4:clear?valueInputOption=USER_ENTERED

3. Change Request Method to POST.
4. Enter Request Body as below
   

   {}

5. Change Request Content type to application/JSON.
6. That’s all, click on the Test Request/Response button and verify data into Google spreadsheet.

Conclusion

Google Drive API and Google Sheets API provide a great way to automate file-related functionality. However, to call Google API  you have to use the SDK / coding approach (e.g. C#, Java, Python, Ruby). Luckily ZappySys SSIS PowerPack provides a great way to integrate any Google API call via simple drag and drop approach without coding. Try out yourself see how long it takes to call virtually any REST API.

References

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

• JSON Generator Transform
• Web API Destination
• REST API Task
• Help File:
  • JSON Generator Transform
  • Web API Destination
  • REST API Task

The post How to write/update Google Sheet in SSIS appeared first on ZappySys Blog.

ZappySys provide high-performance drag and drop connectors for Amazon Redshift Integration. In our previous post we saw how to bulk load SQL data into Redshift using S3 staging technique (COPY command). Now in this post, you will see How to Read / Write Amazon Redshift Data in SSIS Data flow without need for S3 Staging. We will use  ZS Amazon Redshift components (Source / Destination). If you need to Upsert / delete data from Redshift Table then use Upsert Destination (Not discussed in this article).

ZappySys developed many AWS related components but in this article, we will look at 2 Components for Amazon Redshift Integration Scenarios (Read and Write). We will discuss how to use SSIS Amazon Redshift Source and SSIS Amazon Redshift Destination. Amazon Redshift Source connector supports familiar SQL Like query language so any DBA or SQL user can learn it in no time. ZappySys developed a highly sophisticated engine to turn your SQL Query into native Amazon Redshift query. Load query at runtime from the variables or Direct value.

Prerequisite

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

1. First, you will need to have SSIS installed
2. Secondly, make sure to have SSDT
3. Thirdly, You have obtained Amazon Redshift Credential.
4. Finally, do not forget to install ZappySys SSIS PowerPack.

Component Mention in this article

	Amazon Redshift Source
	Amazon Redshift Destination

What is Amazon Redshift

Before we talk How to Read / Write Amazon Redshift Data in SSIS lets talk what is Amazon Redshift (or sometimes referred to as AWS Redshift). Amazon Redshift is a Cloud-based Data warehouse service. This type of system also referred to as MPP (Massively Parallel Processing). Amazon Redshift uses a highly modified version of PostgreSQL Engine behind the scene. Amazon Redshift provides the advantage of Scale as you go, at a very low cost compared to onsite dedicated hardware/software approach. In this article, we will try to learn How to Read / Write Amazon Redshift Data in SSIS.

Getting Started

In order to start, we will show several examples. ZappySys includes an Amazon Redshift Source and Destination, that will help you How to Read / Write Amazon Redshift Data in SSIS. You can connect to your Amazon Redshift Account by entering credentials.

SSIS Amazon Redshift Source Connector can be used to read data from Amazon Redshift. You can use a simple Table mode or write custom SQL Query to extract desired data. You can use multiple modes (i.e. Table or Query) to read data from the Amazon Redshift Database. Support for data preview and max rows and Dynamic query (using SSIS Variable placeholder e.g. select * from mytable where id='{{User:: MyVar}}’).

SSIS Amazon Redshift Destination can be used to bulk insert a large number of records to Amazon Redshift storage from any data source using SSIS. Amazon Redshift is a cloud-based Data Warehouse service from Amazon AWS. Here, you can bulk Insert, Update and Delete Amazon Redshift data and supporting the batch size.

Click here to see Amazon Redshift related articles.

Write Data using Amazon Redshift Destination in SSIS

Overview

In this tutorial, you will learn how to write data in Amazon Redshift Database. You can use ZS DummyData Source for practice it or select suitable ZS Source Adapter (In this case it’s from SQL Server Source). So, Let’s start with an example. In this SSIS we will write data into Amazon Redshift Database using ZS Amazon Redshift Destination.

How to write data into Amazon Redshift Table

1. In order to connect to the Amazon Redshift Database from SSIS, you will need credentials. Ask your SysAdmin or responsible person to provide that you.
2. For this sample exercise, we will create a table in Redshift.
   

   CREATE TABLE public."tbl_pg_Customers"
   (
       "RecordID" character varying(50) NOT NULL,
       "CustomerID" character varying(50),
       "CustomerName" character varying(50),
       "Address1" character varying(50),
       "City" character varying(50),
       "State" character varying(50),
       "Zip" character varying(50),
       "Country" character varying(50),
       PRIMARY KEY ("RecordID")
   );

3. Once you have created a Table, you may proceed to create a new SSIS package. In BIDS/SSDT create a new SSIS package.
4. In your SSIS toolbox, you should see many new Icons starting with “ZS” (i.e. ZappySys). If you don’t see them then check this.
5. Now, Drag and Drop SSIS Data Flow Task from SSIS Toolbox.
   

   Drag and Drop SSIS Data Flow Task from SSIS Toolbox

6. Double click on the Data Flow Task to see Data flow designer surface.
7. Here, In Visual Studio, Drag and Drop the OLE DB Source and Amazon Redshift Destination in the design surface and join the components with the blue arrow.
   

   SSIS OLE DB Source and Amazon Redshift Destination – Drag and Drop

8. Now, we need OLE DB Connection and Amazon Redshift Connection. Click here for Create Amazon Redshift Connection.

How to Create an OLE DB Connection.

1. Let’s, Right-click on Connection Managers Panel to Create OLEDB Connection, so you can use Source and Context Menu will appear, Select New OLEDB Connection from the Context Menu.
   

   SSIS OLE DB Connection – Create Connection

2. Now click on the New button to create a connection.
   

   SSIS OLE DB Connection – Create New Connection

3. Let’s configure connection Manager, just follow the steps one as we have created in following the image.
   

   SSIS OLE DB Connection – Configure Connection

4. After all, Click on OK button to save configure setting UI.

Configure SSIS ZS Amazon Redshift Destination

1. Double click on OLE DB Source for configure it.
2. Let’s Configure in Connection Manager, just follow below image steps.
   

   SSIS OLE DB Source – Configure Source Editors

3. Click OK to save OLE DB Source Editor UI settings.
4. Now double click on Amazon Redshift Destination to configure it. In the [Connection Manager] tab Select Amazon Redshift Connection.
   

   SSIS Amazon Redshift Destination – Connection Manager

5. Click on [Component Properties] tab and Pick the Destination Table from Tables dropdown list.
   

   SSIS Amazon Redshift Destination – Component Properties

6. Click on [Column mappings] tab and verify mapping. If the target table is new Table and it’s empty then all input columns will be automatically mapped as shown below. If the table is an existing table with some data then you can manually pick a mapping column by dragging it from source list to target list.
   

   SSIS Amazon Redshift Destination – Column Mappings

7. Execute the package and verify that the data is saved.
   

   SSIS Amazon Redshift Destination – Run or Execute Package

Read Data using Amazon Redshift Source in SSIS

Overview

In this tutorial, you will learn how to read data from Amazon Redshift in SSIS using ZS Amazon Redshift Source adapter. In this SSIS we will read data with SQL Query and Table Mode. So Let’s begin it.

How to Read data from Amazon Redshift Table

1. You may proceed to create a new SSIS package. In BIDS/SSDT create a new SSIS package.
2. From the SSIS toolbox drag and drop Data Flow Task on the control flow designer surface.
   

   SSIS Data Flow Task – Drag and Drop

3. Double click on the Data Flow Task to see the Data Flow design surface.
4. From the SSIS Toolbox, Drag and Drop Amazon Redshift Source in the data flow designer surface.
   

   SSIS Amazon Redshift Source – Drag and Drop

5. Now, We need Amazon Redshift Connection. Click here for creating Amazon Redshift Connection.

Configure SSIS ZS Amazon Redshift Source – Query Mode

1. Here, we are getting data using Query Mode with dynamic expression value.
2. Let’s Create Variables, In Visual Studio Right Click on Design Panel, Select Variables.
   

   SSIS Create Variables

3. Make sure correct DataType and Value, use the following image.
   

   SSIS Created Variables with Value

4. Double click on Amazon Redshift Source to configure it.
5. Select the connection we have created before, set AccessMode to Query and use the following SQL Query(You can replace table or column name) and insert Variables we have created before.
   

   SELECT  * FROM "public"."tbl_pg_Orders"
   WHERE "CustomerID" like '%R%' AND "OrderAmount" > '{{User::OrderAmount}}' AND
   "{{User::ColumnName}}" = '{{User::Value}}'

   

   SSIS Amazon Redshift Source – Configure with SQL Query Mode

6. Click on Preview button to see Data Preview and OK button to save configure setting UI.
7. Here, you can use any of our suitable ZS Destination Adapter.
8. From the SSIS toolbox drag and drop Trash Destination on the Data Flow designer surface.
   

   SSIS Trash Destination – Drag and Drop

9. Now single click on the Amazon Redshift Source, once you see the blue arrow from the source…connect it to Trash Destination.
10. Double click on Trash Destination to Configure it.
    

    SSIS Trash Destination – Configure

11. Click on OK button to save Trash Destination configure setting UI.
12. That’s all, just Run or Execute the package and verify data.
    

    SSIS Amazon Redshift Source – Run or Execute the Package

Configure SSIS ZS Amazon Redshift Source – Table Mode

1. Double click on Amazon Redshift Source to configure it.
2. Select the connection we have created before. Set Access Mode to Table and Select Table from table Drop down list.
   

   SSIS Amazon Redshift Source – Configure with Table Mode

3. Click on Preview button to see Data Preview and OK button to save Amazon Redshift Source configure setting UI.
4. From the SSIS toolbox, Drag and Drop Trash Destination on the Data flow designer surface.
   

   SSIS Trash Destination – Drag and Drop

5. Now single click on the Amazon Redshift Source, once you see the blue arrow from a source… connect it to Trash Destination.
6. Double click on ZS Trash Destination to configure it.
   

   SSIS Trash Destination – Configure

7. Click on OK button to save Trash Destination configure setting UI.
8. That’s all, just run or execute your package and see data.
   

   SSIS Amazon Redshift Source – Run or Execute Package

Conclusion

In this blog, we learn How to Read / Write Amazon Redshift Data in SSIS. We used Amazon Redshift Destination for write data and Amazon Redshift Source to read data. You can download SSIS PowerPack here to try many other scenarios not discussed in this blog along with 70+ other components.

References

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

• Amazon Redshift Source
• Amazon Redshift Destination
• Document of Amazon Redshift
• Help File:
  • Amazon Redshift Source
  • Amazon Redshift Destination

The post How to Read / Write Amazon Redshift Data in SSIS appeared first on ZappySys Blog.

In this article, we will show how to send values from an SSIS Variable to an HTML file. We will use the SSIS Advanced File System Task to store the list of system files of a folder into a variable and then we will use the SSIS Logging Task to store the variable in an HTML file.

In the second part, we will read values from an HTML table and export the data into SQL Server. We will use the HTML file created in the first example. We will also use the ZS HTML Table Source to read the data from the HTML table and export to SQL Server using the OLEDB Destination.

We will be using this ZappySys SSIS PowerPack component to make things work:

	SSIS Logging Task (Free)
	SSIS HTML Table Source
	Advanced SSIS File System Task

Finally, we will show how to read data from a SQL Server query and store into an HTML file. We will use the Execute SQL Task combined with the ZS SSIS Logging Task.

Requirements

1. First, you will need SSDT installed.
2. Secondly, ZappySys PowerPack for SSIS.
3. Finally, SQL Server installed.

Getting started

How to save the list of system files into SQL an HTML table

In the first example, we will use our ZappySys Advanced File System to copy a list of the system files in a folder. This list of files will be stored in an object variable and then we will save to a file.

1. In the first place, we will use the Advanced File System Task and select the Get file list ADO.net DataTable action. We will list the files of the c:\sql folder and save the results into a variable:
   

   SSIS list files

2. In addition, we will create a variable of type object named listfiles that will store the files information:
   

   SSIS object variable

3. Also, we will use the ZS Logging Tasks and join with the ZS Advanced File. The ZS Logging Task will be used to store the variable into a file:
   

   SSIS save variable to HTML

4. In addition, it is possible to send the variable values into the Execution Log (SSIS output), to a file, to a MessageBox:
   

   SSIS output variable to log, message box and file variable to read and write data to HTML in SSIS

5. In this example, we will show the values into an HTML file named listfiles.html
   

   SSIS save variable iHTMLhtml

6. After executing the package, you will be able to see the HTML with a list of files, names, size, modification and creation information:
   

   ssis list files

How to copy data from an HTML table to SQL Server

The next example will save data from a file named listfiles.html created in the previous example with an HTML table. The example will export the table to SQL Server. However, with our HTML Table Source, you can export to any destination.

1. In order to start, we will Drag and drop a data flow task and double click it:
   

   SSIS data flow

2. Next, in the Data Flow task, use the HTML Table Source and join to the OLEDB Destination:
   

   SSIS HTML table SQL server

3. Also, in URLs enter the path of the HTML file created in the first example:
   

   SSIS HTML table read

4. In addition, go to the OLEDB Source, specify the SQL Server name, database, and log in to it.
   In the name of table or view press new to create a new table:
   

   CREATE TABLE [dbo.listfiles] (
   [_rowNumber] int,
   [_groupName] nvarchar(255),
   [FullPath] nvarchar(255),
   [Name] nvarchar(255),
   [Size] int,
   [AgeInDays] int,
   [LastEditInDays] int,
   [LastModifiedDate] datetime,
   [CreationDate] datetime,
   [LastModifiedDateUtc] datetime,
   [CreationDateUtc] datetime,
   [Extension] nvarchar(255),
   [IsReadOnly] nvarchar(255),
   [FolderPath] nvarchar(255)
   )

   

   SSIS OLEDB create table

5. Also, go to Mappings page to map all the columns.
   

   SSIS map columns

6. Finally, run the package and you will have all the data exported.

How to export SQL Server results to an HTML in SSIS

The following example will show how to export the results of an SQL query into an HTML file.

1. In order to start, we will use the Execute SQL Task. Specify the option Full result set and create an OLEDB connection specifying the Server Name, database name and the select statement to a table:
   

   SSIS SQL query results

2. Secondly, go to the Result Set page and in the Result Name, set 0 and in Variable name, create a new variable:
   

   ssis sql result to variable

3. Also, create a variable of type object:
   

   SSIS object data type

4. Finally, use the ZS Logging Task to save the results in a File. Specify the Log file path and insert the variable:
   

   SSIS save to HTML file

Conclusion about read and write data to HTML in SSIS

To conclude, in this article, we learned how to export a list of files system properties and names to SQL Server. How to read an HTML table to SQL Server and finally how to export SQL Server results to an HTML in SSIS. There are nice tools to read and write data to HTML in SSIS

If you liked the tools, you can download them HERE.

References

• SSIS PowerPack ZappySys
• Integration Services (SSIS) Variables
• Execute SQL Task

The post How to read and write data to HTML in SSIS appeared first on ZappySys Blog.

Most of SSIS PowerPack components support simple text placeholders engine to make things dynamic without using Complex Steps of SSIS Expression Engine. So let’s look at how to make Path / URL or other input values dynamic in SSIS. To show you how to do that we will use JSON Source component, but basically, you can use it in any ZappySys PowerPack component that has URL option, including XML Source.

Create a variable

Don’t forget to set the default value, because it will be used to construct an URL in design time. A call to that URL will be made to figure out the columns.

Make an HTTP address dynamic

Creating a Dynamic Request Body

{
  "name": "{{User::MyVariable}},
  "status": "active"
}

Dynamic Body

That’s How You Make It Dynamic

By combining placeholders and expressions in the URL and body fields, ZappySys lets you build fully dynamic API requests. Whether you’re passing parameters, looping through records, or injecting runtime values—this approach keeps your integration flexible, scalable, and efficient.

The post How to make Path / URL dynamic in SSIS appeared first on ZappySys Blog.