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.

ZappySys provides high-performance drag and drop connectors for PostgreSQL Integration. In this post you will see how to Execute SQL query against PostgreSQL in SSIS, in various SQL commands such as SELECT, INSERT, DROP, COPY, CREATE, etc using PostgreSQL Execute SQL Task can be used to execute DDL and DML statements for PostgreSQL without needing any extra driver. PostgreSQL is a powerful, open-source relational database with a strong reputation for reliability, feature robustness, and performance.

In nutshell, this post will focus on how to Execute SQL query against PostgreSQL in just a few clicks.

Prerequisite

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

Component Mentioned in this article

PostgreSQL Execute SQL Task

What is PostgreSQL?

PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. The origins of PostgreSQL date back to 1986 as part of the POSTGRES project at the University of California at Berkeley and has more than 30 years of active development on the core platform.

PostgreSQL has earned a strong reputation for its proven architecture, reliability, data integrity, robust feature set, extensibility, and the dedication of the open source community behind the software to consistently deliver performant and innovative solutions. PostgreSQL runs on all major operating systems, has been ACID-compliant since 2001, and has powerful add-ons such as the popular PostGIS geospatial database extender. It is no surprise that PostgreSQL has become the open source relational database of choice for many people and organisations.

Getting started with using PostgreSQL has never been easier – pick a project you want to build, and let PostgreSQL safely and robustly store your data.

Download and Install PostgreSQL

Please go to below download link and download the Windows version Binary package and install it and follow the steps from the installer.

https://www.postgresql.org/download/

Download PostgreSQL

Create a PostgreSQL Database

1. To do this, go to Start Menu and search for pgAdmin and we will first open the pgAdmin Panel.
   

   Open pgAdmin from Start Menu

2. It will open the pgAdmin Panel in the system default browser. Select Server and Right-click on Databases to create a database.
   

   PostgreSQL Create Database

3. Now, Enter the Database name and click on Save to create it.
   

   Create a PostgreSQL Database

Getting Started

In order to start, we will show several examples. ZappySys includes an SSIS PostgreSQL ExecuteSQL Task that will help you how to Create and Drop table by Execute SQL query against PostgreSQL in SSIS. ZS PostgreSQL ExecuteSQL Task support execute queries against PostgreSQL without ODBC driver, load query at runtime from variable, file or Direct value, 100% Managed code means its 32bit and 64bit compatible, you can issue COPY, UNLOAD commands very easily, Support for SQL Server 2017, 2016, 2014, 2012, 2008 (32/64 bit) and Click here to see articles related to PostgreSQL.

You can connect to your PostgreSQL database by entering your PostgreSQL credentials.

Execute SQL query against PostgreSQL in SSIS

Let’s start with an example. In this tutorial, we will learn how to Create and Drop table using SQL query against PostgreSQL server using ZS PostgreSQL ExecuteSQL Task.

1. In order to connect to the PostgreSQL Database from SSIS, you will need Credentials. Ask your SysAdmin or responsible person to provide that to you.
2. Once you finished the above steps, Open Visual Studio and Create New SSIS Package Project.
3. In Visual Studio, drag and drop the ZS PostgreSQL ExecuteSql Task in the design surface.
   

   SSIS ZS PostgreSQL ExecuteSQL Task – Drag and Drop

4. We need a PostgreSQL Database connection. Click here to create a connection.
5. Now, double click on ZS PostgreSQL ExecuteSql Task to configure it.
6. In the PostgreSQL ExecuteSql Task, add the following SQL code to DROP a table if it exists and CREATE a table named pg_equipment in the SQL Statement section.
   You can replace the table name from the following code.
   

   DROP TABLE IF EXISTS playground_equip;
   CREATE TABLE pg_equipment (
   	equip_id serial PRIMARY KEY,
   	type varchar (50) NOT NULL,
   	color varchar (25) NOT NULL,
   	location varchar(25) check (location in ('north', 'south', 'west', 'east', 'northeast', 'southeast', 'southwest', 'northwest')),
   	install_date date
   );

   

   SSIS ZS PostgreSQL ExecuteSQL Task – Configure

7. In the above step, you can Select Variable as Sql Source Type.
8. Click OK to save ZS PostgreSQL ExecuteSql Task UI settings.
9. Finally, Right Click on Task and Select Execute Task to run it.

Conclusion

After all, In this blog, we learned Execute SQL query against PostgreSQL in SSIS using ZS PostgreSQL ExecuteSQL Task. 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:

• About PostgreSQL
• PostgreSQL Documentation
• PostgreSQL Query
• Help File: PostgreSQL ExecuteSQL Task

The post Execute SQL query against PostgreSQL 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.