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This article applies to: ✔️ .NET Core 2.1 SDK and later versions

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This tutorial teaches you how to create and package a .NET Core tool. The .NET Core CLI lets you create a console application as a tool, which others can install and run. .NET Core tools are NuGet packages that are installed from the .NET Core CLI. For more information about tools, see .NET Core tools overview.

The tool that you'll create is a console application that takes a message as input and displays the message along with lines of text that create the image of a robot.

This is the first in a series of three tutorials. In this tutorial, you create and package a tool. In the next two tutorials you use the tool as a global tool and use the tool as a local tool.

Prerequisites

• .NET Core SDK 3.1 or a later version.

  This tutorial and the following tutorial for global tools apply to .NET Core SDK 2.1 and later versions because global tools are available starting in that version. But this tutorial assumes you have installed 3.1 or later so that you have the option of continuing on to the local tools tutorial. Local tools are available starting in .NET Core SDK 3.0. The procedures for creating a tool are the same whether you use it as a global tool or as a local tool.

• A text editor or code editor of your choice.

Create a project

1. Open a command prompt and create a folder named repository.

2. Navigate to the repository folder and enter the following command:

   The command creates a new folder named microsoft.botsay under the repository folder.

3. Navigate to the microsoft.botsay folder.

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Add the code

1. Open the Program.cs file with your code editor.

2. Add the following using directive to the top of the file:

3. Replace the Main method with the following code to process the command-line arguments for the application.

   If no arguments are passed, a short help message is displayed. Otherwise, all of the arguments are concatenated into a single string and printed by calling the ShowBot method that you create in the next step.

4. Add a new method named ShowBot that takes a string parameter. The method prints out the message and an image of a robot using lines of text.

5. Save your changes.

Test the application

Run the project and see the output. Try these variations at the command line to see different results:

All arguments after the -- delimiter are passed to your application.

Package the tool

Before you can pack and distribute the application as a tool, you need to modify the project file.

1. Open the microsoft.botsay.csproj file and add three new XML nodes to the end of the <PropertyGroup> node:

   <ToolCommandName> is an optional element that specifies the command that will invoke the tool after it's installed. If this element isn't provided, the command name for the tool is the project file name without the .csproj extension.

   <PackageOutputPath> is an optional element that determines where the NuGet package will be produced. The NuGet package is what the .NET Core CLI uses to install your tool.

   The project file now looks like the following example:

2. Create a NuGet package by running the dotnet pack command:

   The microsoft.botsay.1.0.0.nupkg file is created in the folder identified by the <PackageOutputPath> value from the microsoft.botsay.csproj file, which in this example is the ./nupkg folder.

   When you want to release a tool publicly, you can upload it to https://www.nuget.org. Once the tool is available on NuGet, developers can install the tool by using the dotnet tool install command. For this tutorial you install the package directly from the local nupkg folder, so there's no need to upload the package to NuGet.

Troubleshoot

If you get an error message while following the tutorial, see Troubleshoot .NET Core tool usage issues.

Next steps

In this tutorial, you created a console application and packaged it as a tool. To learn how to use the tool as a global tool, advance to the next tutorial.

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APPLIES TO: SQL Server SSIS Integration Runtime in Azure Data Factory

Waiting for printer to become available mac mojave. In this tutorial, you learn how to use SSIS Designer to create a simple Microsoft SQL Server Integration Services package. The package that you create takes data from a flat file, reformats the data, and then inserts the reformatted data into a fact table. In following lessons, the package is expanded to demonstrate looping, package configurations, logging, and error flow.

When you install the sample data that the tutorial uses, you also install the completed versions of the packages that you create in each lesson of the tutorial. Canoscan 9000f driver for mac mojave. By using the completed packages, you can skip ahead and begin the tutorial at a later lesson if you like. If this tutorial is your first time working with packages or the new development environment, we recommend that you begin with Lesson1.

What is SQL Server Integration Services (SSIS)?

MicrosoftSQL Server Integration Services (SSIS) is a platform for building high-performance data integration solutions, including extraction, transformation, and load (ETL) packages for data warehousing. SSIS includes graphical tools and wizards for building and debugging packages; tasks for performing workflow functions such as FTP operations, executing SQL statements, and sending e-mail messages; data sources and destinations for extracting and loading data; transformations for cleaning, aggregating, merging, and copying data; a management database, SSISDB, for administering package execution and storage; and application programming interfaces (APIs) for programming the Integration Services object model.

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What You Learn

The best way to become acquainted with the new tools, controls, and features available in Microsoft SQL Server Integration Services is to use them. This tutorial walks you through SSIS Designer to create a simple ETL package that includes looping, configurations, error flow logic, and logging.

Prerequisites

This tutorial is intended for users familiar with fundamental database operations, but who have limited exposure to the new features available in SQL Server Integration Services.

To run this tutorial, you have to have the following components installed:

• SQL Server and Integration Services. To install SQL Server and SSIS, see Install Integration Services.

• The AdventureWorksDW2012 sample database. To download the AdventureWorksDW2012 database, download AdventureWorksDW2012.bak from AdventureWorks sample databases and restore the backup.

• The sample data files. The sample data is included with the SSIS lesson packages. To download the sample data and the lesson packages as a Zip file, see SQL Server Integration Services Tutorial Files.

  • Most of the files in the Zip file are read-only to prevent unintended changes. To write output to a file or to change it, you may have to turn off the read-only attribute in the file properties.
  • The sample packages assume that the data files are located in the folder C:Program FilesMicrosoft SQL Server100SamplesIntegration ServicesTutorialCreating a Simple ETL Package. If you unzip the download to another location, you may have to update the file path in multiple places in the sample packages.

Lessons in This Tutorial

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Lesson 1: Create a Project and Basic Package with SSIS
In this lesson, you create a simple ETL package that extracts data from a single flat file, transforms the data using lookup transformations and finally loads the result into a fact table destination.

Lesson 2: Adding Looping with SSIS
In this lesson, you expand the package you created in Lesson 1 to take advantage of new looping features to extract multiple flat files into a single data flow process.

Lesson 3: Add Logging with SSIS
In this lesson, you expand the package you created in Lesson 2 to take advantage of new logging features.

Lesson 4: Add Error Flow Redirection with SSIS
In this lesson, you expand the package you created in lesson 3 to take advantage of new error output configurations.

Lesson 5: Add SSIS Package Configurations for the Package Deployment Model
In this lesson, you expand the package you created in Lesson 4 to take advantage of new package configuration options.

Lesson 6: Using Parameters with the Project Deployment Model in SSIS
In this lesson, you expand the package you created in Lesson 5 to take advantage of using new parameters with the project deployment model.