- Download the latest version of Liquid for Mac for free. Integrated shortcuts for common daily tasks (was Liquid Flow). (in 2014), should be able to be invoked.
- SQL Server Management Studio (SSMS) is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. SSMS provides tools to configure, monitor, and administer instances of SQL Server and databases. Use SSMS to deploy, monitor, and upgrade the data-tier components used by your applications, and build.
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The following is a step-by-step guide for setting up your developer environment and getting you started using Python for scripting and automating file system operations on Windows.
Note
This article will cover setting up your environment to use some of the helpful libraries in Python that can automate tasks across platforms, like searching your file system, accessing the internet, parsing file types, etc., from a Windows-centered approach. For Windows-specific operations, check out ctypes, a C-compatible foreign function library for Python, winreg, functions exposing the Windows registry API to Python, and Python/WinRT, enabling access Windows Runtime APIs from Python.
Set up your development environment
When using Python to write scripts that perform file system operations, we recommend you install Python from the Microsoft Store. Installing via the Microsoft Store uses the basic Python3 interpreter, but handles set up of your PATH settings for the current user (avoiding the need for admin access), in addition to providing automatic updates.
If you are using Python for web development on Windows, we recommend a different setup using the Windows Subsystem for Linux. Find a walkthrough in our guide: Get started using Python for web development on Windows. If you're brand new to Python, try our guide: Get started using Python on Windows for beginners. For some advanced scenarios (like needing to access/modify Python's installed files, make copies of binaries, or use Python DLLs directly), you may want to consider downloading a specific Python release directly from python.org or consider installing an alternative, such as Anaconda, Jython, PyPy, WinPython, IronPython, etc. We only recommend this if you are a more advanced Python programmer with a specific reason for choosing an alternative implementation.
Install Python
To install Python using the Microsoft Store:
- Go to your Start menu (lower left Windows icon), type 'Microsoft Store', select the link to open the store.
- Once the store is open, select Search from the upper-right menu and enter 'Python'. Select which version of Python you would like to use from the results under Apps. We recommend using the most recent unless you have a reason not to (such as aligning with the version used on a pre-existing project that you plan to work on). Once you've determined which version you would like to install, select Get.
- Once Python has completed the downloading and installation process, open Windows PowerShell using the Start menu (lower left Windows icon). Once PowerShell is open, enter
Python --version
to confirm that Python3 has been installed on your machine. - The Microsoft Store installation of Python includes pip, the standard package manager. Pip allows you to install and manage additional packages that are not part of the Python standard library. To confirm that you also have pip available to install and manage packages, enter
pip --version
.
Install Visual Studio Code
By using VS Code as your text editor / integrated development environment (IDE), you can take advantage of IntelliSense (a code completion aid), Linting (helps avoid making errors in your code), Debug support (helps you find errors in your code after you run it), Code snippets (templates for small reusable code blocks), and Unit testing (testing your code's interface with different types of input).
Download VS Code for Windows and follow the installation instructions: https://code.visualstudio.com.
Install the Microsoft Python extension
You will need to install the Microsoft Python extension in order to take advantage of the VS Code support features. Learn more.
- Open the VS Code Extensions window by entering Ctrl+Shift+X (or use the menu to navigate to View > Extensions).
- In the top Search Extensions in Marketplace box, enter: Python.
- Find the Python (ms-python.python) by Microsoft extension and select the green Install button.
Open the integrated PowerShell terminal in VS Code
VS Code contains a built-in terminal that enables you to open a Python command line with PowerShell, establishing a seamless workflow between your code editor and command line.
- Open the terminal in VS Code, select View > Terminal, or alternatively use the shortcut Ctrl+` (using the backtick character).Itch io tools. NoteThe default terminal should be PowerShell, but if you need to change it, use Ctrl+Shift+P to enter the command pallette. Enter Terminal: Select Default Shell and a list of terminal options will display containing PowerShell, Command Prompt, WSL, etc. Select the one you'd like to use and enter Ctrl+Shift+` (using the backtick) to create a new terminal.
- Inside your VS Code terminal, open Python by entering:
python
- Try the Python interpreter out by entering:
print('Hello World')
. Python will return your statement 'Hello World'. - To exit Python, you can enter
exit()
,quit()
, or select Ctrl-Z.
Install Git (optional)
If you plan to collaborate with others on your Python code, or host your project on an open-source site (like GitHub), VS Code supports version control with Git. The Source Control tab in VS Code tracks all of your changes and has common Git commands (add, commit, push, pull) built right into the UI. You first need to install Git to power the Source Control panel.
- Download and install Git for Windows from the git-scm website.
- An Install Wizard is included that will ask you a series of questions about settings for your Git installation. We recommend using all of the default settings, unless you have a specific reason for changing something.
- If you've never worked with Git before, GitHub Guides can help you get started.
Example script to display the structure of your file system directory
Common system administration tasks can take a huge amount of time, but with a Python script, you can automate these tasks so that they take no time at all. For example, Python can read the contents of your computer's file system and perform operations like printing an outline of your files and directories, moving folders from one directory to another, or renaming hundreds of files. Normally, tasks like these could take up a ton of time if you were to perform them manually. Use a Python script instead!
Let's begin with a simple script that walks a directory tree and displays the directory structure.
- Open PowerShell using the Start menu (lower left Windows icon).
- Create a directory for your project:
mkdir python-scripts
, then open that directory:cd python-scripts
. - Create a few directories to use with our example script:
- Create a few files within those directories to use with our script:
- Create a new python file in your python-scripts directory:
- Open your project in VS Code by entering:
code .
- Open the VS Code File Explorer window by entering Ctrl+Shift+E (or use the menu to navigate to View > Explorer) and select the list-directory-contents.py file that you just created. The Microsoft Python extension will automatically load a Python interpreter. You can see which interpreter was loaded on the bottom of your VS Code window.NotePython is an interpreted language, meaning that it acts as a virtual machine, emulating a physical computer. There are different types of Python interpreters that you can use: Python 2, Python 3, Anaconda, PyPy, etc. In order to run Python code and get Python IntelliSense, you must tell VS Code which interpreter to use. We recommend sticking with the interpreter that VS Code chooses by default (Python 3 in our case) unless you have a specific reason for choosing something different. To change the Python interpreter, select the interpreter currently displayed in blue bar on the bottom of your VS Code window or open the Command Palette (Ctrl+Shift+P) and enter the command Python: Select Interpreter. This will display a list of the Python interpreters that you currently have installed. Learn more about configuring Python environments.
- Paste the following code into your list-directory-contents.py file and then select save:
- Open the VS Code integrated terminal (Ctrl+`, using the backtick character) and enter the src directory where you just saved your Python script:
- Run the script in PowerShell with:You should see output that looks like this:
- Use Python to print that file system directory output to it's own text file by entering this command directly in your PowerShell terminal:
python3 list-directory-contents.py > food-directory.txt
Congratulations! You've just written an automated systems administration script that reads the directory and files you created and uses Python to display, and then print, the directory structure to it's own text file.
![Daily Daily](https://www.macbed.com/wp-content/uploads/2017/12/48921.png)
Note
If you're unable to install Python 3 from the Microsoft Store, see this issue for an example of how to handle the pathing for this sample script.
Example script to modify all files in a directory
This example uses the files and directories you just created, renaming each of the files by adding the file's last modified date to the beginning of the filename.
- Inside the src folder in your python-scripts directory, create a new Python file for your script:
- Open the update-filenames.py file, paste the following code into the file, and save it:Noteos.getmtime returns a timestamp in ticks, which is not easily readable. It must be converted to a standard datetime string first.
- Test your update-filenames.py script by running it:
python3 update-filenames.py
and then running your list-directory-contents.py script again:python3 list-directory-contents.py
- You should see output that looks like this:
- Use Python to print the new file system directory names with the last-modified timestamp prepended to it's own text file by entering this command directly in your PowerShell terminal:
python3 list-directory-contents.py > food-directory-last-modified.txt
Hope you learned a few fun things about using Python scripts for automating basic systems administration tasks. There is, of course, a ton more to know, but we hope this got you started on the right foot. We've shared a few additional resources to continue learning below.
Additional resources
- Python Docs: File and Directory Access: Python documentation about working with file systems and using modules for reading the properties of files, manipulating paths in a portable way, and creating temporary files.
- Learn Python: String_Formatting tutorial: More about using the '%' operator for string formatting.
- 10 Python File System Methods You Should Know: Medium article about manipulating files and folders With
os
andshutil
. - The Hitchhikers Guide to Python: Systems Administration: An 'opinionated guide' that offers overviews and best practices on topics related to Python. This section covers System Admin tools and frameworks. This guide is hosted on GitHub so you can file issues and make contributions.
Applies to: SQL Server (all supported versions) Azure SQL Database Azure SQL Managed Instance Azure Synapse Analytics
SQL Server Management Studio (SSMS) is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. SSMS provides tools to configure, monitor, and administer instances of SQL Server and databases. Use SSMS to deploy, monitor, and upgrade thes new
For details and more information about what's new in this release, see Release notes for SQL Server Management Studio.
Previous versions
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This article is for the latest version of SSMS only. To download previous versions of SSMS, visit Previous SSMS releases.
Note
In December 2021, releases of SSMS prior to 18.6 will no longer authenticate to Database Engines through Azure Active Directory with MFA.To continue utilizing Azure Active Directory authentication with MFA, you need SSMS 18.6 or later.
Connectivity to Azure Analysis Services through Azure Active Directory with MFA requires SSMS 18.5.1 or later.
Unattended install
You can also install SSMS using a command prompt script.
If you want to install SSMS in the background with no GUI prompts, then follow the steps below.
- Launch the command prompt with elevated permissions.
- Type the command below in the command prompt.Example:You can also pass /Passive instead of /Quiet to see the setup UI.
- If all goes well, you can see SSMS installed at %systemdrive%SSMStoCommon7IDESsms.exe' based on the example. If something went wrong, you could inspect the error code returned and take a peek at the %TEMP%SSMSSetup for the log file.
Installation with Azure Data Studio
- Starting with SSMS 18.7, SSMS installs a system version of Azure Data Studio by default. If an equal or greater system version of Azure Data Studio stable or insiders is already present on the workstation compared to the included version of Azure Data Studio, the installation of Azure Data Studio by SSMS is skipped. The Azure Data Studio version can be found in the release notes.
- The Azure Data Studio system installer requires the same security rights as the SSMS installer.
- The Azure Data Studio installation is completed with the default Azure Data Studio installation options. These are to create a Start Menu folder and add Azure Data Studio to PATH. A desktop shortcut is not created and Azure Data Studio is not registered as a default editor for any file types.
- Localization of Azure Data Studio is accomplished through Language Pack extensions. To localize Azure Data Studio, download the corresponding language pack from the extension marketplace.
- At this time, the installation of Azure Data Studio can be skipped by launching the SSMS installer with the command line flag
DoNotInstallAzureDataStudio=1
.
Uninstall
There are shared components that remain installed after you uninstall SSMS.
The shared components that remain installed are:
- Azure Data Studio
- Microsoft .NET Framework 4.7.2
- Microsoft OLE DB Driver for SQL Server
- Microsoft ODBC Driver 17 for SQL Server
- Microsoft Visual C++ 2013 Redistributable (x86)
- Microsoft Visual C++ 2017 Redistributable (x86)
- Microsoft Visual C++ 2017 Redistributable (x64)
- Microsoft Visual Studio Tools for Applications 2017
These components aren't uninstalled because they can be shared with other products. If uninstalled, you may run the risk of disabling other products.
Supported SQL offerings
- This version of SSMS works with all supported versions of SQL Server 2008 - SQL Server 2019 (15.x) and provides the greatest level of support for working with the latest cloud features in Azure SQL Database and Azure Synapse Analytics.
- Additionally, SSMS 18.x can be installed side by side with SSMS 17.x, SSMS 16.x, or SQL Server 2014 SSMS and earlier.
- SQL Server Integration Services (SSIS) - SSMS version 17.x or later doesn't support connecting to the legacy SQL Server Integration Services service. To connect to an earlier version of the legacy Integration Services, use the version of SSMS aligned with the version of SQL Server. For example, use SSMS 16.x to connect to the legacy SQL Server 2016 Integration Services service. SSMS 17.x and SSMS 16.x can be installed side by side on the same computer. Since the release of SQL Server 2012, the SSIS Catalog database, SSISDB, is the recommended way to store, manage, run, and monitor Integration Services packages. For details, see SSIS Catalog.
SSMS System Requirements
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The current release of SSMS supports the following 64-bit platforms when used with the latest available service pack:
Supported Operating Systems:
- Windows Server 2022 (64-bit)
- Windows 11 (64-bit)
- Windows 10 (64-bit) version 1607 (10.0.14393) or later
- Windows 8.1 (64-bit)
- Windows Server 2019 (64-bit)
- Windows Server 2016 (64-bit)
- Windows Server 2012 R2 (64-bit)
- Windows Server 2012 (64-bit)
- Windows Server 2008 R2 (64-bit)
Supported hardware:
- 1.8 GHz or faster x86 (Intel, AMD) processor. Dual-core or better recommended
- 2 GB of RAM; 4 GB of RAM recommended (2.5 GB minimum if running on a virtual machine)
- Hard disk space: Minimum of 2 GB up to 10 GB of available space
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Note
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SSMS is available only as a 32-bit application for Windows. If you need a tool that runs on operating systems other than Windows, we recommend Azure Data Studio. Azure Data Studio is a cross-platform tool that runs on macOS, Linux, as well as Windows. For details, see Azure Data Studio.
Get help for SQL tools
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Next steps
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Contribute to SQL documentation
Did you know that you can edit SQL content yourself? If you do so, not only do you help improve our documentation, but you also get credited as a contributor to the page.
For more information, see How to contribute to SQL Server documentation