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Microsoft Ignite lab
During the Microsoft Ignite lab you will be following these instructions on a virtual machine and should open this guide in the virtual machine so that you can copy/paste code. Open a web browser in the virtual machine and type in https://github.com/Microsoft/azuredatastudio/wiki/Microsoft-Ignite-lab
to access this guide
Welcome to Microsoft Ignite! In this session, you will learn to build your own extensions for Azure Data Studio. Azure Data Studio is a data management tool that enables you to work with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux. In addition to providing core functionality like a rich T-SQL editing experience, we also provide an Extension Marketplace where the community can contribute their own Extensions so that anyone can use the extension.
These extensions are generally lighted up through our Dashboard, where users can quickly monitor and troubleshoot their databases.
Users can build their own Insight Widgets as shown in the image above, which are powered by T-SQL queries. This allows a user to see a visualization of the common queries they run day to day.
Over the course of this session, you will:
- Build your first sqlops extension using a Visual Studio Code environment.
- Use an Extension generator to help write an extension
- Create an Insight Widget extension
- Never before seen End-To-End Tutorial to create an extension using Typescript to create a Wizard extension
All prerequisites are already install on machine. As a summary, here is what is pre-installed:
- Azure Data Studio
- Visual Studio Code
- Git
-
Node.JS,
>= 8.9.1, < 9.0.0
- Yarn, follow the installation guide
- Python, at least version 2.7 (version 3 is not supported)
-
Yeoman,
npm install -g yo
-
Generator-sqlops,
npm install -g generator-sqlops
- SQL Server 2017 developer edition
- Visual Studio Code extensions
- SQL Operations Studio debug
- mssql extension
- Debugger for Chrome
- npm packages
- npm install -g vsce
-
Open Azure Data Studio.
-
Click new connection.
-
Select Localhost from Saved Locations and click Connect.
-
Click arrow next to localhost under Servers, then click arrow by databases, then right click AdventureWorks2014 and click New Query
-
Copy and paste this snippet
------------------------------Data file size---------------------------- declare @dbsize table (Dbname nvarchar(128), file_Size_MB decimal(20,2)default (0), Space_Used_MB decimal(20,2)default (0), Free_Space_MB decimal(20,2) default (0)) insert into @dbsize (Dbname,file_Size_MB,Space_Used_MB,Free_Space_MB) exec sp_MSforeachdb 'use [?]; select DB_NAME() AS DbName, sum(size)/128.0 AS File_Size_MB, sum(CAST(FILEPROPERTY(name, ''SpaceUsed'') AS INT))/128.0 as Space_Used_MB, SUM( size)/128.0 - sum(CAST(FILEPROPERTY(name,''SpaceUsed'') AS INT))/128.0 AS Free_Space_MB from sys.database_files where type=0 group by type' -------------------log size-------------------------------------- declare @logsize table (Dbname nvarchar(128), Log_File_Size_MB decimal(20,2)default (0), log_Space_Used_MB decimal(20,2)default (0), log_Free_Space_MB decimal(20,2)default (0)) insert into @logsize (Dbname,Log_File_Size_MB,log_Space_Used_MB,log_Free_Space_MB) exec sp_MSforeachdb 'use [?]; select DB_NAME() AS DbName, sum(size)/128.0 AS Log_File_Size_MB, sum(CAST(FILEPROPERTY(name, ''SpaceUsed'') AS INT))/128.0 as log_Space_Used_MB, SUM( size)/128.0 - sum(CAST(FILEPROPERTY(name,''SpaceUsed'') AS INT))/128.0 AS log_Free_Space_MB from sys.database_files where type=1 group by type' --------------------------------database free size declare @dbfreesize table (name nvarchar(128), database_size varchar(50), Freespace varchar(50)default (0.00)) insert into @dbfreesize (name,database_size,Freespace) exec sp_MSforeachdb 'use [?];SELECT database_name = db_name() ,database_size = ltrim(str((convert(DECIMAL(15, 2), dbsize) + convert(DECIMAL(15, 2), logsize)) * 8192 / 1048576, 15, 2) + ''MB'') ,''unallocated space'' = ltrim(str(( CASE WHEN dbsize >= reservedpages THEN (convert(DECIMAL(15, 2), dbsize) - convert(DECIMAL(15, 2), reservedpages)) * 8192 / 1048576 ELSE 0 END ), 15, 2) + '' MB'') FROM ( SELECT dbsize = sum(convert(BIGINT, CASE WHEN type = 0 THEN size ELSE 0 END)) ,logsize = sum(convert(BIGINT, CASE WHEN type <> 0 THEN size ELSE 0 END)) FROM sys.database_files ) AS files ,( SELECT reservedpages = sum(a.total_pages) ,usedpages = sum(a.used_pages) ,pages = sum(CASE WHEN it.internal_type IN ( 202 ,204 ,211 ,212 ,213 ,214 ,215 ,216 ) THEN 0 WHEN a.type <> 1 THEN a.used_pages WHEN p.index_id < 2 THEN a.data_pages ELSE 0 END) FROM sys.partitions p INNER JOIN sys.allocation_units a ON p.partition_id = a.container_id LEFT JOIN sys.internal_tables it ON p.object_id = it.object_id ) AS partitions' ----------------------------------- select TOP 10 d.Dbname, --(file_size_mb + log_file_size_mb) as DBsize, --d.file_Size_MB, d.Space_Used_MB, --d.Free_Space_MB, --l.Log_File_Size_MB, l.log_Space_Used_MB--, --l.log_Free_Space_MB, --fs.Freespace as DB_Freespace from @dbsize d join @logsize l on d.Dbname=l.Dbname join @dbfreesize fs on d.Dbname=fs.name order by d.Space_Used_MB DESC
-
Click File->Save As and save the sql file with the name sample.sql to Documents.
-
Click Run on top left of query window.
-
Click View as Chart Icon on right of Results window.
-
Set Chart Type as horizontalBar and Data Direction to Vertical
-
Click Create Insight.
-
Edit name as 'DB Space'
-
Select the whole JSON snippet and Copy all of it.
-
Click bottom-left gear icon, then Settings
-
Under User Settings on the right, find the second to last '}'. Add a comma and new line, then copy and paste your insight widget.:
"server.database.widgets": [ { "name": "DB Space", "gridItemConfig": { "sizex": 2, "sizey": 1 }, "widget": { "insights-widget": { "type": { "horizontalBar": { "dataDirection": "vertical", "dataType": "number", "legendPosition": "none", "labelFirstColumn": false, "columnsAsLabels": false } }, "queryFile": "C:\\Users\\LabUser\\Documents\\sample.sql" } } } ]
-
Hit Ctrl+S to save your settings file
-
Right click localhost and click Manage. You should now be able to see the table spaces widget!
-
Open Visual Studio Code from the bottom task bar.
-
If the terminal is not already open, Hit Ctrl+` to open the Integrated Terminal Note: This is not the apostrophe, this is the grave accent below the ESC key.
-
Type
yo sqlops
and hit Enter. This opens the SQL Operations Studio Extension generator. This allows you to quickly get started on building an extension of your choice. -
To start off, use arrow keys and hit enter on New Dashboard Insight.
-
Follow these instructions:
- Add a full dashboard tab? Y
- What's the name of your extension? sample
- What's the identifier of the extension? hit enter
- What's the description of your extension? building a sample extension
- What's your publisher name? MSIgnite
- The publish name must be set, we recommend MSIgnite but you can use any publisher name.
-
You have now created a very simple extension. Now let's edit it.
-
Type
cd sample
into the terminal and hit enter. -
Type
code .
into the terminal and hit enter. This opens a new VS Code window, and shows the folder contents of what is currently in the Sample directory. -
Click sql and open query.sql to see our target insight extension.
-
Select and delete what is currently in query.sql.
-
Paste the following T-SQL:
------------------------------Data file size---------------------------- declare @dbsize table (Dbname nvarchar(128), file_Size_MB decimal(20,2)default (0), Space_Used_MB decimal(20,2)default (0), Free_Space_MB decimal(20,2) default (0)) insert into @dbsize (Dbname,file_Size_MB,Space_Used_MB,Free_Space_MB) exec sp_MSforeachdb 'use [?]; select DB_NAME() AS DbName, sum(size)/128.0 AS File_Size_MB, sum(CAST(FILEPROPERTY(name, ''SpaceUsed'') AS INT))/128.0 as Space_Used_MB, SUM( size)/128.0 - sum(CAST(FILEPROPERTY(name,''SpaceUsed'') AS INT))/128.0 AS Free_Space_MB from sys.database_files where type=0 group by type' -------------------log size-------------------------------------- declare @logsize table (Dbname nvarchar(128), Log_File_Size_MB decimal(20,2)default (0), log_Space_Used_MB decimal(20,2)default (0), log_Free_Space_MB decimal(20,2)default (0)) insert into @logsize (Dbname,Log_File_Size_MB,log_Space_Used_MB,log_Free_Space_MB) exec sp_MSforeachdb 'use [?]; select DB_NAME() AS DbName, sum(size)/128.0 AS Log_File_Size_MB, sum(CAST(FILEPROPERTY(name, ''SpaceUsed'') AS INT))/128.0 as log_Space_Used_MB, SUM( size)/128.0 - sum(CAST(FILEPROPERTY(name,''SpaceUsed'') AS INT))/128.0 AS log_Free_Space_MB from sys.database_files where type=1 group by type' --------------------------------database free size declare @dbfreesize table (name nvarchar(128), database_size varchar(50), Freespace varchar(50)default (0.00)) insert into @dbfreesize (name,database_size,Freespace) exec sp_MSforeachdb 'use [?];SELECT database_name = db_name() ,database_size = ltrim(str((convert(DECIMAL(15, 2), dbsize) + convert(DECIMAL(15, 2), logsize)) * 8192 / 1048576, 15, 2) + ''MB'') ,''unallocated space'' = ltrim(str(( CASE WHEN dbsize >= reservedpages THEN (convert(DECIMAL(15, 2), dbsize) - convert(DECIMAL(15, 2), reservedpages)) * 8192 / 1048576 ELSE 0 END ), 15, 2) + '' MB'') FROM ( SELECT dbsize = sum(convert(BIGINT, CASE WHEN type = 0 THEN size ELSE 0 END)) ,logsize = sum(convert(BIGINT, CASE WHEN type <> 0 THEN size ELSE 0 END)) FROM sys.database_files ) AS files ,( SELECT reservedpages = sum(a.total_pages) ,usedpages = sum(a.used_pages) ,pages = sum(CASE WHEN it.internal_type IN ( 202 ,204 ,211 ,212 ,213 ,214 ,215 ,216 ) THEN 0 WHEN a.type <> 1 THEN a.used_pages WHEN p.index_id < 2 THEN a.data_pages ELSE 0 END) FROM sys.partitions p INNER JOIN sys.allocation_units a ON p.partition_id = a.container_id LEFT JOIN sys.internal_tables it ON p.object_id = it.object_id ) AS partitions' ----------------------------------- select TOP 10 d.Dbname, --(file_size_mb + log_file_size_mb) as DBsize, --d.file_Size_MB, d.Space_Used_MB, --d.Free_Space_MB, --l.Log_File_Size_MB, l.log_Space_Used_MB--, --l.log_Free_Space_MB, --fs.Freespace as DB_Freespace from @dbsize d join @logsize l on d.Dbname=l.Dbname join @dbfreesize fs on d.Dbname=fs.name order by d.Space_Used_MB DESC
-
Open package.json. Under contributes and **dashboard.insights, change bar to horizontalbar and datadirection from horizontal to vertical.
If you are completely lost at this point, replace package.json contents with:
{
"name": "sample",
"displayName": "sample",
"description": "building a sample extension",
"version": "0.0.1",
"publisher": "msignite",
"engines": {
"vscode": "^1.27.0",
"sqlops": "*"
},
"categories": [
"Other"
],
"contributes": {
"dashboard.insights": [
{
"id": "sample.insight",
"contrib": {
"queryFile": "./sql/query.sql",
"type": {
"horizontalBar": {
"dataDirection": "vertical",
"dataType": "number",
"legendPosition": "none",
"labelFirstColumn": false,
"columnsAsLabels": true
}
}
}
}
]
,
"dashboard.tabs": [
{
"id": "sample.tab",
"title": "sample",
"description": "",
"container": {
"widgets-container": [
{
"name": "sample",
"gridItemConfig": {
"sizex": 2,
"sizey": 1
},
"widget": {
"sample.insight": {}
}
}
]
}
}
]
}
}
-
Open README.md and delete the contents inside the readme. Paste the following:
Sample insight widget extension.
-
Click File->Save All.
-
Hit CTRL+` to open the integrated terminal. Type 'vsce package' to package your extension. Type 'Y' and enter when prompted if you would like to continue without the repository field.
-
Use “Ctrl + C” to copy the file location of the vsix package from the terminal.
-
Open Azure Data Studio. Click File, then click Install Extension from VSIX package.
-
Paste directory link of extension and click Install. If you can't find it, try pasting: C:\Users\LabUser\sample\sample-0.0.1
-
Click Yes to third-party extensions on bottom-right, and Reload Now on bottom right.
-
Click on localhost to connect. Then right-click on localhost and click Manage
-
On the line next to Home, click Sample to see your sample extension.
-
Let's try adding multiple insight widgets. Go back to Visual Studio Code and add a new file under sql folder called query2.sql
-
Paste the following query.
Top Active Connections
SELECT count(session_id) as [Active Sessions] FROM sys.dm_exec_sessions WHERE status = 'running'
-
Now, go to package.json file so that we can create a new container for our widget. Find dashboard.insights.
-
Type or paste the following below the existing insight json content:
{ "id": "sample2.insight", "contrib": { "queryFile":"./sql/query2.sql", "type": { "count": { "dataDirection": "vertical", "dataType": "number", "legendPosition": "none", "labelFirstColumn": false } } } }
-
Find widgets-container. Type or paste the following:
{ "name": "sample2", "gridItemConfig": { "sizex": 2, "sizey": 1 }, "widget": { "sample2.insight": {} } }
-
Repeat Steps 13-19 and remember to Save All.
-
Using what you have learned, create two additional insight widgets using the following queries.
DB Buffer Usage (Use horizontalBar and vertical datadirection)
-- source:https://www.mssqltips.com/sqlservertip/2393/determine-sql-server-memory-use-by-database-and-object/ -- Use for a demo/sample purpose only. This query is not built-in to any product. DECLARE @total_buffer INT; SELECT @total_buffer = cntr_value FROM sys.dm_os_performance_counters WHERE RTRIM([object_name]) LIKE '%Buffer Manager' AND counter_name = 'Database Pages'; ;WITH src AS ( SELECT database_id, db_buffer_pages = COUNT_BIG(*) FROM sys.dm_os_buffer_descriptors --WHERE database_id BETWEEN 5 AND 32766 GROUP BY database_id ) SELECT TOP 10 [db_name] = CASE [database_id] WHEN 32767 THEN 'Resource DB' ELSE DB_NAME([database_id]) END, --db_buffer_pages, --db_buffer_MB = db_buffer_pages / 128, db_buffer_percent = CONVERT(DECIMAL(6,3), db_buffer_pages * 100.0 / @total_buffer) FROM src --ORDER BY db_buffer_MB DESC; order by db_buffer_percent DESC;
- Close out of VS Code and Azure Data Studio, then open a new VS Code window
- Hit Ctrl+` to open the Integrated Terminal Note: This is not the apostrophe, this is the grave accent below the ESC key.
- Type
yo sqlops
from the command line and press enter. - To start off, use arrow keys and hit enter on New Extension (Typescript)
Follow these instructions:
- What's the name of your extension? WizardSample
- What's the identifier of the extension? hit enter
- What's the description of your extension? Wizard extension
- What's your publisher name? ignite
- Enable stricter Typescript checking? n
- Setup linting using 'tslint'? Y
- Initialize a git repository? n
- After npm install finishes, switch to the extension directory using
cd WizardSample
- Open the code in VS Code by running
code .
- Open
README.md
in the created extension and delete the contents, then save it. - Open
.vscode/launch.json
in the created extension and replace both lines where it says"runtimeExecutable": "sqlops",
with"runtimeExecutable": "azuredatastudio",
and then save the file - Your extension can already run! Go to the debug tab in VS Code and hit the green play button to open Azure Data Studio with your extension installed. Press
ctrl+shift+p
to open the command palette and type "Hello World" and hit enter to run the default "Hello World" command contributed by your extension.
1. Create a folder under src
called typings
and download the latest API typings file and save it in that folder as sqlops.proposed.d.ts
2. Open package.json
and add the command to open the wizard by replacing the "contributes"
section with the code from Code Sample 1 below:
"contributes": {
"commands": [
{
"command": "extension.scriptObjects",
"title": "Open Script As Wizard"
}
]
},
3. Replace the "activationEvents"
section with the code from Code Sample 2:
"activationEvents": [
"*"
],
This will cause the extension to register a new command that we will use to open the wizard and to start the extension whenever Azure Data Studio starts.
4. Open src/extension.ts
and add code to execute the command you just registered by replacing the activate
extension's code with the code from Code Sample 3 below:
// The command has been defined in the package.json file
// Now provide the implementation of the command with registerCommand
// The commandId parameter must match the command field in package.json
context.subscriptions.push(vscode.commands.registerCommand('extension.scriptObjects', async () => {
let connection = await sqlops.connection.getCurrentConnection();
let wizard = new ScriptWizard(connection);
wizard.open();
}));
5. Create the ScriptWizard
class at the bottom of that file with the code from Code Sample 4. This sample shows a basic use of the wizard framework to open a wizard that has 2 pages but no content yet:
class ScriptWizard {
private objectType: string;
private selectedObjectLabel: string;
private scriptType: string;
private scriptTypeDropdown: sqlops.DropDownComponent | undefined;
private wizard: sqlops.window.modelviewdialog.Wizard;
private page1: sqlops.window.modelviewdialog.WizardPage;
private page2: sqlops.window.modelviewdialog.WizardPage;
private objectMetadataMap = new Map<string, sqlops.ObjectMetadata>();
static scriptOperations = new Map<string, sqlops.ScriptOperation>([
['Select', sqlops.ScriptOperation.Select],
['Create', sqlops.ScriptOperation.Create],
['Insert', sqlops.ScriptOperation.Insert],
['Update', sqlops.ScriptOperation.Update],
['Delete', sqlops.ScriptOperation.Delete],
['Execute', sqlops.ScriptOperation.Execute],
['Alter', sqlops.ScriptOperation.Alter]
]);
static scriptOperationsByType = new Map<string, string[]>([
['Table', ['Create', 'Delete']],
['View', ['Create', 'Select', 'Alter', 'Delete']],
['StoredProcedure', ['Create', 'Execute', 'Alter', 'Delete']]
]);
constructor(private connection: sqlops.connection.Connection) {
this.objectType = '';
this.selectedObjectLabel = '';
this.scriptType = '';
this.scriptTypeDropdown = undefined;
this.page1 = this.setupPage1();
this.page2 = this.setupPage2();
this.wizard = this.setupWizard();
}
public open(): void {
this.wizard.open();
}
private setupPage1(): sqlops.window.modelviewdialog.WizardPage {
let page1 = sqlops.window.modelviewdialog.createWizardPage('Select object');
page1.registerContent(view => Promise.resolve());
return page1;
}
private setupPage2(): sqlops.window.modelviewdialog.WizardPage {
let page2 = sqlops.window.modelviewdialog.createWizardPage('Details');
page2.registerContent(view => Promise.resolve());
return page2;
}
private setupWizard(): sqlops.window.modelviewdialog.Wizard {
this.wizard = sqlops.window.modelviewdialog.createWizard('Script Wizard');
this.wizard.pages = [this.page1, this.page2];
this.wizard.generateScriptButton.hidden = true;
return this.wizard;
}
}
6. Save the file, then go to the debug pane in VS Code and click the green play button. Azure Data Studio should open.
Once Azure Data Studio opens, connect to localhost by clicking on it in Object Explorer.
Then press ctrl+shift+p
to open the command palette, then start typing "Open Script As Wizard" and press enter once that option is displayed to open the wizard. Note that you have to connect in Object Explorer before opening the wizard so that the wizard has a server to use for scripting. You now have an extension that opens a 2-page wizard with no content!
7. Go back to Visual Studio Code. Add content to page 1 of the wizard by replacing the setupPage1
function with the one from Code Sample 5 below, which uses the model view framework to add an object type dropdown and an object choice listbox.
private setupPage1(): sqlops.window.modelviewdialog.WizardPage {
let page1 = sqlops.window.modelviewdialog.createWizardPage('Select object');
page1.registerContent(async view => {
let typeSelection = view.modelBuilder.dropDown().withValidation(component => component.value !== '').component();
let objectDropdown = view.modelBuilder.listBox().component();
typeSelection.values = ['', 'Table', 'View', 'StoredProcedure'];
typeSelection.onValueChanged(value => {
this.objectType = value.selected;
this.fillInObjectChoices(objectDropdown);
});
objectDropdown.onRowSelected(() => {
this.selectedObjectLabel = objectDropdown.values[objectDropdown.selectedRow || 0];
});
let flexView = view.modelBuilder.formContainer().withFormItems([
{
component: typeSelection,
title: 'Type'
},
{
component: objectDropdown,
title: 'Object to script'
}
]).component();
return view.initializeModel(flexView);
});
return page1;
}
8. Add the fillInObjectChoices
function referenced in setupPage1
to the ScriptWizard
class using the code from Code Sample 6.
private async fillInObjectChoices(objectDropdown: sqlops.ListBoxComponent): Promise<void> {
this.objectMetadataMap.clear();
let metadataProvider = sqlops.dataprotocol.getProvider<sqlops.MetadataProvider>(this.connection.providerName, sqlops.DataProviderType.MetadataProvider);
let objectMetadata = (await metadataProvider.getMetadata(await sqlops.connection.getUriForConnection(this.connection.connectionId))).objectMetadata;
let matchingObjects: string[] = [];
objectMetadata.forEach(metadata => {
if (metadata.metadataTypeName === this.objectType) {
let objectLabel = (metadata.schema ? `${metadata.schema}.` : '') + metadata.name;
matchingObjects.push(objectLabel);
this.objectMetadataMap.set(objectLabel, metadata);
}
});
objectDropdown.values = matchingObjects;
if (this.scriptTypeDropdown && this.objectType) {
this.scriptTypeDropdown.values = ScriptWizard.scriptOperationsByType.get(this.objectType) as string[];
}
}
This code uses the data protocol API to list scriptable objects by type. After this step you can save and rerun the extension like before in Step 6 and when you open the wizard you should see that it has the dropdown and list box that you added and that it lists the available objects when you choose a type.
9. Add content to page 2 of the wizard by replacing the setupPage2
function with the one from Code Sample 7 below, which uses the model view framework to add a dropdown box to select the script type. Again you can debug the extension after this step and see that both pages now have content.
private setupPage2(): sqlops.window.modelviewdialog.WizardPage {
let page2 = sqlops.window.modelviewdialog.createWizardPage('Details');
page2.registerContent(async view => {
let scriptTypeDropdown = view.modelBuilder.dropDown().component();
scriptTypeDropdown.values = [];
ScriptWizard.scriptOperations.forEach((_, key) => {
(scriptTypeDropdown.values as string[]).push(key);
});
scriptTypeDropdown.onValueChanged(value => this.scriptType = value.selected);
let formContainer = view.modelBuilder.formContainer().withFormItems([
{
component: scriptTypeDropdown,
title: 'Operation'
}
]).component();
this.scriptTypeDropdown = scriptTypeDropdown;
return view.initializeModel(formContainer);
});
return page2;
}
10. Update the setupWizard
function to add a callback when the "Done" button is pressed that uses the data protocol API to generate the requested script by replacing the setupWizard
function with the one from Code Sample 8:
private setupWizard(): sqlops.window.modelviewdialog.Wizard {
this.wizard = sqlops.window.modelviewdialog.createWizard('Script Wizard');
this.wizard.pages = [this.page1, this.page2];
this.wizard.generateScriptButton.hidden = true;
this.wizard.doneButton.onClick(async () => {
let scriptingProvider = sqlops.dataprotocol.getProvider<sqlops.ScriptingProvider>(this.connection.providerName, sqlops.DataProviderType.ScriptingProvider);
let chosenObject = this.objectMetadataMap.get(this.selectedObjectLabel);
if (chosenObject && this.objectType) {
let result = await scriptingProvider.scriptAsOperation(await sqlops.connection.getUriForConnection(this.connection.connectionId), ScriptWizard.scriptOperations.get(this.scriptType) as sqlops.ScriptOperation, chosenObject, {
filePath: '',
scriptCompatibilityOption: 'Script140Compat',
targetDatabaseEngineEdition: 'SqlServerStandardEdition',
targetDatabaseEngineType: 'SingleInstance'
});
if (result.script) {
let document = await vscode.workspace.openTextDocument({
language: 'sql',
content: result.script
});
vscode.window.showTextDocument(document);
}
}
});
return this.wizard;
}
If you have written a VS Code extension before you will notice that this code uses some VS Code APIs to open the generated script. Azure Data Studio exposes most existing VS Code APIs for extension authors to use.
At this point you should have a working wizard that scripts the selected object. To try it out save the extension.ts
file and run the extension like before. Connect to the saved server in Object Explorer and press ctrl+shift+p
to open the command palette, then type "Open Script As Wizard" and hit enter to open the wizard. You can interact with the wizard and it will create the requested script when you go through both pages and click "Done".
To package your extension as an installable .vsix
file, you can run vsce package
from the command line in Visual Studio Code.
Thank you for attending this Microsoft Ignite session. Now that you have learned to build your own Azure Data Studio extensions, we encourage you to continue to build extensions and contribute to our Extensions Marketplace.
If you want to extend the code you created here it is available in its own GitHub repository at https://github.com/MattIrv/AzureDataStudioScriptAsDemo
To learn to build your own extensions:
- Get the prerequisites
- Follow along on our Github Wiki Get Started
- Read these blog posts:
Want to learn more about Azure Data Studio?
- Leave a star on our Github
- Download Azure Data Studio
- Report Issues or suggest Feature Requests on our Github Issues page
- Follow us on Twitter @azuredatastudio
Documentation
- Get Started
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- FAQ
Contributing
- How to Contribute
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Tool Services
Extensibility Reference
- Getting Started
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- Microsoft Ignite lab
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Project Management