Updateopenbve Data Publishing Studio
After changing the files in a SQL Server Data project, it’s time to deploy the changes to a live SQL Server instance. SQL Server Data Tools provides the publish tool which send the changes to a connected database server. This is the ideal choice for deploying to a server that you have access to can connect to from the developer computer. To configure Visual Studio for FTPS publishing, follow these steps: In Visual Studio, on the Build menu, click Publish projectname, where projectname represents the name of the project. On the Publish page, click the icon labeled IIS, FTP, etc. In the Publish dialog box, click the Connection tab if it is not already selected.
- Updateopenbve Data Publishing Studio App
- Updateopenbve Data Publishing Studio Tutorial
- Updateopenbve Data Publishing Studio Design
- Updateopenbve Data Publishing Studio Software
Enter your Cluster URL, AppID, AppKey and TenantID in the Service connection appropriate Fields (Authentication Token Field should be left empty)
We are excited to introduce an explicit Publish action for app authors so they can control when apps are made available to users. This will enable authors to incrementally update the app, and test them inside Studio without publishing any intermediate versions to end users. Users will see the app updates only after app authors have saved and published their changes. Project- Properties- Publish- Application Files. Here set the values for your.mdf and the xxlog.ldf as follows: Now still in the Publish tab go on Prerequisites. Here you have to check the following depending on what database you are using. This will download SQL Server Express for the client who is installing your application.
To create a new service connection go to project settings page (the gear icon in the lower lefthand side)
*** if you have service endpoints created before version 1.7.1 you might need to recreate them for the server gate task to work properly ***
Add your endpoint information (Cluster and Database) to Endpoint URLs (optional: use values from build variables)
Add your AppID, AppKey and TenantID (Use Variable Group or Secret Build Variable)the Resource URI is the service endpoint providing the jwt token requested for accesing your clustershould be the base URL for your cluster,
Or you can Use an Azure Data Explorer Service Endpoint
Check the 'Use Service Endpoint' Checkbox to select an existing Azure Data Explorer service connection
if you don't already have a Service connection configured, click the 'Manage' link to create a new service connection
Add the match pattern for your *.csl files from the Source Control (for running multiple commands in the same task)
Updateopenbve Data Publishing Studio App
***the single line option allows having multiple files, with one command per file ***
Alternatively: switch to an inline script and write your command directly in the task (no empty lines - one command per task)
OR: Add you file directly from a git repository path
In case the command is a long running asynchronous operations you can check 'Wait for long Async Admin commands to complete'
checkbox to have the task run '.show operations ' in the REST response, and the task will wait for the command to complete pass or fail based on the result (Task will fail if any command in the script is not async - Use only on async commands)
Optional: Add the name of the output variable (Or Path to output file) you want to command response to be stored in (and use it in downstream tasks)if you run multiple commands only last query is saved, when 'Save only last response is unchecked multiple variables will be created (one foreach command and endpoint - with ' prefix' for filenames or ' suffix' for variables)'
Yaml Sample Usage
Add your endpoint information (Cluster and Database) to Endpoint URLs (optional: use values from build variables)
Add your AppID, AppKey and TenantID (Use Variable Group or Secret Build Variable)the Resource URI is the service endpoint providing the jwt token requested for accesing your clustershould be the base URL for your cluster,
Or you can Use an Azure Data Explorer Service Endpoint
Check the 'Use Service Endpoint' Checkbox to select an existing Azure Data Explorer service connection
if you don't already have a Service connection configured, click the 'Manage' link to create a new service connection
Add the match pattern for your *.csl files from the Source Control (for running multiple commands in the same task)
***the single line option allows having multiple files, with one command per file ***
Alternatively: switch to an inline script and write your command directly in the task (no empty lines - one command per task)
OR: Add you file directly from a git repository path
Query Exit Criteria: you can choose to fail the task based on the response record (rows) count
Updateopenbve Data Publishing Studio Tutorial

or based on the response (single) value (make sure the query only returns a single record (row and field))
Optional: Add the name of the output variable (Or Path to output file) you want to command response to be stored in (and use it in downstream tasks)if you run multiple commands only last query is saved, when 'Save only last response is unchecked multiple variables will be created (one foreach command and endpoint - with ' prefix' for filenames or ' suffix' for variables)'
Once we go to Release Definition, by accessing pre/post approval setting we can enable Gates and add Azure Data Explorer Query as a Gate
We can query ADX using Inline query
Updateopenbve Data Publishing Studio Design
We can query ADX using File path
How to add an endpoint to be used by Azure Data Explorer Query Gate or Task
How to add Query Kusto as a Task
Input parameters
Service endpoint: Select an ADX endpoint that should be used to connect to Kusto, to execute the query. Check section How to add an endpoint to be used by ADX Query Gate or Task to add an ADX endpoint.
Database name: ADX database name to run the query. example: vso or vsodev.
Type: Query can be taken from a repository file path or inline.
Parameters for Inline query
- Inline query: You can write your Kusto query. More info on Kusto query language.
Parameters for File path
Repository name: Repository name in which query file exists.
Branch name: Branch name in which query file exists. example, master.
Query file full path: Query (csl) file full path in the given branch. example, /MyKustoQueries/KustoQuery.csl.
Maximum threshold: The maximum number of rows from the query result.
Minimum threshold: The minimum number of rows from the query result.
How to adjust threshold
Max and min threshold are output rows expected from the Kusto query
Yaml Sample Usage
Run the task in a CI pipeline and see the JSON results in the log,
or, alternatively, get it in downstream tasks with the Output Variable $(OutputVariable)
You can save it to file or parse it with JSON parsing tool
Contributions
This extension is maintained by Kusto Ops Team Publisher Page
Microsoft docs
Updateopenbve Data Publishing Studio Software
Github
Developer Private Fork
Official Azure Pipeline tasks