I want to pass the PowerShell variable values via azure pipeline variables. Below script is to remove old images from azure container registry. I don't want to pass the values directly as I mentioned in code, those values I need to pass via pipeline variables.
I have tried something like this as shown in image highlighted in yellow color. I'm getting error.
Azure pipeline task like AZ CLI as shown in below
I'm Getting error like as shown in below
Anyone can help me out this. Thanks in advance....
You must define the variables outside of your scriptblock, below it is a section called Environment Variables, you can store them there like so:
Then you can call them up in the scriptblock as environment variable: $env:LocalDbDataSource
Also, did you mean to put the $ signs in the Pipeline variables table?
As far as I'm aware they are not needed, you should just put the name of your variable.
Another good tip would be to put your variables in a variable group, that way you can centralize where you store the variables. You can add them in the Library section of the pipelines tab
Earlier I have passed same variable name in both cases like PowerShell variable name and Pipeline variables, post changing the name in azure pipeline variables it's working as excepted.
Related
I would like to export all the handy data held on the databricks workflows tab shown here
as a csv or anything really so I can use the data elsewhere. How do I go about that? NB I've tried just copy and pasting it as a last resort but it doesn't even do that well (one column of rubbish) so if can be done programmatically that would be great. Many thanks
There are few ways of achieving it:
One way is to use List jobs command of Jobs REST API as it mentioned by Ganesh - you can use whatever language you want to implement it, but you need to handle output correctly as there could be multiple pages of data.
Another way is to use jobs command of databricks-cli. The jobs list command has command-line parameter --all to get all defined jobs at once, and it also allows to get output as JSON, so you can use tool like jq to format it as you want (you must use --version 2.1 flag because this command requires API 2.1):
databricks jobs list --all --output JSON --version 2.1
P.S. If you need more detailed information, pass --expand-tasks parameter - it will output information about tasks inside jobs
I have core project - stream1
https://gitlab.services.com/groups/stream1/-/settings/ci_cd
in stream1 exist other projects for example mvp1.
In mvp1 I add some vars special for mvp1
I hope on view
https://gitlab.services.com/groups/stream1/mvp1/-/settings/ci_cd
special vars for mvp1 and vars from core project - stream1.
Why is it not so?
If I understand correctly your question - you are asking why group variables are not visible within the project?
If that is the case just look a little bit lower in you variables settings page. Group variables are visible bellow the project variables in the same page.
I am trying to define environment variables for a project in GitLab to customise the Auto Dev Ops pipeline to disable the code quality jobs in all environments. When I try to define the variable, it asks me for a key and a value (As shown below). . Based on the table of disabled jobs variables (https://docs.gitlab.com/ee/topics/autodevops/customize.html#disable-jobs) I chose CODE_QUALITY_DISABLED and set the value to true but when I try to commit a new change to test the pipeline it still runs the quality check. I wonder What am I doing wrong here.
Without more information on what your CI file looks like (or if you have one at all), then it may be difficult to answer, but there are a few possibilities.
If you have a CI file and you've set the variable to be false, that will override what's in the project settings.
You're using a version older than 11.0 (unlikely but possible).
You're committing changes to an unprotected branch.
For the last one, if you want the code quality to be disabled for all pipelines, then you want to make sure the "Protect variable" option is unchecked (whereas your screenshot shows it as checked), because a protected variable will only apply to protected branches and tags.
I could not find a way yet of setting the runs name after the first start_run for that run (we can pass a name there).
I Know we can use tags but that is not the same thing. I would like to add a run relevant name, but very often we know the name only after run evaluation or while we're running the run interactively in notebook for example.
It is possible to edit run names from the MLflow UI. First, click into the run whose name you'd like to edit.
Then, edit the run name by clicking the dropdown next the run name (i.e. the downward-pointing caret in this image):
There's currently no stable public API for setting run names - however, you can programmatically set/edit run names by setting the tag with key mlflow.runName, which is what the UI (currently) does under the hood.
If you are using the latest version of mlflow as of now (1.26.0), the rename functionality UI has changed a bit to look like the below image where you can change the run name by using the 3 dots in the extreme right side.
use the system tag directly:
mlflow.set_tag("mlflow.runName", "run_name")
https://github.com/mlflow/mlflow/issues/2804#issuecomment-640056129
I am trying to do automatic package execution with a WMI Event Watcher Task within SSIS. The functionality I want is automatic package execution when excel files are dropped into a certain folder. However, these excel files will be the connection managers for populating a database.
Currently SSIS will not allow me to do this because my excel connection manager does not have a path when I run the program, and only exists once the files are dropped in the folder.
Is there a way for variable excel connection managers or the value of the connection string to be a variable?
Also, how do I implement the usage of this variable in an expression?
You can use a variable for the connection string of you excel source:
Click on your Connection manager of your excel source
In properties window, add an expression(1) ConnectionString(2) and assign a variable(3)
There are alot of different things you can do with variables. They are used alot in combination with for each loop containers and file system tasks. Your normally do something like this
create a variable in variable window
Set a static value or one that gets changed during the package flow
Map the variable to an expression
There are alot howtos on the web, maybe have a look at this to get warm with it:
http://www.simple-talk.com/sql/ssis/working-with-variables-in-sql-server-integration-services/
http://www.rafael-salas.com/2007/03/ssis-file-system-task-move-and-rename.html
The fastest way i know to achieve this is by creating an excel connection manager and setting its connection string through a variable. In order to do so you will need to make the connector first by pointing it to an excel file. It doesn't matter which, since you will be dynamically setting the new file in runtime. Then, select your excel connection manager and check its properties. You have a ConnectionString property, which you can set through an expression.
However, you must make sure that your package will only use the Excel Connector after it has been filled with the correct connection string!
For further information on SSIS variables check this link: Variables in SSIS