I am trying to log the parameters, metrices and artifacts of my model in MLflow using Airflow . I am able to log these things when I execute the python file through the terminal, however it is not logged when I run the same file through Airflow.
Is there a way I can log these things when I execute the file through Airflow?
Related
We have an Airflow python script which read configuration files and then generate > 100 DAGs dynamically. When running the script in Airflow 2.4.1, from the task run log, we notice that Airflow is trying to parse our python script for every task run.
https://github.com/apache/airflow/blob/2.4.1/airflow/task/task_runner/standard_task_runner.py#L91-L97
Is there any way to make Airflow deserialize DAGs from DBs instead?
just found out that it is an expected behavior
https://medium.com/apache-airflow/airflows-magic-loop-ec424b05b629
https://medium.com/apache-airflow/magic-loop-in-airflow-reloaded-3e1bd8fb6671
but the Python script may use parsing context to load the respective DAG only
https://github.com/apache/airflow/pull/25161
I'm trying to schedule a simple R script. The scheduler succeeds for simple R scripts but whenever I include a package import using library() function, the task seems to fail with the (0x1) error message. Any ideas on why is this happening?. Of course scripts run when i do it manually in Rstudio.
I am trying to automate R scripts in Windows Task Scheduler. I've finally managed to get the program to run, sort of, but it doesn't complete its task.
When task scheduler runs, the CMD windows pops up and I can see it installing the necessary packages to run the script, but the task doesn't actually complete. It is supposed to update a spreadsheet, which works when I run the script in R Studio but does not work when I run it through Task Scheduler.
I am running the script through Windows Task Scheduler as follows:
Action: Start a Program
Program/script:"C:\R-4.0.3\bin\Rscript.exe"
Add arguments: "C:\Documents\Options-Measurement.R"
This may be related to the working directory. Could you please add something like print(getwd()) to your script and check if it is the desired working directory?
Environment : Hortonworks Sandbox HDP 2.2.4
Issue : Unable to run the hadoop commands present in the shell scripts as a root user. The oozie job is getting triggered as a root user, but when the hadoop fs or any mapreduce command is executed, then it runs as yarn user. As yarn, doesn’t have access to some of the file system , so the shell script is failing to execute. Let me know what changes I need to do , for making it run the hadoop commands as root user.
It is an expected behaviour to get Yarn in place whenever we are invoking shell actions in oozie. Yarn user only have the capabilities to run shell actions. One thing we can do is to give access permissions to Yarn on the file system.
This is more like a shell script question than an Oozie question. In theory, Oozie job runs as the user who submits the job. In a kerberos' env, the user is whoever signed in with keytab/password.
Once job is running on Hadoop cluster, in order to change the ownership of command, you can use "sudo" within your shell script. In your case, you may also want to make sure user "yarn" is allowed to sudo to the commands you want to execute.
Add below property to workflow:
HADOOP_USER_NAME=${wf:user()}
We are trying to schedule an R script using windows task scheduler.
location of R C:\Program Files\R\R-3.1.0\bin\R.exe
Location of my script D:\K-exercise\k-demo.R
These are the steps that we are following:
Task scheduler--Actions--new--program script--location of cmd.exe--arguments--"C:\Program Files\R\R-3.1.0\bin\R.exe" CMD BATCH "D:\K-exercise\k-demo.R"--triggered the time
Command prompt is opening but is not sure whether the script it is running or not?
We are not able to see any output.
Can someone help here?