Spark getting-started example does not work without podman

[adutra]

Describe the bug

Without podman I got this error:

 sh getting-started/spark/launch-docker.sh
Configuration on demand is an incubating feature.

> Task :regeneratePythonClient FAILED
test/test_cli_parsing.py: skipped
Regenerating python from the spec
Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM
Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:51943: connect: connection refused

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':regeneratePythonClient'.
> Process 'command 'bash'' finished with non-zero exit value 125

To Reproduce

sh getting-started/spark/launch-docker.sh

Actual Behavior

No response

Expected Behavior

The example should also work with docker.

Additional context

No response

System information

No response

[HonahX]

We are working on removing the docker dependency to auto-generate python client via python script instead: #2192

I think the problem will be fixed after we merge that

[MonkeyCanCode]

This is due to recent change where we preferred podman over docker. For the above, u can try the following:

export DOCKER=docker
sh getting-started/spark/launch-docker.sh

This is due to d2667e5 and 6764a88.

But as @HonahX mentioned above, #2192 will remove the dependency on docker for code regen which will bypass this issue. Let me review the comments then I will for for one more review.

[MonkeyCanCode]

@adutra this should be fixed now as #2192 is merged. Do you mind check again?

[adutra]

@MonkeyCanCode I can't test with podman right now, my podman installation is completely broken 😆

[adutra]

Let's close it for now and re-open if someone hits the same error again.