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16.0 9.0 4.0 1.47 MB

Experimental or low-maturity things

License: Other

Python 15.34% Makefile 1.21% Go 80.15% Jupyter Notebook 2.54% JavaScript 0.76%
databricks databricks-api databricks-sdk

sandbox's Introduction

Databricks Labs Sandbox

lines of code

Experimental and low-maturity scripts

Installation

Please install and configure Databricks CLI v0.210.1+ and run

databricks labs install sandbox

Upgrading to newer versions:

databricks labs upgrade sandbox

Project support

Please note the code in this project is provided for your exploration only, and are not formally supported by Databricks with Service Level Agreements (SLAs). They are provided AS-IS and we do not make any guarantees of any kind. Please do not submit a support ticket relating to any issues arising from the use of these projects. The source in this project is provided subject to the Databricks License. All included or referenced third party libraries are subject to the licenses set forth below.

Any issues discovered through the use of this project should be filed as GitHub Issues on the Repo. They will be reviewed as time permits, but there are no formal SLAs for support.

sandbox's People

Contributors

alexott avatar dependabot[bot] avatar esiol-db avatar jonathan-choi avatar nfx avatar nkvuong avatar

Stargazers

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Watchers

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sandbox's Issues

runtime-packages has no installer and is not in cli script

The sandbox does not have an installer for the runtime-packages tool.
Even if a binary of the runtime-packages tools is available, how does this get installed?
And how does one use the tool, since the
cli.py does not include runtime-packages in its main function:

MAPPING = {
    "ip-access-list-analyzer": ip_access_list_analyzer
}


def main(raw):
    payload = json.loads(raw)
    command = payload["command"]
    if command not in MAPPING:
        msg = f"cannot find command: {command}"
        raise KeyError(msg)

Contributing

Hi !

I am not sure how to start contributing to this project at the moment and the directive in the repo is not so clear to me.

Let's say I wanted to work on a issue that involves documentation updates - how would that work?

Also,I remember that for dbx, there had to some legal agreement to be signed in the past, not sure if it also applies here?

Let me know and I can edit the contributing markdown with the discussion points.

Also, are there other more direct channels anyone interested in databricks-labs could talk about instead of using issues?

Add to IP Access List analyzer to merge consecutive blocks

For example, GitHub actions IP ranges have a lot of entries like:

    "13.105.49.0/31",
    "13.105.49.2/31",
    "13.105.49.4/31",
    "13.105.49.6/31",
    "13.105.49.8/31",
    "13.105.49.10/31",
    "13.105.49.12/31",
    "13.105.49.14/31",
    "13.105.49.16/31",
    "13.105.49.18/31",

that could be efficiently collapsed into a one or few bigger ranges. For example, here 128 entries could be efficiently merged into 13.105.49.0/24...

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