RedDog | build solutions on the Microsoft Azure platform | Azure library

by sandrinodimattia C# Version: 0.2.0.1 License: MIT

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kandi X-RAY | RedDog Summary

RedDog is a C# library typically used in Cloud, Azure applications. RedDog has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

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RedDog has a low active ecosystem.

It has 39 star(s) with 19 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 6 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RedDog is 0.2.0.1

Quality

RedDog has 0 bugs and 0 code smells.

Security

RedDog has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

RedDog code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

RedDog is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

RedDog releases are available to install and integrate.

RedDog saves you 90300 person hours of effort in developing the same functionality from scratch.

It has 98583 lines of code, 0 functions and 198 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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Community Discussions

Trending Discussions on RedDog

Configure kubernetes to DNS resolve the given domain as the first try, instead of using given-domain.namespace.svc.cluster.local

Multiple matches and spaces variants (python lookup to return another column after match)

How to get a python lookup to return another column after match

Trouble using separator parameter in print function in Python

MarkLogic - XDMP-HOSTOFFLINE: Host is offline or not responding

QUESTION

Configure kubernetes to DNS resolve the given domain as the first try, instead of using given-domain.namespace.svc.cluster.local

Asked 2022-Apr-10 at 10:30

By default, when we raise a request from a Pod to another pod, Kubernetes is trying to append .namespace.svc.cluster.local to the domain we gave and try to resolve.

But in our case, we are already using a fully qualified URL to raise the request (http://service-name.namespace.svc.cluster.local/api/...) in all the places, but here also Kubernetes will try to resolve DNS for service-name.namespace.svc.cluster.local.namespace.svc.cluster.local and try a bunch of other domains as well, at last only it will try the actually given domain.

Question: Is there a way to configure Kubernetes to use the given domain for DNS resolve on the first try? If failed then it can try other domains

Environment Info:

Environment: AKS
Pod OS: Debian GNU v10 (buster)

Additional Info:

Contents of /etc/resolv.conf inside a Pod

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ANSWER

Answered 2022-Apr-10 at 10:30

Lowering the ndots will fix the issue

ndots: sets a threshold for the number of dots which must appear in a name before an initial absolute query will be made. The default for n is 1, meaning that if there are any dots in a name, the name will be tried first as an absolute name before any search list elements are appended to it.

Try this :

Source https://stackoverflow.com/questions/71814771

QUESTION

Multiple matches and spaces variants (python lookup to return another column after match)

Asked 2021-Jun-14 at 02:34

Previously, I have matched values on a different list (this thread How to get a python lookup to return another column after match)

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ANSWER

Answered 2021-Jun-14 at 02:34

We can try findall then explode

Source https://stackoverflow.com/questions/67964091

QUESTION

How to get a python lookup to return another column after match

Asked 2021-Jun-10 at 06:32

I have 2 lists, df and df2 (which is a taxonomy). I want to search a column in df using values from df2, and return ANOTHER value from df2, after a match/or matches are found. How do I do it?

My attempt is

...

ANSWER

Answered 2021-Jun-10 at 05:36

You can split a string into a list of tokens in df['Name'] and transform the list into np.array. Then, use np.in1d() to check if there is any token that exists in df2['NarrowTerm']. If true, return the corresponding BroadTerm.

Try this:

Source https://stackoverflow.com/questions/67915171

QUESTION

Trouble using separator parameter in print function in Python

Asked 2020-Oct-26 at 16:12

I am working on a practice program where I design a function that takes a table and prints it out right justified. My code isn't the best, I am still a beginner so I don't know all the ways to make my code shorter just yet. For the actual printing part of the function, I was having trouble using the sep='' parameter in the print function. I was able to code around it but I'd like to try and understand where I went wrong that it didn't work.

Here's my code (it currently only works on a list that is 3x3):

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ANSWER

Answered 2020-Oct-26 at 15:43

I think you want to separate the variables by commas, not plus signs. + concatenates, but , puts them as separate arguments to print, which print can separate with spaces.

Source https://stackoverflow.com/questions/64540338

QUESTION

MarkLogic - XDMP-HOSTOFFLINE: Host is offline or not responding

Asked 2020-May-12 at 10:58

MarkLogic 9.0.9 Deployed in Azure with Managed Disk

While setting up new MarkLogic Cluster, we are facing an issue for 2 server nodes as below

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ANSWER

Answered 2020-May-12 at 10:58

After discussing same issue with infra team, they found issue with DNS resolution as full dns was not set in hostname within MarkLogic. i.e. ml-01 was set in hostname instead of ml-01.abc.com and then as MarkLogic was in azure, it added ml.01.reddog.microsoft.com automatically.

So outside MarkLogic we were able to ping server with full name.

After change in DNS resolution, i was able to add ML server nodes in cluster.

Source https://stackoverflow.com/questions/61629199

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