codis | Proxy based Redis cluster solution supporting pipeline | Proxy library

by CodisLabs Go Version: 3.2.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | codis Summary

codis is a Go library typically used in Networking, Proxy applications. codis has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Codis is a proxy based high performance Redis cluster solution written in Go. It is production-ready and widely used at wandoujia.com and many companies. You can see Codis Releases for latest and most stable realeases.

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codis has a medium active ecosystem.

It has 12864 star(s) with 2707 fork(s). There are 898 watchers for this library.

It had no major release in the last 12 months.

There are 281 open issues and 1317 have been closed. On average issues are closed in 33 days. There are 16 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of codis is 3.2.2

Quality

codis has 0 bugs and 0 code smells.

Security

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

codis code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

codis 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

codis releases are available to install and integrate.

Installation instructions are available. Examples and code snippets are not available.

It has 75541 lines of code, 1461 functions and 295 files.

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

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codis Key Features

No Key Features are available at this moment for codis.

codis Examples and Code Snippets

No Code Snippets are available at this moment for codis.

Community Discussions

Trending Discussions on codis

Loop over data frame to get quantiles and identify outliers

Error in t.test of independent groups: data are esentially constant

QUESTION

Loop over data frame to get quantiles and identify outliers

Asked 2021-Nov-26 at 13:42

Not sure why I am getting this wrong

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ANSWER

Answered 2021-Nov-26 at 13:42

I would perhaps take this approach - sapply() taking the outliers_v00 data, it will work through each variable applying the function specified. Here it is a custom function returning the quantiles and IQR as a vector. The output from sapply() is then transposed with t() to put it a more intuitive way around, and returned as a data.frame.

Source https://stackoverflow.com/questions/70120934

QUESTION

Error in t.test of independent groups: data are esentially constant

Asked 2021-Nov-08 at 10:23

I am getting this error when I performed t.test of independent groups created from terciles of several variables. It is strange because when I coded first time it worked, and suddenly has stopped working I post a sample of my database where I am getting the error

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ANSWER

Answered 2021-Nov-08 at 10:23

One of the rows has -Inf value. Identifying and removing that row would help. Use filter_if and is.infinite to achieve this.

Source https://stackoverflow.com/questions/69880964

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install codis

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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