WebTop | simple task manger for linux system

by Loafter Go Version: 1.0 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | WebTop Summary

WebTop is a Go library. WebTop has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This is simple task manger for Linux system with Web interface. No dependencies, only WebTop binary and index.html in same directory.

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Support

WebTop has a low active ecosystem.

It has 89 star(s) with 8 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 6 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of WebTop is 1.0

Quality

WebTop has 0 bugs and 0 code smells.

Security

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

WebTop code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

WebTop does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

WebTop releases are available to install and integrate.

It has 1225 lines of code, 53 functions and 15 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed WebTop and discovered the below as its top functions. This is intended to give you an instant insight into WebTop implemented functionality, and help decide if they suit your requirements.

getMemSample returns a MemSample from a procinfo file
parseCPUFields is a helper function to parse CPU fields .
getLoadAvgSample returns LoadAvgSample from procfile
getCPUUSample reads CPU usage information
Get uptime from procfile
getCPUAverage returns the average of two CPU samples .
getProcCPUSample returns the ProcCPUSample .
getProcCPUAverage returns the CPUCPU average per second .
getSimpleCPUAverage returns the CPU average of two CPU samples
Start the top json service

Get all kandi verified functions for this library.

WebTop Key Features

No Key Features are available at this moment for WebTop.

WebTop Examples and Code Snippets

No Code Snippets are available at this moment for WebTop.

Community Discussions

Trending Discussions on WebTop

How to use Mapping Data flow to flatten hierarchy of a JSON string column in Data Lake

QUESTION

How to use Mapping Data flow to flatten hierarchy of a JSON string column in Data Lake

Asked 2021-May-07 at 02:05

I have CSV files in a container in Data Lake and I am trying to transform the attribute column(which is in json) in the files into multiple columnns. When I try using Data flows to do that, It recognizes the attribute column as string and I am unable to change it to array so that I can either flatten or create derived columns out of it. Am i doing something wrong here CSV File Format:

ID Name Attribute 123 Test {"Referrer URL":null,"Query Parameters":"topics"} 456 Test2 {"Referrer URL":"www.google.com","Query Parameters":"WebTopics"}

After following guidance of Mark and Joseph: Issues faced while using parsing function and removing spaces from keys in json objects in those columns

wouldn't the replace function also remove spaces from the values associated with those keys. That could be an issue if we get sentence type data in those fields.
I am still running into issues when I follow all the steps mentioned by Joseph. It may be associated with how I set up the dataset. If I use data preview to inspect the data, I see the the source does not properly fill up the columns. In the example, it just stops after Refferer URL being null and does not show the other values as well as the closing brackets of the json object in the column. adding pictures of datalake connection setup.

...

ANSWER

Answered 2021-May-05 at 19:44

Because your JSON string is actually a string field inside of a delimited text file, you first need to parse it using the Parse transformation. Now that "Attribute" is a JSON data type, you can then work with the structures and arrays inside of it.

https://docs.microsoft.com/en-us/azure/data-factory/data-flow-parse

Choose "Attribute" as your Expression property and give a name for the Column property. ADF will create a new hierarchical column based on that new name with the properties being the columns that you identify in the output property.

Source https://stackoverflow.com/questions/67406648

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

Vulnerabilities

No vulnerabilities reported

Install WebTop

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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