im-me | software for the Girl Tech IM-Me | Android library

by mossmann C++ Version: Current License: GPL-2.0

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

kandi X-RAY | im-me Summary

im-me is a C++ library typically used in Mobile, Android, Deep Learning applications. im-me has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

This repository contains software for the Girl Tech IM-Me.

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Quality

Security

License

Reuse

Support

im-me has a low active ecosystem.

It has 114 star(s) with 51 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of im-me is current.

Quality

im-me has 0 bugs and 0 code smells.

Security

im-me has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

im-me code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

im-me is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

im-me releases are not available. You will need to build from source code and install.

It has 41 lines of code, 3 functions and 1 files.

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

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im-me Key Features

No Key Features are available at this moment for im-me.

im-me Examples and Code Snippets

No Code Snippets are available at this moment for im-me.

Community Discussions

Trending Discussions on im-me

Why there is much time cost between took_millis and timeout in elasticsearch slow query

QUESTION

Why there is much time cost between took_millis and timeout in elasticsearch slow query

Asked 2021-Oct-19 at 10:23

I meet some slow queries in the production environment and I config the slow log to find some slow queries info like this(query_string with 500ms timeout):

...

ANSWER

Answered 2021-Oct-19 at 10:23

Setting a timeout on a query doesn't ensure that the query is actually cancelled when its execution time surpasses that timeout. The Elasticsearch documentation states:

"By default, a running search only checks if it is cancelled or not on segment boundaries, therefore the cancellation can be delayed by large segments."

https://www.elastic.co/guide/en/elasticsearch/reference/6.8/search.html#global-search-timeout

Check issues 3627, 4586 and 2929

This can explain the 504ms between timeout and took_millis, your query just takes that long, and it is not cancelled in time.

To analyze the query execution and see what might be causing these long delays, you can rerun the query with the profile API. Note that if the slow execution of your query cannot be reproduced, this won't help you solve the issue. If your query runs fine most of the time, try to correlate these slow-running queries with external factors such as server load.

Source https://stackoverflow.com/questions/69624504

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

Vulnerabilities

No vulnerabilities reported

Install im-me

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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