monstache | go daemon that syncs MongoDB | SQL Database library

by rwynn Go Version: v6.7.5 License: MIT

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

kandi X-RAY | monstache Summary

monstache is a Go library typically used in Database, SQL Database, MongoDB, MariaDB applications. monstache has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

a go daemon that syncs mongodb to elasticsearch in realtime.

Support

Quality

Security

License

Reuse

Support

monstache has a medium active ecosystem.

It has 794 star(s) with 109 fork(s). There are 33 watchers for this library.

It had no major release in the last 12 months.

There are 117 open issues and 389 have been closed. On average issues are closed in 17 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of monstache is v6.7.5

Quality

monstache has 0 bugs and 0 code smells.

Security

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

monstache code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

monstache 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

monstache releases are available to install and integrate.

It has 5592 lines of code, 225 functions and 6 files.

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

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monstache Key Features

No Key Features are available at this moment for monstache.

monstache Examples and Code Snippets

No Code Snippets are available at this moment for monstache.

Community Discussions

Trending Discussions on monstache

monstache resends all of the mongodb collection data on re-install

GKE Pod not scheduled in different namespace

QUESTION

monstache resends all of the mongodb collection data on re-install

Asked 2021-Mar-09 at 23:56

I am using monstech version 6 by running a docker container.

It syncs data to elastic search as per my requirement but when i re-install it ( docker stop, docker rm, and then docker run) , it re-syncs the entire data again. I am using direct-read-namespaces mechanism for indexing my mongo collection into elastic search.

I have searched for the suggested mechanism for delta diff (on monstech restart) it but the soln suggested doesn't seem to be working for me.

https://github.com/rwynn/monstache/issues/152

monstache : version: 6 Elastic search : 7.4.2 Mongodb version: MongoDB 4.2

...

ANSWER

Answered 2021-Mar-09 at 23:56

So what worked for me is changing the configuration from config direct-read-namespaces to change-stream-namespaces.

Instead of tailing oplogs (configured via config direct-read-namespaces ), this mechanism uses the concept of watch api and can be used for very well sync the delta.

Official docs says :

"This option requires MongoDB 3.6 or above. The namespaces included will be tailed using watch API. When this option is enabled the direct tailing of the oplog is disabled, therefore you do not need to specify additional regular expressions to filter the set of collections to watch."

Refer: https://rwynn.github.io/monstache-site/config/

Source https://stackoverflow.com/questions/66545354

QUESTION

GKE Pod not scheduled in different namespace

Asked 2020-Dec-17 at 12:35

I want to deploy a monstache deployment in my already existing namespace "test-namespace". When I deploy it in "default" namespace it works but when I deploy it in "test-namespace" the pod does not schedule.

...

ANSWER

Answered 2020-Dec-17 at 12:35

It was a bug. Re-deploying it with GKE version 1.17.14-gke.1200 solved the problem.

Source https://stackoverflow.com/questions/64738092

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

Vulnerabilities

No vulnerabilities reported

Install monstache

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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