ontap-extend-snaplock-expiry | extend Snaplock expiry time on a category of snapshots
kandi X-RAY | ontap-extend-snaplock-expiry Summary
kandi X-RAY | ontap-extend-snaplock-expiry Summary
ontap-extend-snaplock-expiry is a Python library. ontap-extend-snaplock-expiry has no bugs, it has no vulnerabilities and it has low support. However ontap-extend-snaplock-expiry build file is not available. You can download it from GitHub.
ontap-extend-snaplock-expiry is used to extend Snaplock expiry time on a category of snapshots, based on their snapmirror labels. When using Snapvault to backup data to a Snaplock aggregate, there is no option to make so the snapshots are individually snaplocked to the same date as the snapshot expiration time. As an effect, whatever the default Snaplock time for the volume is will be applied to incoming snapshots. This can cause a problem with mixed retention times, like keeping 30 daily snapshots, and 14 weekly snapshots : we should set the volume default snaplock expiration to 14 weeks, but in this case, all the daily snapshots within the 14 weeks retention for the weeklies will be retained and eat up additional space. Depending on the change rate, this can cause a significant storage over consumption.
ontap-extend-snaplock-expiry is used to extend Snaplock expiry time on a category of snapshots, based on their snapmirror labels. When using Snapvault to backup data to a Snaplock aggregate, there is no option to make so the snapshots are individually snaplocked to the same date as the snapshot expiration time. As an effect, whatever the default Snaplock time for the volume is will be applied to incoming snapshots. This can cause a problem with mixed retention times, like keeping 30 daily snapshots, and 14 weekly snapshots : we should set the volume default snaplock expiration to 14 weeks, but in this case, all the daily snapshots within the 14 weeks retention for the weeklies will be retained and eat up additional space. Depending on the change rate, this can cause a significant storage over consumption.
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Support
ontap-extend-snaplock-expiry has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 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 ontap-extend-snaplock-expiry is current.
Quality
ontap-extend-snaplock-expiry has no bugs reported.
Security
ontap-extend-snaplock-expiry has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
ontap-extend-snaplock-expiry 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.
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ontap-extend-snaplock-expiry releases are not available. You will need to build from source code and install.
ontap-extend-snaplock-expiry has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
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ontap-extend-snaplock-expiry Key Features
No Key Features are available at this moment for ontap-extend-snaplock-expiry.
ontap-extend-snaplock-expiry Examples and Code Snippets
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Community Discussions
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Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ontap-extend-snaplock-expiry
You can download it from GitHub.
You can use ontap-extend-snaplock-expiry like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use ontap-extend-snaplock-expiry like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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