archivefs | An archival and backup file system for Linux using FUSE | Continuous Backup library
kandi X-RAY | archivefs Summary
kandi X-RAY | archivefs Summary
ArchiveFS is a FUSE file system used for archiving and backup. Its primary function is to ensure that multiple copies of a file are only represented as a single file. The representation of the file system is intentionally kept simple and consists just of a single SQLite3 database file and table (which can be dumped into a text file), together with a directory full of files. The file system is not intended for general purpose computing, but mostly for copying data in and out. It seems to be working reasonably well for backup, and even file system intensive operations like software builds seem to complete OK. Please give it a good try and workout, but don’t blame me if you lose any data.
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Top functions reviewed by kandi - BETA
- Make the tables
- release a file
- Initialize the object .
- Main entry point .
- Compute the md5sum of a file .
- Return directory name .
- Normalize a path .
- Convert flags to mode .
- Compute md5 hash of data .
- return the id of the md5sum
archivefs Key Features
archivefs Examples and Code Snippets
Community Discussions
Trending Discussions on Continuous Backup
QUESTION
ANSWER
Answered 2022-Feb-22 at 10:59I am not sure if you have seen this message in the portal when you created the account/also mentioned in the doc
"You will not be able to switch between the backup policies after the account has been created"
since you need to select either "Periodic" or "Continuous" at the creation of Cosmos Account, it becomes mandatory.
Update:
You will not see the above in portal anymore, you can Switch from "Periodic" to "Continous" on an existing account and that cannot be reverted. You can read more here.
QUESTION
What would be the consistency of the continuous backup of the write region if the database is using bounded staleness consistency? Will it be equivalent to strong consistent data assuming no failovers happened?
Thanks Guru
...ANSWER
Answered 2021-Nov-25 at 17:15Backups made from any secondary region will have data consistency defined by the guarantees provided by the consistency level chosen. In the case of strong consistency, all secondary region backups will have completely consistent data.
Bounded staleness will have data that may have stale or inconsistent data inside the defined staleness window (minimum 300 seconds or 100k writes). Outside of that staleness window the data will be consistent.
Data for the weaker consistency levels will have no guarantees for consistency from backups in secondary regions.
QUESTION
MongoDB has deprecated the continuous back up of data. It has recommended using CPS (Cloud provider snapshots). As far as I understood, snapshots isn't really going to be effective compared to continuous backup coz, if system breaks, then we can only be able to restore the data till the previous snapshot which isn't gonna make the database up-to-date or close to it atleast.
Am I missing something here in my understanding?
...ANSWER
Answered 2020-May-19 at 10:12Cloud provider snapshots can be combined with point in time restore to give the recovery point objective you require. With oplog based restores you can get granularity of one second.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install archivefs
You can use archivefs 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.
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