zrepl | One-stop ZFS backup & replication solution | Continuous Backup library
kandi X-RAY | zrepl Summary
kandi X-RAY | zrepl Summary
zrepl is written in Go and uses Go modules to manage dependencies. The documentation is written in ReStructured Text using the Sphinx framework. Install build dependencies using ./lazy.sh devsetup. lazy.sh uses python3-pip to fetch the build dependencies for the docs - you might want to use a venv. If you just want to install the Go dependencies, run ./lazy.sh godep. The test suite is split into pure Go tests (make test-go) and platform tests that interact with ZFS and thus generally require root privileges (sudo make test-platform). Platform tests run on their own pool with the name zreplplatformtest, which is created using the file vdev in /tmp. For a full code coverage profile, run make test-go COVER=1 && sudo make test-platform && make cover-merge. An HTML report can be generated using make cover-html. Code generation is triggered by make generate. Generated code is committed to the source tree.
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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
Vulnerabilities
No vulnerabilities reported
Install zrepl
local development (building, running tests, etc)
building a release in Docker (used by the CI & release management)
building .deb and .rpm packages out of the release artifacts.
ci runs for every commit / branch / tag pushed to GitHub. It is supposed to run very fast (<5min and provides quick feedback to developers). It runs formatting checks, lints and tests on the most important OSes / architectures. Artifacts are published to minio.cschwarz.com (see GitHub Commit Status).
release runs on manual triggers through the CircleCI API (in order to produce a release) periodically on master Artifacts are published to minio.cschwarz.com (see GitHub Commit Status).
Issue the source release: Git tag the release on the master branch. Push the tag. Run ./docs/publish.sh to re-build & push zrepl.github.io.
Issue the official binary release: Run the release pipeline (triggered via CircleCI API) Download the artifacts to the release manager's machine. Create a GitHub release, edit the changelog, upload all the release artifacts, including .rpm and .deb files. Issue the GitHub release. Add the .rpm and .deb files to the official zrepl repos, publish those.
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