pg_probackup | Backup and recovery manager for PostgreSQL | Continuous Backup library

by postgrespro Python Version: 2.5.12 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | pg_probackup Summary

pg_probackup is a Python library typically used in Backup Recovery, Continuous Backup, Amazon S3 applications. pg_probackup has no bugs, it has no vulnerabilities and it has low support. However pg_probackup build file is not available and it has a Non-SPDX License. You can download it from GitHub.

pg_probackup is a utility to manage backup and recovery of PostgreSQL database clusters. It is designed to perform periodic backups of the PostgreSQL instance that enable you to restore the server in case of a failure.

Support

Quality

Security

License

Reuse

Support

pg_probackup has a low active ecosystem.

It has 591 star(s) with 78 fork(s). There are 43 watchers for this library.

It had no major release in the last 12 months.

There are 146 open issues and 316 have been closed. On average issues are closed in 209 days. There are 14 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pg_probackup is 2.5.12

Quality

pg_probackup has 0 bugs and 0 code smells.

Security

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

pg_probackup code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pg_probackup has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

pg_probackup releases are available to install and integrate.

pg_probackup has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

pg_probackup saves you 17636 person hours of effort in developing the same functionality from scratch.

It has 38777 lines of code, 677 functions and 44 files.

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of pg_probackup

Get all kandi verified functions for this library.

pg_probackup Key Features

No Key Features are available at this moment for pg_probackup.

pg_probackup Examples and Code Snippets

No Code Snippets are available at this moment for pg_probackup.

Community Discussions

Trending Discussions on Continuous Backup

How to disable azure cosmos db continious backup

Consistency of Continuous backup of Azure Cosmos DB

Mongo atlas recommends cloud provider snaphots for backup - Is it effective?

QUESTION

How to disable azure cosmos db continious backup

Asked 2022-Feb-22 at 10:59

I enabled the Azure cosmos DB continuous backup for one of my Cosmos DBs.
How can I disable it? It just says you have successfully enrolled in continuous backup.

...

ANSWER

Answered 2022-Feb-22 at 10:59

I 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.

Source https://stackoverflow.com/questions/69347197

QUESTION

Consistency of Continuous backup of Azure Cosmos DB

Asked 2021-Nov-25 at 17:15

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 17:15

Backups 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.

Source https://stackoverflow.com/questions/70099953

QUESTION

Mongo atlas recommends cloud provider snaphots for backup - Is it effective?

Asked 2020-May-19 at 10:12

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 10:12

Cloud 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.

Source https://stackoverflow.com/questions/61886736

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