postgres-manage-python | list Postgresql databases from/to AWS S3 | Continuous Backup library

by valferon Python Version: Current License: MIT

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

kandi X-RAY | postgres-manage-python Summary

postgres-manage-python is a Python library typically used in Backup Recovery, Continuous Backup, PostgresSQL, Amazon S3 applications. postgres-manage-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Utility to backup, restore and list Postgresql databases from/to AWS S3 using python

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Support

postgres-manage-python has a low active ecosystem.

It has 19 star(s) with 7 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 postgres-manage-python is current.

Quality

postgres-manage-python has no bugs reported.

Security

postgres-manage-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

postgres-manage-python 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

postgres-manage-python releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed postgres-manage-python and discovered the below as its top functions. This is intended to give you an instant insight into postgres-manage-python implemented functionality, and help decide if they suit your requirements.

Main function .
Backup a Postgres database .
Remove faulty statements from the dump
Restore a Postgres database .
Create database .
List available backups .
List Postgres databases .
Swaps database after restore
Upload a file to S3 .
Download a file from S3 .

Get all kandi verified functions for this library.

postgres-manage-python Key Features

No Key Features are available at this moment for postgres-manage-python.

postgres-manage-python Examples and Code Snippets

No Code Snippets are available at this moment for postgres-manage-python.

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

Vulnerabilities

No vulnerabilities reported

Install postgres-manage-python

Create and activate virtualenv. Create configuration file (ie. sample.config).
Create and activate virtualenv virtualenv -p python3 venv source venv/bin/activate
Install dependencies pip3 install -r requirements.txt
Create configuration file (ie. sample.config) [setup] # define if LOCAL or S3 storage will be used when storing/restoring the backup storage_engine='S3' [S3] bucket_name="db_backups.s3.my.domain.com" # S3 bucket name (no need for s3:// prefix) bucket_backup_path="postgres/" # PATH in the bucket to store your backups [local_storage] path=./backups/ [postgresql] host=<your_psql_addr(probably 127.0.0.1)> port=<your_psql_port(probably 5432)> db=<your_db_name> user=<your_username> password=<your_password>

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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