export_manager | CLI tool to help manage exports | Continuous Backup library

by brokensandals Python Version: Current License: MIT

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

kandi X-RAY | export_manager Summary

export_manager is a Python library typically used in Backup Recovery, Continuous Backup, Docker applications. export_manager has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install export_manager' or download it from GitHub, PyPI.

This tool helps manage automatic exports/backups of personal data (for example, from cloud services like Todoist or Goodreads).

Support

Quality

Security

License

Reuse

Support

export_manager has a low active ecosystem.

It has 8 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

export_manager has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of export_manager is current.

Quality

export_manager has 0 bugs and 0 code smells.

Security

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

export_manager code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

export_manager 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

export_manager releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

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export_manager Key Features

No Key Features are available at this moment for export_manager.

export_manager Examples and Code Snippets

export_manager,Development

Python

Lines of Code : 2

License : Permissive (MIT)

Copy

PYTHONPATH=src pytest

PYTHONPATH=src python -m export_manager ...

export_manager,Metrics and Reports

Python

Lines of Code : 2

License : Permissive (MIT)

Copy

export_manager report ~/exports/*

metrics.tasks.cmd = "jq '.items | length' $PARCEL_PATH"

export_manager,Ingesting Files Directly

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

ingest.paths = ["/Users/me/Dropbox/*.opml"]

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 export_manager

Install python3 and pip
pip install export_manager
Use the tool to set up directories for each dataset: mkdir ~/exports export_manager init ~/exports/todoist export_manager init ~/exports/goodreads # etc. The names can be anything you want, those are just examples. This will create a directory structure like this: ~/exports/ todoist/ config.toml metrics.csv data/ incomplete/ log/ goodreads/ config.toml metrics.csv data/ incomplete/ log/
Edit the config.toml file in each subdirectory to specify the schedule and the command to run. For example, if you install exporteer_todoist you could use the following config to export data from Todoist: # Command to invoke. $PARCEL_PATH will be set to ~/exports/todoist/data/DATETIME # $DATASET_PATH is also available and will be set to ~/exports/todoist cmd = "TODOIST_API_TOKEN=your_token exporteer_todoist full_sync > $PARCEL_PATH.json" # Only get a new export if the last one is at least 1 day old. interval = "1 day" # Only keep the most recent 5 successful exports. # If you don't specify this, export_manager will not delete old exports. keep = 5
Run export_manager process ~/exports/* to run all the exports and cleanups that are due. Set up a cron or launchd job to run this periodically.

Support

Help for each command is available on the command line and in the doc folder. You can use export_manager programmatically. The most important module is export_manager.dataset.

Find more information at: