bqup | BigQuery backup scripts | Continuous Backup library

 by   thinkingmachines Python Version: 0.0.14 License: MIT

kandi X-RAY | bqup Summary

kandi X-RAY | bqup Summary

bqup is a Python library typically used in Backup Recovery, Continuous Backup applications. bqup 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 bqup' or download it from GitHub, PyPI.

bqup is a backup tool for BigQuery projects. It can export a BigQuery project's structure and source code while mimicking the hierarchy of datasets and tables.
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            kandi-support Support

              bqup has a low active ecosystem.
              It has 31 star(s) with 11 fork(s). There are 35 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 28 have been closed. On average issues are closed in 117 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of bqup is 0.0.14

            kandi-Quality Quality

              bqup has 0 bugs and 0 code smells.

            kandi-Security Security

              bqup has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              bqup code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              bqup is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              bqup releases are available to install and integrate.
              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.
              bqup saves you 714 person hours of effort in developing the same functionality from scratch.
              It has 1650 lines of code, 34 functions and 22 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed bqup and discovered the below as its top functions. This is intended to give you an instant insight into bqup implemented functionality, and help decide if they suit your requirements.
            • Exports the table to file
            • Return the contents of the view query
            • Returns the file extension
            • Returns the path to the export table
            • Get the CREATE code for a routine
            • Get the body of the routine
            • Get the full name of a routine
            • Returns a string representation of the method s arguments
            • Export the routine
            • Return file contents as a string
            • Return the file extension
            • Returns the path to the exported routine
            • Gets the parameter
            • Export the project contents to a directory
            • Print information about all datasets
            Get all kandi verified functions for this library.

            bqup Key Features

            No Key Features are available at this moment for bqup.

            bqup Examples and Code Snippets

            bqup,Usage,Command line options
            Pythondot img1Lines of Code : 14dot img1License : Permissive (MIT)
            copy iconCopy
            bqup [-p PROJECT_ID] [-d TARGET_DIR] [-fvxr] [-e REGEX]
            
            Options:
              -p PROJECT_ID, --project PROJECT_ID  Project ID to load. If unspecified,
                                                   defaults to current project in
                                                     
            bqup,Installation
            Pythondot img2Lines of Code : 4dot img2License : Permissive (MIT)
            copy iconCopy
            $ pip install bqup
            
            $ git clone https://github.com/thinkingmachines/bqup.git
            $ cd bqup
            $ python3 setup.py install
              

            Community Discussions

            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 bqup

            bqup can be installed using pip. Alternatively, you can also clone the repository then run install.
            Check out bqup-starter to set up regular bqups using GitHub's workflows!.

            Support

            If you wish to contribute, check out our contributing guide!.
            Find more information at:

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            Install
          • PyPI

            pip install bqup

          • CLONE
          • HTTPS

            https://github.com/thinkingmachines/bqup.git

          • CLI

            gh repo clone thinkingmachines/bqup

          • sshUrl

            git@github.com:thinkingmachines/bqup.git

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