pg-logical-manager | Manage PostgreSQL logical replication

by levkk Python Version: 0.4.3 License: MIT

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

kandi X-RAY | pg-logical-manager Summary

pg-logical-manager is a Python library. pg-logical-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 pg-logical-manager' or download it from GitHub, PyPI.

Manage PostgreSQL logical replication.

Support

Quality

Security

License

Reuse

Support

pg-logical-manager has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

pg-logical-manager has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pg-logical-manager is 0.4.3

Quality

pg-logical-manager has no bugs reported.

Security

pg-logical-manager has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pg-logical-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

pg-logical-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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Prints all subscriptions
Create a ReplicationSlot object from a DB row
Refresh all subscriptions
Show all publications
Create an object from a DB row
Refreshes the database
Display the replication slots
Reload all slots from the database
Construct an instance from a row
Drop a replication slot
Create a replication slot
Reverse a subscription
Drop a subscription
Disable a subscription by name
Enable a subscription
List tables
Return the last replication origin
Get a publication by name
Get a subscription by name
Drops the publication
Lists the columns in a table
Drop the replication slot
Show the table
Prints the replication origins
Prints all tables
Rewrite a replication origin

Get all kandi verified functions for this library.

pg-logical-manager Key Features

No Key Features are available at this moment for pg-logical-manager.

pg-logical-manager Examples and Code Snippets

Advanced (read risky) features

Python

Lines of Code : 5

License : Permissive (MIT)

Copy

$ pglogicalmanager list-replication-origins
$ pglogicalmanager rewind-replication-origin --help

$ pglogicalmanager reverse-subscription --help

$ pglogicalmanager create-replication-slot test_slot

$ pglogicalmanager list-replication-slots

pg-logical-manager,Pypi (production),Virtual environment (development)

Python

Lines of Code : 2

License : Permissive (MIT)

Copy

$ python -m pglogicalmanager

$ pglogicalmanager

pg-logical-manager,Usage

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

$ pglogicalmanager --help

Community Discussions

No Community Discussions are available at this moment for pg-logical-manager.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install pg-logical-manager

You can install using 'pip install pg-logical-manager' or download it from GitHub, PyPI.
You can use pg-logical-manager like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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