pg_view | time view of your PostgreSQL database | Monitoring library

by zalando Python Version: PG_VIEW_1_4_0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pg_view Summary

pg_view is a Python library typically used in Performance Management, Monitoring, PostgresSQL applications. pg_view has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pg_view has a Non-SPDX License. You can install using 'pip install pg_view' or download it from GitHub, PyPI.

Get a detailed, real-time view of your PostgreSQL database and system metrics

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Quality

Security

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Support

pg_view has a low active ecosystem.

It has 476 star(s) with 46 fork(s). There are 59 watchers for this library.

It had no major release in the last 12 months.

There are 22 open issues and 31 have been closed. On average issues are closed in 47 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pg_view is PG_VIEW_1_4_0

Quality

pg_view has 0 bugs and 0 code smells.

Security

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

pg_view code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pg_view 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_view releases are available to install and integrate.

Deployable package is available in PyPI.

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

Top functions reviewed by kandi - BETA

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

Get a list of postmasters directories
Return database name from db_path
Read the contents of a file
Calculate the diff between two processes
Calculate the diff between two rows
Return the output of ncurses output
Calculate dynamic width
Calculate column types
Generate the output column name
Refresh the database
Establish a postgres connection
Parse the command line arguments
Setup setup
Read configuration file
Cookie value
Fetch data from the work directory
Return the output of the table
Try to connect to the PostgreSQL cluster
Loop forever
Setup the logger
Refresh the CPU stats
Return JSON output
Refreshes the device
Return the status of a time field
Produce a diff row
Check if given method is valid

Get all kandi verified functions for this library.

pg_view Key Features

No Key Features are available at this moment for pg_view.

pg_view Examples and Code Snippets

No Code Snippets are available at this moment for pg_view.

Community Discussions

Trending Discussions on pg_view

redshift listagg on user permission query

QUESTION

redshift listagg on user permission query

Asked 2021-Jun-07 at 11:35

I am using listagg to group users having same permissions, based on the query from the below stack question, tweaked it a bit for my needs. How do I view grants on Redshift

This fails saying listagg is compute node function and should be used on user created table. Any way to use listagg on catalog tables and has_*_privilege function both of which runs on leader node?

...

ANSWER

Answered 2021-Jun-07 at 11:35

No.

As you have correctly understood, listagg is a function implemented by Redshift, rather than being inherited from Postgres/Paraccel, and it has been implemented only on the worker nodes.

The has function is from Postgres, and is implemented only on the leader-node.

The query planner will not permit a query using a leader-node only function to recruit worker nodes, so you cannot call listagg.

(BTW, if I remember correctly, that 'v' for reltype is also going to pick up materialized views.)

As an aside, you can in fact obtain the information you are looking for directly from the system tables, but this is a long and complex undertaking. I am a Redshift specialist and it took me two months for the first version, although I was working at the time.

Source https://stackoverflow.com/questions/67866734

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

Vulnerabilities

No vulnerabilities reported

Install pg_view

You can install using 'pip install pg_view' or download it from GitHub, PyPI.
You can use pg_view 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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