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Redshift Console's goal is to be the tool to monitor and manage a Redshift cluster. The first release has basic tools to monitor running queries, WLM queue and your tables/schemas.
After over a year of managing our Redshift cluster with a collection of scripts and queries, we decided to bundle this into a more user friendly tool that can be used by a wider audience. This project also aims to uncover all the useful information hidden in Redshift's Developer Guide (such as the table design status query).
Features
Inflight queries view with option to cancel any query and view related alerts (when available; from STL_ALERT_EVENT_LOG).
WLM queue view.
Schemas view with additional information for each table including: total size (rows/MB), unsorted area size, is the table properly distributed and more.
Load errors (aggregated view) from the past 24h, based on STL_LOAD_ERRORS
Roadmap
This project is safe for usage, but still in its early stage (version 0.1). Future versions will include:
Loads - Progress of current operations and history of recent ones.
Vacuum status.
SNS/CloudWatch integration to show metrics and events from AWS' console.
Proactive notifications re. important events in the system: long running queries, problems, changes to the schema, dangerous levels of unsorted areas and more.
We are always happy to receive feedback and suggestions, especially if they are accompanied by a pull request.
Usage
You can either use the PyPI package or the docker image.
PyPI
The easiest way to install the project is from pypi:
$ pip install redshift-console
Settings are set from environment variables. The main setting to set is the connection string to your Redshift cluster: (make sure the user has sufficient permissions)
$ redshift-console runserver
Starting server on port 5000 (debug mode: False).
Docker
$ docker run -e REDSHIFT_CONNECTION_STRING="user= password= host= port=5439 dbname=" -p 5000:5000 everythingme/redshift_console
Starting server on port 5000 (debug mode: False).