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Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

Home Page: http://redash.io/

License: BSD 2-Clause "Simplified" License

Shell 0.17% Python 43.62% JavaScript 31.75% HTML 1.09% CSS 0.07% Mako 0.02% Dockerfile 0.10% Makefile 0.05% TypeScript 16.84% Less 6.29%
analytics athena bi bigquery business-intelligence dashboard databricks hacktoberfest javascript mysql postgresql python redash redshift spark spark-sql visualization

redash's People

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redash's Issues

Excel connector

Ability to connect to query from excel in a way that will also refersh the data, when the query refreshes (CSV export is already available).

External API support

While 99% of re:dash functionality is exposed as API, it can only be consumed after signing in with a Google Account.

We need to have some sort of API key scheme, where you can generate API key per user and per query (to allow access for single query).

More "realtime" UI

  • Websockets support instead of long polling
  • Refresh dashboards when their queries have more recent data

Tables can overflow and break the grid

Problem

On queries which result in tables with many columns, the table can overflow, breaking the grid and exiting the screen.

Solution

  1. Switch to a full-width grid, which utilizes the entire screen size.
    Introduce horizontal scrolling for extremely wide tables.
  2. Introduce horizontal scrolling for extremely wide tables.

Support multiple databases for querying

Today we support only one database for querying and only PostgreSQL based databases, we want to let the user to add N number of databases and also support additional types of databases.

  • Add support for additional databases (MySQL at first stage)
  • Move querying database setting to the admin page instead of settings.py

Counter visualization

Optional additions:

  1. Value change indication (e.g. up by 20%)
  2. Distance from desired value (e.g. 50% under, 200% over)

Dashboard filters

User should be able to add a filter to the dashboard that will be applied to all the queries of the widgets displayed.

Such filters can be:

  • date selection
  • values selection

TBD: explain about the two possible implementation strategies.

Add date range selection

Right now each query defines its date range. We should support putting something like $DATE_MIN and $DATE_MAX as variables in queries, and let the query runner determine them - with some sort of default. This will allow selecting ranges beyond the default without modifying the queries.

Can't save draft queries without publishing them

Problem

Can’t save draft queries with titles. Once a query gets a title, it becomes public.

Solution

An explicit ‘draft’ state for queries, in which they are only visible to their authors.
Note that re:dash is aimed at sharable data and should prevent private data silos. The UI should encourage the user to get out of ‘draft’ ASAP (maybe with a drafts quota and/or publishing drafts after a set time period).

Query versioning

  • Each query should link to its parent, in case it's a fork of an existing query.
  • When changing a query, store last N versions and let the user go back to an older version.

Visualizations workflow & object

Visualizations (widget?) should have an object of their own containing the following data:

  • query
  • type (chart, cohort, grid, ...)
  • options

Tasks:

  • Visualization object
  • UI to create new visualizations instead of the hardcoded option we have today
  • Change the dashboard widgets to use visualizations rather than queries
  • Friendlier selector when adding new widgets to dashboard

Emphasize datasets more over queries (in query view)

Problem

Many users (managers) are mostly interested in datasets and don’t care about the queries.

Suggested solution

Create a “collapsed” state for queries, in which only a part of them is visible. This will allocate more space to the dataset itself and still allow users to expand the query to view it in full.

Query updater improvements

As part of the implementation of this we should consider to switching to using standard task queue, such as rq.

  • Use the peewee models in the manager/worker code
  • Status page for all jobs
  • Ability to "safe" restart the updater (so no queries are lost) (83e2618)
  • Bug: when canceling executing query with no process (meaning it's not really executing anymore), the cancel fails. Instead it should catch the exception and cancel this job.
  • Better visibility on workers status and restart of dead ones
  • Ability to cancel running query

User object

Today we don't store the users we have, just save a session cookie.
We need to introduce User object and connect all the different models to it, instead of just using the email.

More communicative/friendlier UI

  • Notification when save fails
  • Show notification when the query has changed, but not saved
  • Show confirm box, when trying to leave the page before saving the query
  • Turn back on browser notifications
  • Show error message when execute fails

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