A tour of Monghoul on MongoDB
Suggestions from your data, an id that opens its document, and a theme of your own.
Recorded on Monghoul 2.0.0-rc.1. No sound.
What happens
A worked-in workspace: hovering a collection answers what is in it, opening it lands on a populated table, and a filter typed into the query already there is completed first with the field names the app learned from the documents and then with the values that field actually holds. The customer id in the first row opens that customer beside the value, and the referral in that customer opens the customer who referred them in a second peek beside the first. A wrong total is corrected in the cell, the status beside it is picked from a list of the six values the collection holds, and the updated date of the order is set from a calendar with a time and a timezone. In the tree a line item leads to its product and on to the category of that product. The Database Map shows the references one scan found, and the cluster monitor opens full width. A pipeline typed in the code editor is offered a field that did not exist until the stage above invented it, runs, and is read as a chart. The monitor is carried to the edge so the workspace splits, the query is saved, renamed and filed, and the whole thing is recoloured through four built-in themes, Nord Aurora first. Then a theme is grown from one colour: two preset colours and four styles, each repainting the whole app, then an exact orange brand typed in. In the theme editor, hovering a colour makes it pulse wherever the app uses it, the background and the accent are changed to charcoal and lime, and the saturation slider is drained to grey and pushed vivid before it is reset and the theme is saved.
Chapters
- 0:00 The workspace
- 0:03 What is in there
- 0:07 Open orders
- 0:10 Write a query
- 0:14 The values that field holds
- 0:22 Run it
- 0:23 An id opens its document
- 0:28 And the next one
- 0:35 One of these is wrong
- 0:38 Fix it in place
- 0:42 A status from its values
- 0:49 A date from a calendar
- 0:58 Read it as a tree
- 1:00 Deep inside a document
- 1:12 Where the links come from
- 1:22 And the cluster it runs on
- 1:26 Every second
- 1:34 Reach for anything
- 1:40 Build a pipeline
- 1:52 Nested paths too
- 2:04 The field the stage invented
- 2:10 Format it
- 2:12 Run the pipeline
- 2:15 Read it as a chart
- 2:28 Into the split
- 2:33 Run it here
- 2:37 Keep the query
- 2:40 Rename it
- 2:47 File it away
- 2:51 And the table beside it
- 2:56 Move the chart across
- 3:01 Fullscreen it to the tab
- 3:05 Or look at it differently
- 3:07 Nord
- 3:12 Light, and it means it
- 3:16 Rose pine
- 3:21 Midnight ocean
- 3:23 Or build your own
- 3:30 Pick a preset
- 3:34 Try a style
- 3:42 Or type the exact one
- 3:49 Where a colour is used
- 3:56 Change any colour
- 4:03 Drain it, or push it
- 4:16 Your font
- 4:25 Name it
- 4:32 Yours