Editor Pane

The notebook editor is where you write and execute Python3, Scala, or SQL code interactively. Open it by clicking a notebook Name on the Notebooks list. The top bar spans two rows: the first carries the Spark session toggle, the language logo, Spark Logs and the cluster chip, and the second carries export, clear-outputs, save, Run All and the kernel controls. Three panels hang off the left icon rail, five off the right, and the cell canvas fills everything in between.

Route: /tenant/<tenantId>/workspace/<workspaceId>/notebook/<notebookId>

The breadcrumb reads Workspaces > <workspace> > Notebooks > <notebook name>, followed by an Active chip.

The screen is organised into four regions:

1. A two-row top bar.
2. A left icon rail that opens browsing panels.
3. The cell canvas in the middle.
4. A right icon rail that opens configuration and history panels.

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Top Bar

Row 1

Control	Behaviour
Session toggle (▶)	Starts and stops the Spark session. Its tooltip reads Spark: STOPPED (Status of the spark session) and Start / Stop spark session here.
Language logo	The notebook language, shown as its language icon (for example python).
Spark Logs	Tooltip View Spark application logs. See Spark Logs.
Cluster chip (far right)	Shows a Nodes <n> bar, the cluster name, the runtime string (for example (YEEDU) Spark 3.5.3 Scala 2.12.15), and a chevron that opens the cluster attach dropdown.

Row 2

Control	Tooltip / behaviour
Download icon	Export notebook
Trash icon	Clear All Outputs
Save icon	Save Notebook
Last saved: <timestamp> (<relative>)	The auto-save indicator. See Auto-Save.
Run All (orange)	Runs every cell in the notebook.
Kernel (⟳)	Restart Kernel
Kernel state badge	The current kernel state, for example Stopped.

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Left Icon Rail

Three navigation panels, top to bottom:

Tooltip	What it opens
Catalog Explorer	The metastore browser. See Schema Explorer.
All Notebooks	The notebook switcher. See All Notebooks Panel.
Files	The workspace file tree. See Files Panel.

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Right Icon Rail

Five configuration and history panels, top to bottom:

Tooltip	What it opens
Widgets	The parameter strip. See Widgets Panel.
Secrets	Environment-variable and metastore secrets. See Notebook Secrets.
Advanced Options	Notebook-level Spark settings. See Advanced Options.
Keyboard Shortcuts	The shortcut reference. See Keyboard Shortcuts.
Notebook Run History	Past runs of this notebook. See Notebook Runs.

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Cell Canvas

Inserting Cells

Hover the gap between two cells to reveal the inline insertion buttons + Code and + Text. They aren't visible until you hover. + Text inserts a Markdown cell.

Cell Header

From left to right, the cell header holds:

• The collapse chevron, tooltip Collapse Cell.
• The execution counter, for example [ 3 ].
• The cell index.
• A status and timing chip whose tooltip reads Execution Time: 0.187s, Run By: <email>, and Last Run: <timestamp>.

Cell Toolbar

Nine icons, in this order:

#	Action
1	Run cell
2	Copy Code
3	Ask AI Assistant
4	Clone Cell
5	Insert Cell Above
6	Insert Cell Below
7	Move Up
8	Move Down
9	Delete Cell

Ask AI Assistant opens the inline prompt bar we documented in LLM Model Selection.

Editor Footer

The editor footer of each cell displays the caret position continuously as Line <n>, Column <n>.

Output Area

We put two icons on the output area of an executed cell: Details on the left and an expand / fullscreen toggle on the right. See Results Pane.

Canvas Footer Hints

The bottom of the canvas shows, verbatim:

[Ctrl+Shift+Enter] to run all cells
[Shift+Enter] to run individual cell
[Esc H] to view all keyboard shortcuts

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Cluster Attach Dropdown

Click the chevron on the cluster chip to open the cluster dropdown. We render an individual card for every cluster available to the workspace.

Card Header

The card header holds a status dot, the cluster icon, the cluster name, an open-in-new icon, the status badge (for example RUNNING), the action icons, and a chevron that expands the card body.

Icon Tooltips

Icon	Tooltip
Cluster icon	Min Instances: <n> / Max Instances: <n> / Instance Size: <n>
Chain icon (shown on the attached cluster only)	Detach cluster
◉ icon	Stop
Turbo icon	Enable turbo

Expanded Card Body

The expanded body lists, in order:

Field	Example
Cluster type	YEEDU
Disk Volume	200 GB
Runtime	Spark 3.5.3, Scala 2.12.15, Python 3.9.5
Compute	Onprem-M-8, 16 Memory, 8 Cores
Turbo Acceleration	Enabled or Disabled
Metastore	<name> - <TYPE> with a link icon, or -- when none is attached

Footer

The dropdown footer carries a Create and Attach Cluster button, which creates a cluster and attaches it to this notebook, so you don't have to leave the editor.

tip

Use the turbo icon on a cluster card to Enable turbo; there's no need to open the cluster configuration page.