v0.4.10

Changed

• Extension icon: Updated to new Databricks icon

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Installation:

1. Download the .vsix file below
2. In VS Code: Ctrl+Shift+P → "Extensions: Install from VSIX..."
3. Select the downloaded file

---

Latest development build

• Version: 0.4.10
• Commit: 42d11e8dd7e174a887d5d715f2449488a5ad614f

v0.4.9

Added

• SQL IntelliSense: Schema, table, and column name suggestions with alias support (e.g., a. suggests columns from the aliased table)
• Dot-matrix banner: New pixel-art "DATABRICKS" banner for README
• Virtual environment setup guide: Added python -m venv .venv instructions for Databricks Connect installation
• Auto-open recommendation: Added settings recommendation for autoOpenNotebooks in usage docs
• Profile configuration note: Added databricks.yml requirement and databricks auth login instructions for profile switching

Changed

• Extension icon: Updated to new Databricks icon
• README cleanup: Removed development/architecture/contributing sections, streamlined formatting

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Installation:

1. Download the .vsix file below
2. In VS Code: Ctrl+Shift+P → "Extensions: Install from VSIX..."
3. Select the downloaded file

---

Latest development build

• Version: 0.4.9
• Commit: 54217020253c975ab8d168e19d6faac0d43fdebd

v0.4.8

Fixed

• Publisher ID typo: Fixed publisher ID from Harrngdev to Harryngdev

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Installation:

1. Download the .vsix file below
2. In VS Code: Ctrl+Shift+P → "Extensions: Install from VSIX..."
3. Select the downloaded file

---

Latest development build

• Version: 0.4.8
• Commit: a30a0fd39778af1ab603a27b9c74c0bbfeca4ae5

v0.4.7

Fixed

• Publisher ID: Changed publisher from databricks-notebook-studio to Harrngdev to match the VS Code Marketplace publisher account

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Installation:

1. Download the .vsix file below
2. In VS Code: Ctrl+Shift+P → "Extensions: Install from VSIX..."
3. Select the downloaded file

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Latest development build

• Version: 0.4.7
• Commit: 61dff695afca15fd473720ca0da60ba67009dbc9

v0.4.6

Changed

• Databricks Connect startup performance: Kernel now reports ready in ~1-2 seconds instead of ~15 seconds by deferring Spark session initialization to a background thread
  • A LazySparkSession proxy is placed in the namespace immediately so spark is available right away
  • The proxy transparently blocks on first use (e.g. spark.sql()) until the real session is connected
  • Pure Python cells can execute immediately without waiting for Databricks Connect
  • Background thread sends a spark_ready status update to VS Code when initialization completes
  • Thread-safe stdout writes prevent message interleaving between main and background threads

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Installation:

1. Download the .vsix file below
2. In VS Code: Ctrl+Shift+P → "Extensions: Install from VSIX..."
3. Select the downloaded file

---

Latest development build

• Version: 0.4.6
• Commit: 5ea85ae2f97eb7b7d5811528e4580c8f01f2a8b3

v0.4.5

Fixed

• %run and %fs magic commands no longer stripped from notebook cells: The notebook rendering was incorrectly removing %run and %fs prefixes from cell content when the notebook change handler fired, treating them as removable magic commands instead of preserving them like %pip

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Installation:

1. Download the .vsix file below
2. In VS Code: Ctrl+Shift+P → "Extensions: Install from VSIX..."
3. Select the downloaded file

---

Latest development build

• Version: 0.4.5
• Commit: fe431f5187b0d78dba85e02f9f8f140de9609b39

v0.4.4

Fixed

• Cell execution timeout now respects VS Code configuration: The databricks-notebook.pythonExecutionTimeout setting was defined but never applied — all cells silently used a hardcoded 60-second limit regardless of the configured value
• Default execution timeout raised from 60 seconds to 180 seconds (3 minutes) to better accommodate long-running Databricks serverless SQL queries

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Installation:

1. Download the .vsix file below
2. In VS Code: Ctrl+Shift+P → "Extensions: Install from VSIX..."
3. Select the downloaded file

---

Latest development build

• Version: 0.4.4
• Commit: 850a339571eacf7d4b94ae5009f2805c86c5ceff

v0.4.3

Added

• DataFrame Column Selection: Added column selector dropdown for showing/hiding columns
  • Dropdown button in DataFrame toolbar with visual active state
  • Checkbox list to toggle column visibility (show/hide individual columns)
  • Pin functionality to keep frequently-used columns at the top of the selector list
  • Search input to filter columns by name in the selector
  • "Select All" checkbox to quickly show/hide all columns
  • Reset button to restore all columns to visible state
  • Pinned columns display with subtle visual highlight
  • Fixed positioning to prevent clipping in scrollable containers
  • Column type icons displayed next to each column name

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Installation:

1. Download the .vsix file below
2. In VS Code: Ctrl+Shift+P → "Extensions: Install from VSIX..."
3. Select the downloaded file

---

Latest development build

• Version: 0.4.3
• Commit: 670d2d187c304ebcf5a4bde6ce46aba5c9ccbc4e

v0.4.2

Added

• DataFrame Search Functionality: Added interactive search toolbar for DataFrames
  • Real-time text search across all cells in the table
  • Case-sensitive toggle button for precise searching
  • Search result counter showing current match and total matches (e.g., "1 of 5")
  • Navigation buttons (Previous/Next) to jump between search matches
  • Clear button to quickly reset search
  • Visual highlighting of all matching cells with distinct styling for current match
  • Search input with icon and placeholder text
  • Keyboard shortcuts: Enter/Shift+Enter for next/previous match
  • Applies to both Spark and Pandas DataFrames
  • Integrated seamlessly with existing DataFrame rendering toolbar

Changed

• DataFrame Display Limit Default: Changed default from 1000 to 100 rows for better performance
  • Enhanced markdown description in VS Code settings UI for better discoverability
  • Added helpful tip in README explaining how to access the setting
  • Lower default improves rendering performance while remaining useful for most use cases
  • Users can easily adjust via VS Code settings UI (search "Databricks data display")

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Installation:

1. Download the .vsix file below
2. In VS Code: Ctrl+Shift+P → "Extensions: Install from VSIX..."
3. Select the downloaded file

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Latest development build

• Version: 0.4.2
• Commit: 28243b878487654b39647b49f448e31750306b12

v0.4.1

Added

• Row Index Column in DataFrame Tables: Added a leftmost column displaying sequential row numbers
  • Visual row numbering starting from 1, 2, 3...
  • Empty header cell with distinct styling (darker background, centered)
  • Fixed width (70px) with sticky positioning for horizontal scroll
  • Automatic re-numbering after sorting (indices reflect current visual order, not original data position)
  • Included in CSV exports with "Row" header
  • Index column excluded from sorting and resizing interactions
  • Applies to both Spark and Pandas DataFrames

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Installation:

1. Download the .vsix file below
2. In VS Code: Ctrl+Shift+P → "Extensions: Install from VSIX..."
3. Select the downloaded file

---

Latest development build

• Version: 0.4.1
• Commit: 8f695760c8b539a091e92a6d6c14455d5ae19789