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Fabric CLI OneLake file operations — upload, download, copy, move, list, create, and delete files and folders in OneLake storage. Use when working with files inside Lakehouse Files/ or Tables/ paths.
How this skill is triggered — by the user, by Claude, or both
Slash command
/fabric-cli:fabric-cli-onelakeThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Complete reference for reading and writing files in OneLake storage via `fab` CLI.
Complete reference for reading and writing files in OneLake storage via fab CLI.
uv run --env-file .env fab <command>
OneLake storage lives inside items (Lakehouse, Warehouse, etc.) with two root sections:
ws1.Workspace/lh1.Lakehouse/Files/ ← Unstructured file storage
ws1.Workspace/lh1.Lakehouse/Tables/ ← Delta tables (managed)
ws1.Workspace/wh1.Warehouse/Tables/dbo/ ← Warehouse tables (schema-qualified)
Path examples:
ws1.Workspace/lh1.Lakehouse/Files/data.csv
ws1.Workspace/lh1.Lakehouse/Files/raw-data/2024/january/sales.parquet
ws1.Workspace/lh1.Lakehouse/Tables/dbo/customer_profiles
ws1.Workspace/wh1.Warehouse/Tables/dbo/orders
ws1.Workspace/sem1.SemanticModel/Tables
# Change directory into OneLake
uv run --env-file .env fab cd ws1.Workspace/lh1.Lakehouse/Files
uv run --env-file .env fab cd ws1.Workspace/lh1.Lakehouse/Tables
uv run --env-file .env fab cd ws1.Workspace/lh1.Lakehouse/Files/raw-data/2024
# List files in a lakehouse
uv run --env-file .env fab ls ws1.Workspace/lh1.Lakehouse/Files
# List tables
uv run --env-file .env fab ls ws1.Workspace/lh1.Lakehouse/Tables
# List warehouse tables (schema-qualified)
uv run --env-file .env fab ls ws1.Workspace/wh1.Warehouse/Tables/dbo
# List semantic model tables
uv run --env-file .env fab ls ws1.Workspace/sem1.SemanticModel/Tables
# Check if a folder exists
uv run --env-file .env fab exists ws1.Workspace/lh1.Lakehouse/Files/data-processing
# Check if a file exists
uv run --env-file .env fab exists ws1.Workspace/lh1.Lakehouse/Files/datasets/sales.parquet
# Full metadata
uv run --env-file .env fab get ws1.Workspace/lh1.Lakehouse/Files/datasets
# Query specific field
uv run --env-file .env fab get ws1.Workspace/lh1.Lakehouse/Files/datasets -q paths[0]
# Full JSON
uv run --env-file .env fab get ws1.Workspace/lh1.Lakehouse/Files/datasets -q .
# Save metadata to file
uv run --env-file .env fab get ws1.Workspace/lh1.Lakehouse/Files/datasets -q paths[0] -o /tmp/metadata
# Upload a single file
uv run --env-file .env fab cp /tmp/local-data/dataset.csv ws1.Workspace/lh1.Lakehouse/Files/upload/
# Upload to a specific path
uv run --env-file .env fab cp ./local/data.csv ws1.Workspace/lh1.Lakehouse/Files/data.csv
# Download a file
uv run --env-file .env fab cp ws1.Workspace/lh1.Lakehouse/Files/csv/fab.csv /tmp/mydir
# Download to specific path
uv run --env-file .env fab cp ws1.Workspace/lh1.Lakehouse/Files/data.csv ./local/
# Copy between paths in same lakehouse
uv run --env-file .env fab cp ws1.Workspace/lh1.Lakehouse/Files/csv/data.csv ws1.Workspace/lh1.Lakehouse/Files/dest/
# Copy between workspaces
uv run --env-file .env fab cp ws1.Workspace/lh1.Lakehouse/Files/data.csv ws2.Workspace/lh2.Lakehouse/Files/data.csv
# Force overwrite
uv run --env-file .env fab cp ./data.csv ws1.Workspace/lh1.Lakehouse/Files/data.csv -f
# Recursive copy (all files in a folder)
uv run --env-file .env fab cp ws1.Workspace/lh1.Lakehouse/Files/source/ ws1.Workspace/lh1.Lakehouse/Files/dest/ -r
Copy flags: -f force (overwrite), -r recursive
# Create a folder
uv run --env-file .env fab create ws1.Workspace/lh1.Lakehouse/Files/data-processing
# Create nested folders
uv run --env-file .env fab create ws1.Workspace/lh1.Lakehouse/Files/raw-data/2024/january
# Delete a folder (with confirmation)
uv run --env-file .env fab rm ws1.Workspace/lh1.Lakehouse/Files/old-data
# Force delete a file (no confirmation)
uv run --env-file .env fab rm ws1.Workspace/lh1.Lakehouse/Files/temp/temporary-file.csv -f
Shortcuts provide virtual access to external data without copying:
# Create internal OneLake shortcut
uv run --env-file .env fab ln ws1.Workspace/lh1.Lakehouse/Files/shared_data.Shortcut --type oneLake --target ../../shared.Workspace/source.Lakehouse/Files/datasets
# Create external Azure Data Lake shortcut
uv run --env-file .env fab ln ws1.Workspace/lh1.Lakehouse/Tables/external_sales.Shortcut --type adlsGen2 -i '{"location": "https://storageaccount.dfs.core.windows.net/container", "subpath": "/data/sales", "connectionId": "<guid>"}'
# Check shortcut exists
uv run --env-file .env fab exists ws1.Workspace/lh1.Lakehouse/Files/external_data.Shortcut
# Get shortcut target
uv run --env-file .env fab get ws1.Workspace/lh1.Lakehouse/Files/external_data.Shortcut -q target
# Rename shortcut
uv run --env-file .env fab set ws1.Workspace/lh1.Lakehouse/Files/updated_name.Shortcut -q name -i external_data
# Delete shortcut
uv run --env-file .env fab rm ws1.Workspace/lh1.Lakehouse/Files/old_data.Shortcut -f
Shortcuts work in both /Files and /Tables sections.
# Upload each file in a local directory
for f in /tmp/data/*.csv; do
uv run --env-file .env fab cp "$f" ws1.Workspace/lh1.Lakehouse/Files/uploads/
done
# Download to temp
uv run --env-file .env fab cp ws1.Workspace/lh1.Lakehouse/Files/reports/summary.csv /tmp/
# Inspect locally
cat /tmp/summary.csv | head -20
# Upload
uv run --env-file .env fab cp ./data.parquet ws1.Workspace/lh1.Lakehouse/Files/data.parquet
# Verify it exists
uv run --env-file .env fab exists ws1.Workspace/lh1.Lakehouse/Files/data.parquet
fab cp to download files + Read tool to inspect content locally. Never use MCP download + base64 decode — it wastes context tokens. Never paste base64 strings in echo commands."ai_pro_wp.Workspace/ai_fork_lake.Lakehouse/Files/my folder/data.csv"| Issue | Fix |
|---|---|
ERROR_WORKSPACE_NOT_FOUND | Check workspace name and .Workspace extension |
| File not found after upload | Verify full path including /Files/ prefix |
| Cannot list Tables | Tables are managed by Spark/SQL — use fab table schema for details |
| Copy fails between workspaces | Ensure both workspaces exist and auth tokens have access |
| Shortcut creation fails | Check --type (oneLake, adlsGen2, s3, etc.) and connection ID |
| Permission denied | Verify FAB_TOKEN_ONELAKE is set in .env |
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