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Sqldw Consumption Cli

  • 118 installs
  • 886 repo stars
  • Updated July 23, 2026
  • microsoft/skills-for-fabric

Execute T-SQL queries against Fabric Data Warehouse, Lakehouse SQL Endpoints, and Mirrored Databases via sqlcmd CLI with Entra ID authentication.

About

sqldw-consumption-cli executes read-only T-SQL queries against Microsoft Fabric data warehouses, lakehouse SQL endpoints, and mirrored databases using the Go-based sqlcmd CLI tool. Supports schema discovery, row counting, SELECT queries, filtering, aggregation, performance monitoring, and CSV/JSON export. Includes agentic data exploration workflows with step-by-step schema discovery. Uses Entra ID authentication via DefaultAzureCredential. Preferred default for lakehouse queries unless PySpark or Spark DataFrames explicitly requested. Covers connection fundamentals, supported T-SQL surface area, cross-database queries, temporary tables, security, and monitoring via DMVs and Query Insights.

  • Entra ID auth via sqlcmd Go binary - no ODBC driver required
  • Agentic exploration workflow with schema discovery sequence
  • Read-only safe on SQL endpoints; DML support on Warehouse
  • Performance monitoring via DMVs and Query Insights (30-day history)
  • Cross-database queries, views, TVFs, and temp table staging patterns

Sqldw Consumption Cli by the numbers

  • 118 all-time installs (skills.sh)
  • Ranked #2,848 of 4,386 Backend & APIs skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/microsoft/skills-for-fabric --skill sqldw-consumption-cli

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Installs118
repo stars886
Security audit3 / 3 scanners passed
Last updatedJuly 23, 2026
Repositorymicrosoft/skills-for-fabric

What it does

Query Fabric Data Warehouse, Lakehouse SQL Endpoints, and Mirrored Databases via CLI for row counts, schema exploration, filtering, aggregation, and CSV export.

Who is it for?

Developers querying Fabric data warehouses and lakehouse SQL endpoints; agentic data exploration; reporting views; schema discovery; performance diagnostics; CSV/JSON export pipelines.

Skip if: PySpark/Spark DataFrame workflows; write operations on SQL endpoints (read-only); ODBC-dependent legacy tools; MARS-enabled connection strings; building Fabric items/workspaces.

When should I use this skill?

User requests: warehouse/lakehouse query, SQL query, T-SQL, row counts, schema exploration, describe warehouse, generate T-SQL script, warehouse performance, export SQL data, connect to warehouse, lakehouse data explorat

What you get

Users can discover schemas, count rows, filter/aggregate data, monitor query performance, and export results to CSV/JSON via standard sqlcmd commands.

Files

SKILL.mdMarkdownGitHub ↗
Update Check — ONCE PER SESSION (mandatory)
The first time this skill is used in a session, run the check-updates skill before proceeding.
- GitHub Copilot CLI / VS Code: invoke the check-updates skill.
- Claude Code / Cowork / Cursor / Windsurf / Codex: compare local vs remote package.json version.
- Skip if the check was already performed earlier in this session.
CRITICAL NOTES
1. To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
2. To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering

SQL Endpoint Consumption — CLI Skill

Table of Contents

TaskReferenceNotes
Finding Workspaces and Items in FabricCOMMON-CLI.md § Finding Workspaces and Items in FabricMandatoryREAD link first [needed for finding workspace id by its name or item id by its name, item type, and workspace id]
Fabric Topology & Key ConceptsCOMMON-CORE.md § Fabric Topology & Key Concepts
Environment URLsCOMMON-CORE.md § Environment URLs
Authentication & Token AcquisitionCOMMON-CORE.md § Authentication & Token AcquisitionWrong audience = 401; read before any auth issue
Core Control-Plane REST APIsCOMMON-CORE.md § Core Control-Plane REST APIsIncludes pagination, LRO polling, and rate-limiting patterns
OneLake Data AccessCOMMON-CORE.md § OneLake Data AccessRequires storage.azure.com token, not Fabric token
Job ExecutionCOMMON-CORE.md § Job Execution
Capacity ManagementCOMMON-CORE.md § Capacity Management
Gotchas, Best Practices & TroubleshootingCOMMON-CORE.md § Gotchas, Best Practices & Troubleshooting
Tool Selection RationaleCOMMON-CLI.md § Tool Selection Rationale
Authentication RecipesCOMMON-CLI.md § Authentication Recipesaz login flows and token acquisition
Fabric Control-Plane API via az restCOMMON-CLI.md § Fabric Control-Plane API via az restAlways pass `--resource`; includes pagination and LRO helpers
OneLake Data Access via curlCOMMON-CLI.md § OneLake Data Access via curlUse curl not az rest (different token audience)
SQL / TDS Data-Plane AccessCOMMON-CLI.md § SQL / TDS Data-Plane Accesssqlcmd (Go) connect, query, CSV export
Job Execution (CLI)COMMON-CLI.md § Job Execution
OneLake ShortcutsCOMMON-CLI.md § OneLake Shortcuts
Capacity Management (CLI)COMMON-CLI.md § Capacity Management
Composite RecipesCOMMON-CLI.md § Composite Recipes
Gotchas & Troubleshooting (CLI-Specific)COMMON-CLI.md § Gotchas & Troubleshooting (CLI-Specific)az rest audience, shell escaping, token expiry
Quick ReferenceCOMMON-CLI.md § Quick Referenceaz rest template + token audience/tool matrix
Item-Type Capability MatrixSQLDW-CONSUMPTION-CORE.md § Item-Type Capability MatrixRead first — shows what's read-only (SQLEP) vs read-write (DW)
Connection FundamentalsSQLDW-CONSUMPTION-CORE.md § Connection FundamentalsTDS, port 1433, Entra-only, no MARS
Supported T-SQL Surface Area (Consumption Focus)SQLDW-CONSUMPTION-CORE.md § Supported T-SQL Surface AreaRead before writing T-SQL — includes data types (no nvarchar/datetime/money)
Read-Side Objects You Can CreateSQLDW-CONSUMPTION-CORE.md § Read-Side Objects You Can CreateViews, TVFs, scalar UDFs, procedures
Temporary TablesSQLDW-CONSUMPTION-CORE.md § Temporary TablesUse DISTRIBUTION = ROUND_ROBIN for INSERT INTO SELECT support
Cross-Database QueriesSQLDW-CONSUMPTION-CORE.md § Cross-Database Queries3-part naming, same workspace
Security for ConsumptionSQLDW-CONSUMPTION-CORE.md § Security for ConsumptionGRANT/DENY, RLS, CLS, DDM
Monitoring and DiagnosticsSQLDW-CONSUMPTION-CORE.md § Monitoring and DiagnosticsIncludes query labels; DMVs (live) + queryinsights.* (30-day history)
Performance: Best Practices and TroubleshootingSQLDW-CONSUMPTION-CORE.md § Performance: Best Practices and TroubleshootingStatistics, caching, clustering, query tips
REST API: Refresh SQL Endpoint MetadataSQLDW-CONSUMPTION-CORE.md § REST API: Refresh SQL Endpoint MetadataForce metadata sync when SQLEP data is stale after ETL
System Catalog Queries (Metadata Exploration)SQLDW-CONSUMPTION-CORE.md § System Catalog Queriessys.tables, sys.columns, sys.views, sys.stats
Common Consumption Patterns (End-to-End Examples)SQLDW-CONSUMPTION-CORE.md § Common Consumption PatternsReporting views, cross-DB analytics, temp table staging
Gotchas and Troubleshooting ReferenceSQLDW-CONSUMPTION-CORE.md § Gotchas and Troubleshooting Reference18 numbered issues with cause + resolution
Quick Reference: Consumption Capabilities by ScenarioSQLDW-CONSUMPTION-CORE.md § Quick Reference: Consumption CapabilitiesScenario → approach lookup
Schema and Object Discoverydiscovery-queries.md § Schema and Object DiscoveryTables, columns, views, functions, procedures, cross-DB
Security Discoverydiscovery-queries.md § Security Discovery
Statistics and Performance Metadatadiscovery-queries.md § Statistics and Performance Metadata
Bash — Data Exportscript-templates.md § Bash — Data ExportQuery to CSV + parameterized date range export
Bash — Schema Discovery Reportscript-templates.md § Bash — Schema Discovery Report
Bash — Performance Investigationscript-templates.md § Bash — Performance Investigation
PowerShell Templatesscript-templates.md § PowerShell TemplatesQuery to CSV + schema discovery
Tool StackSKILL.md § Tool Stack
ConnectionSKILL.md § Connection
Agentic Exploration ("Chat With My Data")SKILL.md § Agentic ExplorationStart here for data exploration
Script Generationconsumption-cli-quickref.md § Script GenerationFormatting flags, piped input, parameterized queries
Monitoring and Performanceconsumption-cli-quickref.md § Monitoring and PerformanceActive queries DMV, KILL syntax
Gotchas, Rules, TroubleshootingSKILL.md § Gotchas, Rules, TroubleshootingMUST DO / AVOID / PREFER checklists
Agent Integration Notesconsumption-cli-quickref.md § Agent Integration NotesPer-agent CLI tips

---

Tool Stack

ToolRoleInstall
sqlcmd (Go)Primary: Execute T-SQL. Standalone binary, no ODBC driver, built-in Entra ID auth via DefaultAzureCredential.winget install sqlcmd / brew install sqlcmd / apt-get install sqlcmd
az CLIAuth (az login), token acquisition, Fabric REST for endpoint discovery.Pre-installed in most dev environments
jqParse JSON from az restPre-installed or trivial
Agent check — verify before first SQL operation:
```bash
sqlcmd --version 2>/dev/null || echo "INSTALL: winget install sqlcmd OR brew install sqlcmd"
```

---

Connection

Discover the SQL Endpoint FQDN

Per COMMON-CLI.md Discovering Connection Parameters via REST:

WS_ID="<workspaceId>"
ITEM_ID="<warehouseOrLakehouseId>"

# Warehouse
az rest --method get \
  --resource "https://api.fabric.microsoft.com" \
  --url "https://api.fabric.microsoft.com/v1/workspaces/$WS_ID/warehouses/$ITEM_ID" \
  --query "properties.connectionString" --output tsv

# Lakehouse SQL endpoint
az rest --method get \
  --resource "https://api.fabric.microsoft.com" \
  --url "https://api.fabric.microsoft.com/v1/workspaces/$WS_ID/lakehouses/$ITEM_ID" \
  --query "properties.sqlEndpointProperties.connectionString" --output tsv

Result: <uniqueId>.datawarehouse.fabric.microsoft.com

Connect with sqlcmd (Go)

# Interactive session (Entra login via browser if needed)
sqlcmd -S "<endpoint>.datawarehouse.fabric.microsoft.com" -d "<DatabaseName>" -G

# Non-interactive one-shot query
sqlcmd -S "<endpoint>.datawarehouse.fabric.microsoft.com" -d "<DatabaseName>" -G \
  -Q "SELECT TOP 10 * FROM dbo.FactSales"

# Explicit ActiveDirectoryDefault (uses az login session)
sqlcmd -S "<endpoint>.datawarehouse.fabric.microsoft.com" -d "<DatabaseName>" \
  --authentication-method ActiveDirectoryDefault \
  -Q "SELECT TOP 10 * FROM dbo.FactSales"

# Service principal (CI/CD)
SQLCMDPASSWORD="<clientSecret>" \
sqlcmd -S "<endpoint>.datawarehouse.fabric.microsoft.com" -d "<DatabaseName>" \
  --authentication-method ActiveDirectoryServicePrincipal \
  -U "<appId>" \
  -Q "SELECT COUNT(*) FROM dbo.FactSales"

Reusable Connection Variables

# Set once at script top
FABRIC_SERVER="<endpoint>.datawarehouse.fabric.microsoft.com"
FABRIC_DB="<DatabaseName>"
SQLCMD="sqlcmd -S $FABRIC_SERVER -d $FABRIC_DB -G"

# Use throughout
$SQLCMD -Q "SELECT TOP 5 * FROM dbo.DimProduct"
$SQLCMD -i myscript.sql

PowerShell / Windows CMD

# PowerShell
$s = "<endpoint>.datawarehouse.fabric.microsoft.com"; $db = "<DatabaseName>"
sqlcmd -S $s -d $db -G -Q "SELECT TOP 10 * FROM dbo.FactSales"
# CMD: use set S=... and %S% / %DB% instead of $variables

---

Agentic Exploration ("Chat With My Data")

Schema Discovery Sequence

Run these in order to understand what's in the endpoint. See references/discovery-queries.md for extended discovery queries.

# 1. List schemas
$SQLCMD -Q "SELECT schema_name FROM information_schema.schemata ORDER BY schema_name" -W

# 2. List tables and views
$SQLCMD -Q "SELECT table_schema, table_name, table_type FROM information_schema.tables ORDER BY table_schema, table_name" -W

# 3. Columns for a table
$SQLCMD -Q "SELECT column_name, data_type, character_maximum_length, is_nullable FROM information_schema.columns WHERE table_schema='dbo' AND table_name='FactSales' ORDER BY ordinal_position" -W

# 4. Preview rows
$SQLCMD -Q "SELECT TOP 5 * FROM dbo.FactSales" -W

# 5. Row counts
$SQLCMD -Q "SELECT s.name AS [schema], t.name AS [table], SUM(p.rows) AS row_count FROM sys.tables t JOIN sys.schemas s ON t.schema_id=s.schema_id JOIN sys.partitions p ON t.object_id=p.object_id AND p.index_id IN (0,1) GROUP BY s.name, t.name ORDER BY row_count DESC" -W

# 6. Programmability objects (views, functions, procedures)
$SQLCMD -Q "SELECT name, type_desc FROM sys.objects WHERE type IN ('V','FN','IF','P','TF') ORDER BY type_desc, name" -W

Agentic Workflow

1. Discover → Run Steps 1–3 to understand available tables/columns. 2. SampleSELECT TOP 5 on relevant tables. 3. Formulate → Write T-SQL using SQLDW-CONSUMPTION-CORE.md Supported T-SQL Surface Area. 4. Execute$SQLCMD -Q "...". 5. Iterate → Refine based on results. 6. Present → Show results or generate a reusable script (Script Generation section).

---

Gotchas, Rules, Troubleshooting

For full T-SQL/platform gotchas: SQLDW-CONSUMPTION-CORE.md Gotchas and Troubleshooting Reference and COMMON-CLI.md Gotchas & Troubleshooting (CLI-Specific).

MUST DO

  • Always `-d <DatabaseName>` — FQDN alone is insufficient.
  • Always `-G` or `--authentication-method` — SQL auth not supported on Fabric.
  • `az login` firstActiveDirectoryDefault uses az session. No session → cryptic failure.
  • `SET NOCOUNT ON;` in scripts — suppresses row-count messages that corrupt output.
  • Label queries with OPTION (LABEL = 'AGENTCLI_...') for Query Insights tracing.

AVOID

  • ODBC sqlcmd (/opt/mssql-tools/bin/sqlcmd) — requires ODBC driver. Use Go version.
  • Omitting `-W` in scripts — trailing spaces corrupt CSV.
  • DML on SQLEP — Lakehouse/Mirrored DB endpoints are read-only. DML only on Warehouse.
  • MARS — not supported. Remove MultipleActiveResultSets from connection strings.
  • Hardcoded FQDNs — discover via REST API (Discover the SQL Endpoint FQDN).

PREFER

  • `sqlcmd (Go) -G` over curl+token for SQL queries.
  • `-Q` (non-interactive exit) for agentic use.
  • Piped input for multi-statement batches or queries with quotes.
  • `-i file.sql` for complex queries — avoids shell escaping.
  • `-F vertical` for exploration of wide tables.
  • Env vars (FABRIC_SERVER, FABRIC_DB) for script reuse.
  • `az rest` for Fabric REST API — use sqlcmd only for T-SQL.

TROUBLESHOOTING

SymptomCauseFix
Login failed for user '<token-identified principal>'Wrong DB name or no accessVerify -d matches item name exactly (case-sensitive)
Cannot open serverWrong FQDN or networkRe-discover via REST API; check port 1433
Login timeout expiredPort 1433 blockednc -zv <endpoint> 1433; check firewall/VPN
ActiveDirectoryDefault failureaz login expired or wrong tenantaz login --tenant <tenantId>
Garbled CSV outputMissing -W or wrong -sAdd -W -s"," -w 4000
(N rows affected) in fileNo SET NOCOUNT ONPrepend SET NOCOUNT ON;
Invalid object name 'queryinsights...'New warehouse < 2 min oldWait ~2 minutes
No rows but data existsRLS filteringCheck USER_NAME(), verify RLS policies
sqlcmd not foundGo version not installedwinget install sqlcmd / brew install sqlcmd

Related skills

FAQ

What does sqldw-consumption-cli do?

sqldw-consumption-cli is a Microsoft skills-for-fabric agent skill that compresses how solo builders and small data teams interact with Fabric SQL data warehouse through sqlcmd from bash or PowerShell.

When should I use sqldw-consumption-cli?

When you need to run repeatable sqlcmd scripts against Microsoft Fabric Warehouse with Azure auth, formatted CSV/TSV output, and consumption monitoring queries., or when sqldw-consumption-cli is a microsoft skills-for-fabric agent skill that compresses how solo builders and small

What are the main capabilities?

Documents sqlcmd -G against Fabric warehouse endpoints with FABRIC_SERVER and FABRIC_DB env vars; Output formatting table: -W trim, -s separators, -h-1/-h 1 for CSV-friendly exports; Bash script template with set -euo pipefail, sqlcmd prerequisite check, and az login gate.

Is Sqldw Consumption Cli safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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