sqldw-authoring-cli

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 Authoring — CLI Skill

Table of Contents

Tool Stack

Agent check — verify before first operation:

sqlcmd --version 2>/dev/null || echo "INSTALL: winget install sqlcmd OR brew install sqlcmd"

Authoring Scope by Item Type

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)

# Non-interactive one-shot query
sqlcmd -S "<endpoint>.datawarehouse.fabric.microsoft.com" -d "<DatabaseName>" -G \
  -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

$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 Workflows

Schema Discovery Before Authoring

Before any write operation, discover the target schema:

# 1. List tables
$SQLCMD -Q "SELECT table_schema, table_name FROM information_schema.tables ORDER BY 1,2" -W
 
# 2. Check columns
$SQLCMD -Q "SELECT column_name, data_type, is_nullable FROM information_schema.columns WHERE table_name='FactSales' ORDER BY ordinal_position" -W
 
# 3. Sample data
$SQLCMD -Q "SELECT TOP 5 * FROM dbo.FactSales" -W
 
# 4. Check constraints
$SQLCMD -Q "SELECT constraint_name, constraint_type FROM information_schema.table_constraints WHERE table_name='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
$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 1–4 to understand available tables/columns.
2. Sample → SELECT TOP 5 on relevant tables.
3. Formulate → Select pattern from SQLDW-AUTHORING-CORE.md (Table DDL through Common Authoring Patterns).
4. Execute → $SQLCMD -Q "..." or $SQLCMD -i file.sql for multi-statement.
5. Verify → Query affected table (SELECT COUNT(*), SELECT TOP 5).
6. Optionally script → Generate reusable .sh or .ps1 using references/authoring-script-templates.md.

Gotchas, Rules, Troubleshooting

For full authoring gotchas: SQLDW-AUTHORING-CORE.md Authoring Gotchas and Troubleshooting. For CLI-specific issues: COMMON-CLI.md Gotchas & Troubleshooting (CLI-Specific).

MUST DO

• Verify workspace has capacity before creating warehouse — call GET /v1/workspaces/{id} and check capacityId.
• Always -d <DatabaseName> — FQDN alone is insufficient.
• Always -G or --authentication-method — SQL auth not supported on Fabric.
• az login first — ActiveDirectoryDefault uses az session. No session → cryptic failure.
• SET NOCOUNT ON; in scripts — suppresses row-count messages that corrupt output.
• Use -i file.sql for multi-statement batches (CREATE PROCEDURE, transactions with GO separators).
• Label authoring queries with OPTION (LABEL = 'ETL_description').
• Use explicit CAST() in CTAS to control output types.
• Keep transactions short — long transactions increase conflict window.

AVOID

• ODBC sqlcmd (/opt/mssql-tools/bin/sqlcmd) — requires ODBC driver. Use Go version.
• Omitting -W in scripts — trailing spaces corrupt CSV.
• Singleton INSERT ... VALUES at scale — creates tiny Parquet files. Use INSERT...SELECT, CTAS, or COPY INTO.
• DROP TABLE IF EXISTS + CREATE TABLE to refresh — loses time-travel history. Use TRUNCATE TABLE + INSERT INTO.
• MERGE in production — preview, table-level conflict detection. Use DELETE + INSERT.
• ALTER COLUMN — not supported. Use CTAS workaround (Schema Evolution).
• Variables in CTAS — not allowed. Wrap in dynamic SQL: EXEC sp_executesql N'CREATE TABLE ...'.
• DML on Lakehouse/Mirrored DB SQLEP — read-only for table data. Only views/funcs/procs can be authored.
• Concurrent UPDATE/DELETE on same table — snapshot isolation conflicts at table level. Serialize writes.
• Hardcoded FQDNs — discover via REST API (Connection section).
• MARS — not supported. Remove MultipleActiveResultSets from connection strings.

PREFER

• CTAS over CREATE TABLE + INSERT — parallel, single-operation.
• INSERT ... SELECT over singleton INSERTs.
• COPY INTO for external file ingestion — highest throughput.
• DELETE + INSERT over MERGE for upserts in production.
• TRUNCATE TABLE over DELETE FROM without WHERE — faster, preserves history.
• -i file.sql over -Q "..." for anything beyond simple one-liners.
• Piped here-doc for multi-statement batches without GO requirements.
• CTAS + sp_rename for large-scale transforms instead of UPDATE.
• sqlcmd (Go) -G over curl+token for SQL queries.
• -Q (non-interactive exit) for agentic use.
• -F vertical for exploration of wide tables.
• Env vars (FABRIC_SERVER, FABRIC_DB) for script reuse.

TROUBLESHOOTING