eventstream-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
3. Eventstream ≠ Eventhouse. Eventstream is a real-time event ingestion and routing pipeline. For KQL database operations, use eventhouse-authoring-cli or eventhouse-consumption-cli.

Eventstream Authoring — CLI Skill

Table of Contents

Task	Reference	Notes
Finding Workspaces and Items in Fabric	COMMON-CLI.md § Finding Workspaces and Items in Fabric	Mandatory — READ link first [needed for finding workspace id by its name or item id by its name, item type, and workspace id]
Fabric Topology & Key Concepts	COMMON-CORE.md § Fabric Topology & Key Concepts
Environment URLs	COMMON-CORE.md § Environment URLs
Authentication & Token Acquisition	COMMON-CORE.md § Authentication & Token Acquisition	Wrong audience = 401; read before any auth issue
Core Control-Plane REST APIs	COMMON-CORE.md § Core Control-Plane REST APIs	Includes pagination, LRO polling, and rate-limiting patterns
Gotchas, Best Practices & Troubleshooting	COMMON-CORE.md § Gotchas, Best Practices & Troubleshooting
Tool Selection Rationale	COMMON-CLI.md § Tool Selection Rationale
Authentication Recipes	COMMON-CLI.md § Authentication Recipes	az login flows and token acquisition
Fabric Control-Plane API via az rest	COMMON-CLI.md § Fabric Control-Plane API via az rest	Always pass --resource; includes pagination and LRO helpers
Gotchas & Troubleshooting (CLI-Specific)	COMMON-CLI.md § Gotchas & Troubleshooting (CLI-Specific)	az rest audience, shell escaping, token expiry
Quick Reference	COMMON-CLI.md § Quick Reference	az rest template + token audience/tool matrix
Eventstream Resource Model	EVENTSTREAM-AUTHORING-CORE.md § Eventstream Resource Model	Read first — graph-based topology with sources, operators, streams, destinations
Source Configuration	EVENTSTREAM-AUTHORING-CORE.md § Source Configuration	25 API-supported source types with per-source properties
Transformation Operators	EVENTSTREAM-AUTHORING-CORE.md § Transformation Operators	8 operator types: Filter, Aggregate, GroupBy, Join, ManageFields, Union, Expand, SQL
Destination Configuration	EVENTSTREAM-AUTHORING-CORE.md § Destination Configuration	4 API-supported destination types with node schema
Stream Types	EVENTSTREAM-AUTHORING-CORE.md § Stream Types	DefaultStream (auto) and DerivedStream (from operators)
Eventstream Lifecycle (REST API)	EVENTSTREAM-AUTHORING-CORE.md § Eventstream Lifecycle (REST API)	CRUD + Definition endpoints
Item Definitions and Deployment	EVENTSTREAM-AUTHORING-CORE.md § Item Definitions and Deployment	Base64 encoding pattern for eventstream.json
Gotchas and Limitations	EVENTSTREAM-AUTHORING-CORE.md § Gotchas and Limitations	Max 11 custom endpoints, base64 encoding, naming constraints
Create an Eventstream	SKILL.md § Create an Eventstream
Deploy Full Topology	SKILL.md § Deploy Full Topology	End-to-end: build topology JSON → base64 encode → submit definition
Update Eventstream Topology	SKILL.md § Update Eventstream Topology
Delete an Eventstream	SKILL.md § Delete an Eventstream
Gotchas, Rules, Troubleshooting	SKILL.md § Gotchas, Rules, Troubleshooting	MUST DO / AVOID / PREFER checklists

---

Create an Eventstream

Create an empty Eventstream item, then configure it with sources, destinations, and operators via the definition API.

Step 1: Create the Item

az rest --method POST \
  --url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams" \
  --resource "https://api.fabric.microsoft.com" \
  --headers "Content-Type=application/json" \
  --body '{"displayName": "my-eventstream", "description": "IoT sensor pipeline"}'

Save the returned id as EVENTSTREAM_ID.

Step 2: Build the Topology

Construct the eventstream.json topology with sources, streams, operators, and destinations. Each node references its upstream via inputNodes.

Prefer building the JSON programmatically to avoid serialization errors. Key rules:

• The topology must have exactly one DefaultStream — all sources feed into it via inputNodes
• Operators reference their input via inputNodes[].name
• DerivedStreams require inputSerialization in properties
• Destinations reference their input stream or operator

Step 3: Deploy the Definition

Base64-encode the topology JSON and submit via the definition API. See Item Definitions and Deployment for the full payload structure.

---

Deploy Full Topology

For deploying a complete Eventstream with topology in a single API call, use the Create Item with Definition endpoint:

# 1. Build eventstream.json content (topology)
TOPOLOGY_JSON='{"compatibilityLevel":"1.1","sources":[...],"streams":[...],"operators":[...],"destinations":[...]}'

# 2. Build eventstreamProperties.json (optional — controls retention and throughput)
PROPERTIES_JSON='{"retentionTimeInDays":1,"eventThroughputLevel":"Low"}'

# 3. Base64-encode both (no line wraps)
TOPOLOGY_B64=$(echo -n "$TOPOLOGY_JSON" | base64 -w 0)
PROPERTIES_B64=$(echo -n "$PROPERTIES_JSON" | base64 -w 0)

# 4. Submit via Items API
az rest --method POST \
  --url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/items" \
  --resource "https://api.fabric.microsoft.com" \
  --headers "Content-Type=application/json" \
  --body "{
    \"displayName\": \"my-eventstream\",
    \"type\": \"Eventstream\",
    \"definition\": {
      \"parts\": [
        {
          \"path\": \"eventstream.json\",
          \"payload\": \"${TOPOLOGY_B64}\",
          \"payloadType\": \"InlineBase64\"
        },
        {
          \"path\": \"eventstreamProperties.json\",
          \"payload\": \"${PROPERTIES_B64}\",
          \"payloadType\": \"InlineBase64\"
        }
      ]
    }
  }"

Note: If eventstreamProperties.json is omitted, the API applies defaults: retentionTimeInDays: 1, eventThroughputLevel: "Low". Include it explicitly to control retention (1–90 days) and throughput.

On Windows (PowerShell), use [Convert]::ToBase64String([Text.Encoding]::UTF8.GetBytes($json)) for base64 encoding.

---

Update Eventstream Topology

1. Get current definition: POST /v1/workspaces/{wsId}/eventstreams/{esId}/getDefinition
2. Decode the eventstream.json payload from base64
3. Modify the topology (add/remove/update nodes)
4. Re-encode to base64
5. Submit: POST /v1/workspaces/{wsId}/eventstreams/{esId}/updateDefinition

API Note: The Eventstream Definition APIs use POST with action verbs (getDefinition, updateDefinition), not GET/PUT on a /definition resource. This follows the Fabric Items Definition pattern. See official docs.

The Update Definition API returns 202 Accepted for long-running operations. Poll the Location header URL until completion.

Adding a Filter Operator

⚠️ CRITICAL: Filter operator conditions use nested objects for column and value — NOT bare strings. Using "column": "temperature" instead of the object form below will cause a silent API rejection.

{
  "name": "FilterHighTemp",
  "type": "Filter",
  "inputNodes": [{"name": "my-stream"}],
  "properties": {
    "conditions": [{
      "column": {
        "node": null,
        "columnName": "temperature",
        "columnPath": null,
        "expressionType": "ColumnReference"
      },
      "operatorType": "GreaterThan",
      "value": {
        "dataType": "Float",
        "value": "30.0",
        "expressionType": "Literal"
      }
    }]
  }
}

Required structure for ALL operator condition fields:

• column → object with {node, columnName, columnPath, expressionType: "ColumnReference"}
• value → object with {dataType, value, expressionType: "Literal"}
• operatorType → string: GreaterThan, LessThan, Equals, NotEquals, GreaterThanOrEqual, LessThanOrEqual
• dataType → Float, Int, Long, String, DateTime

This same nested-object pattern applies to all operators that reference columns (Filter, Aggregate, GroupBy, Join, ManageFields).

---

Delete an Eventstream

az rest --method DELETE \
  --url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams/${EVENTSTREAM_ID}" \
  --resource "https://api.fabric.microsoft.com"

Returns 200 OK on success.

---

Gotchas, Rules, Troubleshooting

MUST DO

• Always base64-encode the eventstream.json payload before submitting definitions
• Always pass --resource https://api.fabric.microsoft.com with az rest calls
• Always use JMESPath filtering to resolve workspace name → ID and item name → ID
• Always use nested objects for operator column/value references — "column": {"columnName": "x", "expressionType": "ColumnReference", ...}, never "column": "x" (API rejects bare strings silently)
• Exactly one DefaultStream per topology — all sources connect to it (the API rejects multiple DefaultStreams)
• Poll LRO responses — Update Definition returns 202 Accepted with a Location header

PREFER

• Build topology JSON programmatically rather than manual string construction
• Use SampleData source type for testing and prototyping
• Set retentionTimeInDays explicitly rather than relying on defaults
• Validate cloud connections before referencing them in source configurations
• Use DerivedStreams to make operator output available in Real-Time Hub

AVOID

• Do NOT use raw JSON in the definition payload — it must be base64-encoded
• Do NOT use underscores or dots in Eventstream display names (breaks SQL operator)
• Do NOT use hyphens, underscores, dots, or spaces in user-defined topology node names (sources, operators, DerivedStreams, destinations) — only alphanumeric PascalCase is allowed (e.g., use FilterTemperature not filter-temperature or filter_temperature). Exception: DefaultStream names are auto-generated by the platform as {eventstreamName}-stream and may contain hyphens — do not rename them
• Do NOT exceed 11 combined CustomEndpoint sources and CustomEndpoint/Eventhouse-direct-ingestion destinations
• Do NOT confuse Eventstream with Eventhouse — they are separate Fabric workloads
• Do NOT hardcode workspace or item IDs — always discover them via the API