eventstream-consumption-cli
Update Check — EINMAL PRO SITZUNG (obligatorisch) Wenn diese Fähigkeit zum ersten Mal in einer Sitzung verwendet wird, führen Sie zuerst die Fähigkeit check-updates aus, bevor Sie fortfahren.
npx skills add https://github.com/microsoft/skills-for-fabric --skill eventstream-consumption-cliUpdate 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-updatesskill.- 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
- To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
- 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
- Eventstream ≠ Eventhouse. Eventstream is a real-time event ingestion and routing pipeline. For KQL queries, use
eventhouse-consumption-cli.
Eventstream Consumption — 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 |
| Listing and Discovering Eventstreams | EVENTSTREAM-CONSUMPTION-CORE.md § Listing and Discovering Eventstreams | List, Get, Search across workspaces |
| Inspecting Eventstream Topology | EVENTSTREAM-CONSUMPTION-CORE.md § Inspecting Eventstream Topology | Decode base64 definition → trace graph flow |
| Monitoring Eventstream Health | EVENTSTREAM-CONSUMPTION-CORE.md § Monitoring Eventstream Health | Retention and throughput checks |
| Source and Destination Status | EVENTSTREAM-CONSUMPTION-CORE.md § Source and Destination Status | Validation checklist for sources and destinations |
| Integration with Downstream Analytics | EVENTSTREAM-CONSUMPTION-CORE.md § Integration with Downstream Analytics | Eventhouse, Lakehouse, Activator, Real-Time Hub |
| Gotchas and Troubleshooting Reference | EVENTSTREAM-CONSUMPTION-CORE.md § Gotchas and Troubleshooting Reference | 10 common issues with causes and fixes |
| List Eventstreams | SKILL.md § List Eventstreams | |
| Inspect Eventstream Topology | SKILL.md § Inspect Eventstream Topology | Decode and explore the graph |
| Get Custom Endpoint Connection String | SKILL.md § Get Custom Endpoint Connection String | Retrieve Kafka/EH connection via Topology API |
| Validate Eventstream Configuration | SKILL.md § Validate Eventstream Configuration | |
| Gotchas, Rules, Troubleshooting | SKILL.md § Gotchas, Rules, Troubleshooting | MUST DO / AVOID / PREFER checklists |
List Eventstreams
List All Eventstreams in a Workspace
az rest --method GET \
--url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams" \
--resource "https://api.fabric.microsoft.com"
Returns an array of Eventstream items. Use JMESPath to filter by name:
az rest --method GET \
--url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams" \
--resource "https://api.fabric.microsoft.com" \
--query "value[?displayName=='my-eventstream']"
Get Eventstream Details
az rest --method GET \
--url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams/${EVENTSTREAM_ID}" \
--resource "https://api.fabric.microsoft.com"
Inspect Eventstream Topology
Tip: The Topology API (
GET .../eventstreams/{id}/topology) returns runtime status, error info, and node IDs without base64 decoding. Prefer it for operational inspection (health checks, connection retrieval). UsePOST .../getDefinition(below) when you need the full authoring-time graph structure for topology modification.
Retrieve the Eventstream definition and decode it to inspect the full graph topology.
Step 1: Get the Definition
API Note: The Eventstream Definition API uses
POST .../getDefinition, notGET .../definition. This follows the Fabric Items Definition pattern. See official docs.
az rest --method POST \
--url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams/${EVENTSTREAM_ID}/getDefinition" \
--resource "https://api.fabric.microsoft.com" \
--body '{}'
Step 2: Decode the Topology
Extract the eventstream.json part's payload field and base64-decode it:
# Using jq + base64 (Linux; on macOS use base64 -D instead of -d)
az rest --method POST \
--url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams/${EVENTSTREAM_ID}/getDefinition" \
--resource "https://api.fabric.microsoft.com" \
--body '{}' \
| jq -r '.definition.parts[] | select(.path=="eventstream.json") | .payload' \
| base64 -d | jq .
# PowerShell (Windows)
$def = az rest --method POST `
--url "https://api.fabric.microsoft.com/v1/workspaces/$WORKSPACE_ID/eventstreams/$EVENTSTREAM_ID/getDefinition" `
--resource "https://api.fabric.microsoft.com" `
--body '{}' | ConvertFrom-Json
$payload = ($def.definition.parts | Where-Object { $_.path -eq 'eventstream.json' }).payload
[Text.Encoding]::UTF8.GetString([Convert]::FromBase64String($payload)) | ConvertFrom-Json | ConvertTo-Json -Depth 10
Step 3: Summarize the Topology
After decoding, count and list each node type:
| Metric | Path in decoded JSON |
|---|---|
| Sources | .sources[] | .name, .type |
| Destinations | .destinations[] | .name, .type |
| Operators | .operators[] | .name, .type |
| Streams | .streams[] | .name, .type |
Get Custom Endpoint Connection String
The POST .../getDefinition endpoint returns empty properties for Custom Endpoint sources. To retrieve the Kafka/Event Hub connection info, use the Topology API /connection endpoint.
Important: This endpoint requires
Eventstream.ReadWrite.Allpermission scope (not just Read).
Step 1: Get the Topology to Find the Source ID
az rest --method GET \
--url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams/${EVENTSTREAM_ID}/topology" \
--resource "https://api.fabric.microsoft.com"
From the response, find the Custom Endpoint source node and extract its id:
# Extract the sourceId for a Custom Endpoint source (use name filter if multiple exist)
SOURCE_ID=$(az rest --method GET \
--url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams/${EVENTSTREAM_ID}/topology" \
--resource "https://api.fabric.microsoft.com" \
| jq -r '[.sources[] | select(.type=="CustomEndpoint")] | if length == 0 then error("No Custom Endpoint sources found in this Eventstream") elif length > 1 then error("Multiple Custom Endpoint sources found — filter by .name") else .[0].id end') \
|| { echo "Failed to resolve Custom Endpoint source ID"; exit 1; }
if [ -z "$SOURCE_ID" ]; then echo "SOURCE_ID is empty — check topology output"; exit 1; fi
# PowerShell — extract sourceId for Custom Endpoint (fails clearly if multiple exist)
$topology = az rest --method GET `
--url "https://api.fabric.microsoft.com/v1/workspaces/$WORKSPACE_ID/eventstreams/$EVENTSTREAM_ID/topology" `
--resource "https://api.fabric.microsoft.com" | ConvertFrom-Json
$customSources = @($topology.sources | Where-Object { $_.type -eq 'CustomEndpoint' })
if ($customSources.Count -eq 0) { throw "No Custom Endpoint sources found in this Eventstream" }
if ($customSources.Count -gt 1) { throw "Multiple Custom Endpoint sources found. Filter by name: $($customSources.name -join ', ')" }
$sourceId = $customSources[0].id
Step 2: Get the Connection Details
⚠️ Security: This endpoint returns access keys and connection strings. Get explicit user confirmation before calling it. Redact
primaryKey,secondaryKey,primaryConnectionString, andsecondaryConnectionStringfrom any displayed output unless the user explicitly asks for secret values in a secure context. Avoid logging raw credentials; store securely and rotate as needed.
az rest --method GET \
--url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams/${EVENTSTREAM_ID}/sources/${SOURCE_ID}/connection" \
--resource "https://api.fabric.microsoft.com"
az rest --method GET `
--url "https://api.fabric.microsoft.com/v1/workspaces/$WORKSPACE_ID/eventstreams/$EVENTSTREAM_ID/sources/$sourceId/connection" `
--resource "https://api.fabric.microsoft.com" | ConvertFrom-Json
Expected Response
{
"fullyQualifiedNamespace": "namespace.servicebus.windows.net",
"eventHubName": "es_<guid>",
"accessKeys": {
"primaryKey": "...",
"secondaryKey": "...",
"primaryConnectionString": "Endpoint=sb://namespace.servicebus.windows.net/;...",
"secondaryConnectionString": "..."
}
}
Kafka Producer Configuration
Use the response to configure a Kafka producer:
| Setting | Value |
|---|---|
bootstrap_servers | {fullyQualifiedNamespace}:9093 |
topic | {eventHubName} |
security_protocol | SASL_SSL |
sasl_mechanism | PLAIN |
sasl_plain_username | $ConnectionString (fixed literal — not a variable) |
sasl_plain_password | {primaryConnectionString} |
Limitation: The
/connectionendpoint is only supported for Custom Endpoint sources (returns Kafka/Event Hub credentials). Other source types (Event Hub, IoT Hub, etc.) store their connection configuration (e.g.,dataConnectionId,consumerGroup) directly in the decoded definition properties.
Validate Eventstream Configuration
Check key configuration aspects of a decoded Eventstream topology:
Source Validation Checklist
| Check | How |
|---|---|
| Source type is API-supported | Compare against 25 known type enums |
| Cloud connection exists | Verify dataConnectionId GUID resolves |
| Consumer group set | Required for Event Hub, IoT Hub, Kafka sources |
| Serialization matches source | inputSerialization.type = Json, Csv, or Avro |
Destination Validation Checklist
| Check | How |
|---|---|
| Destination type is valid | Must be Lakehouse, Eventhouse, Activator, or CustomEndpoint |
| Target item accessible | Verify workspaceId + itemId resolve via GET |
| Input wired | inputNodes array must not be empty |
| Eventhouse direct ingestion | connectionName and mappingRuleName set |
EventstreamProperties Validation
Decode eventstreamProperties.json and check:
retentionTimeInDaysis within 1–90eventThroughputLevelisLow,Medium, orHigh
Gotchas, Rules, Troubleshooting
MUST DO
- Always pass
--resource https://api.fabric.microsoft.comwithaz restcalls - Always use JMESPath filtering to resolve workspace name → ID and item name → ID
- Always base64-decode the definition payload before inspecting topology (not needed for the Topology API — that returns JSON directly)
- For Custom Endpoint connection details, use the Topology API —
POST .../getDefinitionreturns empty properties; callGET .../topologyto get the sourceId, thenGET .../sources/{sourceId}/connection - Use POST for definition endpoints —
POST .../getDefinition(not GET),POST .../updateDefinition(not PUT). See official docs. - Handle pagination — check for
continuationUriin list responses - Poll LRO responses — Get Definition may return
202 Accepted
PREFER
- Decode topology JSON into structured output for readable summaries
- Use
jq(bash) orConvertFrom-Json(PowerShell) for parsing - Validate configurations before reporting issues to users
- Cross-reference destinations with downstream skills (eventhouse, sqldw, spark)
AVOID
- Do NOT confuse Eventstream with Eventhouse — they are separate Fabric workloads
- Do NOT hardcode workspace or item IDs — always discover them via the API
- Do NOT assume all source types appear in API enums — preview sources exist only in the UI
- Do NOT modify Eventstream topology with this consumption skill — use
eventstream-authoring-clifor writes - Do NOT attempt to query event data through the Eventstream API — use downstream skills (eventhouse-consumption-cli, sqldw-consumption-cli) for querying landed data