Imported from Takas0522/nexus6-se-workshop (.github/fabric-skills/skills/eventstream-consumption-cli/SKILL.md). Install upstream with npx skills add Takas0522/nexus6-se-workshop --skill eventstream-consumption-cli. Copyright stays with the author.

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 queries, use eventhouse-consumption-cli.

Eventstream Consumption — CLI Skill

Table of Contents

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

Retrieve the Eventstream definition and decode it to inspect the full graph topology.

Step 1: Get the Definition

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

Step 2: Decode the Topology

Extract the eventstream.json part's payload field and base64-decode it:

# Using jq + base64 (Linux/macOS)
az rest --method GET \
  --url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams/${EVENTSTREAM_ID}/definition" \
  --resource "https://api.fabric.microsoft.com" \
  | jq -r '.definition.parts[] | select(.path=="eventstream.json") | .payload' \
  | base64 -d | jq .

# PowerShell (Windows)
$def = az rest --method GET `
  --url "https://api.fabric.microsoft.com/v1/workspaces/$WORKSPACE_ID/eventstreams/$EVENTSTREAM_ID/definition" `
  --resource "https://api.fabric.microsoft.com" | 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:

Validate Eventstream Configuration

Check key configuration aspects of a decoded Eventstream topology:

Source Validation Checklist

Destination Validation Checklist

EventstreamProperties Validation

Decode eventstreamProperties.json and check:

• retentionTimeInDays is within 1–90
• eventThroughputLevel is Low, Medium, or High

Gotchas, Rules, Troubleshooting

MUST DO

• 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 base64-decode the definition payload before inspecting topology
• Handle pagination — check for continuationUri in list responses
• Poll LRO responses — Get Definition may return 202 Accepted

PREFER

• Decode topology JSON into structured output for readable summaries
• Use jq (bash) or ConvertFrom-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-cli for 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