search-consumption-cli

작성자: microsoft

업데이트 확인 — 세션당 한 번 (필수) 이 스킬이 세션에서 처음 사용될 때, 진행 전에 check-updates 스킬을 실행하십시오.

npx skills add https://github.com/microsoft/skills-for-fabric --skill search-consumption-cli

Telemetry — MANDATORY. Every api.fabric.microsoft.com call must carry x-ms-fabric-skill: search-consumption-cli (az rest: --headers "x-ms-fabric-skill=search-consumption-cli"), including every LRO poll, fabric_lro and retry. Snippets omit it — add it anyway.

CRITICAL NOTES

  1. The Catalog Search API finds items, not workspaces. To find a workspace by name, use GET /v1/workspaces (see COMMON-CLI.md § Resolve Workspace Properties by Name).
  2. The search text matches against item display name, description, and workspace name.
  3. Dataflow (Gen1) and Dataflow (Gen2) are not supported.

Catalog Search — CLI Skill

Prerequisite Knowledge

Table of Contents

TaskReferenceNotes
Search for an ItemSKILL.md § Search for an ItemBy name, description, or workspace name
List All Items of a TypeSKILL.md § List All Items of a TypeEmpty search + type filter
PaginationSKILL.md § PaginationContinuation token pattern
Agentic WorkflowSKILL.md § Agentic Workflow
ExamplesSKILL.md § Examples
Gotchas and TroubleshootingSKILL.md § Gotchas and Troubleshooting

Must/Prefer/Avoid

MUST DO

PREFER

  • Catalog Search over list-and-filter — single cross-workspace call, no need to resolve workspace first.
  • Type filters — narrow results with "filter": "Type eq 'Lakehouse'" to reduce noise.
  • Empty search with type filter — to list all items of a type across workspaces.
  • jq for extracting IDs from the response — cleaner than JMESPath for nested hierarchy.workspace.

AVOID

  • Searching for workspaces — the Catalog Search API returns items, not workspaces. Use GET /v1/workspaces instead (see COMMON-CLI.md § Resolve Workspace Properties by Name).
  • Querying source data after the workspace/item is known — route to the workload-specific consumption skill (sqldw-cli, spark-cli, eventhouse-cli, or fabriciq) instead of Catalog Search.
  • Inventing filter syntax — only eq, ne, or, and parentheses are supported.
  • Assuming all item types are supported — Dataflow (Gen1) and Dataflow (Gen2) are not returned yet.

Search for an Item

cat > /tmp/body.json << 'EOF'
{"search": "SalesLakehouse", "filter": "Type eq 'Lakehouse'", "pageSize": 10}
EOF
az rest --method post \
  --resource "https://api.fabric.microsoft.com" \
  --url "https://api.fabric.microsoft.com/v1/catalog/search" \
  --body @/tmp/body.json

The search text matches against item display name, description and workspace name. Type filtering is optional. The response includes id, type, displayName, description, and hierarchy.workspace (with id and displayName) for each match.

Extract item and workspace IDs

az rest --method post \
  --resource "https://api.fabric.microsoft.com" \
  --url "https://api.fabric.microsoft.com/v1/catalog/search" \
  --body @/tmp/body.json \
  --query "value[0].{itemId:id, workspaceId:hierarchy.workspace.id, name:displayName}" \
  --output json

Filter Examples

GoalFilter
Only lakehousesType eq 'Lakehouse'
Reports or semantic modelsType eq 'Report' or Type eq 'SemanticModel'
Exclude notebooksType ne 'Notebook'

For the full list of supported item types, see the Catalog Search API reference.


List All Items of a Type

Use an empty search string with a type filter (pageSize max is 1000):

cat > /tmp/body.json << 'EOF'
{"search": "", "filter": "Type eq 'Lakehouse'", "pageSize": 100}
EOF
az rest --method post \
  --resource "https://api.fabric.microsoft.com" \
  --url "https://api.fabric.microsoft.com/v1/catalog/search" \
  --body @/tmp/body.json

Pagination

If the response includes a non-null continuationToken, pass it in the next request:

cat > /tmp/body.json << 'EOF'
{"search": "", "filter": "Type eq 'Lakehouse'", "pageSize": 100, "continuationToken": "<token>"}
EOF
az rest --method post \
  --resource "https://api.fabric.microsoft.com" \
  --url "https://api.fabric.microsoft.com/v1/catalog/search" \
  --body @/tmp/body.json

Continue until continuationToken is null.


Agentic Workflow

  1. Ask — user provides an item name, type, or description keywords.
  2. Search — call Catalog Search with the user's input and optional type filter.
  3. Disambiguate — if multiple matches, present results (name, type, workspace) and ask the user to pick.
  4. Return — provide the search results, include the item id and hierarchy.workspace.id for downstream use.

Examples

Find a specific report

cat > /tmp/body.json << 'EOF'
{"search": "Monthly Sales Revenue", "filter": "Type eq 'Report'", "pageSize": 10}
EOF
az rest --method post \
  --resource "https://api.fabric.microsoft.com" \
  --url "https://api.fabric.microsoft.com/v1/catalog/search" \
  --body @/tmp/body.json \
  --query "value[].{name:displayName, type:type, workspace:hierarchy.workspace.displayName}" \
  --output table

List all semantic models across workspaces

cat > /tmp/body.json << 'EOF'
{"search": "", "filter": "Type eq 'SemanticModel'", "pageSize": 1000}
EOF
az rest --method post \
  --resource "https://api.fabric.microsoft.com" \
  --url "https://api.fabric.microsoft.com/v1/catalog/search" \
  --body @/tmp/body.json

Save search results to file

cat > /tmp/body.json << 'EOF'
{"search": "", "filter": "Type eq 'Lakehouse'", "pageSize": 1000}
EOF
az rest --method post \
  --resource "https://api.fabric.microsoft.com" \
  --url "https://api.fabric.microsoft.com/v1/catalog/search" \
  --body @/tmp/body.json \
  --query "value[].{name:displayName, type:type, workspace:hierarchy.workspace.displayName, id:id}" \
  --output json > /tmp/search_results.json

Gotchas and Troubleshooting

SymptomCauseFix
401 UnauthorizedWrong token audience or expired sessionVerify --resource "https://api.fabric.microsoft.com". Run az login.
InvalidPageSizepageSize outside 1–1000Use a value between 1 and 1000.
InvalidFilterBad filter syntaxOnly eq, ne, or, and parentheses. Don't mix eq with and, or ne with or. Don't mix eq and ne in the same filter.
TypeNotFoundUnrecognized item type in filterCheck spelling (case-sensitive). See API reference for valid types.
FilterTooManyValuesFilter has more than 500 valuesReduce the number of type values in the filter.
InvalidRequestMissing request bodyEnsure --body points to a valid JSON file.
Empty results for known itemItem type not supportedDataflow Gen1/Gen2 are excluded. Use GET /v1/workspaces/{id}/items instead.
New item not foundCatalog index propagation delayIndexing lag is variable and not yet near-real-time — usually minutes, but not guaranteed. A just-created item may not appear in search results yet; verify it exists via GET /v1/workspaces/{id}/items instead.
Too many resultsSearch text too broadAdd a type filter or use more specific search text.

microsoft의 다른 스킬

oss-growth
microsoft
OSS 성장 해커 페르소나
agent-framework-azure-ai-py
microsoft
Microsoft Agent Framework Python SDK(agent-framework-azure-ai)를 사용하여 Azure AI Foundry 에이전트를 구축합니다. AzureAIAgentsProvider로 지속적 에이전트를 만들 때, 호스팅 도구(코드 인터프리터, 파일 검색, 웹 검색)를 사용할 때, MCP 서버를 통합할 때, 대화 스레드를 관리할 때, 또는 스트리밍 응답을 구현할 때 사용합니다. 함수 도구, 구조화된 출력, 다중 도구 에이전트를 다룹니다.
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Azure Application Insights로 웹앱을 계측하기 위한 지침입니다. 원격 분석 패턴, SDK 설정, 구성 참조를 제공합니다. WHEN: 앱 계측 방법, App Insights SDK, 원격 분석 패턴, App Insights란 무엇인가, Application Insights 지침, 계측 예시, APM 모범 사례.
devops
applicationinsights-web-ts
microsoft
브라우저/웹 앱을 Application Insights JavaScript SDK(@microsoft/applicationinsights-web)로 계측합니다. Real User Monitoring(RUM) — 페이지 뷰, 클릭, AJAX/fetch 종속성, 예외, 사용자 지정 이벤트, 백엔드 OpenTelemetry 트레이스와 상관관계가 있는 브라우저 측 GenAI 에이전트 트레이스에 사용합니다. SDK Loader Script 및 npm 설정, 프레임워크 확장(React, React Native, Angular), Click Analytics, 텔레메트리 이니셜라이저, 브라우저에서 생성된 에이전트/도구/모델 스팬에 대한 OTel GenAI 의미론적 규칙을 다룹니다.
devops
azure-ai-anomalydetector-java
microsoft
Azure AI Anomaly Detector SDK for Java로 이상 탐지 애플리케이션을 구축하세요. 단변량/다변량 이상 탐지, 시계열 분석 또는 AI 기반 모니터링을 구현할 때 사용하세요.
development
azure-ai-language-conversations-py
microsoft
azure-ai-language-conversations Python SDK를 사용하여 대화형 언어 이해(CLU)를 구현합니다. ConversationAnalysisClient로 대화 의도와 엔터티를 분석하거나, NLP 기능을 구축하거나, 애플리케이션에 언어 이해를 통합할 때 사용합니다.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. ML 작업 영역, 작업, 모델, 데이터 세트, 컴퓨팅 및 파이프라인에 사용합니다. 트리거: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development