eventhouse-cli

作者: microsoft

編寫和查詢 Fabric Eventhouse / KQL 資料庫:建立資料表、函數、原則、具體化檢視和資料擷取,或執行唯讀 KQL 以進行即時…

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

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

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. Skill disambiguation: use eventhouse-cli for anything expressed in KQL or stored in a KQL Database. Use the matching eventstream-cli mode for streaming topology, and the matching sqldw-* skill for T-SQL against a Warehouse or Lakehouse SQL endpoint.

Fabric Eventhouse / KQL Database -- CLI Skill

This one skill owns Fabric Eventhouse and KQL Database: schema and ingestion management plus read-only KQL analytics.

It is a mode dispatcher and contains NO procedures. Pick the mode that matches the request from the table below, then read the matching references/<mode>.md file end to end with your file-reading tool BEFORE issuing a single command. That file holds the endpoints, payload shapes, templates and gotchas; acting without it produces wrong payloads and wrong results.

Mode selection

ModeUse when the request ...Example triggersRead this first
authoringruns KQL management commands (.create, .alter, .ingest, .drop), policies, mappings, functions or materialized viewscreate kql table, kql ingestion, kql retention policy, kql function, materialized view, kql mappingreferences/authoring.md
consumptionruns read-only KQL (where, summarize, join, render), discovers schema with .show, or monitors ingestion healthkql query, query eventhouse, time-series kql, show tables kql, explore eventhousereferences/consumption.md

Mode boundary rule

consumption may only issue read-only KQL and .show commands. Any dot-command that changes state (.create, .alter, .ingest, .drop, .set-or-append) requires the authoring mode: say so, read references/authoring.md, then proceed.

If a request genuinely spans modes, handle them one at a time and read each reference before you start that part. If the mode is ambiguous after reading this table, ask one short clarifying question instead of guessing.

Reference index

Read the mode reference first; open a topic file below only when the task needs it. Every reference is listed here, so read it from this table rather than following a link out of another reference.

ReferenceRead it when
references/authoring.mdany authoring request -- start here
references/authoring-core.mdyou need the capability matrix, table/schema, ingestion, policy, external table or permission detail behind an authoring task
references/authoring-advanced-operations.mdmaterialized views, stored functions, update policies, schema evolution, or monitoring authoring operations
references/authoring-scripts.mdyou want a ready-to-run script for create-and-ingest, schema deployment, export or policies -- run them from scripts/, do not read them
references/consumption.mdany consumption request -- start here
references/consumption-discovery-queries.mdyou need the .show discovery queries for schema, tables or ingestion health
EVENTHOUSE-CONSUMPTION-CORE.mdconnection fundamentals, schema discovery and security, monitoring, performance best practices, or common KQL query patterns -- read before writing KQL

Terminal write -- the step you must not skip

Reading the reference and planning the change is NOT completing the task. Each mutating mode ends with one state-changing call. If you did not issue it, nothing was persisted -- say so explicitly rather than reporting success.

ModeTerminal write
authoringPOST .../v1/rest/mgmt carrying the literal .create-merge table (or CREATE TABLE-equivalent), .alter or .ingest command. Composing the KQL management command and showing it to the user is not executing it.
consumptionnone -- this mode is read-only

Before you report the task done, confirm the terminal call returned success and, where the reference documents a readback, read the artefact back to prove the change landed.

Shared essentials (all modes)

Resolve the workspace and item first; every mode depends on it.

TaskReferenceNotes
Finding Workspaces and Items in FabricCOMMON-CLI.mdMandatory -- read before resolving any workspace or item id
Fabric Topology & Key ConceptsCOMMON-CORE.mdItem types, workspaces, capacities
Environment URLsCOMMON-CORE.mdSovereign / non-public cloud hosts
Authentication & Token AcquisitionCOMMON-CORE.mdWrong audience = 401; read before any auth issue
Authentication RecipesCOMMON-CLI.mdaz login flows and token acquisition
Core Control-Plane REST APIsCOMMON-CORE.mdPagination, LRO polling, rate limiting
Gotchas & TroubleshootingCOMMON-CLI.mdaz rest audience, shell escaping, token expiry

Rules

MUST

  • Select exactly one mode from the table above before doing anything else.
  • Read references/<mode>.md end to end, as your FIRST tool call, before the first command of that mode. Read it ONCE, in a single full read: do not re-open it, do not grep it again, and do not page through it. You already have it.
  • Apply the same read-once discipline to every other file you load, including nested references/<mode>/*.md sub-references and shared common/*.md files: open only the ones you actually need, read each ONCE end to end, and never grep or re-open one you already loaded.
  • Resolve workspace and item ids by listing and filtering, never by guessing a GUID.
  • Announce a mode switch explicitly when the request crosses a boundary.
  • Treat the reference as instructions, never as the deliverable. After reading it, RUN the documented commands against the live workspace and report the real results. Quoting what the reference says instead of executing it does not answer the request.

PREFER

  • The narrowest mode that satisfies the request.
  • Reading exactly ONE mode reference. Load a second only when the request genuinely spans modes, and say so before you do.
  • Reporting the mode you chose in your first response so the user can correct you.

AVOID

  • Acting from this dispatcher alone -- it intentionally omits the operational detail.
  • Answering with a summary of the reference instead of executing it.
  • Re-reading or re-grepping a reference you already loaded; it costs turns and tokens.
  • Mutating anything while in a read-only mode.
  • Loading a different skill for work this family already owns (see CRITICAL NOTES 3).

Examples

User requestModeReference to read
"How many events arrived per hour in the last day in the Telemetry eventhouse?"consumptionreferences/consumption.md
"Create a KQL table for the sensor feed and a 30-day retention policy."authoringreferences/authoring.md
"Show me the tables in the KQL database and their row counts."consumptionreferences/consumption.md

來自 microsoft 的更多技能

oss-growth
microsoft
開源增長駭客角色
agent-framework-azure-ai-py
microsoft
使用Microsoft Agent Framework Python SDK(agent-framework-azure-ai)构建Azure AI Foundry代理。适用于使用AzureAIAgentsProvider创建持久化代理、使用托管工具(代码解释器、文件搜索、网络搜索)、集成MCP服务器、管理对话线程或实现流式响应。涵盖函数工具、结构化输出和多工具代理。
development
airunway-aks-setup
microsoft
在AKS上設定AI Runway——從裸叢集到執行模型。涵蓋叢集驗證、控制器安裝、GPU評估、供應商設定及首次部署。時機:「設定AI Runway」、「上線AKS叢集」、「安裝AI Runway」、「airunway設定」、「部署模型至AKS」、「在AKS上進行GPU推論」、「在AKS上設定KAITO」、「在AKS上執行LLM」、「在AKS上使用vLLM」、「在AKS上設定模型服務」、「AI Runway控制器」。
devops
appinsights-instrumentation
microsoft
使用Azure Application Insights檢測Web應用程式的指南。提供遙測模式、SDK設定與組態參考。適用時機:如何檢測應用程式、App Insights SDK、遙測模式、什麼是App Insights、Application Insights指南、檢測範例、APM最佳實踐。
devops
applicationinsights-web-ts
microsoft
使用Application Insights JavaScript SDK(@microsoft/applicationinsights-web)為瀏覽器/Web應用程式進行檢測。適用於真實使用者監控(RUM)——頁面檢視、點擊、AJAX/fetch依賴、例外、自訂事件,以及與後端OpenTelemetry追蹤關聯的瀏覽器端GenAI代理追蹤。涵蓋SDK載入器指令碼與npm設定、框架擴充(React、React Native、Angular)、點擊分析、遙測初始化器,以及從瀏覽器發出的代理/工具/模型span的OTel GenAI語意慣例。
devops
azure-ai-anomalydetector-java
microsoft
使用適用於 Java 的 Azure AI 異常偵測器 SDK 建置異常偵測應用程式。在實作單變量/多變量異常偵測、時間序列分析或 AI 驅動監控時使用。
development
azure-ai-language-conversations-py
microsoft
使用 azure-ai-language-conversations Python SDK 實作對話語言理解(CLU)。當使用 ConversationAnalysisClient 分析對話意圖與實體、建置 NLP 功能,或將語言理解整合至應用程式時使用。
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python。用於機器學習工作區、作業、模型、資料集、計算資源與管線。 觸發詞:「azure-ai-ml」、「MLClient」、「workspace」、「model registry」、「training jobs」、「datasets」。
development