eventhouse-consumption-cli

You can run read-only KQL queries on a Microsoft Fabric Eventhouse from the command line by using the Azure CLI (`az rest`) to authenticate and interact directly with the Kusto REST API for real-time analytics.

Yes, you can discover table schemas, functions, materialized views, policies, and ingestion mappings in a KQL Database without portal navigation by executing native KQL discovery commands directly through your CLI interface.

To execute KQL queries against a Fabric Eventhouse using Azure CLI, you need the `az rest` command, `jq` for processing JSON, and valid Microsoft Fabric workspace and KQL Database permissions to authorize Kusto REST API interactions.

You can monitor ingestion failures and active queries in a Fabric Eventhouse by running diagnostic KQL commands via your CLI to track recent command history and troubleshoot data freshness or performance issues efficiently.

Yes, this CLI approach supports exporting KQL time-series query results to JSON, allowing data analysts to run aggregations using where, summarize, join, and render operators, and save the outputs directly for reporting workflows.

The best way to troubleshoot data freshness issues in a KQL Database via CLI is to run read-only diagnostic queries to track recent command history, monitor active queries, and identify ingestion failures through the Kusto REST API.