Understand the error table before querying it
Check the table structure first when an unfamiliar error dataset makes query writing uncertain.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Get Table Schema
Get detailed schema information for a specific table including column definitions, types, keys, and optionally sample data. this is essential for ai agents to understand table structure before constructing queries.
Why this helps
Guessing column names and types wastes focus and can lead to unhelpful queries.
- See column definitions and types before writing a query.
- Avoid repeated schema guessing during analysis.
- Get a targeted view of a specific table when needed.
Setup
Build it in a few focused steps.
- 1Connect Bugsnag and ClickHouse to Notis once through the portal.
- 2Create the automation in the portal or tell Notis what you want conversationally.
- 3Write one plain-language instruction asking Notis to retrieve a specified ClickHouse table schema when your external process sends a request.
- 4Choose an incoming webhook trigger and a run-report channel.
- 5Test using a real table name and confirm the returned definition is relevant.
Questions about this workflow
Does this workflow execute a SQL query?
No. It retrieves a detailed schema for a specified ClickHouse table.
Where does the table name come from?
Your prompt or the webhook context should identify a real table that exists in your ClickHouse database.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Bugsnag to ClickHouse. A trigger fires from one place; an action lands in another.
Bugsnag triggers
ClickHouse actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Execute ClickHouse Query
Execute a sql query in clickhouse and return the results. this is the primary action for querying data from clickhouse databases.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Get Database Schema
Get comprehensive schema overview of an entire database including all tables and optionally their column definitions. essential for ai agents to understand the complete database structure in a single call.
Get Table Schema
Get detailed schema information for a specific table including column definitions, types, keys, and optionally sample data. this is essential for ai agents to understand table structure before constructing queries.
List ClickHouse Databases
List all databases in the clickhouse instance. useful for discovering available databases before querying tables.
List ClickHouse Tables
List tables in clickhouse databases. returns information about tables including their engine, size, and row count.
Connect any two apps with Notis in the middle.
Bugsnag and ClickHouse, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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