• DRIFT
  • SCHEMA
  • LOGIC
  • HUMAN

How to debug streaming pipelines with your AI

Connect your AI to RisingWave to inspect live data flows and verify aggregate accuracy. Once connected, your agent handles the heavy lifting of querying schema and state.

Ask AI about this page

Short answer

How can I use AI to debug my RisingWave pipelines?

Your AI client uses specific tools to list your sources and materialized views, then runs SQL queries to compare raw data against your aggregates. This lets you spot drift or logic errors in your real-time calculations immediately. You'll see exactly where the math breaks down.

Where every issue lands.

Debugging outcomes

Your AI categorizes findings based on what it finds in your RisingWave instance.

DRIFT

Aggregate mismatch

The AI compares source data to your materialized views. You get a report on where the real-time totals deviate from the raw input.

SCHEMA

Structure errors

The agent checks your sources and views to ensure the types and columns match your expectations. It flags missing fields or type mismatches.

LOGIC

Query validation

Your AI runs test SQL to verify that your windowing or join logic produces the expected results. It identifies faulty aggregation logic.

HUMAN

Manual intervention

When the AI finds a logic error it can't fix, it hands you the specific SQL needed to repair the view. You decide how to apply the fix.

The workflow

What your AI does when the request arrives.

The AI moves from discovery to deep inspection using your RisingWave tools.

  1. Map the pipeline

    The agent identifies all active data inputs and the views built on top of them to understand the data flow.

    list_sourceslist_materialized_views

  2. Inspect raw data

    It pulls samples from your sources to establish a baseline for what the data actually looks like.

    execute_sql

  3. Verify aggregates

    The AI runs specific queries against your materialized views to check if the math holds up against the source data.

    execute_sql

  4. Report discrepancies

    The agent summarizes any differences found between the source and the view, highlighting specific rows or values that are off.

    execute_sql

Try it

Copy these to start.

Use these prompts to begin your debugging session.

Starting points

These are starting points. Swap out the specific view or source names for your own.

RisingWave Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_POZ197YoiA8LB1iU15GyiwF0QcgyMosQUQ2XSBMS/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — RisingWave capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "risingwave-streaming-database-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_POZ197YoiA8LB1iU15GyiwF0QcgyMosQUQ2XSBMS/mcp"
    }
  }
}
Copy into chat04

  • List all my materialized views and tell me which ones are for real-time analytics.

  • Check the 'user_activity_counts' materialized view against the 'web_events' source to see if the totals match.

  • Run a query to find any null values in my 'sensor_data' source.

  • Compare the aggregate sum in my 'daily_sales' view with the raw data in my 'transactions' source.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect RisingWave once, then ask.

Just link your instance once. Your credentials stay encrypted, and you can immediately start asking your AI to query your data.

Connect RisingWave to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my materialized view definitions?

    No. The AI can only read schema and execute queries. You must manually update your DDL statements.

  • 02

    Can the AI delete my data sources?

    No. The tools provided only allow for listing and querying. The AI cannot perform any destructive actions.

  • 03

    Does the AI see all my data?

    The AI can only see the data you allow it to access via the SQL queries you prompt it to run.

  • 04

    How does it know if an aggregate is wrong?

    It uses the execute_sql tool to run a comparison query between the source data and the materialized view results.

  • 05

    Can I use this to fix my pipeline automatically?

    No. The AI identifies the errors and suggests the SQL to fix them, but you have to run the actual fix yourself.

  • More questions about RisingWave? See everything the RisingWave Connector can do

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