Principle:Apache Druid Result Analysis

Knowledge Sources	Apache Druid
Domains	SQL_Querying, Data_Visualization
Last Updated	2026-02-10 00:00 GMT

Overview

A query result presentation principle that renders tabular data and MSQ execution stage visualizations for analysis and exploration.

Description

Result Analysis transforms raw query results into interactive visual representations:

• Result Table: For both native and MSQ queries — an interactive table with column sorting, filtering, cell context menus (copy value, add filter, aggregate), pagination, and column type indicators
• Execution Stages: For MSQ queries only — a directed acyclic graph (DAG) visualization showing stage dependencies, input/output row counts, processing rates, timing bars, CPU utilization, and worker counts per stage

The result analysis tools enable users to understand both the data output and the execution characteristics of their queries, facilitating iterative query optimization.

Usage

Use this principle immediately after query execution completes. The result analysis view is shown automatically in the Workbench below the query editor.

Theoretical Basis

Result analysis follows a dual-view presentation pattern:

For native queries:
  QueryResult { columns: Column[], rows: any[][] } → Interactive ReactTable

For MSQ queries:
  Execution { stages: Stage[], result: QueryResult } → Stage graph + Result table

Stage visualization:
  Each stage shows: inputRows, outputRows, duration, workerCount, cpuTime
  Stage dependencies rendered as DAG edges

Related Pages

Implemented By

• Implementation:Apache_Druid_ResultTablePane