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Implementation:Apache Druid SampleForFilter

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Knowledge Sources
Domains Data_Ingestion, Data_Filtering
Last Updated 2026-02-10 00:00 GMT

Overview

Concrete sampler API client function for previewing row-level filter application on sample data during ingestion.

Description

The sampleForFilter function applies user-defined ingestion filters to cached sample data. Similar to sampleForTransform, it performs a two-phase operation when transforms exist: first auto-detecting base dimensions, then combining them with transform columns to build the correct dimensionsSpec before applying the filter. The result shows only rows that pass the filter condition.

Usage

Call this function after data transformation when the user has defined filter conditions. The function returns the filtered subset of sample data for user verification.

Code Reference

Source Location

  • Repository: Apache Druid
  • File: web-console/src/utils/sampler.ts
  • Lines: L540-L607

Signature

export async function sampleForFilter(
  spec: Partial<IngestionSpec>,
  cacheRows: CacheRows,
): Promise<SampleResponse>

Import

import { sampleForFilter } from '../utils/sampler';

I/O Contract

Inputs

Name Type Required Description
spec Partial<IngestionSpec> Yes Ingestion spec with transformSpec.filter configured
cacheRows CacheRows Yes Cached data from previous sampler calls

Outputs

Name Type Description
data SampleEntry[] Array of rows that pass the filter condition
cacheKey string or undefined Cache key for subsequent calls

Usage Examples

Filtering by Value

import { sampleForFilter } from '../utils/sampler';

const spec = {
  type: 'index_parallel',
  spec: {
    dataSchema: {
      timestampSpec: { column: 'ts', format: 'iso' },
      transformSpec: {
        transforms: [],
        filter: {
          type: 'selector',
          dimension: 'country',
          value: 'US',
        },
      },
    },
    ioConfig: { /* ... */ },
  },
};

const result = await sampleForFilter(spec, cachedRows);
// Only rows where country = 'US' are returned

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Uses Heuristic

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