Facets & Aggregations

Analyze search results through aggregations to understand data distribution and patterns.

See significant terms aggregations as well.

Basic usage

# Single facet
openaleph-search search query-string "corruption" --args "facet=dataset"

# Multiple facets
openaleph-search search query-string "investigation" \
  --args "facet=dataset&facet=schema&facet=countries"

Types

Terms aggregations

Count distinct values in keyword fields.

openaleph-search search query-string "corruption" \
  --args "facet=dataset&facet=schema"

Cardinality aggregations

Get total count of distinct values.

openaleph-search search query-string "investigation" \
  --args "facet=countries&facet_total:countries=true"

Date histogram aggregations

Group results by time intervals.

openaleph-search search query-string "transaction" \
  --args "facet=created_at&facet_interval:created_at=month"

Parameters

`facet`

Field name to facet on.

--args "facet=schema"

`facet_size:FIELD`

Number of values to return (default: 20).

--args "facet=countries&facet_size:countries=50"

`facet_total:FIELD`

Include total distinct count.

--args "facet=languages&facet_total:languages=true"

`facet_values:FIELD`

Return actual values (default: true).

# Only counts, no values
--args "facet=entities&facet_values:entities=false&facet_total:entities=true"

`facet_interval:FIELD`

Time interval for date fields.

--args "facet=created_at&facet_interval:created_at=month"

Intervals: year, quarter, month, week, day, hour, minute

`facet_type:FIELD`

Aggregation type for special fields.

--args "facet=properties.entity&facet_type:properties.entity=entity"

Response format

Aggregations appear in the aggregations section:

{
  "hits": {...},
  "aggregations": {
    "dataset.values": {
      "buckets": [
        {"key": "panama_papers", "doc_count": 1250},
        {"key": "paradise_papers", "doc_count": 890}
      ]
    },
    "schema.cardinality": {
      "value": 12
    },
    "created_at.intervals": {
      "buckets": [
        {
          "key": 1609459200000,
          "key_as_string": "2021-01-01",
          "doc_count": 145
        }
      ]
    },
    "names.significant_terms": {
      "buckets": [
        {
          "key": "mossack fonseca",
          "doc_count": 25,
          "score": 0.8745,
          "bg_count": 100
        }
      ]
    }
  }
}

Common fields

Apart from the common group fields, individual FollowTheMoney properties can be used as well via properties.<prop>

Entity fields

schema - Entity schema type
schemata - Schema inheritance (e.g. schemata=LegalEntity includes all its descendants)
dataset - Dataset identifier

Group fields

FollowTheMoney property types

These groups are part of the index as keyword fields:

addresses
checksums
countries
dates
emails
entities
genders
identifiers
ips
languages
mimetypes
names
phones
topics
urls

Name fields

names - Normalized entity names (includes the NER mentions from Analyzable entities.)
name_symbols - Name symbols (extracted from names)

Date histograms

See allowed interval values

Calendar intervals

openaleph-search search query-string "transaction" \
  --args "facet=dates&facet_interval:dates=month"

Example values: year, quarter, month, week, day

Fixed intervals

openaleph-search search query-string "activity" \
  --args "facet=dates&facet_interval:dates=30d"

Examples: 1h, 15m, 7d, 1M

Date range with histogram

openaleph-search search query-string "event" \
  --args "filter:gte:properties.startDate=2020-01-01&filter:lte:properties.startDate=2023-12-31&facet=properties.startDate&facet_interval:properties.startDate=quarter"

Includes empty buckets within range.

Post-filters

Each facet excludes its own filters to show alternative options:

# Dataset facet shows ALL datasets, not just filtered ones
openaleph-search search query-string "company" \
  --args "filter:dataset=collection1&filter:dataset=collection2&facet=dataset"

This allows users to see alternative filter options.

Performance

Execution strategy

All facets use execution_hint: map for keyword fields.

High cardinality

Fields with many unique values:

Use facet size limits
Monitor query performance
Consider sampling for large datasets

Examples

openaleph-search search query-string "investigation" \
  --args "facet=dataset&facet=schema&facet=countries&facet=created_at&facet_interval:created_at=month"

Document classification

openaleph-search search query-string "*" \
  --args "filter:schemata=Document&facet=properties.mimeType&facet=languages&facet_size:properties.mimeType=100"

Entity network

openaleph-search search query-string "person" \
  --args "filter:schema=Person&facet=dataset&facet=countries"

Temporal trends

openaleph-search search query-string "company" \
  --args "facet=schema&facet=created_at&facet_interval:created_at=year&facet_size:schema=50"

Error handling

Invalid fields

Non-existent fields return empty results:

{
  "aggregations": {
    "nonexistent_field.values": {
      "buckets": []
    }
  }
}

Type mismatches

Requesting histograms on non-date fields falls back to term aggregation.

Authorization failures

Restricted fields return empty results while maintaining query functionality.