Planned lessonMID-043-L03

Queries, filters, and facets

Lesson 3 of 6
Mid-level

On This Lesson 4 topics

In this lesson
Planned topics
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Practice

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In this lesson

write full-text, filtered, and faceted queries.

Planned topics

Full-text: match query on analyzed text, scored.
Filters: term/range inside bool.filter; not scored, cacheable, good for category and price.
Facets (aggregations): counts per category or price range alongside the results.
Typo tolerance: fuzziness in match queries ("AUTO").
Use keyword fields for exact values and aggregations; text fields for full-text.

Draft outline details

Demonstration

json

{ "query": { "bool": {
    "must":   { "match": { "name": { "query": "runing shoes", "fuzziness": "AUTO" } } },
    "filter": [ { "term": { "category": "footwear" } }, { "range": { "price": { "lte": 100 } } } ] } },
  "aggs": { "by_category": { "terms": { "field": "category" } } } }

Check your understanding

Why put category in filter rather than must?

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Filters are not scored and can be cached.

Practice

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