Fielddata
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What is Fielddata?
Fielddata is an on-disk data structure used by Elasticsearch to enable aggregations, sorting, and scripting on text fields. Because text fields are analyzed (broken down into individual terms), Elasticsearch needs a way to quickly access all the terms for a specific document when performing these operations. Fielddata loads all the terms for a field into memory, allowing for fast access during these operations.
Free resources to learn Fielddata
More in stage 7: Search Analyzer
- Search Analyzer
- Doc values
- The Inverted Index
- The Analyze API
- Standard Analyzer
- Custom Analyzers
- Value Count
- Avg / Sum / Min / Max
- Cardinality
- Stats / Extended Stats
- Terms
- Range / Date Range
- Histogram
- Filter Aggregations
- Pivot
- Latest
- Transform API
- Nested Aggregations
- Pipeline Aggregations
- Understanding Similarity
- BM25 algorithm
- CAT API
- Segment Merging
- Cluster Monitoring
- Cross-cluster Replication
- Autoscaling
- Boosting Queries
- Function Score Query
- Match Phrase Query
- Synonyms Graph
- ILM
- Rollover Policies
- Data Tiers
- Vector Search
- Semantic Search
- Hybrid Search
- Snapshots & restore
- SLM
- Authentication
- Roles & Users
- API Keys
Fielddata: common questions
Can I learn Fielddata in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Fielddata in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Fielddata tutorial for beginners?
It is lesson 74 of 113 in the free Elasticsearch roadmap, in stage 7, Search Analyzer. If you are new to Elasticsearch, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.