Avg, Sum, Min, and Max Aggregations
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What is Avg, Sum, Min, and Max Aggregations?
These aggregations are fundamental tools for calculating statistical summaries of numerical data. They compute the average (Avg), total (Sum), smallest value (Min), and largest value (Max) respectively, across a set of documents that match a query. These aggregations operate on numeric fields within your Elasticsearch indices, providing insights into the distribution and range of your data.
Free resources to learn Avg, Sum, Min, and Max Aggregations
- Official docsAggregations
- Official docsAvg aggregation
- Official docsSum aggregation
- Official docsMax aggregation
- Official docsMin aggregation
- ArticleA Basic Guide To Elasticsearch Aggregations
- ArticleElasticSearch Aggregation & Queries
- VideoLearn about elastic search aggregation in 15 minutes
More in stage 7: Search Analyzer
- Search Analyzer
- Doc values
- fielddata
- The Inverted Index
- The Analyze API
- Standard Analyzer
- Custom Analyzers
- Value Count
- 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
Avg, Sum, Min, and Max Aggregations: common questions
Can I learn Avg, Sum, Min, and Max Aggregations 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 Avg, Sum, Min, and Max Aggregations 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 Avg, Sum, Min, and Max Aggregations tutorial for beginners?
It is lesson 80 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.