An aggregation summarizes your data as metrics, statistics, or other analytics. Aggregations help you answer questions like: What’s the average load time for my website? Who are my most valuable customers based on transaction volume? What would be considered a large file on my network? How many products are in each product category? Metric aggregations that calculate metrics, such as a sum or aver
<index> (Required, string) Comma-separated list of indices to delete. You cannot specify index aliases. By default, this parameter does not support wildcards (*) or _all. To use wildcards or _all, set the action.destructive_requires_name cluster setting to false. allow_no_indices (Optional, Boolean) If false, the request returns an error if any wildcard expression, index alias, or _all value targe
Data in the real world is rarely simple - often times it is a jumble of interlocking relations. How do you represent relational data in Elasticsearch? There are a few mechanisms that can be used to provide relation support. Each has their pros and cons, making them useful for different situations. Inner Objects The simplest mechanism are named "inner objects". These are JSON objects embedded insid
Elastic Docs ›Elasticsearch Guide [8.13] ›Deleted pages « Mapping root object type Elastic Stack Monitoring Service » Query DSL filtersedit See Query and filter context. « Mapping root object type Elastic Stack Monitoring Service » Most Popular Video Get Started with Elasticsearch Video Intro to Kibana Video ELK for Logs & Metrics
Elasticsearch provides a full Query DSL (Domain Specific Language) based on JSON to define queries. Think of the Query DSL as an AST (Abstract Syntax Tree) of queries, consisting of two types of clauses: Leaf query clauses Leaf query clauses look for a particular value in a particular field, such as the match, term or range queries. These queries can be used by themselves. Compound query clauses C
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