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
Shard allocation is the process of allocating shards to nodes. This can happen during initial recovery, replica allocation, rebalancing, or when nodes are added or removed. One of the main roles of the master is to decide which shards to allocate to which nodes, and when to move shards between nodes in order to rebalance the cluster. There are a number of settings available to control the shard al
Mapping is the process of defining how a document, and the fields it contains, are stored and indexed. Each document is a collection of fields, which each have their own data type. When mapping your data, you create a mapping definition, which contains a list of fields that are pertinent to the document. A mapping definition also includes metadata fields, like the _source field, which customize ho
Changes a dynamic index setting in real time. For data streams, index setting changes are applied to all backing indices by default. resp = client.indices.put_settings( index="my-index-000001", body={"index": {"number_of_replicas": 2}}, ) print(resp) response = client.indices.put_settings( index: 'my-index-000001', body: { index: { number_of_replicas: 2 } } ) puts response
With scripting, you can evaluate custom expressions in Elasticsearch. For example, you can use a script to return a computed value as a field or evaluate a custom score for a query. The default scripting language is Painless. Additional lang plugins are available to run scripts written in other languages. You can specify the language of the script anywhere that scripts run. Available scripting lan
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