Basic Query Structure
Queries in Elasticsearch are structured JSON objects sent to the Elasticsearch API. The primary component of a query is the query clause, which specifies the type of query to perform. Let’s start with some basic query examples.
Example 1: Match Query
The match query is used to search for documents containing a specific term or phrase.
GET /products/_search
{
"query": {
"match": {
"name": "Smartphone"
}
}
}
In this example:
- We use the match query to search for documents in the products index where the name field contains the term “Smartphone“.
- The result will include all documents matching this criterion.
Example 2: Term Query
The term query is used for exact matching of terms.
GET /products/_search
{
"query": {
"term": {
"category": "Electronics"
}
}
}
In this example:
- We use the term query to find documents in the products index where the category field exactly matches “Electronics“.
- This query is case-sensitive and matches the term exactly as specified.
Querying Data in Elastic Search
Querying data in Elasticsearch is a fundamental skill for effectively retrieving and analyzing information stored in this powerful search engine. In this guide, we’ll explore various querying techniques in Elasticsearch, providing clear examples and outputs to help you understand the process.