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Elasticsearch Fundamentals: Indexing and Querying Data

Solution: Search on Elasticsearch

Explore how to construct and apply various Elasticsearch queries such as match, bool, range, match_phrase, prefix, and fuzzy queries. This lesson enables you to perform precise searches for products based on criteria like name, price, rating, and category, and handle text variations effectively.

We'll cover the following...

Solution 1: Products with the name field containing "Samsung"

To solve this query challenge, we can use the match query, which performs a full-text search on the specified field, making it suitable for searching text-based fields like the name field.

To construct the query, we need to send a search request to the products index and specify the query type as match for the name field. The query text should be set as "Samsung".

Dart
GET /products/_search
{
  "query": {
    "match": {
      "name": "Samsung"
    }
  }
}

Solution 2: "Apple" products in the $500–$1000 price range

To solve this query challenge, we can utilize a bool query, and within its must clause, include a range query to filter the products based on the price range of $500 to $1000 and a term query to search for an exact match of the brand "Apple".

Dart
GET /products/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "range": {
            "price": {
              "gte": 500,
              "lte": 1000
            }
          }
        },
        {
          "term": {
            "brand": "Apple"
          }
        }
      ]
    }
  }
}

Solution 3: Products with the description field containing the exact phrase "premium ultrabook"

To solve this query challenge, we can utilize the match_phrase query to ensure that the entire ...