Elasticsearch Fundamentals: Indexing and Querying Data/

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Solution: Search on Elasticsearch

Solution: Search on Elasticsearch

Verify your answers to the search challenge.

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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".

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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".

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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 phrase "premium ultrabook" is present in the ...

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