Elasticsearch response format

Elasticsearch Response Format#

Elasticsearch is an open-source search engine that stores and retrieves data using a JSON-based query language. It is highly scalable and can handle a large amount of data. When we perform a search query on Elasticsearch, it returns a response in a particular format.

Response Format#

The response format of Elasticsearch has three main parts:

• Meta Information: This part contains metadata about the request and the response.
• Hits: This part contains the actual search results.
• Aggregations: This part contains the aggregations (statistics) of the search results.

Meta Information#

The meta information section contains information about the request and the response. It includes the following:

• took: This field indicates how long the request took to execute, in milliseconds.
• timed_out: This field indicates whether the request timed out or not.
• _shards: This field contains information about how many shards were searched and how many of them returned successful results.

Hits#

The hits section contains the actual search results. It includes the following:

• total: This field indicates the total number of documents that matched the search query.
• max_score: This field indicates the maximum score of all matching documents.
• hits: This field is an array of actual search results. Each hit contains information about the matched document, such as its index, ID, and score.

Aggregations#

The aggregations section contains the statistics of the search results. It includes the following:

• aggregation_name: This field indicates the name of the aggregation.
• doc_count: This field indicates the number of documents that match the aggregation.
• aggregation_results: This field contains the actual aggregation results.

{
    "took": 10,
    "timed_out": false,
    "_shards": {
        "total": 5,
        "successful": 5,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": 1,
        "max_score": 1.0,
        "hits": [
            {
                "_index": "my_index",
                "_type": "_doc",
                "_id": "1",
                "_score": 1.0,
                "_source": {
                    "title": "My Title",
                    "description": "My Description"
                }
            }
        ]
    },
    "aggregations": {
        "my_aggregation": {
            "doc_count": 1,
            "my_sum": {
                "value": 100
            }
        }
    }
}

Overall, Elasticsearch provides a powerful and flexible search engine that returns search results in a well-structured format. It is highly customizable and can be configured to meet a wide range of search requirements.