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.