You index data into Elasticsearch by sending JSON objects (documents) through the REST APIs.
Whether you have structured or unstructured text, numerical data, or geospatial data,
Elasticsearch efficiently stores and indexes it in a way that supports fast searches.
Load a Single Document Into ES
To add a single document to an index, submit an HTTP post request that targets the index.
POST /customer/_doc/1
{
"firstname": "Jennifer",
"lastname": "Walters"
}
This request automatically creates the customer index if it doesn't exist,
adds a new document that has an ID of 1, and
stores and indexes the firstname and lastname fields.
The new document is available immediately to search.
You can retrieve it with a GET request that specifies its document ID: GET /customer/_doc/1
Load documents to ES in bulk
To add multiple documents in one request, use the _bulk API.
Bulk data must be newline-delimited JSON (NDJSON).
Each line must end in a newline character (\n), including the last line.
PUT customer/_bulk
{ "create": { } }
{ "firstname": "Monica","lastname":"Rambeau"}
{ "create": { } }
{ "firstname": "Carol","lastname":"Danvers"}
{ "create": { } }
{ "firstname": "Wanda","lastname":"Maximoff"}
{ "create": { } }
{ "firstname": "Jennifer","lastname":"Takeda"}
Search
Indexed documents are available for search in near real-time.
The following search matches all customers with a first name of Jennifer
in the customer index.
GET customer/_search
{
"query" : {
"match" : { "firstname": "Jennifer" }
}
}