apoc.es.getRaw

Procedure APOC Full

apoc.es.getRaw(host-or-key,path,payload-or-null,$config) yield value - perform a raw GET operation on elastic search

Signature

apoc.es.getRaw(host :: STRING?, path :: STRING?, payload :: ANY?, config = {} :: MAP?) :: (value :: MAP?)

Input parameters

Name	Type	Default
host	STRING?	null
path	STRING?	null
payload	ANY?	null
config	MAP?	{}

Name

Type

Default

host

STRING?

null

path

STRING?

null

payload

ANY?

null

config

MAP?

{}

Output parameters

Name	Type
value	MAP?

Name

Type

value

MAP?

Usage Examples

The examples in this section are based on the following Elastic instance:

version: '3.5'
services:
  elastic:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.10.0
    ports:
      - 9200:9200
      - 9300:9300
    environment:
      - discovery.type=single-node

with a dataset created by downloading this file, and executing the command:

curl -H 'Content-Type: application/json' -XPOST 'localhost:9200/bank/_bulk?pretty&refresh' --data-binary '@accounts.json'

We can find the document with id 1, by running the following query:

CALL apoc.es.getRaw("localhost","bank/_doc/1",null);

Table 1. Results
value
{_seq_no: 0, found: TRUE, _index: "bank", _type: "_doc", _source: {account_number: 1, firstname: "Amber", address: "880 Holmes Lane", balance: 39225, gender: "M", city: "Brogan", employer: "Pyrami", state: "IL", age: 32, email: "amberduke@pyrami.com", lastname: "Duke"}, _id: "1", _version: 1, _primary_term: 1}

We can find the documents that have an address of mill lane, by running the following query:

CALL apoc.es.getRaw("localhost","bank/_search",{
  query: { match_phrase: { address: "mill lane" } }
});

Table 2. Results
value
{_shards: {total: 1, failed: 0, successful: 1, skipped: 0}, hits: {hits: [{_type: "_doc", _source: {account_number: 136, firstname: "Winnie", address: "198 Mill Lane", balance: 45801, gender: "M", city: "Urie", employer: "Neteria", state: "IL", age: 38, email: "winnieholland@neteria.com", lastname: "Holland"}, _id: "136", _index: "bank", _score: 9.507477}], total: {value: 1, relation: "eq"}, max_score: 9.507477}, took: 2, timed_out: FALSE}