Start Elasticsearch, 
Index & Query

pipeline.sh

# 1. Start Elasticsearch
# ./bin/elasticsearch, docker run ...

# 2. Create index
# https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-create-index.html
curl -X PUT http://localhost:9200/example
# => {"acknowledged":true,"shards_acknowledged":true}

# 3. Add a document
# https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-index_.html
curl -X POST http://localhost:9200/example/doc -H 'Content-Type: application/json' -d '{"title": "elastic4IR", "body": "Welcome to the workshop!"}'
# =>
# {
#   "_index" : "example",
#   "_type" : "doc",
#   "_id" : "AV3OdFAZ7fqYee2bfgSQ",
#   "_version" : 1,
#   "result" : "created",
#   "_shards" : {
#     "total" : 2,
#     "successful" : 1,
#     "failed" : 0
#   },
#   "created" : true
# }

# 4. Search for our new document
# https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-match-all-query.html
curl -X GET http://localhost:9200/example/_search -H 'Content-Type: application/json' -d '{"query": {"match_all": {}}}'
# =>
# {
#   "took" : 2,
#   "timed_out" : false,
#   "_shards" : {
#     "total" : 5,
#     "successful" : 5,
#     "failed" : 0
#   },
#   "hits" : {
#     "total" : 2,
#     "max_score" : 1.0,
#     "hits" : [
#       {
#         "_index" : "example",
#         "_type" : "doc",
#         "_id" : "AV3OdFAZ7fqYee2bfgSQ",
#         "_score" : 1.0,
#         "_source" : {
#           "title" : "elastic4IR",
#           "body" : "Welcome to the workshop!"
#         }
#       }
#     ]
#   }
# }