GET http://localhost:9200/:index/_analyze?analyzer=default&text=test+text

GET http://localhost:9200/:index/:type/:id

PUT http://localhost:9200/:index/:type/(:id)

# All resources
DELETE http://localhost:9200/_all

# An index
DELETE http://localhost:9200/:index

# A type
DELETE http://localhost:9200/:index/:type

# An item
DELETE http://localhost:9200/:index/:type/:id

When you insert data into elastic search, it uses dynamic detection to determine what kind of data each field is.

GET http://localhost:9200/:index/:type/_mapping

• If you are adding fields, there is no need to reindex.
• If you need to change a field, you need to reindex your data. An article on the subject

• Create a new index with the new mapping (see PUT mapping below)
• Pull in documents from the old index using a scrolled search and index them to the new index using the bulk API. Note: make sure that you include search_type=scan in your search request. This disables sorting and makes "deep paging" efficient.
• Update index alias.
• Delete the old index

	PUT http://localhost:9200/:index/:type -d '{
		"mappings": {
			"tweet": {
				"properties": {
					…
				}
				
			}
		}
	}'

The hits object gives you the top 10 hits that matched the query. The score represents how well the results matched the query.

# Entire database
GET http://localhost:9200/_search

# One index
GET http://localhost:9200/:index/_search

# Multuple indecies
GET http://localhost:9200/:index,:index/_search

# Wildcards
GET http://localhost:9200/hub*/_search

# Page 1
GET http://localhost:9200/_search?size=5&from=0

# Page 2
GET http://localhost:9200/_search?size=5&from=5