Creating indexes and maps
1, manually create an index
curl -XPUT ‘localhost:9200/new-index’
2, get map
curl ‘localhost:9200/get-together/_mapping/group?pretty’
Define a new mapping
curl -XPUT ‘localhost:9200/get-together/_mappering/new-events’ -d ‘{
“new-event”:{
“propeties”:{
“host”:{
“type”: “string”
}}}}’
3, the search data acquisition
ES uses _all field defaults, index the contents of all fields
curl ‘localhost:9200/get-together/group/_search?
q=elasticsearch
&field=name,location
&size=1
&pretty’
4, in an index, multiple types of search (new version obsolete type)
curl “localhost:9200/get-together/group,event/_search?q=elasticsearch&pretty”
5, search across multiple indexes
curl “localhost:9200/get-together,other-index/_search?q=elasticsearch&pretty”
6, the search can be used as an index _all placeholder in an index of all type
curl “localhost:9200/_all/type/_search”
7, timeout (default never timeout) specified query
curl “localhost:9200/get-together/group/_search?q=elasticsearch&pretty&timeout=3s”
8, run a query type query_string
curl ‘localhost:9200/get-together/group/_search?pretty’ -d ‘{
“query”:{
“query_string”:{
“query”: “elasticsearch san francisco”,
“default_field”: “name”,
“default_operatior”:“AND”
}}
}’
9, term queries, if find 'elastic search' is only a word in the name field, term query may be faster
curl ‘localhost:9200/get-together/group/_search?pretty’ -d ‘{
“query”:{
“term”:{
“name”: “elasticsearch”
}}
}’
10, using a filter, if the score is not interested in the search, you can use the query filters, filter only care about the results of matches, and can be cached, so the relatively faster
curl ‘localhost:9200/get-together/group/_search?pretty’ -d ‘{
“query”:{
“filted”:{
“filter”:{
“term”:{
“name”:“elasticsearch”
}}
}}’
11, aggregate query
curl localhost:9200/get-together/group/_search?pretty -d ‘{
“aggregation”:{
“organizers”:{
“term”:{
“field”:“organizer”}
}
}}’
12, access to the document by ID
curl ‘localhost:9200/get-together/group/1?pretty’
