21 handy elasticsearch queries
Elasticsearch is a powerful, fast and surprisingly user freindly data store and search tool. It’s not quite a database and it’s not quite a search engine, elasticsearch sits somewhere comfortably in between.
For these examples, we’ll store some domain names, Ip addresses and related information as that is a lot more fun than traditional bookstore type demos and example apps.
First, we’ll create the index:
|
1 2 |
PUT /domaindb_index { "settings": { "number_of_shards": 1 }} |
That will create a basic index with a single shard called “domaindb”
|
1 2 3 4 5 6 7 8 9 10 11 12 13 |
POST /domaindb_index/domain/_bulk { "index": { "_id": 1 }} { "title": "google.com", "ip": ["216.58.193.78"], "description" : "Words most popular search engine", "updated_date" : "2015-02-07"} { "index": { "_id": 2 }} { "title": "yahoo.com", "ip": ["206.190.36.45"], "description", "Search, news, email provider"], "updated_date" : "2013-01-24"} { "index": { "_id": 3 }} { "title": "bing.com", "ip": ["13.107.21.200"], "description", "updated_date" : "2014-01-24"} |
|
1 2 3 |
{ "index": { "_id": 3 }} { "title": "bing.com", "ip": ["13.107.21.200", "description", "Search, news, email provider"], "updated_date" : "2013-01-24"} |
Now that we’ve got a basic index with some data, let’s try a first query. We’ll search for “google” within every field in the entire index.
|
1 |
Now that we've got a basic index with some data, let's try a first query. We'll search for "google" within every field in the entire index. |
|
1 |
GET /domaindb_index/book/_search?q=google |
elasticsearch export specific index mappings
ELK Stack Powered Analytics
elasticsearch curl query examples
About Author
Ken
Hi there. I'm part of the staff here at onkea Academy working hard to create programming tutorials and articles.