curl http://localhost:9200
{
"name" : "j-QtbbE",
"cluster_name" : "elasticsearch",
"cluster_uuid" : "OCqS3wLWRfGL2spqUHQkrg",
"version" : {
"number" : "6.7.0",
"build_flavor" : "default",
"build_type" : "tar",
"build_hash" : "8453f77",
"build_date" : "2019-03-21T15:32:29.844721Z",
"build_snapshot" : false,
"lucene_version" : "7.7.0",
"minimum_wire_compatibility_version" : "5.6.0",
"minimum_index_compatibility_version" : "5.0.0"
},
"tagline" : "You Know, for Search"
}
pip install elasticsearch
// or
pip3 install elasticsearch
$ python3
Python 3.7.3 (default, Mar 27 2019, 09:23:15)
[Clang 10.0.1 (clang-1001.0.46.3)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from elasticsearch import Elasticsearch
>>>
$ python
Python 2.7.16 |Anaconda, Inc.| (default, Mar 14 2019, 16:24:02)
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> # make sure ES is up and running
... import requests
res = requests.get('http://localhost:9200')
print(res.content)
>>> res = requests.get('http://localhost:9200')
>>> print(res.content)
{
"name" : "j-QtbbE",
"cluster_name" : "elasticsearch",
"cluster_uuid" : "OCqS3wLWRfGL2spqUHQkrg",
"version" : {
"number" : "6.7.0",
"build_flavor" : "default",
"build_type" : "tar",
"build_hash" : "8453f77",
"build_date" : "2019-03-21T15:32:29.844721Z",
"build_snapshot" : false,
"lucene_version" : "7.7.0",
"minimum_wire_compatibility_version" : "5.6.0",
"minimum_index_compatibility_version" : "5.0.0"
},
"tagline" : "You Know, for Search"
}
>>>
(kibana plugin 之一)