from datetime import datetime
from elasticsearch6 import Elasticsearch
es = Elasticsearch({"172.16.100.186": "9200"})
doc = {'id': 2, 'name': "乙"}
ID = 2
INDEX = "wuren"
DOC_TYPE = "cn"
# res = es.delete(index=INDEX, doc_type=DOC_TYPE, id=ID)
es.create(index=INDEX, doc_type=DOC_TYPE, id=ID, body=doc)
# res = es.delete(index=INDEX, doc_type=DOC_TYPE, id=2)
res = es.get(index=INDEX, doc_type=DOC_TYPE, id=ID)
print(res)
# res = es.get(index=InterruptedError, id=1, doc_type=DOC_TYPE)
# print(res['_source'])
"Path to git repo. Commits used as data to load into Elasticsearch. (Default: None"
)
args = parser.parse_args()
# instantiate es client, connects to localhost:9200 by default
es = Elasticsearch(args.host)
# we load the repo and all commits
load_repo(es, path=args.path)
# run the bulk operations
success, _ = bulk(es, UPDATES, index='git')
print('Performed %d actions' % success)
# we can now make docs visible for searching
es.indices.refresh(index='git')
# now we can retrieve the documents
initial_commit = es.get(index='git',
doc_type='doc',
id='20fbba1230cabbc0f4644f917c6c2be52b8a63e8')
print('%s: %s' %
(initial_commit['_id'], initial_commit['_source']['committed_date']))
# refresh to make the documents available for search
es.indices.refresh(index='git')
# and now we can count the documents
print(es.count(index='git')['count'], 'documents in index')
