ElasticSearch常用操作記錄

es使用記錄

# -*- coding:utf-8 -*-

import pandas as pd
from elasticsearch import elasticsearch
from elasticsearch.helpers import bulk
import argparse
class
elasticobj
:def
__init__
(self, index_name, index_type, ip=
"127.0.0.1"):
'''        構建es索引，批量匯入資料
'''self.index_name = index_name
self.index_type = index_type
self.es = elasticsearch(
[ip]
)def
bulk_index_data
(self, csvfile)
:'''
用bulk將批量資料儲存到es
'''df =
open
(csvfile,
'r', encoding=
'utf8'
)        lines = df.readlines(
)print
(len
(lines)
)        doc =
for item in lines:
it = item.split(
'\t'
)            dic =
dic[
'docid'
]= it[0]
dic[
'passage'
]= it[3]
.strip(
).replace(
' ','')
actions =
i =0for line in doc:
action =
}            i +=
1print
('index_num:'
, i)
success, _ = bulk(self.es, actions, index=self.index_name, raise_on_error=
true
, request_timeout=
1000
)print
('performed %d actions'
% success)
defcreate_index
(self, index_name, index_type)
:'''
建立索引
'''# 建立對映
,"docid":}
}}# 構建索引
print
("begin construct index"
)if self.es.indices.exists(index=self.index_name)
isnot
true
:print
(res)
else
:print
("exists"
)if __name__ ==
"__main__"
:#建立es，把文件批量匯入索引節點
obj = elasticobj(
"passage"
,"_doc"
)print
("init done!"
)    obj.create_index(
"passage"
,"_doc"
)print
("create done!"
)    obj.bulk_index_data(
"./datasets/law/new_doc.txt"
)

# -*- coding:utf-8 -*-

import pandas as pd
from elasticsearch import elasticsearch
from elasticsearch.helpers import bulk
class
elasticobj
:"""
es索引類，用於檢索資料
"""def__init__
(self, index_name,index_type,ip =
"127.0.0.1"):
self.index_name =index_name
self.index_type = index_type
self.es = elasticsearch(
[ip]
)"""
通過問題檢索文件
"""defget_data_by_body
(self, question, k)
:        doc =}}
try:
_searched = self.es.search(index=self.index_name, doc_type=self.index_type, body=doc)
answers =
for item in _searched[
'hits'][
'hits']:
(item[
'_source'][
'passage'][
:20], item[
'_source'][
'docid'])
)return answers
except
:print
('search not exist'
)print
(question)
defsearch
(query,topk)
:    obj = elasticobj(
"passage"
,"_doc"
)    answers = obj.get_data_by_body(query, topk)
return answers
if __name__ ==
"__main__"
:    
query =
''print
(search(query,3)
)

curl localhost:9200/_cat/indices?v

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