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Python 操作 ElasticSearch的完整代碼

更新時間：2019年08月04日 14:47:08 作者：shaomine

python提供了操作ElasticSearch 接口，因此要用python來操作ElasticSearch，這篇文章主要介紹了Python 操作 ElasticSearch,需要的朋友可以參考下

官方文檔：https://elasticsearch-py.readthedocs.io/en/master/

　　1、介紹

　　　　python提供了操作ElasticSearch 接口，因此要用python來操作ElasticSearch，首先要安裝python的ElasticSearch包，用命令pip install elasticsearch安裝或下載安裝：https://pypi.python.org/pypi/elasticsearch/5.4.0

　　2、創(chuàng)建索引

　　　　假如創(chuàng)建索引名稱為ott，類型為ott_type的索引，該索引中有五個字段：

　　　　title：存儲中文標(biāo)題，

　　　　date：存儲日期格式（2017-09-08），

　　　　keyword：存儲中文關(guān)鍵字，

　　　　source：存儲中文來源，

　　　　link：存儲鏈接，

　　　　創(chuàng)建映射：

3、索引數(shù)據(jù)

　　　　批量索引

　　　　利用bulk批量索引數(shù)據(jù)

　　4、查詢索引

5、刪除數(shù)據(jù)

　　6、完整代碼

#coding:utf8
import os
import time
from os import walk
import CSVOP
from datetime import datetime
from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk
class ElasticObj:
  def __init__(self, index_name,index_type,ip ="127.0.0.1"):
    '''
    :param index_name: 索引名稱
    :param index_type: 索引類型
    '''
    self.index_name =index_name
    self.index_type = index_type
    # 無用戶名密碼狀態(tài)
    #self.es = Elasticsearch([ip])
    #用戶名密碼狀態(tài)
    self.es = Elasticsearch([ip],http_auth=('elastic', 'password'),port=9200)
  def create_index(self,index_name="ott",index_type="ott_type"):
    '''
    創(chuàng)建索引,創(chuàng)建索引名稱為ott，類型為ott_type的索引
    :param ex: Elasticsearch對象
    :return:
    '''
    #創(chuàng)建映射
    _index_mappings = {
      "mappings": {
        self.index_type: {
          "properties": {
            "title": {
              "type": "text",
              "index": True,
              "analyzer": "ik_max_word",
              "search_analyzer": "ik_max_word"
            },
            "date": {
              "type": "text",
              "index": True
            },
            "keyword": {
              "type": "string",
              "index": "not_analyzed"
            },
            "source": {
              "type": "string",
              "index": "not_analyzed"
            },
            "link": {
              "type": "string",
              "index": "not_analyzed"
            }
          }
        }
      }
    }
    if self.es.indices.exists(index=self.index_name) is not True:
      res = self.es.indices.create(index=self.index_name, body=_index_mappings)
      print res
  def IndexData(self):
    es = Elasticsearch()
    csvdir = 'D:/work/ElasticSearch/exportExcels'
    filenamelist = []
    for (dirpath, dirnames, filenames) in walk(csvdir):
      filenamelist.extend(filenames)
      break
    total = 0
    for file in filenamelist:
      csvfile = csvdir + '/' + file
      self.Index_Data_FromCSV(csvfile,es)
      total += 1
      print total
      time.sleep(10)
  def Index_Data_FromCSV(self,csvfile):
    '''
    從CSV文件中讀取數(shù)據(jù)，并存儲到es中
    :param csvfile: csv文件，包括完整路徑
    :return:
    '''
    list = CSVOP.ReadCSV(csvfile)
    index = 0
    doc = {}
    for item in list:
      if index > 1:#第一行是標(biāo)題
        doc['title'] = item[0]
        doc['link'] = item[1]
        doc['date'] = item[2]
        doc['source'] = item[3]
        doc['keyword'] = item[4]
        res = self.es.index(index=self.index_name, doc_type=self.index_type, body=doc)
        print(res['created'])
      index += 1
      print index
  def Index_Data(self):
    '''
    數(shù)據(jù)存儲到es
    :return:
    '''
    list = [
      {  "date": "2017-09-13",
        "source": "慧聰網(wǎng)",
        "link": "http://info.broadcast.hc360.com/2017/09/130859749974.shtml",
        "keyword": "電視",
        "title": "付費(fèi) 電視 行業(yè)面臨的轉(zhuǎn)型和挑戰(zhàn)"
       },
      {  "date": "2017-09-13",
        "source": "中國文明網(wǎng)",
        "link": "http://www.wenming.cn/xj_pd/yw/201709/t20170913_4421323.shtml",
        "keyword": "電視",
        "title": "電視 專題片《巡視利劍》廣獲好評：鐵腕反腐凝聚黨心民心"
       }
       ]
    for item in list:
      res = self.es.index(index=self.index_name, doc_type=self.index_type, body=item)
      print(res['created'])
  def bulk_Index_Data(self):
    '''
    用bulk將批量數(shù)據(jù)存儲到es
    :return:
    '''
    list = [
      {"date": "2017-09-13",
       "source": "慧聰網(wǎng)",
       "link": "http://info.broadcast.hc360.com/2017/09/130859749974.shtml",
       "keyword": "電視",
       "title": "付費(fèi) 電視 行業(yè)面臨的轉(zhuǎn)型和挑戰(zhàn)"
       },
      {"date": "2017-09-13",
       "source": "中國文明網(wǎng)",
       "link": "http://www.wenming.cn/xj_pd/yw/201709/t20170913_4421323.shtml",
       "keyword": "電視",
       "title": "電視 專題片《巡視利劍》廣獲好評：鐵腕反腐凝聚黨心民心"
       },
      {"date": "2017-09-13",
       "source": "人民電視",
       "link": "http://tv.people.com.cn/BIG5/n1/2017/0913/c67816-29533981.html",
       "keyword": "電視",
       "title": "中國第21批赴剛果（金）維和部隊啟程--人民 電視 --人民網(wǎng)"
       },
      {"date": "2017-09-13",
       "source": "站長之家",
       "link": "http://www.chinaz.com/news/2017/0913/804263.shtml",
       "keyword": "電視",
       "title": "電視 盒子 哪個牌子好？ 吐血奉獻(xiàn)三大選購秘笈"
       }
    ]
    ACTIONS = []
    i = 1
    for line in list:
      action = {
        "_index": self.index_name,
        "_type": self.index_type,
        "_id": i, #_id 也可以默認(rèn)生成，不賦值
        "_source": {
          "date": line['date'],
          "source": line['source'].decode('utf8'),
          "link": line['link'],
          "keyword": line['keyword'].decode('utf8'),
          "title": line['title'].decode('utf8')}
      }
      i += 1
      ACTIONS.append(action)
      # 批量處理
    success, _ = bulk(self.es, ACTIONS, index=self.index_name, raise_on_error=True)
    print('Performed %d actions' % success)
  def Delete_Index_Data(self,id):
    '''
    刪除索引中的一條
    :param id:
    :return:
    '''
    res = self.es.delete(index=self.index_name, doc_type=self.index_type, id=id)
    print res
  def Get_Data_Id(self,id):
    res = self.es.get(index=self.index_name, doc_type=self.index_type,id=id)
    print(res['_source'])
    print '------------------------------------------------------------------'
    #
    # # 輸出查詢到的結(jié)果
    for hit in res['hits']['hits']:
      # print hit['_source']
      print hit['_source']['date'],hit['_source']['source'],hit['_source']['link'],hit['_source']['keyword'],hit['_source']['title']
  def Get_Data_By_Body(self):
    # doc = {'query': {'match_all': {}}}
    doc = {
      "query": {
        "match": {
          "keyword": "電視"
        }
      }
    }
    _searched = self.es.search(index=self.index_name, doc_type=self.index_type, body=doc)
    for hit in _searched['hits']['hits']:
      # print hit['_source']
      print hit['_source']['date'], hit['_source']['source'], hit['_source']['link'], hit['_source']['keyword'], \
      hit['_source']['title']

obj =ElasticObj("ott","ott_type",ip ="47.93.117.127")
# obj = ElasticObj("ott1", "ott_type1")
# obj.create_index()
obj.Index_Data()
# obj.bulk_Index_Data()
# obj.IndexData()
# obj.Delete_Index_Data(1)
# csvfile = 'D:/work/ElasticSearch/exportExcels/2017-08-31_info.csv'
# obj.Index_Data_FromCSV(csvfile)
# obj.GetData(es)

總結(jié)

以上所述是小編給大家介紹的Python 操作 ElasticSearch的完整代碼，希望對大家有所幫助，如果大家有任何疑問歡迎給我留言，小編會及時回復(fù)大家的！

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