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python elasticsearch從創(chuàng)建索引到寫入數(shù)據(jù)的全過程

 更新時(shí)間：2019年08月04日 14:35:01   作者：diyiday  
這篇文章主要介紹了python elasticsearch從創(chuàng)建索引到寫入數(shù)據(jù)的方法，本文通過實(shí)例代碼給大家介紹的非常詳細(xì)，具有一定的參考借鑒價(jià)值,需要的朋友可以參考下

python elasticsearch從創(chuàng)建索引到寫入數(shù)據(jù)

創(chuàng)建索引

from elasticsearch import Elasticsearch
es = Elasticsearch('192.168.1.1:9200')
mappings = {
      "mappings": {
        "type_doc_test": {              #type_doc_test為doc_type
          "properties": {
            "id": {
              "type": "long",
              "index": "false"
            },
            "serial": {
              "type": "keyword", # keyword不會進(jìn)行分詞,text會分詞
              "index": "false" # 不建索引
            },
            #tags可以存json格式，訪問tags.content
            "tags": {
              "type": "object",
              "properties": {
                "content": {"type": "keyword", "index": True},
                "dominant_color_name": {"type": "keyword", "index": True},
                "skill": {"type": "keyword", "index": True},
              }
            },
            "hasTag": {
              "type": "long",
              "index": True
            },
            "status": {
              "type": "long",
              "index": True
            },
            "createTime": {
              "type": "date",
              "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
            },
            "updateTime": {
              "type": "date",
              "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
            }
          }
        }
      }
    }
res = es.indices.create(index = 'index_test',body =mappings)

通過以上代碼即可創(chuàng)建es索引

寫入一條數(shù)據(jù)

寫入數(shù)據(jù)需要根據(jù) 創(chuàng)建的es索引類型對應(yīng)的數(shù)據(jù)結(jié)構(gòu)寫入：

from elasticsearch import Elasticsearch
es = Elasticsearch('192.168.1.1:9200')
action ={
       "id": "1111122222",
       "serial":"版本",
       #以下tags.content是錯(cuò)誤的寫法
       #"tags.content" :"標(biāo)簽2",
       #"tags.dominant_color_name": "域名的顏色黃色",
       #正確的寫法如下：
       "tags":{"content":"標(biāo)簽3","dominant_color_name": "域名的顏色黃色"},
       #按照字典的格式寫入，如果用上面的那種寫法，會直接寫成一個(gè)tags.content字段。
       #而不是在tags中content添加數(shù)據(jù)，這點(diǎn)需要注意
       "tags.skill":"分類信息",
       "hasTag":"123",
       "status":"11",
       "createTime" :"2018-2-2",
       "updateTime":"2018-2-3",
        }
es.index(index="index_test",doc_type="doc_type_test",body = action)

即可寫入一條數(shù)據(jù)

錯(cuò)誤的寫入

這里寫圖片描述

正確的寫入

這里寫圖片描述

寫入多條數(shù)據(jù)

from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk
es = Elasticsearch('192.168.1.1:9200')
ACTIONS = []
action1 ={
          "_index": "indes_test",
          "_type": "doc_type_test",
          "_id":"bSlegGUBmJ2C8ZCSC1R1",
          "_source":{
            "id": "1111122222",
            "serial":"版本",
            "tags.content" :"標(biāo)簽2",
            "tags.dominant_color_name": "域名的顏色黃色",
            "tags.skill":"分類信息",
            "hasTag":"123",
            "status":"11",
            "createTime" :"2018-2-2",
            "updateTime":"2018-2-3",
          }
        }
action2 ={
          "_index": "indes_test",
          "_type": "doc_type_test",
          "_id":"bSlegGUBmJ2C8ZCSC1R2",
          "_source":{
            "id": "1111122222",
            "serial":"版本",
            "tags.content" :"標(biāo)簽2",
            "tags.dominant_color_name": "域名的顏色黃色",
            "tags.skill":"分類信息",
            "hasTag":"123",
            "status":"11",
            "createTime" :"2018-2-2",
            "updateTime":"2018-2-3",
          }
        }
ACTIONS.append(action1)
ACTIONS.append(action2)
res,_ =bulk(es, ACTIONS, index="indes_test", raise_on_error=True)
print(res)

這個(gè)方式是手動指定了id，如果把”_id”這個(gè)參數(shù)去掉即可自動生成id數(shù)據(jù).
如下：

action2 ={
          "_index": "indes_test",
          "_type": "doc_type_test",
          "_source":{
            "id": "1111122222",
            "serial":"版本",
            "tags.content" :"標(biāo)簽2",
            "tags.dominant_color_name": "域名的顏色黃色",
            "tags.skill":"分類信息",
            "hasTag":"123",
            "status":"11",
            "createTime" :"2018-2-2",
            "updateTime":"2018-2-3",
          }
        }

刪除一條數(shù)據(jù)

from elasticsearch import Elasticsearch
es = Elasticsearch('192.168.1.1:9200')
res = es.delete(index="index_test",doc_type="doc_type_test", id ="bSlegGUBmJ2C8ZCSC1R1")
print(res)

直接替換id的即可刪除所需的id

查詢一條數(shù)據(jù)

from elasticsearch import Elasticsearch
es = Elasticsearch('192.168.1.1:9200')
res = es.get(index="index_test",doc_type="doc_type_test", id ="bSlegGUBmJ2C8ZCSC1R2")
print(res)

直接替換id的即可查詢所需的id

查詢所有數(shù)據(jù)

from elasticsearch import Elasticsearch

es = Elasticsearch('192.168.1.1:9200')

res = es.search(index="index_test",doc_type="doc_type_test")
print(res)
print(res['hits']['hits'])

通過['hits']參數(shù)，可以解析出查詢數(shù)據(jù)的詳細(xì)內(nèi)容

根據(jù)關(guān)鍵詞查找

from elasticsearch import Elasticsearch
es = Elasticsearch('192.168.1.1:9200')
doc = {
      "query": {
        "match": {
          "_id": "aSlZgGUBmJ2C8ZCSPVRO"
        }
      }
    }
res = es.search(index="index_test",doc_type="doc_type_test",body=doc)
print（res）

總結(jié)

所述是小編給大家介紹的python elasticsearch從創(chuàng)建索引到寫入數(shù)據(jù)的全過程，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(shí)回復(fù)大家的！

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