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(huì)進(jìn)行分詞,text會(huì)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(huì)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
正確的寫入
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(dòng)指定了id，如果把”_id”這個(gè)參數(shù)去掉即可自動(dòng)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(huì)及時(shí)回復(fù)大家的！
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