创建索引
from elasticsearch import Elasticsearch es = Elasticsearch('192.168.1.1:9200')mappings = {
"mappings": { "type_doc_test": { #type_doc_test为doc_type "properties": { "id": { "type": "long", "index": "false" }, "serial": { "type": "keyword", # keyword不会进行分词,text会分词 "index": "false" # 不建索引 }, #tags可以存json格式，访问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)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 通过以上代码即可创建es索引写入一条数据
写入数据需要根据 创建的es索引类型对应的数据结构写入：from elasticsearch import Elasticsearch
es = Elasticsearch('192.168.1.1:9200')
action ={
"id": "1111122222", "serial":"版本", #以下tags.content是错误的写法 #"tags.content" :"标签2", #"tags.dominant_color_name": "域名的颜色黄色", #正确的写法如下： "tags":{"content":"标签3","dominant_color_name": "域名的颜色黄色"}, #按照字典的格式写入，如果用上面的那种写法，会直接写成一个tags.content字段。 #而不是在tags中content添加数据，这点需要注意 "tags.skill":"分类信息", "hasTag":"123", "status":"11", "createTime" :"2018-2-2", "updateTime":"2018-2-3", } es.index(index="index_test",doc_type="doc_type_test",body = action) 即可写入一条数据 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 错误的写入正确的写入
写入多条数据
from elasticsearch import Elasticsearch from elasticsearch.helpers import bulkes = 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" :"标签2", "tags.dominant_color_name": "域名的颜色黄色", "tags.skill":"分类信息", "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" :"标签2", "tags.dominant_color_name": "域名的颜色黄色", "tags.skill":"分类信息", "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) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 这个方式是手动指定了id，如果把”_id”这个参数去掉即可自动生成id数据. 如下：action2 ={
"_index": "indes_test", "_type": "doc_type_test","_source":{
"id": "1111122222", "serial":"版本", "tags.content" :"标签2", "tags.dominant_color_name": "域名的颜色黄色", "tags.skill":"分类信息", "hasTag":"123", "status":"11", "createTime" :"2018-2-2", "updateTime":"2018-2-3", } } 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 删除一条数据 from elasticsearch import Elasticsearches = Elasticsearch('192.168.1.1:9200')
res = es.delete(index="index_test",doc_type="doc_type_test", id ="bSlegGUBmJ2C8ZCSC1R1")
print(res) 直接替换id的即可删除所需的id 1 2 3 4 5 6 7 查询一条数据 from elasticsearch import Elasticsearches = Elasticsearch('192.168.1.1:9200')
res = es.get(index="index_test",doc_type="doc_type_test", id ="bSlegGUBmJ2C8ZCSC1R2")
print(res) 直接替换id的即可查询所需的id 1 2 3 4 5 6 7 查询所有数据 from elasticsearch import Elasticsearches = Elasticsearch('192.168.1.1:9200')
res = es.search(index="index_test",doc_type="doc_type_test")
print(res) print(res['hits']['hits'])通过['hits']参数，可以解析出查询数据的详细内容
1 2 3 4 5 6 7 8 9 10 根据关键词查找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）