python elasticsearch从创建索引到写入数据的全过程

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python elasticsearch从创建索引到写入数据

创建索引

from elasticsearch import Elasticsearches = 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)

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 Elasticsearches = 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

错误的写入

正确的写入

写入多条数据

from elasticsearch import Elasticsearchfrom 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)

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",          }        }

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

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

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

根据关键词查找

from elasticsearch import Elasticsearches = 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）

总结

所述是小编给大家介绍的python elasticsearch从创建索引到写入数据的全过程，希望对大家有所帮助，如果大家有任何疑问欢迎给我留言，小编会及时回复大家的！