Es查询工具使用

Kibana按照索引过滤数据

    1.创建索引模式

  2.查询索引中的数据

 

Es查询不返回数据

    创建索引的时候指定mapping

mappings={
"mappings": {
    "_doc": {
        "_source": {
            "enabled": True
        }
    }
  }
}
# print("创建新的索引")
es.indices.create(index=indexname,body=mappings)

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 查询的时候指定返回哪些字段

  1.开发工具智能提示查询

 

 

Es处理查询超时问题

class esLogAPI(object):
    def __init__(self,url):
        self.es = Elasticsearch(url,timeout=50)


    res = self.es.search(body=body)

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手动安装elasticsearch模块

copying elasticsearch6.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO
zip_safe flag not set; analyzing archive contents...
creating 'dist/elasticsearch6-6.4.2-py2.7.egg' and adding 'build/bdist.linux-x86_64/egg' to it
removing 'build/bdist.linux-x86_64/egg' (and everything under it)
Processing elasticsearch6-6.4.2-py2.7.egg
Removing /usr/lib/python2.7/site-packages/elasticsearch6-6.4.2-py2.7.egg
Copying elasticsearch6-6.4.2-py2.7.egg to /usr/lib/python2.7/site-packages
elasticsearch6 6.4.2 is already the active version in easy-install.pth

Installed /usr/lib/python2.7/site-packages/elasticsearch6-6.4.2-py2.7.egg
Processing dependencies for elasticsearch6==6.4.2
Searching for urllib3==1.24.1
Best match: urllib3 1.24.1
Adding urllib3 1.24.1 to easy-install.pth file

Using /usr/lib/python2.7/site-packages
Finished processing dependencies for elasticsearch6==6.4.2


[root@ elasticsearch6-6.4.2]# python
Python 2.7.5 (default, Jun 20 2019, 20:27:34) 
[GCC 4.8.5 20150623 (Red Hat 4.8.5-36)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from elasticsearch6 import *
>>> from elasticsearch import *
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ImportError: No module named elasticsearch
>>> exit()

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Es查询聚合按时间段切分

     在聚合得基础上按时间段切分分组可以使用date histogram

body2={"aggs":{"3":{"date_histogram":{"field":"mydate","interval":"1d","time_zone":"Asia/Shanghai","min_doc_count":0},"aggs":{"2":{"cardinality":{"field":"uid"}}}}},"size":0,"_source":{"excludes":[]},"stored_fields":["*"],"script_fields":{},"docvalue_fields":[{"field":"@timestamp","format":"date_time"},{"field":"canvas-workpad.@created","format":"date_time"},{"field":"canvas-workpad.@timestamp","format":"date_time"},{"field":"maps-telemetry.timeCaptured","format":"date_time"},{"field":"mydate","format":"date_time"},{"field":"task.runAt","format":"date_time"},{"field":"task.scheduledAt","format":"date_time"},{"field":"updated_at","format":"date_time"},{"field":"url.accessDate","format":"date_time"},{"field":"url.createDate","format":"date_time"}],"query":{"bool":{"must":[{"match_all":{}},{"match_all":{}},{"bool":{"minimum_should_match":1,"should":[{"match_phrase":{"czmc":"start:查询明细列表"}}]}},{"range":{"mydate":{"gte":1568365700473,"lte":1570957700473,"format":"epoch_millis"}}},{"bool":{"minimum_should_match":1,"should":[{"match_phrase":{"czmc":"start:查询明细列表"}}]}}],"filter":[],"should":[],"must_not":[]}},"timeout":"30000ms"}

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创建自定义索引的时候无法保存自定义列的数据

 outlist.append({"channelId":item["key"],"appId":item["3"]["buckets"][0]["key"]})

    for data in outlist:
        res = es.index(index=indexname, doc_type="doc", body=data)

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   1.修改默认doc类型的mapping,把自定义的列加入到默认mapping配置中

   2.把自己的数据存入到在mapping中已经存在的某个字段中