Elasticsearch为嵌套数组创建映射

Question

i have to create indexing using elasticsearch and python for the json data which need to be indexed example i have an nested array array [[39.909971141540645, 1452077285.150548, 1452077286.196072, 1.0455241203308105]] i need to define an mapping for this array like first field is count , second field is start_time, end_time, duration . please help how to declare mapping for nested array.

i have declared mapping using python and elasticsearch module

index_mapping={
 "properties": {
"speed_events":{
"type":"object",
"properties":{
"count":{"type":"double"},
"start_time":{"type":"date"},
 "end_time":{"type":"date"},
"duration":{"type":"double"}
}}}
es.indices.put_mapping(index=index_name, doc_type=type_name,      body=index_mapping)

its throwing error object mapping for [speed_events] tried to parse field [null] as object, but found a concrete value') need help to fix this

Answer 1

You need to use nested mapping for this. This will ensure each of the nested objects are treated independently from other. See documentation

Anyway I don't think it's possible to index anonymous two level nested arrays. You need to name the properties in the nested level.

So assumming order of properties as in mapping count, start_time, end_time, duration this will not work:

[  
   [  
      1,
      '1999-01-01',
      '2000-01-01',
      14.6
   ],
   [  
      2,
      '1999-01-01',
      '2000-01-01',
      16.6
   ]
]

but you should instead produce something like this:

[  
   {  
      'count':1,
      'start_time':'1999-01-01',
      'end_time':'2000-01-01',
      'duration':14.6
   },
   {  
      'count':2,
      'start_time':'1999-01-01',
      'end_time':'2000-01-01',
      'duration':16.6
   }
]