python - Creating analyzed and not_analyzed index on all fields in Elasticsearch -


im pretty new elasticsearch. have requirement of creating string fields "analyzed" , "not_analyzed" index. have been able 1 or 2 fields, how can if have 50 fields in document? have used following code create such index on few fields:

mapping = {     "my_type": {         "properties": {             "random_num": {"type": "string"},             "category": { "type":"multi_field", "fields":{ "category":{ "type":"string", "index":"analyzed" },"untouched":{ "type":"string", "index":"not_analyzed" } } },             "url": {"type": "string"},             "id": {"type": "string"},             "desc": { "type":"multi_field", "fields":{ "desc":{ "type":"string", "index":"analyzed" },"untouched":{ "type":"string", "index":"not_analyzed" } } }         }     } }

i appreciate if 1 me out this. thanks!

you can go through document here. using dynamic index templates , can add rules below , achienve same. in following example , have enabled additional field called raw if size less 256 not_analyzed. 

{   "mappings": {     "my_type": {       "dynamic_templates": [         {           "string_fields": {             "mapping": {               "type": "string",               "fields": {                 "raw": {                   "index": "not_analyzed",                   "ignore_above": 256,                   "type": "string"                 }               }             },             "match_mapping_type": "string",             "match": "*"           }         }       ]     }   } }

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