Elasticsearch term vs match

The match query analyzes the input string and constructs more basicqueries from that.

The term query matches exact terms.

Refer these blogs to get detailed information :

SO question on Term vs Match query

https://discuss.elastic.co/t/term-query-vs-match-query/14455

elasticsearch match vs term query

The field value /user/ayush/test/error/ is analyzed as follows :

POST/_analyze{  "analyzer" : "standard",  "text" : "/user/ayush/test/error/"}

The tokens generated are:

{    "tokens": [        {            "token": "user",            "start_offset": 1,            "end_offset": 5,            "type": "<ALPHANUM>",            "position": 0        },        {            "token": "ayush",            "start_offset": 6,            "end_offset": 11,            "type": "<ALPHANUM>",            "position": 1        },        {            "token": "test",            "start_offset": 12,            "end_offset": 16,            "type": "<ALPHANUM>",            "position": 2        },        {            "token": "error",            "start_offset": 17,            "end_offset": 22,            "type": "<ALPHANUM>",            "position": 3        }    ]}

Index data:

{ "directory":"/user/ayush/test/error/" }{ "directory":"/user/ayush/" }{ "directory":"/user" }

Search Query using Term query:

The term query does not apply any analyzers to the search term, so will only look for that exact term in the inverted index. So to search for the exact term, you need to use directory.keyword OR change the mapping of field.

{  "query": {    "term": {      "directory.keyword": {        "value": "/user/ayush/test/error/",        "boost": 1.0      }    }  }}

Search Result for Term query:

"hits": [            {                "_index": "my_index",                "_type": "_doc",                "_id": "1",                "_score": 0.9808291,                "_source": {                    "directory": "/user/ayush/test/error/"                }            }        ]