# Problems with match\_phrase
**URL:** https://discuss.elastic.co/t/problems-with-match-phrase/306934
**Category:** Elasticsearch
**Created:** [June 11, 2022, 9:54am UTC](https://discuss.elastic.co/t/problems-with-match-phrase/306934 "2022-06-11T09:54:15Z")
**Posts on this page:** 9
**Page:** 1
### Author:  [@Nicolai\_Jee](https://discuss.elastic.co/u/Nicolai_Jee)
#### Post date: [June 11, 2022, 9:54am UTC](https://discuss.elastic.co/t/problems-with-match-phrase/306934/1 "2022-06-11T09:54:15Z")
Hi
I have a query that looks like this:
```auto
{
"query": {
"bool": {
"must": [
{
"match_phrase": {
"fullAddress": "To-Bjerg 2"
}
}
]
}
},
"from": 0,
"size": 25
}
```
I want it to match both To-Bjerg 2 and To-Bjerg 22, but I seem to be unable to do that.
What am I doing wrong ?
My index mapping looks like this:
```auto
{
"addresses": {
"mappings": {
"properties": {
"addressId": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"city": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"country": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"door": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"etrs89CoordinatEast": {
"type": "double"
},
"etrs89CoordinatNorth": {
"type": "double"
},
"floor": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"fullAddress": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"houseNumber": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"postalCode": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"postalCodeAndCity": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"status": {
"type": "integer"
},
"street": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"streetAddress": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"streetAndPostal": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"updated": {
"type": "date"
}
}
}
}
}
```
What am I doing wrong ?
---
### Author:  [@Nicolai\_Jee](https://discuss.elastic.co/u/Nicolai_Jee)
#### Post date: [June 11, 2022, 9:56am UTC](https://discuss.elastic.co/t/problems-with-match-phrase/306934/2 "2022-06-11T09:56:43Z")
I only get an excact match back.
---
### Author:  [@Tomo\_M](https://discuss.elastic.co/u/Tomo_M)
#### Post date: [June 11, 2022, 11:46am UTC](https://discuss.elastic.co/t/problems-with-match-phrase/306934/3 "2022-06-11T11:46:29Z")
`match_phrase` query matches the text contains the same array of analyzed tokens but not characters. The behavior depends on the analyzer you use.
If "To-Bjerg 2" is analyzed to ["to", "bjerg", "2"] and
"To-Bjerg 22" is analyzed to ["to", "bjerg", "22"],
the query phrase "To-Bjerg 2", which is analyzed to ["to", "bjerg", "2"], may only match the former.
You can check the behavior of the analyzer via [Analyze API](https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-analyze.html).
---
### Author:  [@Mikhail\_Khludnev](https://discuss.elastic.co/u/Mikhail_Khludnev)
#### Post date: [June 11, 2022, 6:44pm UTC](https://discuss.elastic.co/t/problems-with-match-phrase/306934/4 "2022-06-11T18:44:53Z")
Hmm... it sounds like [Match phrase prefix query | Elasticsearch Guide [8.2] | Elastic](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-match-query-phrase-prefix.html) ha?
---
### Author:  [@Nicolai\_Jee](https://discuss.elastic.co/u/Nicolai_Jee)
#### Post date: [June 12, 2022, 7:00am UTC](https://discuss.elastic.co/t/problems-with-match-phrase/306934/5 "2022-06-12T07:00:00Z")
Almost it returns To-Bjerg 2 and To-Bjerg 20 but not To-Bjerg 21.
Any idea why ?
---
### Author:  [@Nicolai\_Jee](https://discuss.elastic.co/u/Nicolai_Jee)
#### Post date: [June 12, 2022, 7:01am UTC](https://discuss.elastic.co/t/problems-with-match-phrase/306934/6 "2022-06-12T07:01:44Z")
I am very unsure what analyzer to use.
It is a bit of a jungle to me.
Any pointers ?
---
### Author:  [@Nicolai\_Jee](https://discuss.elastic.co/u/Nicolai_Jee)
#### Post date: [June 12, 2022, 8:08am UTC](https://discuss.elastic.co/t/problems-with-match-phrase/306934/7 "2022-06-12T08:08:21Z")
Thanks for the help.
I managed to use your pointers to create a custom ngram analyzer and use that with a match query.
```auto
"analysis": {
"analyzer": {
"my_analyzer": {
"type": "custom",
"tokenizer": "my_tokenizer"
}
},
"tokenizer": {
"my_tokenizer": {
"type": "ngram",
"min_gram": "2",
"max_gram": "50"
}
}
}
{
"query": {
"match": {
"fullAddress": {
"query": "To-Bjerg 2"
}
}
}
}
```
---
### Author:  [@Nicolai\_Jee](https://discuss.elastic.co/u/Nicolai_Jee)
#### Post date: [June 13, 2022, 4:12am UTC](https://discuss.elastic.co/t/problems-with-match-phrase/306934/8 "2022-06-13T04:12:43Z")
I ended up with these setting for my index:
```auto
"analysis": {
"analyzer": {
"my_edge_ngram_analyzer": {
"filter": [
"lowercase"
],
"type": "custom",
"tokenizer": "edge_ngram_tokenizer"
},
"my_ngram_analyzer": {
"type": "custom",
"tokenizer": "ngram_tokenizer"
}
},
"tokenizer": {
"edge_ngram_tokenizer": {
"token_chars": [
"letter",
"digit"
],
"custom_token_chars": "-",
"min_gram": "1",
"type": "edge_ngram",
"max_gram": "50"
},
"ngram_tokenizer": {
"type": "ngram",
"min_gram": "1",
"max_gram": "50"
}
}
}
```
And I used my\_edge\_ngram\_analyzer on the address field.
---
### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [July 11, 2022, 4:13am UTC](https://discuss.elastic.co/t/problems-with-match-phrase/306934/9 "2022-07-11T04:13:10Z")
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