Search string with space in a long text in Elasticsearch
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0
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I would like to hear from anyone who has a solid structural solution for settings and mapping for an index that will have fields with long text where I can search with spaces.
According to my knowledge, field type must keywords then I can use wildcard, which is not suggested for long text because it will be expensive.
However, is it true?
Thanks,
emsi
elasticsearch asked Nov 10 at 10:20
emsi
11
add a comment |
up vote
0
down vote
favorite
I would like to hear from anyone who has a solid structural solution for settings and mapping for an index that will have fields with long text where I can search with spaces.
According to my knowledge, field type must keywords then I can use wildcard, which is not suggested for long text because it will be expensive.
However, is it true?
Thanks,
emsi
elasticsearch asked Nov 10 at 10:20
emsi
11
1
You should try to usematch_prefixandmatch_phrase_prefixwhich should do the job.
– Val
Nov 10 at 11:44
Currently, I am using match_phrase_prefix and it just works without changing the mapping, however, there is a catch. When I search for "coffee b then I get "Caffee Bean ...", which is perfect but "Caffee - Bean" is the result too. Should also I use a custom analyzer? I have already tried different options that the query presents.
– emsi
Nov 10 at 12:42
Yes, you will need custom analyzer if you want to preserve-. It is removed bystandardanalyzer fortextfields
– martin-g
Nov 23 at 18:30
Now it is handled by using a custom analyzer. Thanks.
– emsi
Nov 27 at 10:46
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I would like to hear from anyone who has a solid structural solution for settings and mapping for an index that will have fields with long text where I can search with spaces.
According to my knowledge, field type must keywords then I can use wildcard, which is not suggested for long text because it will be expensive.
However, is it true?
Thanks,
emsi
elasticsearch asked Nov 10 at 10:20
emsi
11
I would like to hear from anyone who has a solid structural solution for settings and mapping for an index that will have fields with long text where I can search with spaces.
According to my knowledge, field type must keywords then I can use wildcard, which is not suggested for long text because it will be expensive.
However, is it true?
Thanks,
emsi
elasticsearch elasticsearch asked Nov 10 at 10:20
emsi
11
asked Nov 10 at 10:20
emsi
11
asked Nov 10 at 10:20
emsi
11
asked Nov 10 at 10:20
emsi
11
asked Nov 10 at 10:20
emsi
11
11
1
You should try to usematch_prefixandmatch_phrase_prefixwhich should do the job.
– Val
Nov 10 at 11:44
Currently, I am using match_phrase_prefix and it just works without changing the mapping, however, there is a catch. When I search for "coffee b then I get "Caffee Bean ...", which is perfect but "Caffee - Bean" is the result too. Should also I use a custom analyzer? I have already tried different options that the query presents.
– emsi
Nov 10 at 12:42
Yes, you will need custom analyzer if you want to preserve-. It is removed bystandardanalyzer fortextfields
– martin-g
Nov 23 at 18:30
Now it is handled by using a custom analyzer. Thanks.
– emsi
Nov 27 at 10:46
add a comment |
1
You should try to usematch_prefixandmatch_phrase_prefixwhich should do the job.
– Val
Nov 10 at 11:44
Currently, I am using match_phrase_prefix and it just works without changing the mapping, however, there is a catch. When I search for "coffee b then I get "Caffee Bean ...", which is perfect but "Caffee - Bean" is the result too. Should also I use a custom analyzer? I have already tried different options that the query presents.
– emsi
Nov 10 at 12:42
Yes, you will need custom analyzer if you want to preserve-. It is removed bystandardanalyzer fortextfields
– martin-g
Nov 23 at 18:30
Now it is handled by using a custom analyzer. Thanks.
– emsi
Nov 27 at 10:46
1
1
You should try to use
match_prefix and match_phrase_prefix which should do the job.– Val
Nov 10 at 11:44
You should try to use
match_prefix and match_phrase_prefix which should do the job.– Val
Nov 10 at 11:44
Currently, I am using match_phrase_prefix and it just works without changing the mapping, however, there is a catch. When I search for "coffee b then I get "Caffee Bean ...", which is perfect but "Caffee - Bean" is the result too. Should also I use a custom analyzer? I have already tried different options that the query presents.
– emsi
Nov 10 at 12:42
Currently, I am using match_phrase_prefix and it just works without changing the mapping, however, there is a catch. When I search for "coffee b then I get "Caffee Bean ...", which is perfect but "Caffee - Bean" is the result too. Should also I use a custom analyzer? I have already tried different options that the query presents.
– emsi
Nov 10 at 12:42
Yes, you will need custom analyzer if you want to preserve
-. It is removed by standard analyzer for text fields– martin-g
Nov 23 at 18:30
Yes, you will need custom analyzer if you want to preserve
-. It is removed by standard analyzer for text fields– martin-g
Nov 23 at 18:30
Now it is handled by using a custom analyzer. Thanks.
– emsi
Nov 27 at 10:46
Now it is handled by using a custom analyzer. Thanks.
– emsi
Nov 27 at 10:46
add a comment |
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1
You should try to use
match_prefixandmatch_phrase_prefixwhich should do the job.– Val
Nov 10 at 11:44
Currently, I am using match_phrase_prefix and it just works without changing the mapping, however, there is a catch. When I search for "coffee b then I get "Caffee Bean ...", which is perfect but "Caffee - Bean" is the result too. Should also I use a custom analyzer? I have already tried different options that the query presents.
– emsi
Nov 10 at 12:42
Yes, you will need custom analyzer if you want to preserve
-. It is removed bystandardanalyzer fortextfields– martin-g
Nov 23 at 18:30
Now it is handled by using a custom analyzer. Thanks.
– emsi
Nov 27 at 10:46