Search string with space in a long text in Elasticsearch
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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 yesterday
emsi
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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 yesterday
emsi
1
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emsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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1
You should try to usematch_prefixandmatch_phrase_prefixwhich should do the job.
– Val
yesterday
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
yesterday
add a comment |
up vote
0
down vote
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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 yesterday
emsi
1
New contributor
emsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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 yesterday
emsi
1
New contributor
emsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
emsi
1
New contributor
emsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
emsi
1
New contributor
emsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
emsi
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asked yesterday
emsi
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1
New contributor
emsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
emsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
emsi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
1
You should try to usematch_prefixandmatch_phrase_prefixwhich should do the job.
– Val
yesterday
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
yesterday
add a comment |
1
You should try to usematch_prefixandmatch_phrase_prefixwhich should do the job.
– Val
yesterday
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
yesterday
1
1
You should try to use
match_prefix and match_phrase_prefix which should do the job.– Val
yesterday
You should try to use
match_prefix and match_phrase_prefix which should do the job.– Val
yesterday
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
yesterday
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
yesterday
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4QUqpWe,WtiEZR8Aj4ZHEbRh
1
You should try to use
match_prefixandmatch_phrase_prefixwhich should do the job.– Val
yesterday
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
yesterday