Completion Suggester - Elasticsearch
I have an issue about the completion suggester.
I have a string dataset with data like :
"paris", "london", "france", "a city in France", "nothing at all", ...
I would like search into my data with for example this input : "an" and have this results : "france", "a city in France", "nothing at all"
is it possible ?
Thanks.
elasticsearch lucene
asked Nov 23 '18 at 16:46
Pierre MarsotPierre Marsot
1
add a comment |
I have an issue about the completion suggester.
I have a string dataset with data like :
"paris", "london", "france", "a city in France", "nothing at all", ...
I would like search into my data with for example this input : "an" and have this results : "france", "a city in France", "nothing at all"
is it possible ?
Thanks.
elasticsearch lucene
asked Nov 23 '18 at 16:46
Pierre MarsotPierre Marsot
1
add a comment |
I have an issue about the completion suggester.
I have a string dataset with data like :
"paris", "london", "france", "a city in France", "nothing at all", ...
I would like search into my data with for example this input : "an" and have this results : "france", "a city in France", "nothing at all"
is it possible ?
Thanks.
elasticsearch lucene
asked Nov 23 '18 at 16:46
Pierre MarsotPierre Marsot
1
I have an issue about the completion suggester.
I have a string dataset with data like :
"paris", "london", "france", "a city in France", "nothing at all", ...
I would like search into my data with for example this input : "an" and have this results : "france", "a city in France", "nothing at all"
is it possible ?
Thanks.
elasticsearch lucene
elasticsearch lucene
asked Nov 23 '18 at 16:46
Pierre MarsotPierre Marsot
1
asked Nov 23 '18 at 16:46
Pierre MarsotPierre Marsot
1
asked Nov 23 '18 at 16:46
Pierre MarsotPierre Marsot
1
asked Nov 23 '18 at 16:46
Pierre MarsotPierre Marsot
1
asked Nov 23 '18 at 16:46
Pierre MarsotPierre Marsot
1
1
add a comment |
add a comment |
1 Answer
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It is possible to achieve something similar to what you want by using partial matching with n-grams. In order to do it every word in your dataset should be split into so called n-grams - moving windows of word where n is a length of this window. To not repeat Elasticsearch docs here is the link.
Everything comes with a price. Here the price is an increased size of the index.
answered Nov 25 '18 at 21:16
briarheartbriarheart
1,2571221
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
It is possible to achieve something similar to what you want by using partial matching with n-grams. In order to do it every word in your dataset should be split into so called n-grams - moving windows of word where n is a length of this window. To not repeat Elasticsearch docs here is the link.
Everything comes with a price. Here the price is an increased size of the index.
answered Nov 25 '18 at 21:16
briarheartbriarheart
1,2571221
add a comment |
It is possible to achieve something similar to what you want by using partial matching with n-grams. In order to do it every word in your dataset should be split into so called n-grams - moving windows of word where n is a length of this window. To not repeat Elasticsearch docs here is the link.
Everything comes with a price. Here the price is an increased size of the index.
answered Nov 25 '18 at 21:16
briarheartbriarheart
1,2571221
add a comment |
It is possible to achieve something similar to what you want by using partial matching with n-grams. In order to do it every word in your dataset should be split into so called n-grams - moving windows of word where n is a length of this window. To not repeat Elasticsearch docs here is the link.
Everything comes with a price. Here the price is an increased size of the index.
answered Nov 25 '18 at 21:16
briarheartbriarheart
1,2571221
It is possible to achieve something similar to what you want by using partial matching with n-grams. In order to do it every word in your dataset should be split into so called n-grams - moving windows of word where n is a length of this window. To not repeat Elasticsearch docs here is the link.
Everything comes with a price. Here the price is an increased size of the index.
answered Nov 25 '18 at 21:16
briarheartbriarheart
1,2571221
answered Nov 25 '18 at 21:16
briarheartbriarheart
1,2571221
answered Nov 25 '18 at 21:16
briarheartbriarheart
1,2571221
answered Nov 25 '18 at 21:16
briarheartbriarheart
1,2571221
1,2571221
add a comment |
add a comment |
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