Completion Suggester - Elasticsearch












0















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.










share|improve this question



























    0















    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.










    share|improve this question

























      0












      0








      0








      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.










      share|improve this question














      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






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 23 '18 at 16:46









      Pierre MarsotPierre Marsot

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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.






          share|improve this answer























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            1 Answer
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            1 Answer
            1






            active

            oldest

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            active

            oldest

            votes






            active

            oldest

            votes









            0














            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.






            share|improve this answer




























              0














              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.






              share|improve this answer


























                0












                0








                0







                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.






                share|improve this answer













                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.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 25 '18 at 21:16









                briarheartbriarheart

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