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Elasticsearch - Completion suggester overview

Elasticsearch - Completion suggester overview

This presentation was held at the Amsterdam Elasticsearch meetup and used to explain the basic functionality of the quite new completion suggester.

Alexander Reelsen

October 15, 2013
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Transcript

  1. Suggestion - Introduction • Different possibilites • Using queries (EdgeNGram,

    NGram, match prefix) • Returns the whole document • As fast as a query • Term suggester • Phrase suggester • did-you-mean
  2. Suggestion - Completion • Search-as-you-type, prefix suggester • Creates an

    in-memory structure (speed!) • FST is written on disk on indexing • Responses < 1ms
  3. Indexing curl  -­‐X  PUT  localhost:9200/products/product/1  -­‐d   ' {  

     "name"  :  "Apple  Iphone  5",    "name_suggest"  :  {          "input"  :    [  "Apple  Iphone  5",  "Iphone  5"  ],        "output"  :  "Apple  Iphone  5",        "weight"  :  100,        "payload"  :  1    } }'
  4. Querying - Request curl  -­‐X  POST  localhost:9200/products/_suggest  -­‐d  ' {

       "suggestions"  :  {          "text"  :  "i",        "completion"  :  {              "field"  :  "name_suggest"        }    } }'
  5. Querying - Response {    ...        "options"

     :  [  {            "text"  :  "Apple  Iphone  5",            "score"  :  100.0            "payload"  :  1        },  {            "text"  :  "iphone  4  GS",            "score"  :  1.0        },  {            "text"  :  "iPhone  6",            "score"  :  1.0        },  {            "text"  :  "iPhone  case",            "score"  :  1.0        }  ]    }  ] }
  6. Suggestion - In operation • Completion suggester needs memory to

    be fast • Monitoring per node/index/field • Keep your payloads small • Improve relevancy by constant monitoring • Optional: Maintain an own index for suggestions
  7. Suggestion - Future • Done: Fuzzy • Highlighting • Improved

    handling of stopwords • Geo-Suggestions • More than prefix-only suggestions