title: Elastic search query using match_phrase_prefix and fuzziness at the same time?
body: <p>I am new to elastic search, so I am struggling a bit to find the optimal query for our data.</p>
  
  <p>Imagine I want to match the following word "Handelsstandens Boldklub".</p>
  
  <p>Currently, I'm using the following query:</p>
  
  <pre><code>{
      query: {
        bool: {
          should: [
            {
              match: {
                name: {
                  query: query, slop: 5, type: "phrase_prefix"
                }
              }
            },
            {
              match: {
                name: {
                  query: query,
                  fuzziness: "AUTO",
                  operator: "and"
                }
              }
            }
          ]
        }
      }
    }
  </code></pre>
  
  <p>It currently list the word if I am searching for "Hand", but if I search for "Handle" the word will no longer be listed as I did a typo. However if I reach to the end with "Handlesstandens" it will be listed again, as the fuzziness will catch the typo, but only when I have typed the whole word.</p>
  
  <p>Is it somehow possible to do phrase_prefix and fuzziness at the same time? So in the above case, if I make a typo on the way, it will still list the word?</p>
  
  <p>So in this case, if I search for "Handle", it will still match the word "Handelsstandens Boldklub".</p>
  
  <p>Or what other workarounds are there to achieve the above experience? I like the phrase_prefix matching as its also supports sloppy matching (hence I can search for "Boldklub han" and it will list the result)</p>
  
  <p>Or can the above be achieved by using the completion suggester?</p>