analysis.yaml

text:
    - Michael
    - Heaney
    - Heavey

analyzer:

  metaphone:
    type: custom
    tokenizer: standard
    filter: 
        - my_metaphone

  porter:
    type: custom
    tokenizer: standard
    filter: 
        - lowercase
        - porter_stem

filter:

  my_metaphone:
    encoder: metaphone
    replace: false
    type: phonetic

documents.yaml

_type: jr
pty_surname: Heaney

---

_type: jr
pty_surname: Heavey

mappings.yaml

jr: 
    properties: 
        pty_surename:
            type: multi_field
            fields: 
                pty_surename:
                    # Using the simple analyzer, we can boost perfect spellings.
                    # Don't use standard, as that one removes stopwords.
                    type: string
                    analyzer: simple
                metaphone:
                    type: string
                    analyzer: metaphone
                porter:
                    type: string
                    analyzer: porter
                    

play.sh

#!/bin/bash

export ELASTICSEARCH_ENDPOINT="http://localhost:9200"

# Create indexes

curl -XPUT "$ELASTICSEARCH_ENDPOINT/play" -d '{
    "settings": {
        "analysis": {
            "text": [
                "Michael",
                "Heaney",
                "Heavey"
            ],
            "analyzer": {
                "metaphone": {
                    "type": "custom",
                    "tokenizer": "standard",
                    "filter": [
                        "my_metaphone"
                    ]
                },
                "porter": {
                    "type": "custom",
                    "tokenizer": "standard",
                    "filter": [
                        "lowercase",
                        "porter_stem"
                    ]
                }
            },
            "filter": {
                "my_metaphone": {
                    "encoder": "metaphone",
                    "replace": false,
                    "type": "phonetic"
                }
            }
        }
    },
    "mappings": {
        "jr": {
            "properties": {
                "pty_surename": {
                    "type": "multi_field",
                    "fields": {
                        "pty_surename": {
                            "type": "string",
                            "analyzer": "simple"
                        },
                        "metaphone": {
                            "type": "string",
                            "analyzer": "metaphone"
                        },
                        "porter": {
                            "type": "string",
                            "analyzer": "porter"
                        }
                    }
                }
            }
        }
    }
}'


# Index documents
curl -XPOST "$ELASTICSEARCH_ENDPOINT/_bulk?refresh=true" -d '
{"index":{"_index":"play","_type":"jr"}}
{"pty_surname":"Heaney"}
{"index":{"_index":"play","_type":"jr"}}
{"pty_surname":"Heavey"}
'

# Do searches

curl -XPOST "$ELASTICSEARCH_ENDPOINT/_search?pretty" -d '
{
    "query": {
        "bool": {
            "should": [
                {
                    "bool": {
                        "should": [
                            {
                                "match": {
                                    "pty_surname": {
                                        "query": "heavey"
                                    }
                                }
                            },
                            {
                                "match": {
                                    "pty_surname": {
                                        "query": "heavey",
                                        "fuzziness": 1
                                    }
                                }
                            },
                            {
                                "match": {
                                    "pty_surename.metaphone": {
                                        "query": "heavey"
                                    }
                                }
                            },
                            {
                                "match": {
                                    "pty_surename.porter": {
                                        "query": "heavey"
                                    }
                                }
                            }
                        ]
                    }
                }
            ]
        }
    }
}
'

play.yaml

# Auto generated by Found's Play-tool at 2013-12-17T16:42:37+01:00
version: 0
title: Fuzzy and metaphone with multi_field
description: ""

searches.yaml

# Related to: http://stackoverflow.com/questions/20632042/elasticsearch-searching-for-human-names
# See also: https://www.found.no/play/gist/867785a709b4869c5543

query: 
    bool: 
        should: 
            - bool: 
                  # It's sufficient that any of these match
                  should: 
                      # Now perfect spellings will be preferred.
                      - match: 
                           pty_surname: 
                               query: heavey
                      - match: 
                            pty_surname: 
                                query: heavey
                                fuzziness: 1

                      - match: 
                            pty_surename.metaphone: 
                                query: heavey

                      - match: 
                            pty_surename.porter:
                                query: heavey

            # ... and similarily for first_name and so on.