-
-
Save polyfractal/bce8e9ce47a96a24e693 to your computer and use it in GitHub Desktop.
ElasticSearch Mapping
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"mappings":{ | |
"item":{ | |
"properties":{ | |
"productName":{ | |
"fields":{ | |
"partial":{ | |
"search_analyzer":"full_name", | |
"index_analyzer":"partial_name", | |
"type":"string" | |
}, | |
"partial_back":{ | |
"search_analyzer":"full_name", | |
"index_analyzer":"partial_name_back", | |
"type":"string" | |
}, | |
"partial_middle":{ | |
"search_analyzer":"full_name", | |
"index_analyzer":"partial_middle_name", | |
"type":"string" | |
}, | |
"productName":{ | |
"type":"string", | |
"analyzer":"full_name" | |
} | |
}, | |
"type":"multi_field" | |
}, | |
"productID":{ | |
"type":"string", | |
"analyzer":"simple" | |
}, | |
"warehouse":{ | |
"type":"string", | |
"analyzer":"simple" | |
}, | |
"vendor":{ | |
"type":"string", | |
"analyzer":"simple" | |
}, | |
"productDescription":{ | |
"type":"string", | |
"analyzer":"full_name" | |
}, | |
"categories":{ | |
"type":"string", | |
"analyzer":"simple" | |
}, | |
"stockLevel":{ | |
"type":"integer", | |
"index":"not_analyzed" | |
}, | |
"cost":{ | |
"type":"float", | |
"index":"not_analyzed" | |
} | |
} | |
} | |
}, | |
"settings":{ | |
"analysis":{ | |
"filter":{ | |
"name_ngrams":{ | |
"side":"front", | |
"max_gram":50, | |
"min_gram":2, | |
"type":"edgeNGram" | |
}, | |
"name_ngrams_back":{ | |
"side":"back", | |
"max_gram":50, | |
"min_gram":2, | |
"type":"edgeNGram" | |
}, | |
"name_middle_ngrams":{ | |
"type":"nGram", | |
"max_gram":50, | |
"min_gram":2 | |
} | |
}, | |
"analyzer":{ | |
"full_name":{ | |
"filter":[ | |
"standard", | |
"lowercase", | |
"asciifolding" | |
], | |
"type":"custom", | |
"tokenizer":"standard" | |
}, | |
"partial_name":{ | |
"filter":[ | |
"standard", | |
"lowercase", | |
"asciifolding", | |
"name_ngrams" | |
], | |
"type":"custom", | |
"tokenizer":"standard" | |
}, | |
"partial_name_back":{ | |
"filter":[ | |
"standard", | |
"lowercase", | |
"asciifolding", | |
"name_ngrams_back" | |
], | |
"type":"custom", | |
"tokenizer":"standard" | |
}, | |
"partial_middle_name":{ | |
"filter":[ | |
"standard", | |
"lowercase", | |
"asciifolding", | |
"name_middle_ngrams" | |
], | |
"type":"custom", | |
"tokenizer":"standard" | |
} | |
} | |
} | |
} | |
} | |
/*-----------------Example query:----------------------*/ | |
{ | |
"size":20, | |
"from":0, | |
"sort":[ | |
"_score" | |
], | |
"query":{ | |
"filtered":{ | |
"query":{ | |
"bool":{ | |
"should":[ | |
{ | |
"text":{ | |
"productName":{ | |
"boost":5, | |
"query":"test query", | |
"type":"phrase" | |
} | |
} | |
}, | |
{ | |
"text":{ | |
"productName.partial":{ | |
"boost":1, | |
"query":"test query" | |
} | |
} | |
}, | |
{ | |
"text":{ | |
"productName.partial_middle":{ | |
"boost":1, | |
"query":"test query" | |
} | |
} | |
}, | |
{ | |
"text":{ | |
"productName.partial_back":{ | |
"boost":1, | |
"query":"test query" | |
} | |
} | |
} | |
] | |
} | |
}, | |
"filter":{ | |
"bool":{ | |
"must":[ | |
{ | |
"terms":{ | |
"warehouse":[ | |
"international", | |
"usa", | |
"aus", | |
"de" | |
] | |
} | |
}, | |
{ | |
"range":{ | |
"stockLevel":{ | |
"gt":"0" | |
} | |
} | |
} | |
] | |
} | |
} | |
} | |
} | |
} |
How do I use this mapping?
Do I save it to config/mappings?
Dazed and confused.
Thanks a lot. This helped me to improve my search.
thanks for sharing
for others: the text is deprecated use match instead
starting ES 2.0 index_analyzer should be changed to "analyzer"
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
this is just what I've been looking for...there's such a dearth of useable examples for indexes, analyzers and mapping. nice job!