I'm trying to implement an autocomplete feature from phrases that contain multiple words.
I want to be able to match only the beginning of words (edgeNGram?), but for every word searched.
For example if I search for "monitor", I should receive all phrases that have the word monitor in them, but if I search for "onitor", I should get no matches (from the dataset below). Also the search for "mon ap" should give me "APNEA MONITOR- SCHULTE Vital Signs Monitor" for example and "mon rrr" should in turn give no results.
So my question is how should I go about to implement it?
So in short: the matching phrases should contain words that start with the terms searched for.
Here is my mapping:
{
"quicksearch2" : {
"results" : {
"properties" : {
"phrase" : {
"type" : "string",
"index_analyzer" : "quicksearch_index_analyzer",
"search_analyzer" : "quicksearch_search_analyzer"
}
}
}
}
}
And here are my settings:
{
"quicksearch2" : {
"settings" : {
"index.analysis.analyzer.quicksearch_index_analyzer.filter.4" : "left_ngram",
"index.analysis.analyzer.quicksearch_search_analyzer.filter.3" : "unique",
"index.analysis.analyzer.quicksearch_index_analyzer.filter.3" : "unique",
"index.analysis.filter.left_ngram.max_gram" : "20",
"index.analysis.analyzer.quicksearch_search_analyzer.filter.2" : "asciifolding",
"index.analysis.analyzer.quicksearch_search_analyzer.tokenizer" : "keyword",
"index.analysis.analyzer.quicksearch_search_analyzer.filter.1" : "lowercase",
"index.number_of_replicas" : "0",
"index.analysis.analyzer.quicksearch_search_analyzer.filter.0" : "trim",
"index.analysis.filter.left_ngram.type" : "edgeNGram",
"index.analysis.analyzer.quicksearch_search_analyzer.type" : "custom",
"index.analysis.analyzer.quicksearch_index_analyzer.filter.0" : "trim",
"index.analysis.analyzer.quicksearch_index_analyzer.filter.2" : "asciifolding",
"index.analysis.analyzer.quicksearch_index_analyzer.filter.1" : "lowercase",
"index.analysis.analyzer.quicksearch_index_analyzer.type" : "custom",
"index.analysis.filter.left_ngram.side" : "front",
"index.analysis.analyzer.quicksearch_index_analyzer.tokenizer" : "keyword",
"index.number_of_shards" : "1",
"index.version.created" : "900899",
"index.uuid" : "Lb7vC-eHQB-u_Okm3ERLow"
}
}
}
Here is my query:
query: {
match: {
phrase: {
query: term,
operator: 'and'
}
}
Some sample data:
{
"took" : 133,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"failed" : 0
},
"hits" : {
"total" : 6197,
"max_score" : 1.491863,
"hits" : [ {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "emCydgTfQwuKkl4sSZoosQ",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Apnea Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "AXCO5rUxRwC9SebXcQxXeQ",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Apnea Monitor, Neonatal"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "tjJq3klPTsmP8akOc18Htw",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Apnea Monitor, Recording"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "-FjKWxl9Rm6-byn-wlpoIw",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Cardiorespiratory Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "Q19k6V6VQ6ulZOLCfESQ6w",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Impedance Pneumograph Bedside Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "YLI1er3cRjSyGumWNVi0pg",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Impedance Pneumograph Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "n5j1SaXeS2W6NymaYAYD6A",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Neonatal Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "U7Q5XrrHRbKOIwfRWO6RTQ",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Pulmonary Function Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "aF_THiCKRIyzunCbBxJTEg",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Vital Signs Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "8BAjZfwMQjWmrkqCO7o6gg",
"_score" : 1.491863,
"fields" : {
"phrase" : "P.P.M. - PORTABLE PRECISION MONITOR Gas Monitor, Atmospheric"
}
} ]
}
}
Changing the tokenizers (both index and search) from keyword to standard seem to have done the trick.