I'm using ES's auto-completion and i'd like to understand how the prefix
tokenization works. Example queries and results its returning currently:
1) 'blackb' -> 'Blackberry Q10 Red'
--> Expected
2) 'q' -> 'Blackberry Q10 Red'
--> Expected
3) 'q10' -> No result, expected is 'Blackberry Q10 Red'
--> Why are results returned when typing in 'q' but not 'q10'?
4) 'blackberry q10'
--> Expected
5) 'sam' -> 'Samsung Galaxy S5'
--> Expected
6) 'galax' > -> 'Samsung Galaxy S5'
--> Expected
7) 'S5'
-> No result, expected is 'Samsung Galaxy S5'
I'm indexing the document using input: ["blackberry, "Q10 Red"], input:
["samsung", "galaxy s5"], please find the mapping / query below. I thought
the standard tokenizer would also tokenize on whitespaces and hence give
result for S5, also i don't understand why 'q' gives results but 'q10'
doesn't. Can i use the prefix tokenizer for such a use case or would it
need to switch to ngrams completely?
My mapping looks as follow:
"mappings" : {
"suggestions" : {
"_timestamp": {
"enabled": true,
"path" : "lastTimestamp"
},
"properties" : {
"suggest" : { "type" : "completion",
"index_analyzer" : "standard",
"search_analyzer" : "simple",
"payloads" : true,
"context" : {
"type" : {
"type" : "category",
"path" : "entity"
and query like this:
{
"suggestions" : {
"text" : "<query>'",
"completion" : {
"size" : 5,
"field" : "suggest",
"fuzzy" : {
"fuzziness" : 1
},
"context" : {
"type" : "<internalcategory>'"
}
}
}
}
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