Hi Karan,
Can you please tell us what mapping you have applied?
If you are applying EdgeNGram in Query time Analyzer then your search query
"harry g" will get tokenized as per your custom analyser.
Regards,
Jayesh Bhoyar
On Wednesday, January 29, 2014 9:51:08 AM UTC+5:30, Karan Verma wrote:
>
> Hi
>
> Lets say I have indexed a field person_name as a string, with a custom
> analyzer. person_name is stored int the index in one of the documents as:
> "Harry Greenberg"
>
> I make a *match query* on the field : "harry g"
>
> I have a custom edgengram tokenizer which breaks the query down as
> follows:
>
> {
> "tokens": [
> {
> "token": "h",
> "start_offset": 0,
> "end_offset": 1,
> "type": "word",
> "position": 1
> },
> {
> "token": "ha",
> "start_offset": 0,
> "end_offset": 2,
> "type": "word",
> "position": 2
> },
> {
> "token": "har",
> "start_offset": 0,
> "end_offset": 3,
> "type": "word",
> "position": 3
> },
> {
> "token": "harr",
> "start_offset": 0,
> "end_offset": 4,
> "type": "word",
> "position": 4
> },
> {
> "token": "harry",
> "start_offset": 0,
> "end_offset": 5,
> "type": "word",
> "position": 5
> },
> {
> "token": "g",
> "start_offset": 6,
> "end_offset": 7,
> "type": "word",
> "position": 6
> }
> ]
> }
>
>
> Will all of these tokens be matched agains "Harry Greenberg" or
> person_name will also be broken down as defined by my custom analyzer?
>
>
> If not, how can I make it so that it will also be broken down? Will it
> make the search significantly slower?
>
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