Hi All,
I am trying to write down a custom analyzer like as follows :
"analysis": {
"tokenizer": {
"my_edge_ngram_tokenizer": {
"type": "edgeNGram",
"min_gram": "1",
"max_gram": "20",
"token_chars": []
}
},
"filter": {
"ys_word_delimiter": {
"type": "word_delimiter",
"stem_english_possessive": "False"
}
},
"analyzer": {
"ys_search_analyzer": {
"type": "custom",
"tokenizer": "my_edge_ngram_tokenizer",
"filter": [
"ys_word_delimiter",
"lowercase"
]
}
}
}
Now I need to have a behave for analyzer that if i search for title as*
"ca,usa" OR "ca, usa"*, both should be searchable using this analyzer. But
right now its searching only what has been saved, So if the title is saved
with space then space is searchable and if title is saved without space,
its searchable without space.
So I tried to add "trim" filter in the filter list. Expecting, after
tokenizer, the token filter will run on the token generated, so " usa" will
be convered to "usa" token. so whether the title is without space or with
space, the read and write time will finally be changed into a trimmed token
after bypassing this analyzer.
If I am mistaken in understanding the analysis process, please let me know,
and if yes, please let me know how can i achieve this goal.
All help will be appreciated. Thanks in advance.
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