Hi,
Is there a way to analyze a field that is passed to the context suggester?
If, say, I have this in my mapping:
mappings: {
myitem: {
title: {type: 'string'},
content: {type: 'string'},
user: {type: 'string', index: 'not_analyzed'},
suggest_field: {
type: 'completion',
payloads: false,
context: {
user: {
type: 'category',
path: 'user'
},
}
}
}
}
and I index this doc:
POST /myindex/myitem/1
{
title: "The Post Title"
content: ...
user: 123
suggest_field: {
input: "The Post Title",
context: {
user: 123
}
}
}
I would like to analyze the input first, split it into separate words, run
it through lowercase and stop words filters so that the context suggester
actually gets
suggest_field: {
input: ["post", "title"],
context: {
user: 123,
entity: 'posts'
}
}
I know I can pass an array into the suggest field but I would like to
avoid lowercasing the text, splitting it, running the stop words filter in
my application, before passing to ES. If possible, I would rather ES do
this for me. I did try adding an index_analyzer to the field mapping but
that didn't seem to achieve anything.
OR, is there another way to get autocomplete suggestions for words?
Cheers,
Dan
--
You received this message because you are subscribed to the Google Groups
"elasticsearch" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to [email protected].
To view this discussion on the web visit
https://groups.google.com/d/msgid/elasticsearch/d8a34b96-c26b-4d83-a664-5b8c79fbe568%40googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
