How to have multiple type single suggest

Elastic Stack Elasticsearch
#1

I want multiple type suggest for single request,
eq I have data about some article and profile user data. So when we type I
need to suggest profile user as well as user data in one request.

I tried

curl -X PUT localhost:9200/suggestion -d '
{
"mappings" : {
"keyword" : {
"properties" : {
"name_suggest" : { "type" : "completion"}
}
},
"profiles" : {
"properties" : {
"name_suggest" : { "type" : "completion"},
"payload" : true
}
}
}
}'

my request is
curl -X GET localhost:9200/suggestion/_suggest?pretty -d '
{
"keyword" : {
"text" : "a",
"completion" : {
"field" : "name_suggest"
}
},
"profiles" : {
"text" : "a",
"completion" : {
"field" : "name_suggest"
}
}
}'

It need to return

{
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"keyword" : [ {
"text" : "a",
"offset" : 0,
"length" : 1,
"options" : [ {
"text" : "aba",
"score" : 1.0
}, {
"text" : "abaca",
"score" : 1.0
}, {
"text" : "abandoned land",
"score" : 1.0
}, {
"text" : "abelmoschus esculentus",
"score" : 1.0
}, {
"text" : "abies balsamea",
"score" : 1.0
} ]
} ],
"profiles" : [ {
{
"text" : "abhi dath",
"score" : 1.0
}, {
"text" : "anney lotra",
"score" : 1.0
} ]
} ]
}

but I get

{
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"keyword" : [ {
"text" : "a",
"offset" : 0,
"length" : 1,
"options" : [ {
"text" : "aba",
"score" : 1.0
}, {
"text" : "abaca",
"score" : 1.0
}, {
"text" : "abandoned land",
"score" : 1.0
}, {
"text" : "abelmoschus esculentus",
"score" : 1.0
}, {
"text" : "abies balsamea",
"score" : 1.0
} ]
} ],
"profiles" : [ {
"text" : "a",
"offset" : 0,
"length" : 1,
"options" : [ {
"text" : "aba",
"score" : 1.0
}, {
"text" : "abaca",
"score" : 1.0
}, {
"text" : "abandoned land",
"score" : 1.0
}, {
"text" : "abelmoschus esculentus",
"score" : 1.0
}, {
"text" : "abies balsamea",
"score" : 1.0
} ]
} ]
}

what is wrong ?, Is there any other approach

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#2

Hi,

Suggester does not work the same way as normal queries and is not aware of
types, so the output is expected. As you have two suggesters with same
name, it will return the same results. You should use the context
suggester, that adds a context
(http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/suggester-context.html),
so that you can differentiate. To avoid any ambiguity, I tend to have more
verbose name for my suggesters are they are not type aware (so instead of
"name_suggest" I would call them "keyword_name_suggest" and
"profile_name_suggest"). If you do so, you basically don't need to use the
"context suggester". If you want to keep the same name, you'll have to use
a context suggester.

Hope it helps!

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#3