Prefix Query Result Problem

prefix query is not returning the correct results..
in ISO Country data.. my query was

{"query":{"bool":{"must":[{"prefix":{"country.name
":"in"}}],"must_not":[],"should":[]}},"from":0,"size":50,"sort":[],"facets":{}}
and the returned result is:
{ took: 3 timed_out: false _shards: { total: 5 successful: 5 failed: 0 }
hits: { total: 3 max_score: 1 hits: [ { _index: restdb _type: country _id:
sX3-aNGBQaOjo-L7zNj7qQ _score: 1_source: { id: 519fcbce820ea8950373612b code
: ID name: INDONESIA } }{ _index: restdb _type: country _id:
YMXpIxaPRzmkMZqaKQ36pw _score: 1_source: { id: 519fcbce820ea895037360e4 code
: IO name: BRITISH INDIAN OCEAN TERRITORY }}{ _index: restdb _type:
country _id: Ok9MHCr4RLqjH6oFLX92EA _score: 1_source: { id:
519fcbce820ea8950373612a code: IN name: INDIA }}
] } }

As, you can see, red coloured data, is not matching prefix query..
Am i correct i need to do something else.., if not please help me to find
out correct way to do so, else, give me go ahead, to post this as bug.

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This is because of your analyzer: it splits "BRITISH INDIAN OCEAN
TERRITORY" into ["british", "indian", "ocean", "territory"] and one of
these terms ("indian") starts with "in".

What you probably want is to apply an analyzer that only does lowercasing,
for instance by wrapping a keyword tokenizer and a lowercase token filter.

On Fri, Apr 3, 2015 at 2:34 PM, James Crone arafay696@gmail.com wrote:

prefix query is not returning the correct results..
in ISO Country data.. my query was

{"query":{"bool":{"must":[{"prefix":{"country.name":"in"}}
],"must_not":,"should":}},"from":0,"size":50,"sort":,"facets":{}}
and the returned result is:
{ took: 3 timed_out: false _shards: { total: 5 successful: 5 failed: 0 }
hits: { total: 3 max_score: 1 hits: [ { _index: restdb _type: country _id
: sX3-aNGBQaOjo-L7zNj7qQ _score: 1_source: { id: 519fcbce820ea8950373612b
code: ID name: INDONESIA } }{ _index: restdb _type: country _id: YMXpIxa
PRzmkMZqaKQ36pw _score: 1_source: { id: 519fcbce820ea895037360e4 code: IO
name: BRITISH INDIAN OCEAN TERRITORY }}{ _index: restdb _type: country
_id: Ok9MHCr4RLqjH6oFLX92EA _score: 1_source: { id:
519fcbce820ea8950373612a code: IN name: INDIA }}
] } }

As, you can see, red coloured data, is not matching prefix query..
Am i correct i need to do something else.., if not please help me to find
out correct way to do so, else, give me go ahead, to post this as bug.

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--
Adrien

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I have try analyzer on specific index field by creating multifield. And it
looks like:
"Countries" : {
"Properties" : {
"Name" : {
"Type" : "string",
"Fields" : {
"Untouched" : {
"Type" : "string",
"Index" : "no_anylzer"
}
}
}
}

}

Is it true? If yes how can I query for this field?
On Apr 3, 2015 7:39 PM, "Adrien Grand" adrien@elastic.co wrote:

This is because of your analyzer: it splits "BRITISH INDIAN OCEAN
TERRITORY" into ["british", "indian", "ocean", "territory"] and one of
these terms ("indian") starts with "in".

What you probably want is to apply an analyzer that only does lowercasing,
for instance by wrapping a keyword tokenizer and a lowercase token filter.

On Fri, Apr 3, 2015 at 2:34 PM, James Crone arafay696@gmail.com wrote:

prefix query is not returning the correct results..
in ISO Country data.. my query was

{"query":{"bool":{"must":[{"prefix":{"country.name":"in"}}
],"must_not":,"should":}},"from":0,"size":50,"sort":,"facets":{}}
and the returned result is:
{ took: 3 timed_out: false _shards: { total: 5 successful: 5 failed: 0 }
hits: { total: 3 max_score: 1 hits: [ { _index: restdb _type: country _id
: sX3-aNGBQaOjo-L7zNj7qQ _score: 1_source: { id: 519fcbc
e820ea8950373612b code: ID name: INDONESIA } }{ _index: restdb _type:
country _id: YMXpIxaPRzmkMZqaKQ36pw _score: 1_source: { id:
519fcbce820ea895037360e4 code: IO name: BRITISH INDIAN OCEAN TERRITORY
}}{ _index: restdb _type: country _id: Ok9MHCr4RLqjH6oFLX92EA _score: 1
_source: { id: 519fcbce820ea8950373612a code: IN name: INDIA }}
] } }

As, you can see, red coloured data, is not matching prefix query..
Am i correct i need to do something else.., if not please help me to find
out correct way to do so, else, give me go ahead, to post this as bug.

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--
Adrien

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Have you tried Countries.Name.Untouched?

On Friday, April 3, 2015 at 9:06:17 AM UTC-6, James Crone wrote:

I have try analyzer on specific index field by creating multifield. And it
looks like:
"Countries" : {
"Properties" : {
"Name" : {
"Type" : "string",
"Fields" : {
"Untouched" : {
"Type" : "string",
"Index" : "no_anylzer"
}
}
}
}

}

Is it true? If yes how can I query for this field?
On Apr 3, 2015 7:39 PM, "Adrien Grand" <adr...@elastic.co <javascript:>>
wrote:

This is because of your analyzer: it splits "BRITISH INDIAN OCEAN
TERRITORY" into ["british", "indian", "ocean", "territory"] and one of
these terms ("indian") starts with "in".

What you probably want is to apply an analyzer that only does
lowercasing, for instance by wrapping a keyword tokenizer and a lowercase
token filter.

On Fri, Apr 3, 2015 at 2:34 PM, James Crone <araf...@gmail.com
<javascript:>> wrote:

prefix query is not returning the correct results..
in ISO Country data.. my query was

{"query":{"bool":{"must":[{"prefix":{"country.name":"in"}}
],"must_not":,"should":}},"from":0,"size":50,"sort":,"facets":{}}
and the returned result is:
{ took: 3 timed_out: false _shards: { total: 5 successful: 5 failed: 0
} hits: { total: 3 max_score: 1 hits: [ { _index: restdb _type: country
_id: sX3-aNGBQaOjo-L7zNj7qQ _score: 1_source: { id: 519fcbc
e820ea8950373612b code: ID name: INDONESIA } }{ _index: restdb _type:
country _id: YMXpIxaPRzmkMZqaKQ36pw _score: 1_source: { id:
519fcbce820ea895037360e4 code: IO name: BRITISH INDIAN OCEAN TERRITORY
}}{ _index: restdb _type: country _id: Ok9MHCr4RLqjH6oFLX92EA _score: 1
_source: { id: 519fcbce820ea8950373612a code: IN name: INDIA }}
] } }

As, you can see, red coloured data, is not matching prefix query..
Am i correct i need to do something else.., if not please help me to
find out correct way to do so, else, give me go ahead, to post this as bug.

--
You received this message because you are subscribed to the Google
Groups "elasticsearch" group.
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For more options, visit https://groups.google.com/d/optout.

--
Adrien

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Yes I try. Actually I am using PHP API. So its return error. Here"s my
query:
$s = "{
"Query" : {
"Prefix" : { "countries.name.untouched" : "IN" }
}

}";
On Apr 3, 2015 9:05 PM, "Aaron Mefford" aaron@mefford.org wrote:

Have you tried Countries.Name.Untouched?

On Friday, April 3, 2015 at 9:06:17 AM UTC-6, James Crone wrote:

I have try analyzer on specific index field by creating multifield. And
it looks like:
"Countries" : {
"Properties" : {
"Name" : {
"Type" : "string",
"Fields" : {
"Untouched" : {
"Type" : "string",
"Index" : "no_anylzer"
}
}
}
}

}

Is it true? If yes how can I query for this field?
On Apr 3, 2015 7:39 PM, "Adrien Grand" adr...@elastic.co wrote:

This is because of your analyzer: it splits "BRITISH INDIAN OCEAN
TERRITORY" into ["british", "indian", "ocean", "territory"] and one of
these terms ("indian") starts with "in".

What you probably want is to apply an analyzer that only does
lowercasing, for instance by wrapping a keyword tokenizer and a lowercase
token filter.

On Fri, Apr 3, 2015 at 2:34 PM, James Crone araf...@gmail.com wrote:

prefix query is not returning the correct results..
in ISO Country data.. my query was

{"query":{"bool":{"must":[{"prefix":{"country.name":"in"}}],
"must_not":,"should":}},"from":0,"size":50,"sort":,"facets":{}}
and the returned result is:
{ took: 3 timed_out: false _shards: { total: 5 successful: 5 failed: 0
} hits: { total: 3 max_score: 1 hits: [ { _index: restdb _type:
country _id: sX3-aNGBQaOjo-L7zNj7qQ _score: 1_source: { id: 519fcbc
e820ea8950373612b code: ID name: INDONESIA } }{ _index: restdb _type:
country _id: YMXpIxaPRzmkMZqaKQ36pw _score: 1_source: { id:
519fcbce820ea895037360e4 code: IO name: BRITISH INDIAN OCEAN
TERRITORY
}}{ _index: restdb _type: country _id: Ok9MHCr4RLq
jH6oFLX92EA _score: 1_source: { id: 519fcbce820ea8950373612a code: IN
name: INDIA }}
] } }

As, you can see, red coloured data, is not matching prefix query..
Am i correct i need to do something else.., if not please help me to
find out correct way to do so, else, give me go ahead, to post this as bug.

--
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Adrien

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