Match query against Stored & Unindexed Field (Not storing source)

Hi all,

I'm trying to build a side-set of data for some people by querying the
'sourceName' field of an index. This field (as you can see from the
mapping) is stored and not indexed. I'm also NOT storing the source:

  • mappings: {
    • doc: {
      • _source: {
        • enabled: false
          }
      • properties: {
        • sourceTypeName: {
          • index: no
          • type: string
            }
        • pubDate: {
          • store: true
          • format: dd MMM yyyy HH:mm:ss
          • type: date
            }
        • text: {
          • store: true
          • analyzer: standard
          • term_vector: with_positions_offsets
          • type: string
            }
        • coverageId: {
          • index: no
          • type: string
            }
        • coverageName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • sourceTypeId: {
          • index: no
          • type: string
            }
        • locationId: {
          • index: no
          • type: string
            }
        • nativeName: {
          • index: no
          • type: string
            }
        • routingId: {
          • type: string
            }
        • locationName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • url: {
          • index: no
          • store: true
          • type: string
            }
        • articleId: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • capDate: {
          • index: no
          • type: string
            }
        • languageName: {
          • index: no
          • type: string
            }
        • robotName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • title: {
          • store: true
          • analyzer: standard
          • term_vector: with_positions_offsets
          • type: string
            }
        • languageCode: {
          • index: no
          • type: string
            }
        • scopeType: {
          • index: no
          • type: string
            }
        • sourceName: {
          • index: no
          • store: true
          • type: string
            }
        • encoding: {
          • index: no
          • type: string
            }
        • trTitle: {
          • store: true
          • term_vector: with_positions_offsets
          • type: string
            }
        • scopeId: {
          • index: no
          • type: string
            }
            }
            }
            }

I've tried running both a match query and a query string against the field
with data that I know exists and I continuously get 0 results:

Data that exists in ES index:

  • fields: {
    • sourceName: [
      • The Daily Telegraph
        ]
        }

My match query that returns NO results:

{
"query" : {
"match" : {
"sourceName" : "The Daily Telegraph"
}
}
}

My query string that returns NO results:

{
"query" : {
"query_string" : {
"default_field" : "sourceName",
"query" : "The Daily Telegraph"
}
}
}

My questions are:

  1. Can I even query against the field if it is stored, not indexed, and
    there's no source?
  2. If I can, why am I getting no results if I know the data exists?

Thanks in advance for any assistance!

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Settings a field to "index: no" means you do not want to search on the
field.

A field with "store: yes" means the original content of the field values is
stored in the Lucene data structure. It does not enable search per se.

Jörg

On Wed, May 7, 2014 at 6:18 PM, Aaron Troy atoy3731@gmail.com wrote:

Hi all,

I'm trying to build a side-set of data for some people by querying the
'sourceName' field of an index. This field (as you can see from the
mapping) is stored and not indexed. I'm also NOT storing the source:

  • mappings: {
    • doc: {
      • _source: {
        • enabled: false
          }
      • properties: {
        • sourceTypeName: {
          • index: no
          • type: string
            }
        • pubDate: {
          • store: true
          • format: dd MMM yyyy HH:mm:ss
          • type: date
            }
        • text: {
          • store: true
          • analyzer: standard
          • term_vector: with_positions_offsets
          • type: string
            }
        • coverageId: {
          • index: no
          • type: string
            }
        • coverageName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • sourceTypeId: {
          • index: no
          • type: string
            }
        • locationId: {
          • index: no
          • type: string
            }
        • nativeName: {
          • index: no
          • type: string
            }
        • routingId: {
          • type: string
            }
        • locationName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • url: {
          • index: no
          • store: true
          • type: string
            }
        • articleId: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • capDate: {
          • index: no
          • type: string
            }
        • languageName: {
          • index: no
          • type: string
            }
        • robotName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • title: {
          • store: true
          • analyzer: standard
          • term_vector: with_positions_offsets
          • type: string
            }
        • languageCode: {
          • index: no
          • type: string
            }
        • scopeType: {
          • index: no
          • type: string
            }
        • sourceName: {
          • index: no
          • store: true
          • type: string
            }
        • encoding: {
          • index: no
          • type: string
            }
        • trTitle: {
          • store: true
          • term_vector: with_positions_offsets
          • type: string
            }
        • scopeId: {
          • index: no
          • type: string
            }
            }
            }
            }

I've tried running both a match query and a query string against the field
with data that I know exists and I continuously get 0 results:

Data that exists in ES index:

  • fields: {
    • sourceName: [
      • The Daily Telegraph
        ]
        }

My match query that returns NO results:

{
"query" : {
"match" : {
"sourceName" : "The Daily Telegraph"
}
}
}

My query string that returns NO results:

{
"query" : {
"query_string" : {
"default_field" : "sourceName",
"query" : "The Daily Telegraph"
}
}
}

My questions are:

  1. Can I even query against the field if it is stored, not indexed, and
    there's no source?
  2. If I can, why am I getting no results if I know the data exists?

Thanks in advance for any assistance!

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Drat, that's what I was afraid of. So realistically, my only option is to
retrieve the entire dataset and programmatically filter results?

On Wednesday, May 7, 2014 12:34:25 PM UTC-4, Jörg Prante wrote:

Settings a field to "index: no" means you do not want to search on the
field.

A field with "store: yes" means the original content of the field values
is stored in the Lucene data structure. It does not enable search per se.

Jörg

On Wed, May 7, 2014 at 6:18 PM, Aaron Troy <atoy...@gmail.com<javascript:>

wrote:

Hi all,

I'm trying to build a side-set of data for some people by querying the
'sourceName' field of an index. This field (as you can see from the
mapping) is stored and not indexed. I'm also NOT storing the source:

  • mappings: {
    • doc: {
      • _source: {
        • enabled: false
          }
      • properties: {
        • sourceTypeName: {
          • index: no
          • type: string
            }
        • pubDate: {
          • store: true
          • format: dd MMM yyyy HH:mm:ss
          • type: date
            }
        • text: {
          • store: true
          • analyzer: standard
          • term_vector: with_positions_offsets
          • type: string
            }
        • coverageId: {
          • index: no
          • type: string
            }
        • coverageName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • sourceTypeId: {
          • index: no
          • type: string
            }
        • locationId: {
          • index: no
          • type: string
            }
        • nativeName: {
          • index: no
          • type: string
            }
        • routingId: {
          • type: string
            }
        • locationName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • url: {
          • index: no
          • store: true
          • type: string
            }
        • articleId: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • capDate: {
          • index: no
          • type: string
            }
        • languageName: {
          • index: no
          • type: string
            }
        • robotName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • title: {
          • store: true
          • analyzer: standard
          • term_vector: with_positions_offsets
          • type: string
            }
        • languageCode: {
          • index: no
          • type: string
            }
        • scopeType: {
          • index: no
          • type: string
            }
        • sourceName: {
          • index: no
          • store: true
          • type: string
            }
        • encoding: {
          • index: no
          • type: string
            }
        • trTitle: {
          • store: true
          • term_vector: with_positions_offsets
          • type: string
            }
        • scopeId: {
          • index: no
          • type: string
            }
            }
            }
            }

I've tried running both a match query and a query string against the
field with data that I know exists and I continuously get 0 results:

Data that exists in ES index:

  • fields: {
    • sourceName: [
      • The Daily Telegraph
        ]
        }

My match query that returns NO results:

{
"query" : {
"match" : {
"sourceName" : "The Daily Telegraph"
}
}
}

My query string that returns NO results:

{
"query" : {
"query_string" : {

        "default_field" : "sourceName",

        "query" : "The Daily Telegraph"

    }
}

}

My questions are:

  1. Can I even query against the field if it is stored, not indexed, and
    there's no source?
  2. If I can, why am I getting no results if I know the data exists?

Thanks in advance for any assistance!

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You can write a script filter to do it I believe but it won't be quick.

Nik

On Wed, May 7, 2014 at 12:37 PM, Aaron Troy atoy3731@gmail.com wrote:

Drat, that's what I was afraid of. So realistically, my only option is to
retrieve the entire dataset and programmatically filter results?

On Wednesday, May 7, 2014 12:34:25 PM UTC-4, Jörg Prante wrote:

Settings a field to "index: no" means you do not want to search on the
field.

A field with "store: yes" means the original content of the field values
is stored in the Lucene data structure. It does not enable search per se.

Jörg

On Wed, May 7, 2014 at 6:18 PM, Aaron Troy atoy...@gmail.com wrote:

Hi all,

I'm trying to build a side-set of data for some people by querying the
'sourceName' field of an index. This field (as you can see from the
mapping) is stored and not indexed. I'm also NOT storing the source:

  • mappings: {
    • doc: {
      • _source: {
        • enabled: false
          }
      • properties: {
        • sourceTypeName: {
          • index: no
          • type: string
            }
        • pubDate: {
          • store: true
          • format: dd MMM yyyy HH:mm:ss
          • type: date
            }
        • text: {
          • store: true
          • analyzer: standard
          • term_vector: with_positions_offsets
          • type: string
            }
        • coverageId: {
          • index: no
          • type: string
            }
        • coverageName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • sourceTypeId: {
          • index: no
          • type: string
            }
        • locationId: {
          • index: no
          • type: string
            }
        • nativeName: {
          • index: no
          • type: string
            }
        • routingId: {
          • type: string
            }
        • locationName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • url: {
          • index: no
          • store: true
          • type: string
            }
        • articleId: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • capDate: {
          • index: no
          • type: string
            }
        • languageName: {
          • index: no
          • type: string
            }
        • robotName: {
          • index: not_analyzed
          • store: true
          • type: string
            }
        • title: {
          • store: true
          • analyzer: standard
          • term_vector: with_positions_offsets
          • type: string
            }
        • languageCode: {
          • index: no
          • type: string
            }
        • scopeType: {
          • index: no
          • type: string
            }
        • sourceName: {
          • index: no
          • store: true
          • type: string
            }
        • encoding: {
          • index: no
          • type: string
            }
        • trTitle: {
          • store: true
          • term_vector: with_positions_offsets
          • type: string
            }
        • scopeId: {
          • index: no
          • type: string
            }
            }
            }
            }

I've tried running both a match query and a query string against the
field with data that I know exists and I continuously get 0 results:

Data that exists in ES index:

  • fields: {
    • sourceName: [
      • The Daily Telegraph
        ]
        }

My match query that returns NO results:

{
"query" : {
"match" : {
"sourceName" : "The Daily Telegraph"
}
}
}

My query string that returns NO results:

{
"query" : {
"query_string" : {

        "default_field" : "sourceName",


        "query" : "The Daily Telegraph"


    }
}

}

My questions are:

  1. Can I even query against the field if it is stored, not indexed, and
    there's no source?
  2. If I can, why am I getting no results if I know the data exists?

Thanks in advance for any assistance!

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