Term query no hits was Re: No parser for element [term]

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1

Thank you very much. I was in the process of drafting a message that I
found that and made the query to look like these:

{"query":{"term":{"label":""First instance node""}}}
{"query":{"term":{"inOf":"NodeBuilderType"}}}

Neither returns any hits.
In the same system, I did a text search with this query:
{"query":{"multi_match":{"query":"topic map","fields":["details","label"]}}}

and that worked perfectly.
So, I have two open issues:
1- what's wrong with term query?
2- there were 145 hits on the text search; need to configure the query
to do paging through those hits.

Many thanks for this help
Jack

On Wed, Jul 16, 2014 at 9:48 AM, David Pilato david@pilato.fr wrote:

You need to put it in a query.

Have a look at
Elasticsearch Platform — Find real-time answers at scale | Elastic

--
David :wink:
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 16 juil. 2014 à 18:04, Jack Park jackpark@topicquests.org a écrit :

This exact query is not found in the list, so here goes. Just upgraded to
1.2.2.

The query documentation
Elasticsearch Platform — Find real-time answers at scale | Elastic
gives this example:

{
"term" : { "user" : "kimchy" }
}

So, my querydsl written for nodejs is this:

{"term":{"inOf":"NodeBuilderType"}}

I happen to know that documents satisfying that query exist, for instance:
{"lox":"NodeBuilderSecondTopic","crtr":"SystemUser","sIco":"","lIco":"","crDt":"2014-07-16T08:45:21","srtDt":1405525521801,"lEdDt":"2014-07-16T08:45:21","isPrv":"false","label":["First
instance node"],"details":["Seems
likely"],"inOf":"NodeBuilderType","trCl",["NodeBuilderType","ASuperClass"],"sbOf":["ASuperClass"]}

What I get back is an enormous stack trace, a portion of which from
the error log below.

Am I missing something?

Many thanks in advance.
Jack

[2014-07-16 08:53:20.332] [ERROR] TopicMap - DP.__listNodesByQuery
{"term":{"inOf":"NodeBuilderType"}} | Error:
{"error":"SearchPhaseExecutionException[Failed to execute phase
[query], all shards failed; shardFailures
{[cawnH8a8S32Bpl96txGwyw][topics][2]:
SearchParseException[[topics][2]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][2]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][3]:
SearchParseException[[topics][3]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][3]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][0]:
SearchParseException[[topics][0]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][0]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][1]:
SearchParseException[[topics][1]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][1]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][4]:
SearchParseException[[topics][4]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][4]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]]; }]","status":400}

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2

By default, string fields are analyzed using the standard analyzer, which
will tokenize and lowercase the input (I believe stop words are now NOT
removed). A term query does not analyze the query, so it only works on non
analyzed fields (or fields that use a keyword tokenizer). A term query for
"kimchy" works because it already is lowercased and only has one token.

Try using a match query or set the field to be non analyzed. The choice
depends on your other use cases (do you require partial matching?).

Cheers,

Ivan

On Wed, Jul 16, 2014 at 10:21 AM, Jack Park jackpark@topicquests.org
wrote:

Thank you very much. I was in the process of drafting a message that I
found that and made the query to look like these:

{"query":{"term":{"label":""First instance node""}}}
{"query":{"term":{"inOf":"NodeBuilderType"}}}

Neither returns any hits.
In the same system, I did a text search with this query:
{"query":{"multi_match":{"query":"topic
map","fields":["details","label"]}}}

and that worked perfectly.
So, I have two open issues:
1- what's wrong with term query?
2- there were 145 hits on the text search; need to configure the query
to do paging through those hits.

Many thanks for this help
Jack

On Wed, Jul 16, 2014 at 9:48 AM, David Pilato david@pilato.fr wrote:

You need to put it in a query.

Have a look at

Elasticsearch Platform — Find real-time answers at scale | Elastic

--
David :wink:
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 16 juil. 2014 à 18:04, Jack Park jackpark@topicquests.org a écrit :

This exact query is not found in the list, so here goes. Just upgraded to
1.2.2.

The query documentation

Elasticsearch Platform — Find real-time answers at scale | Elastic

gives this example:

{
"term" : { "user" : "kimchy" }
}

So, my querydsl written for nodejs is this:

{"term":{"inOf":"NodeBuilderType"}}

I happen to know that documents satisfying that query exist, for
instance:

{"lox":"NodeBuilderSecondTopic","crtr":"SystemUser","sIco":"","lIco":"","crDt":"2014-07-16T08:45:21","srtDt":1405525521801,"lEdDt":"2014-07-16T08:45:21","isPrv":"false","label":["First

instance node"],"details":["Seems

likely"],"inOf":"NodeBuilderType","trCl",["NodeBuilderType","ASuperClass"],"sbOf":["ASuperClass"]}

What I get back is an enormous stack trace, a portion of which from
the error log below.

Am I missing something?

Many thanks in advance.
Jack

[2014-07-16 08:53:20.332] [ERROR] TopicMap - DP.__listNodesByQuery
{"term":{"inOf":"NodeBuilderType"}} | Error:
{"error":"SearchPhaseExecutionException[Failed to execute phase
[query], all shards failed; shardFailures
{[cawnH8a8S32Bpl96txGwyw][topics][2]:
SearchParseException[[topics][2]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][2]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][3]:
SearchParseException[[topics][3]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][3]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][0]:
SearchParseException[[topics][0]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][0]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][1]:
SearchParseException[[topics][1]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][1]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][4]:
SearchParseException[[topics][4]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][4]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]]; }]","status":400}

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3

Thanks Ivan.

That term query on the label field was, in fact on an analyzed field.
What is of concern at the moment is that this query:
{"query":{"term":{"inOf":"NodeBuilderType"}}}
is on an unanalyzed field, defined thus:

    "inOf": {
        "index": "not_analyzed",
        "type": "string",
        "store": "yes"
    },

If all the ducks are lined up, it's not clear what the problem is for
that query.

On Wed, Jul 16, 2014 at 10:27 AM, Ivan Brusic ivan@brusic.com wrote:

By default, string fields are analyzed using the standard analyzer, which
will tokenize and lowercase the input (I believe stop words are now NOT
removed). A term query does not analyze the query, so it only works on non
analyzed fields (or fields that use a keyword tokenizer). A term query for
"kimchy" works because it already is lowercased and only has one token.

Try using a match query or set the field to be non analyzed. The choice
depends on your other use cases (do you require partial matching?).

Cheers,

Ivan

On Wed, Jul 16, 2014 at 10:21 AM, Jack Park jackpark@topicquests.org
wrote:

Thank you very much. I was in the process of drafting a message that I
found that and made the query to look like these:

{"query":{"term":{"label":""First instance node""}}}
{"query":{"term":{"inOf":"NodeBuilderType"}}}

Neither returns any hits.
In the same system, I did a text search with this query:
{"query":{"multi_match":{"query":"topic
map","fields":["details","label"]}}}

and that worked perfectly.
So, I have two open issues:
1- what's wrong with term query?
2- there were 145 hits on the text search; need to configure the query
to do paging through those hits.

Many thanks for this help
Jack

On Wed, Jul 16, 2014 at 9:48 AM, David Pilato david@pilato.fr wrote:

You need to put it in a query.

Have a look at

Elasticsearch Platform — Find real-time answers at scale | Elastic

--
David :wink:
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 16 juil. 2014 à 18:04, Jack Park jackpark@topicquests.org a écrit :

This exact query is not found in the list, so here goes. Just upgraded
to
1.2.2.

The query documentation

Elasticsearch Platform — Find real-time answers at scale | Elastic
gives this example:

{
"term" : { "user" : "kimchy" }
}

So, my querydsl written for nodejs is this:

{"term":{"inOf":"NodeBuilderType"}}

I happen to know that documents satisfying that query exist, for
instance:

{"lox":"NodeBuilderSecondTopic","crtr":"SystemUser","sIco":"","lIco":"","crDt":"2014-07-16T08:45:21","srtDt":1405525521801,"lEdDt":"2014-07-16T08:45:21","isPrv":"false","label":["First
instance node"],"details":["Seems

likely"],"inOf":"NodeBuilderType","trCl",["NodeBuilderType","ASuperClass"],"sbOf":["ASuperClass"]}

What I get back is an enormous stack trace, a portion of which from
the error log below.

Am I missing something?

Many thanks in advance.
Jack

[2014-07-16 08:53:20.332] [ERROR] TopicMap - DP.__listNodesByQuery
{"term":{"inOf":"NodeBuilderType"}} | Error:
{"error":"SearchPhaseExecutionException[Failed to execute phase
[query], all shards failed; shardFailures
{[cawnH8a8S32Bpl96txGwyw][topics][2]:
SearchParseException[[topics][2]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][2]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][3]:
SearchParseException[[topics][3]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][3]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][0]:
SearchParseException[[topics][0]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][0]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][1]:
SearchParseException[[topics][1]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][1]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][4]:
SearchParseException[[topics][4]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][4]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]]; }]","status":400}

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4

I would verify that the field is in fact non_analyzed and that your data is
indexed in the way you think it is. Use the analyze API to analyze the
term. Make sure you use the last example, which is based on the field.

A term query will do an exact match. If your field is in fact correct, post
an example mapping and document.

Cheers,

Ivan

On Wed, Jul 16, 2014 at 10:43 AM, Jack Park jackpark@topicquests.org
wrote:

Thanks Ivan.

That term query on the label field was, in fact on an analyzed field.
What is of concern at the moment is that this query:
{"query":{"term":{"inOf":"NodeBuilderType"}}}
is on an unanalyzed field, defined thus:

    "inOf": {
        "index": "not_analyzed",
        "type": "string",
        "store": "yes"
    },

If all the ducks are lined up, it's not clear what the problem is for
that query.

On Wed, Jul 16, 2014 at 10:27 AM, Ivan Brusic ivan@brusic.com wrote:

By default, string fields are analyzed using the standard analyzer, which
will tokenize and lowercase the input (I believe stop words are now NOT
removed). A term query does not analyze the query, so it only works on
non
analyzed fields (or fields that use a keyword tokenizer). A term query
for
"kimchy" works because it already is lowercased and only has one token.

Try using a match query or set the field to be non analyzed. The choice
depends on your other use cases (do you require partial matching?).

Cheers,

Ivan

On Wed, Jul 16, 2014 at 10:21 AM, Jack Park jackpark@topicquests.org
wrote:

Thank you very much. I was in the process of drafting a message that I
found that and made the query to look like these:

{"query":{"term":{"label":""First instance node""}}}
{"query":{"term":{"inOf":"NodeBuilderType"}}}

Neither returns any hits.
In the same system, I did a text search with this query:
{"query":{"multi_match":{"query":"topic
map","fields":["details","label"]}}}

and that worked perfectly.
So, I have two open issues:
1- what's wrong with term query?
2- there were 145 hits on the text search; need to configure the query
to do paging through those hits.

Many thanks for this help
Jack

On Wed, Jul 16, 2014 at 9:48 AM, David Pilato david@pilato.fr wrote:

You need to put it in a query.

Have a look at

Elasticsearch Platform — Find real-time answers at scale | Elastic

--
David :wink:
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 16 juil. 2014 à 18:04, Jack Park jackpark@topicquests.org a
écrit :

This exact query is not found in the list, so here goes. Just upgraded
to
1.2.2.

The query documentation

Elasticsearch Platform — Find real-time answers at scale | Elastic

gives this example:

{
"term" : { "user" : "kimchy" }
}

So, my querydsl written for nodejs is this:

{"term":{"inOf":"NodeBuilderType"}}

I happen to know that documents satisfying that query exist, for
instance:

{"lox":"NodeBuilderSecondTopic","crtr":"SystemUser","sIco":"","lIco":"","crDt":"2014-07-16T08:45:21","srtDt":1405525521801,"lEdDt":"2014-07-16T08:45:21","isPrv":"false","label":["First

instance node"],"details":["Seems

likely"],"inOf":"NodeBuilderType","trCl",["NodeBuilderType","ASuperClass"],"sbOf":["ASuperClass"]}

What I get back is an enormous stack trace, a portion of which from
the error log below.

Am I missing something?

Many thanks in advance.
Jack

[2014-07-16 08:53:20.332] [ERROR] TopicMap - DP.__listNodesByQuery
{"term":{"inOf":"NodeBuilderType"}} | Error:
{"error":"SearchPhaseExecutionException[Failed to execute phase
[query], all shards failed; shardFailures
{[cawnH8a8S32Bpl96txGwyw][topics][2]:
SearchParseException[[topics][2]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][2]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][3]:
SearchParseException[[topics][3]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][3]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][0]:
SearchParseException[[topics][0]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][0]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][1]:
SearchParseException[[topics][1]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][1]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][4]:
SearchParseException[[topics][4]: from[-1],size[-1]: Parse Failure
[Failed to parse source [{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][4]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]]; }]","status":400}

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5

What I know at the moment is this: If I change "term" to "match", it
gets the right answers.
In some sense, that suggests that even though my mappings.json says
that the field is not-analyzed, it's behaving as if it has been
analyzed.

On Wed, Jul 16, 2014 at 11:00 AM, Ivan Brusic ivan@brusic.com wrote:

I would verify that the field is in fact non_analyzed and that your data is
indexed in the way you think it is. Use the analyze API to analyze the term.
Make sure you use the last example, which is based on the field.

Elasticsearch Platform — Find real-time answers at scale | Elastic

A term query will do an exact match. If your field is in fact correct, post
an example mapping and document.

Cheers,

Ivan

On Wed, Jul 16, 2014 at 10:43 AM, Jack Park jackpark@topicquests.org
wrote:

Thanks Ivan.

That term query on the label field was, in fact on an analyzed field.
What is of concern at the moment is that this query:
{"query":{"term":{"inOf":"NodeBuilderType"}}}
is on an unanalyzed field, defined thus:

    "inOf": {
        "index": "not_analyzed",
        "type": "string",
        "store": "yes"
    },

If all the ducks are lined up, it's not clear what the problem is for
that query.

On Wed, Jul 16, 2014 at 10:27 AM, Ivan Brusic ivan@brusic.com wrote:

By default, string fields are analyzed using the standard analyzer,
which
will tokenize and lowercase the input (I believe stop words are now NOT
removed). A term query does not analyze the query, so it only works on
non
analyzed fields (or fields that use a keyword tokenizer). A term query
for
"kimchy" works because it already is lowercased and only has one token.

Try using a match query or set the field to be non analyzed. The choice
depends on your other use cases (do you require partial matching?).

Cheers,

Ivan

On Wed, Jul 16, 2014 at 10:21 AM, Jack Park jackpark@topicquests.org
wrote:

Thank you very much. I was in the process of drafting a message that I
found that and made the query to look like these:

{"query":{"term":{"label":""First instance node""}}}
{"query":{"term":{"inOf":"NodeBuilderType"}}}

Neither returns any hits.
In the same system, I did a text search with this query:
{"query":{"multi_match":{"query":"topic
map","fields":["details","label"]}}}

and that worked perfectly.
So, I have two open issues:
1- what's wrong with term query?
2- there were 145 hits on the text search; need to configure the query
to do paging through those hits.

Many thanks for this help
Jack

On Wed, Jul 16, 2014 at 9:48 AM, David Pilato david@pilato.fr wrote:

You need to put it in a query.

Have a look at

Elasticsearch Platform — Find real-time answers at scale | Elastic

--
David :wink:
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 16 juil. 2014 à 18:04, Jack Park jackpark@topicquests.org a
écrit :

This exact query is not found in the list, so here goes. Just
upgraded
to
1.2.2.

The query documentation

Elasticsearch Platform — Find real-time answers at scale | Elastic
gives this example:

{
"term" : { "user" : "kimchy" }
}

So, my querydsl written for nodejs is this:

{"term":{"inOf":"NodeBuilderType"}}

I happen to know that documents satisfying that query exist, for
instance:

{"lox":"NodeBuilderSecondTopic","crtr":"SystemUser","sIco":"","lIco":"","crDt":"2014-07-16T08:45:21","srtDt":1405525521801,"lEdDt":"2014-07-16T08:45:21","isPrv":"false","label":["First
instance node"],"details":["Seems

likely"],"inOf":"NodeBuilderType","trCl",["NodeBuilderType","ASuperClass"],"sbOf":["ASuperClass"]}

What I get back is an enormous stack trace, a portion of which from
the error log below.

Am I missing something?

Many thanks in advance.
Jack

[2014-07-16 08:53:20.332] [ERROR] TopicMap - DP.__listNodesByQuery
{"term":{"inOf":"NodeBuilderType"}} | Error:
{"error":"SearchPhaseExecutionException[Failed to execute phase
[query], all shards failed; shardFailures
{[cawnH8a8S32Bpl96txGwyw][topics][2]:
SearchParseException[[topics][2]: from[-1],size[-1]: Parse Failure
[Failed to parse source
[{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][2]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][3]:
SearchParseException[[topics][3]: from[-1],size[-1]: Parse Failure
[Failed to parse source
[{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][3]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][0]:
SearchParseException[[topics][0]: from[-1],size[-1]: Parse Failure
[Failed to parse source
[{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][0]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][1]:
SearchParseException[[topics][1]: from[-1],size[-1]: Parse Failure
[Failed to parse source
[{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][1]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][4]:
SearchParseException[[topics][4]: from[-1],size[-1]: Parse Failure
[Failed to parse source
[{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][4]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]]; }]","status":400}

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6

Do not rely on what your mapping template says and use the get mapping API
to find out what the mapping really is:

Since many settings cannot be changed after an index is created, older
settings can be in effect.

--
Ivan

On Wed, Jul 16, 2014 at 1:42 PM, Jack Park jackpark@topicquests.org wrote:

What I know at the moment is this: If I change "term" to "match", it
gets the right answers.
In some sense, that suggests that even though my mappings.json says
that the field is not-analyzed, it's behaving as if it has been
analyzed.

On Wed, Jul 16, 2014 at 11:00 AM, Ivan Brusic ivan@brusic.com wrote:

I would verify that the field is in fact non_analyzed and that your data
is
indexed in the way you think it is. Use the analyze API to analyze the
term.
Make sure you use the last example, which is based on the field.

Elasticsearch Platform — Find real-time answers at scale | Elastic

A term query will do an exact match. If your field is in fact correct,
post
an example mapping and document.

Cheers,

Ivan

On Wed, Jul 16, 2014 at 10:43 AM, Jack Park jackpark@topicquests.org
wrote:

Thanks Ivan.

That term query on the label field was, in fact on an analyzed field.
What is of concern at the moment is that this query:
{"query":{"term":{"inOf":"NodeBuilderType"}}}
is on an unanalyzed field, defined thus:

    "inOf": {
        "index": "not_analyzed",
        "type": "string",
        "store": "yes"
    },

If all the ducks are lined up, it's not clear what the problem is for
that query.

On Wed, Jul 16, 2014 at 10:27 AM, Ivan Brusic ivan@brusic.com wrote:

By default, string fields are analyzed using the standard analyzer,
which
will tokenize and lowercase the input (I believe stop words are now
NOT
removed). A term query does not analyze the query, so it only works on
non
analyzed fields (or fields that use a keyword tokenizer). A term query
for
"kimchy" works because it already is lowercased and only has one
token.

Try using a match query or set the field to be non analyzed. The
choice
depends on your other use cases (do you require partial matching?).

Cheers,

Ivan

On Wed, Jul 16, 2014 at 10:21 AM, Jack Park <jackpark@topicquests.org

wrote:

Thank you very much. I was in the process of drafting a message that
I
found that and made the query to look like these:

{"query":{"term":{"label":""First instance node""}}}
{"query":{"term":{"inOf":"NodeBuilderType"}}}

Neither returns any hits.
In the same system, I did a text search with this query:
{"query":{"multi_match":{"query":"topic
map","fields":["details","label"]}}}

and that worked perfectly.
So, I have two open issues:
1- what's wrong with term query?
2- there were 145 hits on the text search; need to configure the
query
to do paging through those hits.

Many thanks for this help
Jack

On Wed, Jul 16, 2014 at 9:48 AM, David Pilato david@pilato.fr
wrote:

You need to put it in a query.

Have a look at

Elasticsearch Platform — Find real-time answers at scale | Elastic

--
David :wink:
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 16 juil. 2014 à 18:04, Jack Park jackpark@topicquests.org a
écrit :

This exact query is not found in the list, so here goes. Just
upgraded
to
1.2.2.

The query documentation

Elasticsearch Platform — Find real-time answers at scale | Elastic

gives this example:

{
"term" : { "user" : "kimchy" }
}

So, my querydsl written for nodejs is this:

{"term":{"inOf":"NodeBuilderType"}}

I happen to know that documents satisfying that query exist, for
instance:

{"lox":"NodeBuilderSecondTopic","crtr":"SystemUser","sIco":"","lIco":"","crDt":"2014-07-16T08:45:21","srtDt":1405525521801,"lEdDt":"2014-07-16T08:45:21","isPrv":"false","label":["First

instance node"],"details":["Seems

likely"],"inOf":"NodeBuilderType","trCl",["NodeBuilderType","ASuperClass"],"sbOf":["ASuperClass"]}

What I get back is an enormous stack trace, a portion of which from
the error log below.

Am I missing something?

Many thanks in advance.
Jack

[2014-07-16 08:53:20.332] [ERROR] TopicMap - DP.__listNodesByQuery
{"term":{"inOf":"NodeBuilderType"}} | Error:
{"error":"SearchPhaseExecutionException[Failed to execute phase
[query], all shards failed; shardFailures
{[cawnH8a8S32Bpl96txGwyw][topics][2]:
SearchParseException[[topics][2]: from[-1],size[-1]: Parse Failure
[Failed to parse source
[{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][2]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][3]:
SearchParseException[[topics][3]: from[-1],size[-1]: Parse Failure
[Failed to parse source
[{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][3]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][0]:
SearchParseException[[topics][0]: from[-1],size[-1]: Parse Failure
[Failed to parse source
[{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][0]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][1]:
SearchParseException[[topics][1]: from[-1],size[-1]: Parse Failure
[Failed to parse source
[{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][1]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]];
}{[cawnH8a8S32Bpl96txGwyw][topics][4]:
SearchParseException[[topics][4]: from[-1],size[-1]: Parse Failure
[Failed to parse source
[{"term":{"inOf":"NodeBuilderType"}}]]];
nested: SearchParseException[[topics][4]: from[-1],size[-1]: Parse
Failure [No parser for element [term]]]; }]","status":400}

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7

Here are the mappings I dumped by adding that function to my client:

{"topics":{"mappings":{"core":{"properties":{"crDt":{"type":"date","format":"dat
eOptionalTime"},"crtr":{"type":"string"},"details":{"type":"string"},"inOf":{"ty
pe":"string"},"isPrv":{"type":"string"},"lEdDt":{"type":"date","format":"dateOpt
ionalTime"},"lIco":{"type":"string"},"label":{"type":"string"},"lox":{"type":"st
ring"},"sIco":{"type":"string"},"sbOf":{"type":"string"},"srtDt":{"type":"long"}
,"trCl":{"type":"string"}}}}}}

There are no fields for "index" or "store" where
"index":"not_analyzed" was used where appropriate.

A snippet of the mappings.json is below. I would like to know why ES
ignored the values.

Many thanks
Jack

{
"properties": {
"lox": {
"index": "not_analyzed",
"type": "string",
"store": "yes"
},
"inOf": {
"index": "not_analyzed",
"type": "string",
"store": "yes"
},
"_ver": {
"index": "not_analyzed",
"type": "string",
"store": "yes"
},
"srtDt": {
"index": "not_analyzed",
"type": "long",
"store": "yes"
},
"tpC": {
"index": "not_analyzed",
"type": "long",
"store": "yes"
},
"lists": {
"properties": {
"sbOf": {
"index": "not_analyzed",
"type": "string",
"store": "yes"
},
"label": {
"index": "analyzed",
"type": "string",
"store": "yes"
},
"details": {
"index": "analyzed",
"type": "string",
"store": "yes"
}

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8

As predicted, your actual mapping does not match your perceived mapping.

Something is not matching up. Perhaps the mapping is for a different index
or type. Best way is to share your mapping and perhaps how you created your
index as indicated at Elasticsearch Platform — Find real-time answers at scale | Elastic

--
Ivan

On Wed, Jul 16, 2014 at 2:33 PM, Jack Park jackpark@topicquests.org wrote:

Here are the mappings I dumped by adding that function to my client:

{"topics":{"mappings":{"core":{"properties":{"crDt":{"type":"date","format":"dat

eOptionalTime"},"crtr":{"type":"string"},"details":{"type":"string"},"inOf":{"ty

pe":"string"},"isPrv":{"type":"string"},"lEdDt":{"type":"date","format":"dateOpt

ionalTime"},"lIco":{"type":"string"},"label":{"type":"string"},"lox":{"type":"st

ring"},"sIco":{"type":"string"},"sbOf":{"type":"string"},"srtDt":{"type":"long"}
,"trCl":{"type":"string"}}}}}}

There are no fields for "index" or "store" where
"index":"not_analyzed" was used where appropriate.

A snippet of the mappings.json is below. I would like to know why ES
ignored the values.

Many thanks
Jack

{
"properties": {
"lox": {
"index": "not_analyzed",
"type": "string",
"store": "yes"
},
"inOf": {
"index": "not_analyzed",
"type": "string",
"store": "yes"
},
"_ver": {
"index": "not_analyzed",
"type": "string",
"store": "yes"
},
"srtDt": {
"index": "not_analyzed",
"type": "long",
"store": "yes"
},
"tpC": {
"index": "not_analyzed",
"type": "long",
"store": "yes"
},
"lists": {
"properties": {
"sbOf": {
"index": "not_analyzed",
"type": "string",
"store": "yes"
},
"label": {
"index": "analyzed",
"type": "string",
"store": "yes"
},
"details": {
"index": "analyzed",
"type": "string",
"store": "yes"
}

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