I have this schema in elastic search.
79[
'ID' : '1233',
Geomtries:[{
'doc1' : 'F1',
'doc2' : 'F2'
},
(optional for some of the documents)
{
'doc2' : 'F1',
'doc3' : 'F2'
}]
]
the Geometries is a nested element.
I want to get all of the documents that have one object inside Geometries.
Tried so far :
"script" : {"script" : "if (Geomtries.size < 2) return true"}
But i get exceptions : no such property GEOMTRIES
If you have the field as type nested in the mapping, the typical doc[fieldkey].values.size() approached does not seem to work. I found the following script to work:
{
"from" : 0,
"size" : <SIZE>,
"query" : {
"filtered" : {
"filter" : {
"script" : {
"script" : "_source.containsKey('Geomtries') && _source['Geomtries'].size() == 1"
}
}
}
}
}
NB: You must use _source instead of doc.
The problem is in the way you access fields in your script, use:
doc['Geometry'].size()
or
_source.Geometry.size()
By the way for performance reasons, I would denormalize and add GeometryNumber field. You can use the transform mapping to compute size at index time.
Related
I am getting the results based on various filters in the Elasticsearch which also includes pagination.
Now I need to navigate between previous and next record from that search results, when we open a record of the search results.
Is there a way to achieve this through Elasticsearch?
You could use the from and size parameters of the Search API.
GET /_search
{
"from" : 0, "size" : 10,
"query" : {
"term" : { "user" : "kimchy" }
}
}
or
GET /_search?from=0&size=10
{
"query" : {
"term" : { "user" : "kimchy" }
}
}
Note the default value for size is 10.
I am new in elastic search. I am trying to understand this query but I could not succed in few things like field and script. I read official documents and get that Facet has been removed my aggregation and Attributelabels is a facet name but I could not understand full query. Can anyone explain it to me ?
Thank you
{
"size" : 0,
"facets" : {
"AttributeLabels" : {
"terms" : {
"field" : "field",
"size" : 50,
"script" : "scriptName",
"lang" : "lang"
}
}
}
}
https://www.elastic.co/guide/en/elasticsearch/reference/1.4/search-facets-terms-facet.html
Field - The field that the facet is evaluated on
Size - The number of top terms that are returned
Script - Either returns a string "term + 'aaa'" which becomes the term that is evaluated on or a boolean "term == 'aaa' ? true : false" which includes or excludes it from the facet collection
Lang - The scripting language used
But if you can, I recommend upgrading to Elasticsearch 2. :)
Using elastic search, I am trying to get data for nested object
BoolQueryBuilder boolBuilder = QueryBuilders.boolQuery();
NestedQueryBuilder nestedBuilder = QueryBuilders.nestedQuery("Attributes", boolBuilder);
boolBuilder.must(QueryBuilders.termQuery("Attributes.attributeId", "1001"));
Result comes if the query is like this,
{
"nested" : {
"query" : {
"bool" : {
"must" : [ {
"term" : {
"Attributes.attributeId" : "1001"
}
]
}
},
"path" : "Attributes"
}'
Result not coming if the query is like this,
{
"nested" : {
"query" : {
"bool" : {
"must" : [ {
"term" : {
"attributeId" : "1001"
}
]
}
},
"path" : "Attributes"
}
Can somebody help me.Here i have to get result without using "Attributes.attributeId".ie. using "attributeId" alone data have to come.
This is expected as per the nested query documentation
The query path points to the nested object path, and the query (or
filter) includes the query that will run on the nested docs matching
the direct path, and joining with the root parent docs. Note that any
fields referenced inside the query must use the complete path (fully
qualified).
I have two questions about the query seen on this capture:
How do I order by value in the sum_category field in the results?
I use respsize again in the query but it's not correct as you can see below.
Even if I make only an aggregration, why do all the documents come with the result? I mean, if I make a group by query in SQL it retrieves only grouped data, but Elasticsearch retrieves all documents as if I made a normal search query. How do I skip them?
Try this:
{
"query" : {
"match_all" : {}
},
"size" : 0,
"aggs" : {
"categories" : {
"terms" : {
"field" : "category",
"size" : 999999,
"order" : {
"sum_category" : "desc"
}
},
"aggs" : {
"sum_category" : {
"sum" : {
"field" : "respsize"
}
}
}
}
}
}
1). See the note in (2) for what your sort is doing. As for ordering the categories by the value of sum_category, see the order portion. There appears to be an old and closed issue related to that https://github.com/elastic/elasticsearch/issues/4643 but it worked fine for me with v1.5.2 of Elasticsearch.
2). Although you do not have that match_all query, I think that's probably what you are getting results for. And so the sort your specified is actually getting applied to those results. To not get these back, I just have size: 0 portion.
Do you want buckets for all the categories? I noticed you do not have size specified for the main aggregation. That's the size: 999999 portion.
I am trying to figure out how I would do the following query, but instead of using facets use the new aggregation. The reason for my change is then I would like to take it further and instead of just showing 10 tags, show all tags with a count over 0.
{
"query" : { "query_string" : {"query" : "T*"} },
"facets" : {
"tags" : { "terms" : {"field" : "tags"} }
}
}
Any help would be greatly appreciated
Most facet types have an equivalent aggregation type. The equivalent of the terms facet type is the terms aggregation type.