Good day:
I've setup a Parent/Child relationship model between Facility and FacilityType. Currently I'm trying to query the Facility and at the same time trying to load the children by using the HasChild query but, I'm getting the following error:
{
"aggs":{
"Capacity":{
"children":{
"type":"facilitytype"
},
"aggs":{
"Capacity":{
"histogram":{
"field":"capacity",
"interval":10.0,
"missing":0.0
}
}
}
},
"Distance":{
"histogram":{
"field":"businessLocation",
"interval":10.0,
"order":{
"_count":"desc"
}
}
}
},
"query":{
"bool":{
"should":[
{
"bool":{
"must":[
{
"geo_distance":{
"boost":1.1,
"distance":"200.0m",
"distance_type":"arc",
"businessLocation":{
"lat":38.958878299999988,
"lon":-77.365260499999991
}
}
},
{
"has_child":{
"_name":"FacilityType",
"type":"doc",
"query":{
"match_all":{
}
}
}
}
]
}
},
{
"geo_distance":{
"boost":1.1,
"distance":"200.0m",
"distance_type":"arc",
"serviceAreas":{
"lat":38.958878299999988,
"lon":-77.365260499999991
}
}
}
]
}
}
}
I'm getting this error when I execute the query:
[has_child] join field [joinField] doesn't hold [doc] as a child
Related
I have a document with 2 nested paths - path.to.node and different.path.
I want to be able to get a date histogram based on the path.to.node.date field but then group the buckets based on different.path.to.name.
Is that possible?
I tried something like this but it doesn't seem to work...
{
"size":0,
"query":{...},
"aggregations":{
"path.to.node.date":{
"nested":{
"path":"path.to.node"
},
"aggregations":{
"path.to.node.date":{
"filter":{
"range":{...}
}
},
"aggregations":{
"different.path.name":{
"nested":{
"path":"different.path"
},
"terms":{
"field":"different.path.name"
...
},
"aggregations":{
"path.to.node.date":{
"date_histogram":{
"field":"path.to.node.date",
"interval":"1M",
"offset":0,
"order":{"_key":"asc"},
"keyed":false,"min_doc_count":0}
}
}
}
}
}
}
}
}
}
I am getting search item from user as
let eventSearch="*"+event.SearchTerm+"*";
This is the query object
let queryObject =
{
index: 'mark_deling_test2',
type: 'product',
body: {
"from" : event.StartIndex, "size" : event.ResultSize,
"query": {
"filtered":{
"query":{
"query_string":{
"fields": [ "Name^2.5", "Description", "keywords^1.75" ],
"query":eventSearch,
"analyze_wildcard":true
}
},
"filter":{
"term":{
"groups": "CA-IBO"
}
}
}
}
}
};
Then sending this query object for searching
This is not working. If I don't use the filter it works.
Please Help!
Get mark_deling_test2/_search
{
“query”: {
“bool”: {
“must”: {
“query_string”: {
“query”: “nut*“,
“fields”: [“Name”, “Description”, “keywords”]
}
},
“filter”: {
“term”: {
“groups”: “US-IBO”
}
}
}
}
}
I'm new in ElasticSearch world. I've been trying write simple request and I need to get aggs result in my script to make simple condition. Is it possible to do it in this way?
The condition below is only for example.
GET _search
{
"aggs" : {
"sum_field" : { "sum" : { "field" : "someField" } }
},
"script_fields": {
"script_name": {
"script": {
"lang": "painless",
"source": """
// get there aggs result (sum_field)
if(sum_field > 5){
return sum_field
}
"""
}
}
}
}
The requirement is to execute sum aggregation over multiple indexes having the same field name
Now with multiple indexes, you'll have to check if that particular field exists in that indexes or not AND if the field is of the same datatype.
Indexes
I've created three indexes, having a single field called num.
index_1
- num: long
index_2
- num: long
index_3
- num: text
: fielddata: true
Also notice how if the field is of type text, then I've set its property fielddata:true. But if you do not set it, then the below query would give you aggregation result as well as an error saying you cannot retrieve the value of type text as its an analyzed string and you can only use doc for fields which are non_analyzed.
Sample Query:
POST /_search
{
"size":0,
"query":{
"bool":{
"filter":[
{
"exists":{
"field":"num"
}
}
]
}
},
"aggs":{
"myaggs":{
"sum":{
"script":{
"source":"if(doc['num'].value instanceof long) return doc['num'].value;"
}
}
}
}
}
Query if you cannot set fielddata:true
In that case, you need to explicitly mention the indexes on which you'd want to aggregate.
POST /_search
{
"size":0,
"query":{
"bool":{
"filter":[
{
"exists":{
"field":"num"
}
},
{
"terms":{
"_index":[
"index_1",
"index_2"
]
}
}
]
}
},
"aggs":{
"myaggs":{
"sum":{
"script":{
"source":"if(doc['num'].value instanceof long) return doc['num'].value;"
}
}
}
}
}
Hope this helps!
Used the following query to search books with name 'new java ' or ' java new'
"bool":{
"must":[
{
"term":{
"title":{
"value":"new"
}
}
},
{
"term":{
"title":{
"value":"java"
}
}
}
]
}
It is giving the value exactly but showing duplicate records also what i mean is, It should not return the following as it has ' new' and 'java' which is in different index but this result also displaying
{
"_index":"book-lists",
"_type":"book-list",
"_id":"AVBRSvHIXb7carZwcePS",
"_version":1,
"_score":1,
"_source":{
"title":"Technology",
"books":[
{
"title":"Java",
"isRead":true,
"summary":"lorem ipsum",
"rating":3.5
},
{
"title":"java jsp",
"isRead":true,
"summary":"lorem ipsum",
"rating":3.5
},
{
"title":"new servlet",
"isRead":true,
"summary":"lorem ipsum",
"rating":3.5
}
],
"numberViews":0,
"idOwner":"17xxxxxxxxxxxx45"
}
}
Is it possible to avoid the match which is in different index of array.
In your opinion what would be the best way to do the following?
I want to filter an ElasticSearch query by several ranges that are grouped in an OR filter, and then by one final range that needs to be included as an AND filter. The explanation is a bit crappy but hopefully the pseudo-code below will help...
Basically I tried structuring the following query:
{
"query":{
"multi_match":{
"query":"blue",
"fields":[
"name"
]
}
},
"sort":{
"_score":{
"order":"desc",
"missing":"_last"
}
},
"from":"0",
"size":"24",
"facets":{
"rating":{
"range":{
"field":"rating",
"ranges":[
{
"from":1
},
{
"from":2
},
{
"from":3
},
{
"from":4
}
]
}
},
"price":{
"range":{
"field":"price",
"ranges":[
{
"to":10
},
{
"from":10,
"to":100
},
{
"from":100,
"to":1000
}
{
"from":1000
}
]
}
}
},
"filter":{
"or":[
{
"range":{
"price":{
"from":"10",
"to":"100"
}
}
},
{
"range":{
"price":{
"from":"100",
"to":"1000"
}
}
}
],
"and":{
"numeric_range":{
"rating":{
"gte":"4"
}
}
}
}
}
This failed with the error that there was "No parser for element [numeric_range]". So I tried replacing:
"and":{
"numeric_range":{
"rating":{
"gte":"4"
}
}
}
with:
"numeric_range":{
"rating":{
"gte":"4"
}
}
The query now returns results but it's returning results with prices in the ranges 10-100, 100-1000 and ANY results with a rating greater than 4 (even if their price is outside of the defined range).
Any clues on how I could do this query? Do I need to be using a bool filter?
Ah ha, figured it out, with the help of Boaz Leskes over on the ElasticSearch mailing list!
It should be structured like this:
filter: {
bool: {
must: [
{
"numeric_range":{
"rating":{
"gte":"4"
}
}
}
],
should: [
{
"range":{
"price":{
"from":"10",
"to":"100"
}
}
},
{
"range":{
"price":{
"from":"100",
"to":"1000"
}
}
}
]
}
}