Here is my query. I am trying to get all products that are inside "men_fashion" and "men_shoes" category (categories are being used as terms/tags). Then i want to query the whole result set and search for products that have "men boots yellow" in them.
The below query works perfectly fine, but now i am not getting the correct aggregation results. It gives me all the brands where as i am only interested in the brands.
{
"size": 15,
"from": 0,
"query": {
"query_string": {
"query": "men boots yellow"
}
},
"filter": {
"bool": {
"must": [{
"match": {
"active": 1
}
}, {
"match": {
"category": "men_fashion"
}
}, {
"match": {
"category": "men_shoes"
}
}]
}
},
"aggs": {
"brands": {
"terms": {
"size": 100,
"field": "brand"
}
}
}
}
I think this might be due to the filter i have applied, but if this is somehow complicated i am ok with using a simple query that would achieve this without the filters.
You're using a post filter instead of a normal query filter, try like this instead:
{
"size": 15,
"from": 0,
"query": {
"bool": {
"must": {
"query_string": {
"query": "men boots yellow"
}
},
"filter": [
{
"match": {
"active": 1
}
},
{
"match": {
"category": "men_fashion"
}
},
{
"match": {
"category": "men_shoes"
}
}
]
}
},
"aggs": {
"brands": {
"terms": {
"size": 100,
"field": "brand"
}
}
}
}
Related
I'm trying to perform a search th e.g. searches the word coyotes in the description , but are red and green and are in the cartoon category. Now I think I understand you can't have match and terms in the same query (the query below doesn't work for this reason), but also you that you shouldn't use terms to search on a text field. Can anyone point me in the right direction?
here's my query
GET /searchproducts/_search
{
"query": {
"match": {
"description": {
"query": "coyote"
}
},
"bool": {
"should": [{
"terms": {
"colours.name": ["red", "green"]
}
},
{
"terms": {
"categories.name": ["Cartoon"]
}
}
]
}
},
"aggs": {
"colours": {
"terms": {
"field": "colour.name.value",
"size": 100
}
},
"categories": {
"terms": {
"field": "categories.id",
"size": 100
}
}
}
}
You can use a bool query to combine multiple queries. Try out this query:
{
"query": {
"bool": {
"should": [
{
"match": {
"description": {
"query": "coyote"
}
}
},
{
"bool": {
"should": [
{
"terms": {
"colours.name": [
"red",
"green"
]
}
},
{
"terms": {
"categories.name": [
"Cartoon"
]
}
}
]
}
}
]
}
},
"aggs": {
"colours": {
"terms": {
"field": "colour.name.value",
"size": 100
}
},
"categories": {
"terms": {
"field": "categories.id",
"size": 100
}
}
}
}
I am trying to add a prefix condition for my ES query in a "must" clause.
My current query looks something like this:
body = {
"query": {
"bool": {
"must":
{ "term": { "article_lang": 0 }}
,
"filter": {
"range": {
"created_time": {
"gte": "now-3h"
}
}
}
}
},
"aggs": {
"articles": {
"terms": {
"field": "article_id.keyword",
"order": {
"score": "desc"
},
"size": 1000
},
"aggs": {
"score": {
"sum": {
"field": "score"
}
}
}
}
}
}
I need to add a mandatory condition to my query to filter articles whose id starts with "article-".
So, far I have tried this:
{
"query": {
"bool": {
"should": [
{ "term": { "article_lang": 0 }},
{ "prefix": { "article_id": {"value": "article-"} }}
],
"filter": {
"range": {
"created_time": {
"gte": "now-3h"
}
}
}
}
},
"aggs": {
"articles": {
"terms": {
"field": "article_id.keyword",
"order": {
"score": "desc"
},
"size": 1000
},
"aggs": {
"score": {
"sum": {
"field": "score"
}
}
}
}
}
}
I am fairly new to ES and from the documentations online, I know that "should" is to be used for "OR" conditions and "must" for "AND". This is returning me some data but as per the condition it will be consisting of either article_lang=0 or articles starting with article-. When I use "must", it doesn't return anything.
I am certain that there are articles with id starting with this prefix because currently, we are iterating through this result to filter out such articles. What am I missing here?
In your prefix query, you need to use the article_id.keyword field, not article_id. Also, you should prefer filter over must since you're simply doing yes/no matching (aka filters)
{
"query": {
"bool": {
"filter": [ <-- change this
{
"term": {
"article_lang": 0
}
},
{
"prefix": {
"article_id.keyword": { <-- and this
"value": "article-"
}
}
}
],
"filter": {
"range": {
"created_time": {
"gte": "now-3h"
}
}
}
}
},
"aggs": {
"articles": {
"terms": {
"field": "article_id.keyword",
"order": {
"score": "desc"
},
"size": 1000
},
"aggs": {
"score": {
"sum": {
"field": "score"
}
}
}
}
}
}
Below is the elasticsearch query I am using to get the results and the filter options for the results from the aggregation. The problem is that whenever someone applies a filter, the overall result changes and hence the filter options also changes. I do not want the filter options to changes unless query parameter change. For now I am making two calls:
get all results without aggregation
Get all filters by using aggregation and setting the size parameter to 0
This approach uses 2 api requests and hence doubling the time. Can this be done in one request only ?
First call: All results without aggregation
{
"query": {
"bool": {
"should": [
{
"match_phrase": {
"title": {
"query": "cooking",
"boost": 2,
"slop": 10
}
}
},
{
"match": {
"title": {
"query": "cooking",
"boost": 1
}
}
}
],
"minimum_should_match": 1,
"filter": [
{
"match": {
"is_paid": false
}
}
]
}
},
"sort": [],
"from": 0,
"size": 15
}
Second call: getting filters
{
"query": {
"bool": {
"should": [
{
"match_phrase": {
"title": {
"query": "cooking",
"boost": 2,
"slop": 10
}
}
},
{
"match": {
"title": {
"query": "cooking",
"boost": 1
}
}
}
],
"minimum_should_match": 1
}
},
"size": 0,
"aggs": {
"courseCount": {
"terms": {
"field": "provider",
"size": 100
}
},
"paidCount": {
"terms": {
"field": "is_paid",
"size": 3
}
},
"subjectCount": {
"terms": {
"field": "subject",
"size": 30
}
},
"levelCount": {
"terms": {
"field": "level",
"size": 4
}
},
"pacingCount": {
"terms": {
"field": "pacing_type",
"size": 4
}
}
}
}
I have a query that gets me some user post data from an elastic index. I am happy with that query, though I need to make it return rows with unique usernames. Current, it displays relevant posts by users, but it may display one user twice..
{
"query": {
"bool": {
"should": [
{ "match_phrase": { "gtitle": {"query": "voice","boost": 1}}},
{ "match_phrase": { "gdesc": {"query": "voice","boost": 1}}},
{ "match": { "city": {"query": "voice","boost": 2}}},
{ "match": { "gtags": {"query": "voice","boost": 1} }}
],"must_not": [
{ "term": { "profilepicture": ""}}
],"minimum_should_match" : 1
}
}
}
I have read about aggregations but didn't understand much (also tried to use aggs but didn't work either).... any help is appreciated
You would need to use terms aggregation to get all unique users and then use top hits aggregation to get only one result for each user. This is how it looks.
{
"query": {
"bool": {
"should": [
{
"match_phrase": {
"gtitle": {
"query": "voice",
"boost": 1
}
}
},
{
"match_phrase": {
"gdesc": {
"query": "voice",
"boost": 1
}
}
},
{
"match": {
"city": {
"query": "voice",
"boost": 2
}
}
},
{
"match": {
"gtags": {
"query": "voice",
"boost": 1
}
}
}
],
"must_not": [
{
"term": {
"profilepicture": ""
}
}
],
"minimum_should_match": 1
}
},
"aggs": {
"unique_user": {
"terms": {
"field": "userid",
"size": 100
},
"aggs": {
"only_one_post": {
"top_hits": {
"size": 1
}
}
}
}
},
"size": 0
}
Here size inside user aggregation is 100, you can increase that if you have more unique users(default is 10), also the outermost size is zero to get only aggregation results. One important thing to remember is your user ids have to be unique, i.e ABC and abc will be considered different users, you might have to make your userid not_analyzed to be sure about that. More on that.
Hope this helps!!
I have an elastic search running with documents like this one:
{
id: 1,
price: 620000,
propertyType: "HO",
location: {
lat: 51.41999,
lon: -0.14426
},
active: true,
rentOrSale: "S",
}
I'm trying to use aggregates to get statistics about a certain area using aggregations and the query I'm using is the following:
{
"sort": [
{
"id": "desc"
}
],
"query": {
"bool": {
"must": [
{
"term": {
"rentOrSale": "s"
}
},
{
"term": {
"active": true
}
}
]
},
"filtered": {
"filter": {
"and": [
{
"geo_distance": {
"distance": "15.0mi",
"location": {
"lat": 51.50735,
"lon": -0.12776
}
}
}
]
}
}
},
"aggs": {
"propertytype_agg": {
"terms": {
"field": "propertyType"
},
"aggs": {
"avg_price": {
"avg": {
"field": "price"
}
}
}
},
"bed_agg": {
"terms": {
"field": "numberOfBedrooms"
},
"aggs": {
"avg_price": {
"avg": {
"field": "price"
}
}
}
}
}
}
But in the result I can't see the aggregations. As soon as I remove either the bool or filtered part of the query I can see the aggregations. I can't figure out why this is happening, nor how do I get the aggregations for these filters. I've tried using the answer to this question but I've not been able to solve it. Any ideas?
I think your query need to be slightly re-arranged - move the "filtered" further up and repeat the "query" command:
"query": {
"filtered": {
"query" : {
"bool": {
...
}
},
"filter": {
...
}
}
}