I am new in ElasticSearch. I tried some queries, can anyone please help me to get the unique users for that Audi and BMW keyword?
"query": {
"bool": {
"must": [
{
"term": {
"keyword": "Audi"
}
},
{
"term": {
"keyword": "BMW"
}
},
{
"range": {
"date": {
"gte": "2019-11-19",
"lt": "2019-11-29"
}
}
}
]
}
}
}
my Index in the elastic search
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Need to implement as below.
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Related
I am trying to write a query in Elasticsearch to make it work with Range filter and query keyword input from user.
The query that I end up writing is:
"size": val, //default 10,
"from": 0, //default 0,
"query": {
"bool": {
"must": {
"query_string": {
"query": search_query //Val coming from user input
},
"filter": {
"range": {
"lastmodifieddate": {
"gte": '2016-12-09T00:00:00',
"lte": '2016-12-20T00:00:00'
}
}
}
}
}
}
The above query is not working.
Also I am looking for matching 1 of the key value pair from my elasticsearch.
_source:
lastmodifieddate: "2016-12-07T18:34:48.000+0000",
..
..
fileType: "PDF"
...
Can someone throw some light on how to make it work and also a query parameter with all records must match fileType = PDF
TIA
You must put "filter" outside "must". Both of them are in different context. See this documentation https://www.elastic.co/guide/en/elasticsearch/reference/current/query-filter-context.html
{
"query": {
"bool": {
"must": {
"query_string": {
"query": "user input"
}
},
"filter": {
"range": {
"lastmodifieddate": {
"gte": "2014-01-09T00:00:00",
"lte": "2014-12-20T00:00:00"
}
}
}
}
}
}
Imagine I have a movie document, and its ratings is modelled as nested fields:
"mappings": {
"movie": {
"properties": {
"name": {"type": "text"}
"ratings": {
"type": "nested"
"properties": {
"userId": {"type": "keyword"},
"rating": {"type": "integer"}
}
}
}
}
}
What I want to do is: for a given movie name, and a list of users' ids. I want to find the movie and lowest rating among these users. I managed to construct a query to do the job
{
"query": {
"bool": {
"must": [{
"match": {
"name": "fake movie name"
}
}],
"filter": {
"nested": {
"path": "ratings",
"query": {
"bool": {
"must": {
"match": {
"ratings.userId": ["user1", "user2"]
}
}
}
}
}
}
},
"aggs": {
"userIdFilter": {
"filter": {
"terms": {
"ratings.userId": ["user1", "user2"]
}
},
"aggs": {
"lowestRating": {
"min": {
"field": "ratings.rating"
}
}
}
}
}
}
}
Is possible to add filter on the lowest rating, only returns document's lowest rating is lower certain value?
I hope there is a way to approach this without using script, I tried bucket-selector-aggregation, but cannot get a working version. Any ideas?
Thank you
I am working on elastic search in node.js. I have 50k+ users in elstic search and now I have an of of phone numbers. Now I want to get those users from elastic search who match these number in array for this purpose I write search query string but this query give me exception I don't know where I am doing mistake in my query string.
Query String
{
"query": {
"bool": {
"must": [
{
"prefix": {
"phone":{"+9665509548","+93565822145",...}
}
}
]
}
}
}
Is this what you're after?
{
"query": {
"bool": {
"should": [
{
"prefix": {
"phone": "+9665509548"
}
},
{
"prefix": {
"phone": "+93565822145"
}
},
//...
],
"minimum_should_match": 1
}
}
}
I am currently trying to do a multi search query on first name, last name, and date of birth. I want the results to show a complete match for first, last, and dob but also show results if the first name and last name match but a different date of birth exists then what was queried on.
As of right now my code only returns a result if all three fields have exact matches
GET /account/data/_search
{
"query": {
"match": {
"first": {
"query": "Chris"
}
}
},
"query": {
"match": {
"last": {
"query": "Johnson"
}
}
},
"query": {
"match": {
"dob": {
"query": "10-10-1990"
}
}
}
}
This can be solved with simple bool query
{
"query": {
"bool": {
"must": [
{
"match": {
"first": "TEXT"
}
},
{
"match": {
"last": "TEXT"
}
}
],
"should": [
{
"match": {
"dob": "TEXT"
}
}
]
}
}
}
I need to make elasticsearch query to work with multiple words. I am using edgeNgram tokenizer to support autocompletion feature and I am using query_string for searching.
Document
{
"title":"Gold digital cinema",
"region":"Mumbai"
}
{
"title":"cine park",
"region":"Mumbai"
}
{
"title":"Premier Gold",
"region":"mumbai"
}
Query
{
"query": {
"bool": {
"should": [
{
"query_string": {
"fields": [
"title",
"region"
],
"query":"gold cine"
}
},
{
"fuzzy": {
"title": {
"value":"gold cine",
"min_similarity": 0.5,
"max_expansions": 50,
"prefix_length": 0
}
}
}
]
}
}
}
When I search for gold cine, I need "title":"Gold digital cinema" to be in the top results. But I am getting "title":"cine park" and "title":"Premier Gold" in top.
Is there any way to preserve position while searching?
Thanks in advance.
UPDATE
{
"query":{
"bool":{
"should":[{
"query_string":{
"fields":["title.default_title^10",
"title.ngrams_front^2",
"title.ngrams_back"],
"query":"gold cine",
"boost":2
}
},
{
"function_score":{
"query":{
"query_string":{
"fields":["region"],
"query":"MUMBAI"
}
},
"functions":[{
"script_score":{
"script":"_score + 0.6"}
}
],
"score_mode":"max",
"boost_mode":"avg"
}
}
]
}
}
}
You can use boost to pull up the data on top..
{
"query": {
"bool": {
"should": [
{
"query_string": {
"fields": [
"title",
"region"
],
"query":"gold cine",
"boost": 3
}
},
{
"fuzzy": {
"title": {
"value":"gold cine",
"min_similarity": 0.5,
"max_expansions": 50,
"prefix_length": 0
}
}
}
]
}
}
}
If you use version 1.0.0.and above you should use function score query.
HOpe it helps..!