I run this query:
GET /thing/_search/?
{
"query": {
"multi_match" : {
"query": "castle pontivy",
"type": "most_fields",
"fields": [ "title", "loc" ]
}
}
}
It works and returns results from thing where title and loc contains castle and/or pontivy in a relevant order. Nice.
Now I want to continue querying like this, but I also want the result to prefer exact match on title. Which means that if one item exactly match castle pontivy in its title, it must be returned as first element (then the other results are treated as usual).
Is there a way to do this?
You could do a phrase match and give it a boost of 5, so whatever the default score is, it will add +5 to that. If you want to get more into scoring, look into function score query (I recommend you should)
Second multi_match will match the rest of the documents using most_fields.
{
"query":{
"bool":{
"should":[
{
"multi_match":{
"query":"castle pontivy",
"type":"phrase",
"fields":[
"title",
"loc"
],
"boost":5
}
},
{
"multi_match":{
"query":"castle pontivy",
"type":"most_fields",
"fields":[
"title",
"loc"
]
}
}
]
}
}
}
Related
This is my first ever question here so I apologize if I make any mistakes.
I'm trying to make a fuzzy search (match query with fuzziness parameter) on my index that will return the results in Alphabetical order. But I need the exact matches to come first(Alphabetically ordered among themselves) and fuzzy matches later.
I have tried this to make exact matches have higher scores. But they are just being sorted by their scores:
"query":{
"bool":{
"must":[
{
"match":{
"myPropertyName":{
"query":"myWord",
"fuzziness":"AUTO"
}
}
}
],
"should":[
{
"match":{
"myPropertyName":{
"query":"myWord",
"boost":20
}
}
}
]
}
},
"sort":[
"_score",
{
"myProperty.keyword":{
"order":"asc"
}
}
],
"track_scores":true
}
Then I have tried to make the scores of all exact matches and fuzzy matches same among themselves with many methods. I can make it for fuzzy matches by using filter or constant_score but I couldn't figure a way to assign a custom score to the results of should query in my search.
How can I achieve this?
I've managed to achieve this by using a function score query with "boost_mode": "replace" and setting a custom value to weight parameter like: "weight": "10".
{
"query":{
"function_score":{
"query":{
"bool":{
"filter":[
{
"match":{
"myPropertyName":{
"query":"myWord",
"fuzziness":"AUTO"
}
}
}
]
}
},
"boost_mode":"replace",
"functions":[
{
"filter":{
"match":{
"myPropertyName":{
"query":"myWord"
}
}
},
"weight":"10"
}
]
}
},
"sort":[
"_score",
{
"myProperty.keyword":{
"order":"asc"
}
}
],
"track_scores":true
}
This way documents that match the match query will return with 0 score since it's also a filter query. Then among these documents the ones that match the function will return with 10 score since "boost_mode": "replace" and "weight: "10".
When it comes to sorting firstly Elasticsearch will sort the results by their score's since it comes first in "sort[]" array. Then documents with same scores will be sorted alphabetically among themselves.
This worked perfectly for me.
I'm using the following query but it gets higher score for words which are repeated and is a subset of the words typed but not the entire sentence match.
For Eg:
{
"query": {
"bool": {
"must": {
"multi_match": {
"query": "test in maths",
"fuzziness": "3",
"fields": [
"title"
],
"minimum_should_match": "75%",
"type": "most_fields"
}
}
}
}
}
If the field value contains : test test test
has higher score than the field value : test in maths
How can I get the higher score for the exact words match and not repeated words?
Thanks in Advance.
If you want to search exact sentences/phrases you should use the match_phrase query (https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-match-query-phrase.html).
You can add a should-clause that contains the match-phrase query to boost the score of exact phrases to your current query.
you can use match_phrase query for an exact match. match_phrase matches for exact occurrence in the sequence of the query provided.
e.g
{
'query': {
'bool': {
'must': [{
'match_phrase': {
'title': 'test in maths'
}
}]
}
}
}
Editing after comment:
Use
PUT my_index
{
"mappings": {
"properties": {
"title": {
"type": "text",
"index_options": "docs"
}
}
}
}
and then you can use normal match type query, the elastisearch won't consider repetition of the words in the index for the title field.
elasticsearch version: 6.4
Here is my current data:
I want to search for products which has Xbox in name. I am using the match keyword but that is not working.
Below is my elastic search query:
{
"query": {
"bool": {
"must": [
{
"match": {
"name": {
"query": "xbox"
}
}
},
{
"terms": {
"deep_sub": [
"Konsol Oyunları",
"Konsol Aksesuarları"
]
}
}
]
}
},
"from": 0,
"size": 50
}
Whenever you face such kind of issues, try breaking down the query. You have Match Query and Term Query. Run both of them individually and see what's not working.
From what I understand, looks like your field deep_sub is of text type and this would mean Term Query is not returning results.
You would need to create its sibling equivalent using keyword type and then run Term Query on it for exact matches.
From the above link we have the below info:
Keyword fields are only searchable by their exact value.
If you do not control the mapping, meaning if your mapping if of dynamic type, then you must have its sibling equivalent keyword field available which would be deep_sub.keyword
You can check by running GET <your_index_name>/_mapping
Your query would then be as follows:
POST <your_index_name>/_search
{
"query":{
"bool":{
"must":[
{
"match":{
"name":{
"query":"xbox"
}
}
},
{
"terms":{
"deep_sub.keyword":[ <----- Change This
"Konsol Oyunları",
"Konsol Aksesuarları"
]
}
}
]
}
},
"from":0,
"size":50
}
Let me know if this helps!
I feel like this shouldn't be as difficult as its turning out to be, I've been attempting to use the:
index/_search
and
index/_count
endpoints, using query, bool, must filter etc. It seems no matter how I construct it, I cannot use range and date, with the match filter. The elasticsearch documentation doesn't seem to show complex queries like this so I'm not exactly sure how to construct it. The main query I've been manipulating is:
{
"query":{
"bool":{
"must":{
"range":{
"date":{
"gte":"now-1d/d",
"lt" :"now/d"
}
},
"match":{
"KEY":"VALUE"
}
}
}
}
}
I either get "no query registered for date", or "unknown key for a start_object in match" Been all over stackoverflow and can't seem to find an answer to this, it seems like it should be quite a simple query to make against a data store such as this. What am I missing here?
must can take an array of conditions if you want to combine them. Try this format :
{
"query": {
"bool": {
"must": [
{
"range": {
"date": {
"gte": "now-1d/d",
"lt": "now/d"
}
}
},
{
"match": { "KEY": "VALUE" }
}
]
}
}
}
I'm creating an advance search using elasticsearch and its query string functionality..
so I got some questions about advance queries.. I read query string document but couldn't find any answer,
when in one query string I search for a normal query and a exact query.. sales AND "industrial machinery" the result is different with another query that put two query string in must array...
let me show with an example:
"query": {
"bool":{
"must":[
{
"query_string":{
"query": "sales* AND \"industrial machinery\"",
"type": "best_fields",
"fields":["title", "description"]
}
}
]
}
}
count of result : 56
"query":{
"bool":{
"must":[
{
"query_string":{
"query": "sales*",
"type": "best_fields",
"fields":["title", "description"]
},
{
"query_string":{
"query": "\"industrial machinery\"",
"type": "best_fields",
"fields":["title", "description"]
}
]
}
}
count of results: 113
I know the result of second query is correct, but I don't know why elastic made difference between this two queries..
and how can I get same result with first query? I want to get 113 docs when search with first query.
thanks for helping