I have to search two fields in a DB using elasticsearch where i should be getting total hits isequal to the sum of individual field search. I did it on port 9200 like this and its working. How to write a must match code for this.
http://localhost:9200/indexname/typename/_search?q=Both:Yes++Type:Comm
Where Both is one field and Comm is another.
Thank you
You need to use an "AND" query.
GET hilden1/type1/_search
{
"query": {
"filtered": {
"filter": {
"and": {
"filters": [
{
"term": {
"both": "yes"
}
},
{
"term": {
"type": "comm"
}
}
]
}
}
}
}
}
I think this is what you need:
Elasticsearch URI based query with AND operator
_search?q=%2Bboth:yes%20%2Btype:comm
Related
I am working on elastic search to fetch the record which contain string "bond"
{
"query": {
"match": {
"name": "Bond"
}
}
}
but I am getting empty array as a output. Though multiple records are present containing string "bold" , but i am getting empty hits. (hits:[])
How to solve this issue?
I am using same query for another index and its working but for index named as "all_colleges", its not working.
Its only returning the record when string is perfect match. i.e. "Bond" == "Bond"
You can try with fuzziness:
{
"query": {
"match": {
"name": {
"query": "Bond",
"fuzziness": "AUTO"
}
}
}
}
Actually there is many parameters you can add to get the results that you want in elastic search. Please check this link https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-match-query.html
You can try this one
{
"query": {
"match": {
"name": {
"query": "Bond",
"fuzziness": "AUTO"
}
}
}
}
`
I'm using Elasticsearch 6.6, trying to extract multiple results/records based on multiple values (email_address) passed to the query (Bool) on a date range. For ex: I want to extract information about few employees based on their email_address (annie#test.com, charles#test.com, heman#test.com) and from the period i.e project_date (2019-01-01).
I did use should expression but unfortunately it's pulling all the records from elasticsearch based on the date range i.e. it's even pulling other employees information from project_date 2019-01-01.
{
"query": {
"bool": {
"should": [
{ "match": { "email_address": "annie#test.com" }},
{ "match": { "email_address": "chalavadi#test.com" }}
],
"filter": [
{ "range": { "project_date": { "gte": "2019-08-01" }}}
]
}
}
}
I also tried must expression but getting no result. Could you please help me on finding employees using their email_address with the date range?
Thanks in advance.
Should(Or) clauses are optional
Quoting from this article.
"In a query, if must and filter queries are present, the should query occurrence then helps to influence the score. However, if bool query is in a filter context or has neither must nor filter queries, then at least one of the should queries must match a document."
So in your query should is only influencing the score and not actually filtering the document. You must wrap should in must, or move it in filter(if scoring not required).
GET employeeindex/_search
{
"query": {
"bool": {
"filter": {
"range": {
"projectdate": {
"gte": "2019-01-01"
}
}
},
"must": [
{
"bool": {
"should": [
{
"term": {
"email.raw": "abc#text.com"
}
},
{
"term": {
"email.raw": "efg#text.com"
}
}
]
}
}
]
}
}
}
You can also replace should clause with terms clause as in #AlwaysSunny's answer.
You can do it with terms and range along with your existing query inside filter in more shorter way. Your existing query doesn't work as expected because of should clause, it makes your filter weaker. Read more here:
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-bool-query.html
{
"query": {
"bool": {
"filter": [
{
"terms": {
"email_address.keyword": [
"annie#test.com", "chalavedi#test.com"
]
}
},
{
"range": {
"project_date": {
"gte": "2019-08-01"
}
}
}
]
}
}
}
Perhaps it's a basic question; by the way, I need to search in every indexed field and to have a specific fixed value for another field.
How can I do it?
Currently I have a simple: query( "aValue", array_of_models )
I tried many options without success, for example:
query({
"query": {
"bool": {
"query": "aValue",
"filter": {
"term": {
"published": "true"
}
}
}
}
})
I would prefer to avoid to specify the fields to search in because I use the same search params for different models.
I found a solution, perhaps it's not optimized but works:
{
"query": {
"bool": {
"should": [
{
"match": {
"_all": "aValue"
}
}
],
"filter": {
"term": {
"published": true
}
}
}
}
}
Not sure if I understood correctly your intention.
The _all field is as default enabled. So if you have no special mapping every indexed field value is added as text string to the _all field.
You can use the
Query String Query, https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-query-string-query.html
Simple Query String Query, https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-simple-query-string-query.html
With a simple query like this, that should work for you.
GET my_index/_search
{
"query": {
"simple_query_string": {
"query": "aValue",
"fields": []
}
}
}
Both query types contains parameters, that should suffice your use case IMHO.
I'm new to elastic search. How to generate elastic search equivalent query for
select * from response where pnrno='sampleid'
I know we have to use 'filter' option in elastic search.but we do not need any ranking. (ranking can be constant) so how can I generate query for achieve this
you are correct , you can use filtered query with query clause empty and filters.Filtering a set of documents is to filter the sets upon which query acts to furthur filter/match and calculate relevance.Filters are like bool either match or reject(1/0).
{
"query": {
"filtered": {
"filter": {
"bool": {
"must": [{
"term": {
"FIELD": "VALUE"
}
}]
}
}
}
}
}
The usual way of achieving this is by using the constant_score query with an embedded term filter, like this:
{
"query": {
"constant_score": {
"filter": {
"term": {
"pnrno": "sampleid"
}
}
}
}
}
I have a elasticsearch query to search the data based on name.
My query is
$http.post(elasticSearchURL,{ "filter": { "and": [{ "term": { "Name": "allan" } } ] } })
The above query works fine for single word search but when I give two words with space it doesn't picks any data for it.
My query is not working for below scenario.
{ "filter": { "and": [{ "term": { "Name": "allan edward" } } ] } }
I dont know what keyword should I have to append to satisfy my search scenario.
Thanks in advance
Phrase match query is what you are looking for.
A query like below should work fine -
{
"query": {
"match_phrase": {
"title": "allan edward"
}
}
}