I am trying to write a query in elasticsearch with an exact match on multiple fields
I have the following query for an exact match for a single field:
GET /index/data/_search
{
"query": {
"term": {
"table":"abc"
}
}
}
Here the key is "table" and the value is "abc". I would like to add another key called "chair" with value "def for the exact match query.
Use a bool+must or bool+filter query, both act as logical and operator:
GET /index/data/_search
{
"query": {
"bool": {
"must": [
{
"term": {
"table":"abc"
},
{
"term": {
"chair":"def"
}
]
}
}
}
Related
I have a situation where I need to do elastic search based on multi-field. For Example: I have multiple fields in my postindex and I want to apply condition on four these fields (i.e. userid, channelid, createat, teamid) to meet my search requirement. When value of all these fields matched then search query displays results and if one of these is not match with values in postindex then it display no result.
I am trying to make a multifield search query for go-elasticsearch to search data from my post index. For the searcquery result four field must match otherwise it display 0 hit/no-result.
So, I think you need to write a following query :
GET postindex/_search
{
"query": {
"bool": {
"minimum_should_match": 1,
"should": [
{
"bool": {
"must": [
{
"term": {
"userid": {
"value": "mcqmycxpyjrddkie9mr13txaqe"
}
}
},
{
"term": {
"channelid": {
"value": "dnoihmrinins3qrm6bb9175ume"
}
}
},
{
"range": {
"createat": {
"gt": 1672909114890
}
}
}
]
}
},
{
"term": {
"teamid": {
"value": "qomrg11o8b8ijxoy8hrcnweoay"
}
}
}
]
}
}
}
In here, there is a bool query with should in parent scope, which is like OR. And inside the should there is another bool query with must which is like AND. We can also write the query shorter, but this will be better for you to understand.
I have an ES index where one of my mappings stores a simple array of named entities pre-set at the point of ingestion.
I'm trying to search my index using a given array of entities, to return documents where containing many of the same entities.
Some code for illustration...
GET /test_data/_search
{
"query": {
"match": {
"entities": ['Trump', 'CNN', 'Oklahoma', 'Tiktok', 'Tulsa']
}
}
}
However, this returns a parse exception -- What would be the best method to search fields containing arrays using another array?
Thanks
If you're looking for exact matches then change match to terms -- this functions as an OR query:
GET /test_data/_search
{
"query": {
"terms": {
"entities": [
"Trump",
"CNN",
"Oklahoma",
"Tiktok",
"Tulsa"
]
}
}
}
otherwise use a bool-should array of match queries:
GET /test_data/_search
{
"query": {
"bool": {
"should": [
{
"match": {
"entities": "Trump"
}
},
{
"match": {
"entities": "CNN"
}
},
{
"match": {
"entities": "Oklahoma"
}
},
...
]
}
}
}
You can define how many of them should match with the minimum_should_match param.
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"
}
}
}
]
}
}
}
I want to find the record in my elasticsearch index where it should match field "connectorSpecific.hostname.keyword" with value "tyco-fire.com" and field "hasForms" with value true.
Below is my elasticsearch query:
GET index1/_search
{
"query": {
"bool": {
"should": [
{ "match": { "connectorSpecific.hostname.keyword": "tyco-fire.com" }},
{ "match": { "hasForms": true }}
]
}
}
}
This query is returning records which also has field "hasForms" with value false. Not sure why.I am using a boolean should query.Any help is appreciated
If you want both constraints to match, then you should use bool/filter (or bool/must would work as well but since you're doing exact matching, you don't need scoring at all), like this:
GET index1/_search
{
"query": {
"bool": {
"filter": [
{ "match": { "connectorSpecific.hostname.keyword": "tyco-fire.com" }},
{ "match": { "hasForms": true }}
]
}
}
}
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"
}
}
}
}
}