I want to create an alias on top of this. Index - test, Type - type
POST /test/type/_search
{
"query": {
"match": {
"brand_name": "xyz"
}
}
}
But I don't see anyway of doing it,since Elasticsearch aliases can only be created on filters and when I try with term filter,I don't get the results which I want.Any trick to achieve this ?
You can use a query filter to use any query as a filter:
"filter" : {
"query" : {
"match" : {
"brand_name" : "xyz"
}
}
}
Related
I want to get set of result which is outside the provided filters.
Example :
Query : document_id and filter
{
Document_id : 1,2,3,4,5,6,7
},
{
Query Result : 1,2,3,4,5,6
}
Output : 7
I can perform the above manipulation in java code as well but I want to get this result from Query. Any help would be appreciated.
You should put your filter in a must_not clause inside a bool query, like this:
POST _search
{
"query": {
"bool" : {
"must_not" : [
<YOUR FILTER QUERIES HERE>
]
}
}
}
I'm currently using the elasticsearch 6.5.4 and I'm trying to query for all docs in an index with an empty array on a specific field. I found the the elasticsearch has a exists dsl who is supposed to cover the empty array case.
The problem is: whem I query for a must exists no doc is returned and when I query for must not exists all documents are returned.
Since I can't share the actual mapping for legal reasons, this is the closest I can give you:
{
"foo_production" : {
"mappings" : {
"foo" : {
"properties" : {
"bar" : {
"type" : "text",
"index" : false
}
}
}
}
}
}
And the query I am performing is:
GET foo_production/_search
{
"query": {
"bool": {
"must": {
"exists": {
"field": "bar"
}
}
}
}
}
Can you guys tell me where the problem is?
Note: Upgrading the elasticsearch version is not a viable solution
Enable indexing for the field bar by setting "index" : true
The index option controls whether field values are indexed. It accepts true or false and defaults to true. Fields that are not indexed are not queryable.
Source : https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-index.html
Using ElasicSearch's JSON Query DSL through Kibana, how do I retrieve all documents which have:
messageTemplate equals My message
or
level equals Error
You have to use a Bool query for that :
... If the bool query is a filter context or has neither must or filter then at least one of the should queries must match a document for it to match the bool query
POST <your_index>/_search
{
"query": {
"bool": {
"should": [
{ "match_phrase" : { "messageTemplate" : "My message" } },
{ "term" : { "level" : "Error" } }
]
}
}
}
Alternatively, you could type in the Kibana search bar:
messageTemplate:"My message" || level:"Error"
or
messageTemplate:"My message" OR level:"Error"
For my project, I thought of using Span Near Queries of ElasticSearch, with the constraint that is, certain tokens may have to searched with Fuzziness. I was able to generate a set of SpanQuery (org.apache.lucene.search.spans.SpanQuery) objects some with fuzzy enabled, some without. I couldn't figure out how to use these set of SpanQueries in ElasticSearch spanNearQuery.
Can someone help me out with right pointers to samples or docs. And is there any way to construct ES SpanNearQueryBuilder with some clauses fuzzy enabled ?
You can wrap an fuzzy query into a span query with Span Multi Term Query:
{
"span_near" : {
"clauses" : [
{ "span_term" : { "field" : "value1" } },
{ "span_multi" :
"match" : {
"prefix" : { "user" : { "field" : "value2" } }
}
}
],
...
}
}
I have the currenct structure:
localhost:9200/objects/content
{
id:1,
author:{
name:"john"
},
body:"abc"
}
localhost:9200/objects/reaction
{
content_id:1
message:'I like it'
}
How can I query to get all reactions of contents writed by "john"?
This means a query on reactions, checking the content specified by id, if author is "someone".
This Elasticsearch blog post describes how to manage relationships inside Elasticsearch.
You will need to set a parent mapping between your reactions and your content.
{
"reaction" : {
"_parent" : {
"type" : "content"
}
}
}
You will then index your reaction as a child of content id 1:
curl -XPOST localhost:9200/test/homes?parent=1 -d'
{
message:'I like it'
}
You can then use a Has Parent Query to retrieve all reactions to authors named john:
{
"has_parent" : {
"parent_type" : "content",
"query" : {
"term" : {
"author.name" : "john"
}
}
}
}
I would recommend you to add some redundancy to your model:
localhost:9200/objects/reaction
{
content_id:1
message:'I like it'
author_name:'john'
}
This will increase the index, of course. On the other hand the query to get all reactions of contents writed by "john" will be simple and fast.