GET my_production_productsd/_search
{
"query": {
"match_phrase_prefix": {
"ProductDescription": "women"
}
}
}
it gets results from only ProductDescription
Please take a look on _all field. It was deprecated in 6.0.0 version of ES mostly because of storage size. But you can still enable it. Maybe in your case it would not be a problem.
Example code:
GET /my_index/_search
{
"query": {
"match": {
"_all": "john smith 1970"
}
}
}
Related
I have created the following index
PUT /proximity_example_1
{
"mappings":{
"properties":{
"doc_id": {
"type": "text"
},
"test_name":{
"type": "text"
}
}
}
}
Then indexed a document
POST proximity_example_2/_doc
{
"doc_id": "id1",
"test_name": "test proximity here"
}
Then queried with proximity 0, as follow
GET proximity_example_2/_search
{
"query": {
"match_phrase": {
"test_name": {
"query": "proximity test",
"slop": 0.0
}
}
}
}
But I didn't get any result, Then I searched with proximity 1 , and this time also I didn't get any document.
But when I searched with proximity greater than 1, I got results.
GET proximity_example_2/_search
{
"query": {
"match_phrase": {
"test_name": {
"query": "proximity test",
"slop": 2.0
}
}
}
}
GET proximity_example_2/_search
{
"query": {
"match_phrase": {
"test_name": {
"query": "proximity test",
"slop": 3.0
}
}
}
}
So does that mean in elasticsearch when we do a search with proximity 1 or 0 order of the search term matters?
Thank you...
Slop with value 0 is as good as normal phrase search(very restrictive and should have search terms in the exact same order in the Elasticsearch), as you increase the slope this restrictiveness gets reduce and you will have more search results, but beware that increasing to to high number will defeat the purpose of phrase search and you will get irrelevant results.
You can read this and this detailed blog post that explains how it works internally
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 am using the latest version of Elastic Search (7.9) and i'm trying to find a good way to do a multiple term query as an AND.
Essentially what i want do is:
select * where field1 === 'word' AND field2 === 'different word'
I am currently using term to do an exact keyword match on field1. But adding in the second field is causing me some jip.
{
"query": {
"term": {
"field1": {
"value": "word"
}
}
}
}
This is my current query, i have tried using BOOL. I came across answers in previous versions where i could maybe use a filtered query. But i cant seem to get that to work either.
Can someone help me please. It's really doing my nut.
EDIT
Here is what i've tried with a bool / must with multiple terms. But i get no results even though i know in this case this query should return data
{
"query": {
"bool": {
"must": [
{
"term": {
"field1": {
"value": "word"
}
}
},
{
"term": {
"field2": {
"value": "other word"
}
}
}
]
}
}
}
Ok, so, fun fact. You can do the bool / match as i have tried. What you should remember is that keyword matches (which is what i'm using) are case sensitive. ES doesnt do any analyzing or filtering of the data when you set the type of a field to keyword.
It's also possible to use a bool with a filter to get the same results (when you factor in a type)
{
"query": {
"bool": {
"must":
{
"term": {
"field1": {
"value": "word"
}
}
},
"filter":
{
"term": {
"field2": {
"value": "other word"
}
}
}
}
}
}
I am new to Elastic Search db. With id property i am able to do update and delete but without id property (I mean another property of document which is unique) it is not working. Please let me know, can we do it or not.
I think what you are looking for is
Update by Query
https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-update-by-query.html
POST twitter/_update_by_query?conflicts=proceed
{
"query": {
"term": {
"user": "kimchy"
}
}
}
Delete by Query
https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-delete-by-query.html
POST twitter/_delete_by_query
{
"query": {
"match": {
"message": "some message"
}
}
}
Here is the query to update
POST /indexName/typeName/_update_by_query
{
"query": {
"match": {
"name": "abc"
}
},
"script": {
"inline": "ctx._source.description = 'Updated description'"
}
}
Here is the query delete
POST /indexName/typeName/_delete_by_query
{
"query": {
"match": {
"name": "abc"
}
}
}
You can use _delete_by_query API.
_delete_by_query gets a snapshot of the index when it starts and deletes what it finds using internal versioning. That means that you’ll get a version conflict if the document changes between the time when the snapshot was taken and when the delete request is processed. When the versions match the document is deleted.
Code snippet.
POST twitter/_delete_by_query
{
"query": {
"match": {
"message": "some message"
}
}
}
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.