I want to query my elasticsearch (using a python library) and I want to filter some of the document. Since I don't want to have a score I'm using only filter and must not keyword:
{
"_source": ["entities"],
"query": {
"bool": {
"must_not": [
{"exists": {"field": "retweeted_status"}}
],
"filter": [
{"match": {"entities.urls.display_url": "blabla.com"}},
{"match": {"entities.urls.display_url": "blibli.com"}}]
}
}
}
This is the query I have done but the problem is that in the same filter it's apparently a AND operation that is effectued. I would like it to be a OR. How can I change my query to have all the document that contain "blibli.com" OR "blabla.com"
You can nest bool inside another bool so you can write query like this:
{
"query": {
"bool": {
"must_not": [
{
"exists": {
"field": "retweeted_status"
}
}
],
"filter": [
{
"bool": {
"should": [
{
"match": {
"entities.urls.display_url": "blabla.com"
}
},
{
"match": {
"entities.urls.display_url": "blibli.com"
}
}
]
}
}
]
}
}
}
Tested on ES 5.3, you can use Explain API to check if this also works in your version of Elasticsearch.
Related
I am working on ignoring accents and plural/singular when I make a search query. I copied the Spanish analyzer from here and left only the stemmer https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-lang-analyzer.html
you can check my code in Python (I bulk the data from a CSV latter):
settings={
"settings": {
"analysis": {
"filter": {
"spanish_stemmer": {
"type": "stemmer",
"language": "light_spanish"
}
},
"analyzer": {
"rebuilt_spanish": {
"tokenizer": "standard",
"filter": [
"lowercase",
"spanish_stemmer"
]
}
}
}
}
}
es.indices.create(index="activities", body=settings)
However, when I try a GET query from insomnia like geometrico, geométrico, geométricos, geometricos I get 0 results and there is a doc with Title Cuerpos geométricos. It should match since I want to make no difference with accents and plural singular. Any ideas?
The GET query I do:
{
"query": {
"function_score": {
"query": {
"multi_match": {
"query": "geométricos",
"fields": [
"Descripcion",
"Nombre",
"Tags"
],
"analyzer":"rebuilt_spanish"
}
}
}
}
}
You will need to add ASCII folding token filter to your token filters check official documentation here. So your Analyzer should be like this:
Anlayzer:
"analysis": {
"filter": {
"spanish_stemmer": {
"type": "stemmer",
"language": "light_spanish"
}
},
"analyzer": {
"rebuilt_spanish": {
"tokenizer": "standard",
"filter": [
"asciifolding", // ASCII folding token filter
"lowercase",
"spanish_stemmer"
]
}
}
}
}
I have a date field in my documents and I want to return only documents that have a date less than now - 5m, however not all my documents have the filed, they only recieve on the first time they get individually queried.
documents = es.search(index='index_name', size=10000, body={
"query": {
"bool": {
"must": [
{
"range": {
"time_lockout": {
"lt": "now-5m"
}
}
}
],
"filter": [
],
"should": [
],
"must_not": [
]
}
}})
So my pseudo code would be,
if `time_lockout` exists
give documents that are now-5 including all documents thats dont have `time_lockout`
Exclude documents that dat range falls withon that 5 minute window
Update the query to below:
{
"query": {
"bool": {
"should": [
{
"range": {
"time_lockout": {
"lt": "now-5m"
}
}
},
{
"bool": {
"must_not": [
{
"exists": {
"field": "time_lockout"
}
}
]
}
}
]
}
}
}
The following JSON structure gives me an error when doing a query:
{
"query": {
"function_score": {
"query": {
"bool": {
"should": [
{
"multi_match": {
"query": "BRCA1",
"fuzziness": "AUTO",
"fields": [
"Long_Name",
"Short_Name",
"Uniprot_ID^10",
"Genes^2",
"Diseases^2",
"Function",
"Domains"
]
}
},
{
"term": {
"Is_Reviewed": true
}
},
{
"term": {
"Has_Function": true
}
}
]
}
}
},
"field_value_factor": {
"field": "Number_Of_Structures"
}
},
"size": 100
}
The error is:
[function_score] malformed query, expected [END_OBJECT] but found [FIELD_NAME]
The bool query on its own works perfectly, but as soon as I use function_score, it stops working. I have tried to follow this example: https://www.elastic.co/guide/en/elasticsearch/guide/master/boosting-by-popularity.html
Any ideas as to what I am doing wrong would be much appreciated!
You must put field_value_factor one level higher, inside function_score:
{
"query": {
"function_score": {
"query": {
"bool": {
"should": [
{
"multi_match": {
"query": "BRCA1",
"fuzziness": "AUTO",
"fields": [
"Long_Name",
"Short_Name",
"Uniprot_ID^10",
"Genes^2",
"Diseases^2",
"Function",
"Domains"
]
}
},
{
"term": {
"Is_Reviewed": true
}
},
{
"term": {
"Has_Function": true
}
}
]
}
},
"field_value_factor": {
"field": "Number_Of_Structures"
}
}
},
"size": 100
}
I am using Python to query Elasticsearch with a custom query. Let's look at a very simple example that will search for a given term in the field 'name' and another one in the 'surname' field of the document:
from elasticsearch import Elasticsearch
import json
# read query from external JSON
with open('query.json') as data_file:
read_query= json.load(data_file)
# search with elastic search and show hits
es = Elasticsearch()
# set query through body parameter
res = es.search(index="test", doc_type="articles", body=read_query)
print("%d documents found" % res['hits']['total'])
for doc in res['hits']['hits']:
print("%s) %s" % (doc['_id'], doc['_source']['content']))
'query.json'
{
"query": {
"bool": {
"should": [
{
"match": {
"name": {
"query": "Star",
"boost": 2
}
}
},
{
"match": {
"surname": "Fox"
}
}
]
}
}
}
Now, I am expecting the input of search words from the user, the first word that is typed in is used for the field 'name' and the second one for 'surname'. Let's imagine I will replace the {$name} and {$surname} with the two words that have been typed in by the user using python:
'query.json'
{
"query": {
"bool": {
"should": [
{
"match": {
"name": {
"query": "{$name}",
"boost": 2
}
}
},
{
"match": {
"surname": "{$surname}"
}
}
]
}
}
}
Now the problem arises when the user doesn't input the surname but only the name, so I end up with the following query:
'query.json'
{
"query": {
"bool": {
"should": [
{
"match": {
"name": {
"query": "Star",
"boost": 2
}
}
},
{
"match": {
"surname": ""
}
}
]
}
}
}
The field "surname" is now empty and elasticsearch will look for hits where "surname" is an empty string, which is not what I want. I want to ignore the surname field if the input term is empty. Is there any mechanism in elasticsearch to set a part of query to be ignored if the given term is empty?
{
"query": {
"bool": {
"should": [
{
"match": {
"name": {
"query": "Star",
"boost": 2
}
}
},
{
"match": {
"surname": "",
"ignore_if_empty" <--- this would be really cool
}
}
]
}
}
}
Maybe there is any other way of generating query strings? I can't seem to find anything about query generation in Elasticsearch. How do you guys do it? Any input is welcome!
Python DSL seems to be the proper way of doing it https://github.com/elastic/elasticsearch-dsl-py/
I am recently using elasticsearch in a website. The scenario is, I have to search a string on afield. So, if the field is named as title then my search query was,
"query" :{"match": {"title": my_query_string}}.
But now I need to add another field in it. Let say, category. So i need to find the matches of my string which are in category :some_category and which have title : my_query_string I tried with multi_match. But it does not give me the result i am looking for. I am looking into query filter now. But is there way of adding two fields in such criteria in my match query?
GET indice/_search
{
"query": {
"bool": {
"should": [
{
"match": {
"title": "title"
}
},
{
"match": {
"category": "category"
}
}
]
}
}
}
Replace should with must if desired.
Ok, so I think that what you need is something like this:
"query": {
"filtered": {
"query": {
"match": {
"title": YOUR_QUERY_STRING,
}
},
"filter": {
"term": {
"category": YOUR_CATEGORY
}
}
}
}
If your category field is analyzed, then you will need to use match instead of term in the filter.
"query": {
"filtered": {
"query": {
"bool": {
"should": [
{"match": {"title": "bold title"},
{"match": {"body": "nice body"}}
]
}
},
"filter": {
"term": {
"category": "xxx"
}
}
}
}