I'm having problem with an elasticsearch query. I want to be able to sort the results but elasticsearch is ignoring the sort tag. Here my query:
{
"sort": [{
"title": {"order": "desc"}
}],
"query":{
"term": { "title": "pagos" }
}
}
However, when I remove the query part and I send only the sort tag, it works. Can anyone point me out the correct way?
I also tried with the following query, which is the complete query that I have:
{
"sort": [{
"title": {"order": "asc"}
}],
"query":{
"bool":{
"should":[
{
"match":{
"title":{
"query":"Pagos",
"boost":9
}
}
},
{
"match":{
"description":{
"query":"Pagos",
"boost":5
}
}
},
{
"match":{
"keywords":{
"query":"Pagos",
"boost":3
}
}
},
{
"match":{
"owner":{
"query":"Pagos",
"boost":2
}
}
}
]
}
}
}
Settings
{
"settings": {
"analysis": {
"filter": {
"autocomplete_filter": {
"type": "ngram",
"min_gram": 3,
"max_gram": 15,
"token_chars": [
"letter",
"digit",
"punctuation",
"symbol"
]
}
},
"analyzer": {
"default" : {
"tokenizer" : "standard",
"filter" : ["standard", "lowercase", "asciifolding"]
},
"autocomplete": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase",
"asciifolding",
"autocomplete_filter"
]
}
}
}
}
}
Mappings
{
"objects": {
"properties": {
"id": { "type": "string", "index": "not_analyzed" },
"type": { "type": "string" },
"title": { "type": "string", "boost": 9, "analyzer": "autocomplete", "search_analyzer": "standard" },
"owner": { "type": "string", "boost": 2 },
"description": { "type": "string", "boost": 4 },
"keywords": { "type": "string", "boost": 1 }
}
}
}
Thanks in advance!
Sort mode optioneditPick the highest value. Use the sum of all values as sort value. Only applicable for number based array fields. Use the average of all values as sort value.
In order to sort by relevance, we need to represent relevance as a value. In Elasticsearch, the relevance score is represented by the floating-point number returned in the search results as the _score, so the default sort order is _score descending. In the previous example, we searched for movies from 1962.
The _score in Elasticsearch is a way of determining how relevant a match is to the query. The default scoring function used by Elasticsearch is actually the default built in to Lucene which is what Elasticsearch runs under the hood.
Elasticsearch DSL is a high-level library whose aim is to help with writing and running queries against Elasticsearch. It is built on top of the official low-level client (elasticsearch-py).
The field "title" in your document is an analyzed string field, which is also a multivalued field, which means elasticsearch will split the contents of the field into tokens and stores it separately in the index. You probably want to sort the "title" field alphabetically on the first term, then on the second term, and so forth, but elasticsearch doesn’t have this information at its disposal at sort time.
Hence you can change your mapping of the "title" field from:
{
"title": {
"type": "string", "boost": 9, "analyzer": "autocomplete", "search_analyzer": "standard"
}
}
into a multifield mapping like this:
{
"title": {
"type": "string", "boost": 9, "analyzer": "autocomplete", "search_analyzer":"standard",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
Now execute your search based on analyzed "title" field and sort based on the not_analyzed "title.raw" field
{
"sort": [{
"title.raw": {"order": "desc"}
}],
"query":{
"term": { "title": "pagos" }
}
}
It is beautifully explained here: String Sorting and Multifields
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With