I want to get suggestions from some text for concrete user.
As I understand Elasticsearch provides suggestions based on the whole dictionary(inverted index) that contains all the terms in the index.
So if user1 posts some text then this text can be suggested to user2. Am I right?
Is it possible to add filter by criteria (by user for example) to reduce the set of terms to be suggested?
Yes, that's very much possible, let me show you by an example, which uses the query with filter context:
Index def
{
"mappings": {
"properties": {
"title": {
"type": "text" --> inverted index for storing suggestions on title field
},
"userId" : {
"type" : "keyword" --> like in you example
}
}
}
}
Index sample doc
{
"title" : "foo baz",
"userId" : "katrin"
}
{
"title" : "foo bar",
"userId" : "opster"
}
Search query without userId filter
{
"query": {
"bool": {
"must": {
"match": {
"title": "foo"
}
}
}
}
}
Search results(bring both results)
"hits": [
{
"_index": "so_suggest",
"_type": "_doc",
"_id": "1",
"_score": 0.18232156,
"_source": {
"title": "foo bar",
"userId": "posted" --> note another user
}
},
{
"_index": "so_suggest",
"_type": "_doc",
"_id": "2",
"_score": 0.18232156,
"_source": {
"title": "foo baz",
"userId": "katrin" -> note user
}
}
]
Now lets reduce the suggestion by filtering the docs created by user katrin
Search query
{
"query": {
"bool": {
"must": {
"match": {
"title": "foo"
}
},
"filter": {. --> note filter on userId field
"term": {
"userId": "katrin"
}
}
}
}
}
Search result
"hits": [
{
"_index": "so_suggest",
"_type": "_doc",
"_id": "2",
"_score": 0.18232156,
"_source": {
"title": "foo baz",
"userId": "katrin"
}
}
]
Related
I'm using a query like
{bool: {must: [{match: {name: "Cat Dog"}}]
This gives me records with name e.g. "Cat Dog Cow" but not e.g. "Cat Cow Dog".
As I read here solutions for it can be used span_near, is this the only way?
I tried query such as :
{"query":{"bool":{"must":[],"must_not":[],"should":[{"span_near":{"slop":12,"in_order":false,"clauses":[{"span_term":{"name":"Cat"}},{"span_term":{"name":"Dog"}}]}}]}}}
But this gives me 0 hits. What can be the issue?
The match query returns documents that match a provided text, the provided text is analyzed before matching.
Adding a working example
Index mapping:
{
"mappings": {
"properties": {
"name": {
"type": "text"
}
}
}
}
Search Query:
{
"query": {
"match": {
"name": {
"query": "Cat Dog"
}
}
}
}
Search Result:
"hits": [
{
"_index": "65230619",
"_type": "_doc",
"_id": "1",
"_score": 0.36464313,
"_source": {
"name": "Cat Dog Cow"
}
},
{
"_index": "65230619",
"_type": "_doc",
"_id": "2",
"_score": 0.36464313,
"_source": {
"name": "Cat Cow Dog"
}
}
]
Search Query using span_near
{
"query": {
"span_near" : {
"clauses" : [
{ "span_term" : { "name" : "cat" } },
{ "span_term" : { "name" : "dog" } }
],
"slop" : 12,
"in_order" : false
}
}
}
Im trying to understand why the below elasticsearch query does not work.
EDIT:
The fields mentioned in the query are from different indices. For example Filter has classification field which is in a different index to the fields mentioned in the query string.
The expectation of the filter query is that when the user searches specifically on classification field i.e. secret or protected then the values are displayed. Else if the user searches for any other field from a different index for example firstname or person, then it should not consider any filter applied as firstname or person is not part of the filter
{
"query": {
"bool": {
"filter": {
"terms": {
"classification": [
"secret",
"protected"
]
}
},
"must": {
"query_string": {
"query": "*john*",
"fields": [
"classification",
"firstname",
"releasability",
"person"
]
}
}
}
}
}
The result expected is john in the field person is returned. This works when there is no filter applied in the above code as
{
"query": {
"query_string": {
"query": "*john*",
"fields": [
"classification",
"firstname",
"releasability",
"person"
]
}
}
}
The purpose of the filter is only to filter records when the said fields contain the values mentioned, otherwise it should work for all values.
Why is it not producing the results for john and only producing results for classification values only?
Adding a working example with sample index data and search query.
To know more about Bool query refer this official documentation
Index Data:
Index data in my_index index
{
"name":"John",
"title":"b"
}
{
"name":"Johns",
"title":"a"
}
Index data in my_index1 index
{
"classification":"protected"
}
{
"classification":"secret"
}
Search Query :
POST http://localhost:9200/_search
{
"query": {
"bool": {
"should": [
{
"bool": {
"filter": [
{
"terms": {
"classification": [
"secret",
"protected"
]
}
}
]
}
},
{
"bool": {
"must": [
{
"query_string": {
"query": "*john*",
"fields": [
"name",
"title"
]
}
}
]
}
}
]
}
}
}
Search Result:
"hits": [
{
"_index": "my_index",
"_type": "_doc",
"_id": "1",
"_score": 1.0,
"_source": {
"name": "John",
"title": "b"
}
},
{
"_index": "my_index",
"_type": "_doc",
"_id": "2",
"_score": 1.0,
"_source": {
"name": "Johns",
"title": "a"
}
},
{
"_index": "my_index1",
"_type": "_doc",
"_id": "1",
"_score": 0.0,
"_source": {
"classification": "secret"
}
},
{
"_index": "my_index1",
"_type": "_doc",
"_id": "2",
"_score": 0.0,
"_source": {
"classification": "protected"
}
}
]
This works:
GET /bitbucket$$pull-request-activity/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"prid": "12343"
}
},
{
"match": {
"repoSlug": "com.xxx.vserver"
}
}
]
}
}
}
But I would like to capture multiple prids in one call.
This does not work however:
GET /bitbucket$$pull-request-activity/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"prid": "[12343, 11234, 13421]"
}
},
{
"match": {
"repoSlug": "com.xxx.vserver"
}
}
]
}
}
}
any hints?
As you are using must in your bool query, then this represents logical AND, so be sure that all the documents that you are Matching of the prid field, should also match with "repoSlug": "com.xxx.vserver".
If none of the documents match with "repoSlug": "com.xxx.vserver", then no result will return.
And, if only 2 documents match, then only 2 of them will be returned in the search result, and not all the documents.
Adding Working example with mapping, sample docs and search query
Index Sample Data :
{
"id":"1",
"message":"hello"
}
{
"id":"2",
"message":"hello"
}
{
"id":"3",
"message":"hello-bye"
}
Search Query:
{
"query": {
"bool": {
"must": [
{
"match": {
"id": "[1, 2, 3]"
}
},
{
"match": {
"message": "hello"
}
}
]
}
}
}
Search Result :
"hits": [
{
"_index": "foo14",
"_type": "_doc",
"_id": "1",
"_score": 1.5924306,
"_source": {
"id": "1",
"message": "hello"
}
},
{
"_index": "foo14",
"_type": "_doc",
"_id": "3",
"_score": 1.4903541,
"_source": {
"id": "3",
"message": "hello-bye"
}
},
{
"_index": "foo14",
"_type": "_doc",
"_id": "2",
"_score": 1.081605,
"_source": {
"id": "2",
"message": "hello"
}
}
]
I am getting results from following Elastic Search query:
"query": {
"bool": {
"should": [
{"match_phrase_prefix": {"title": keyword}},
{"match_phrase_prefix": {"second_title": keyword}}
]
}
}
The result is good, but I want to change the order of the result so that the results with matching title comes top.
Any help would be appreciated!!!
I was able to reproduce the issue with sample data and My solution is using a query time boost, as index time boost is deprecated from the Major version of ES 5.
Also, I've created sample data in such a manner, that without boost both the sample data will have a same score, hence there is no guarantee that one which has match comes first in the search result, this should help you understand it better.
1. Index Mapping
{
"mappings": {
"properties": {
"title": {
"type": "text"
},
"second_title" :{
"type" :"text"
}
}
}
}
2. Index Sample docs
a)
{
"title": "opster",
"second_title" : "Dimitry"
}
b)
{
"title": "Dimitry",
"second_title" : "opster"
}
Search query
{
"query": {
"bool": {
"should": [
{
"match_phrase_prefix": {
"title": {
"query" : "dimitry",
"boost" : 2.0 <-- Notice the boost in `title` field
}
}
},
{
"match_phrase_prefix": {
"second_title": {
"query" : "dimitry"
}
}
}
]
}
}
}
Output
"hits": [
{
"_index": "60454337",
"_type": "_doc",
"_id": "1",
"_score": 1.3862944,
"_source": {
"title": "Dimitry", <-- Dimitry in title field has doube score
"second_title": "opster"
}
},
{
"_index": "60454337",
"_type": "_doc",
"_id": "2",
"_score": 0.6931472,
"_source": {
"title": "opster",
"second_title": "Dimitry"
}
}
]
Let me know if you have any doubt understanding it.
Do you know if we can merge dynamically 2 fields which belong to different types in one unique field
I have an index my_index with 2 types type1 and type2
I am doing a search on those 2 types :
POST /my_index/_search
{
"min_score": 1,
"query": {
"bool": {
"should": [
{
"match": {
"titreType1": {
"query": "boy"
}
}
},
{
"match": {
"titreType2": {
"query": "boy"
}
}
}
]
}
}
}
I will have results from the 2 different types that looks like to:
"hits": [
{
"_index": "my_index",
"_type": "type1",
"_id": "AVo0LhFj8N13TOVDqMo9",
"_score": 13.171456,
"_source": {
"titreType1": "the boy !"
}
},
{
"_index": "my_index",
"_type": "type1",
"_id": "AVo0Lg5X8N13TOVDqMUH",
"_score": 12.986091,
"_source": {
"titreType1": "if i were a boy"
}
},
{
"_index": "my_index",
"_type": "type2",
"_id": "AVo0S-nM8N13TOVDqNPX",
"_score": 12.34135,
"_source": {
"titreType2": "boy are very nasty and it is sad"
}
},
...
]
I would like to have in my result just one column named "title" that display value from titreType1 or titreType2
Do you know how to do this?