I have indexed sample documents in elasticsearch and trying to search using fuzzy query. But am not getting any results when am search by using Java fuzzy query api.
Please find my below mapping script :
PUT productcatalog
{
"settings": {
"analysis": {
"analyzer": {
"attr_analyzer": {
"type": "custom",
"tokenizer": "letter",
"char_filter": [
"html_strip"
],
"filter": ["lowercase", "asciifolding", "stemmer_minimal_english"]
}
},
"filter" : {
"stemmer_minimal_english" : {
"type" : "stemmer",
"name" : "minimal_english"
}
}
}
},
"mappings": {
"doc": {
"properties": {
"values": {
"type": "text",
"analyzer": "attr_analyzer"
},
"catalog_type": {
"type": "text"
},
"catalog_id":{
"type": "long"
}
}
}
}
}
Please find my sample data.
PUT productcatalog/doc/1
{
"catalog_id" : "343",
"catalog_type" : "series",
"values" : "Activa Rooftop, valves, VG3000, VG3000FS, butterfly, ball"
}
PUT productcatalog/doc/2
{
"catalog_id" : "12717",
"catalog_type" : "product",
"values" : "Activa Rooftop, valves"
}
Please find my search script :
GET productcatalog/_search
{
"query": {
"match" : {
"values" : {
"query" : " activa rooftop VG3000",
"operator" : "and",
"boost": 1.0,
"fuzziness": 2,
"prefix_length": 0,
"max_expansions": 100
}
}
}
}
Am getting the below results for the above query :
{
"took": 239,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.970927,
"hits": [
{
"_index": "productcatalog",
"_type": "doc",
"_id": "1",
"_score": 0.970927,
"_source": {
"catalog_id": "343",
"catalog_type": "series",
"values": "Activa Rooftop, valves, VG3000, VG3000FS, butterfly, ball"
}
}
]
}
}
But if i use the below Java API for the same fuzzy search am not getting any results out of it.
Please find my below Java API query for fuzzy search :
QueryBuilder qb = QueryBuilders.boolQuery()
.must(QueryBuilders.fuzzyQuery("values", keyword).boost(1.0f).prefixLength(0).maxExpansions(100));
Update 1
I have tried with the below query
QueryBuilder qb = QueryBuilders.matchQuery(QueryBuilders.fuzzyQuery("values", keyword).boost(1.0f).prefixLength(0).maxExpansions(100));
But am not able to pass QueryBuilders inside matchQuery. Am getting this suggestion while am writing this query The method matchQuery(String, Object) in the type QueryBuilders is not applicable for the arguments (FuzzyQueryBuilder)
The mentioned java query is not a match query. It's a must query. you should use matchQuery instead of boolQuery().must(QueryBuilders.fuzzyQuery())
Update 1:
fuzzy query is a term query while match query is a full text query.
Also don't forget that in match query the default Operator is or operator which you should change it to and like your dsl query.
Related
This is how my data looks like
{
"_id" : "2011250546437843117",
"name" : "Book",
"textbook" : [
"Maths",
"Science"
],
"language" : [
"English"
],
"isRead" : true,
"isAvailable" : true
}
I have to filter documents based on textbook,and based on that isRead field should be true or false.
my mongo query is
db.user.aggregate([
{
$match: {
"isAvailable": true
}
},
{
$project: {
"textbook": 1,
"name": 1,
"isread": {
$in: [
"Maths",
"$textbook"
]
}
}
}
]);
I have tried to write this using mongo-template
Aggregation aggregation = newAggregation(match(Criteria.where("isAvailable").is(true)),
project("textbook","name"));
I dont understand how to write the $in operator in project stage.
Thankyou in advance.
I have a field called Description which is a text field and has data like:
This is a good thing for versions before 3.2 but bad for 3.5 and later
I want to run range query on this type of text. I know that for a field containing only Dates/Age(Numbers) or even String Ids, we can use queries like
{
"query": {
"range" : {
"age" : {
"gte" : 10,
"lte" : 20,
"boost" : 2.0
}
}
}
}
But i have a mixed field like mentioned above and I need to perform range query on that. Also, i cannot change the index structure. I can only perform queries or do some post processing after retrieving results. So anyone has any idea how to run this type of query, or even obtain my goal after getting results in the post processing? I am using Java.
I hope i fully understand what you are looking for.
I've managed to create a simple working example.
Mappings
Using char_group tokenizer:
The char_group tokenizer breaks text into terms whenever it encounters a character which is in a defined set. It is mostly useful for cases where a simple custom tokenization is desired, and the overhead of use of the pattern tokenizer is not acceptable.
Char Group Tokenizer
PUT my_index
{
"settings": {
"analysis": {
"analyzer": {
"my_analyzer": {
"type": "custom",
"tokenizer": "my_tokenizer"
}
},
"tokenizer": {
"my_tokenizer": {
"type": "char_group",
"tokenize_on_chars": [
"letter",
"whitespace"
]
}
}
}
},
"mappings": {
"properties": {
"text": {
"type": "text",
"fields": {
"digit": {
"type": "text",
"analyzer": "my_analyzer"
}
}
}
}
}
}
Post a few documents
PUT my_index/_doc/1
{
"text": "This is a good thing for versions before 3.2 but bad for 3.5 and later"
}
PUT my_index/_doc/2
{
"text": "This is a good thing for versions before 5 but bad for 6 and later"
}
Search Query
GET my_index/_search
{
"query": {
"range": {
"text.digit": {
"gte": 3.2,
"lte": 3.5
}
}
}
}
Results
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "my_index",
"_type" : "_doc",
"_id" : "1",
"_score" : 1.0,
"_source" : {
"text" : "This is a good thing for versions before 3.2 but bad for 3.5 and later"
}
}
]
}
Another Search Query
GET my_index/_search
{
"query": {
"range": {
"text.digit": {
"gt": 3.5
}
}
}
}
Results
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "my_index",
"_type" : "_doc",
"_id" : "2",
"_score" : 1.0,
"_source" : {
"text" : "This is a good thing for versions before 5 but bad for 6 and later"
}
}
]
}
Analyze Query
Play with the following query till you get the desired results.
It is already compatible to your example.
This is a good thing for versions before 3.2 but bad for 3.5 and later
POST _analyze
{
"tokenizer": {
"type": "char_group",
"tokenize_on_chars": [
"letter",
"whitespace"
]
},
"text": "This is a good thing for versions before 3.2 but bad for 3.5 and later"
}
Hope this helps
I'm trying to implement custom search in elastic search.
Problem statement is consider 3 documents inserted into elastic search with "names" field as array:
{
id:1,
names:["John Wick","Iron man"]
}
{
id:2,
names:["Wick Stone","Nick John"]
}
{
id:3,
names:["Manny Nick","Stone cold"]
}
when I search for "Nick" I want to boost or give priority to document starting with Nick so in this case document with id 2 should come first and then document with id 3 and also if I search for whole name "Manny Nick"
doc with id 3 should be given priority.
In such case, you may want to modify/boost the score of search matched result for required criteria. For example, match the documents with names "Nick" and at the same time modify and boost the score of documents which contains names that start with Nick so that documents that match Nick and also starts with Nick will have higher score.
One of the way to achieve this is using Function Score Query.
In the below query, search is made for keyword "Nick" and matched documents' score is modified and boosted for criteria "names that start with Nick" using Match Phrase Prefix Query with additional weight 20.
{
"query": {
"function_score": {
"query": {
"match": {
"names": "Nick"
}
},
"boost": "1",
"functions": [
{
"filter": {
"match_phrase_prefix": {
"names": "Nick"
}
},
"weight": 20
}
],
"boost_mode": "sum"
}
}
}
Testing:
Inserted data:
{
id:1,
names:["John Wick","Iron man"]
}
{
id:2,
names:["Wick Stone","Nick John"]
}
{
id:3,
names:["Manny Nick","Stone cold"]
}
Output:
{
"took": 10,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 20.693148,
"hits": [
{
"_index": "stack_1",
"_type": "1",
"_id": "T9kn5WsBrk7qsVCmKBGH",
"_score": 20.693148,
"_source": {
"id": 2,
"names": [
"Wick Stone",
"Nick John"
]
}
},
{
"_index": "stack_1",
"_type": "1",
"_id": "Ttkm5WsBrk7qsVCm2RF_",
"_score": 20.287682,
"_source": {
"id": 3,
"names": [
"Manny Nick",
"Stone cold"
]
}
}
]
}
}
I am trying to retrieve the data from SearchResponse class with the above code:
SearchHits searchHits = searchResponse.getHits();
for (SearchHit searchHit : searchHits) {
SearchHitField title = searchHit.field("title");
System.out.println(title.getValue().toString());
}
But I get a null pointer exception in title.getValue() function. The "title" field is definitely there and I can verify that by printing the search response which gives the following output:
{
"took" : 13,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 1,
"max_score" : 1.0,
"hits" : [ {
"_index" : "myIndex",
"_type" : "myTye",
"_id" : "5c849b0f-d72d-4cc9-9b8c-e1201f888f94",
"_score" : 2.4181843,
"_source":{"esId":"100200153", "title":"Book 1"}
}
}
I know that I can retrieve the data with searchHit.getSource() but I am wondering why the above solution isn't working as well.
I think you have to specify .fields(fields) in the request to be able to access the fields part.
For example, if you have a query like this:
{
"query": {
"match_all": {}
}
}
you get in the hits section of the result some fields (_id, _type..., _source).
But, if you have something like this:
{
"query": {
"match_all": {}
},
"fields": ["my_field"]
}
you get back a different result:
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "test_malformed",
"_type": "test",
"_id": "1",
"_score": 1,
"fields": {
"my_field": [
"whatever"
]
}
},
...
You notice there, in the hits you have fields where the field specified in the search request is being returned.
It looks like you are almost there. On each hit, instead of getting the title, get the _source object, then the title field from that source object.
I am so tied for split the data for my expectation output. But i could not able to got it. I tried all the Filter and Tokenizer.
I Have Updated setting in elastic search as give below.
{
"settings": {
"analysis": {
"filter": {
"filter_word_delimiter": {
"preserve_original": "true",
"type": "word_delimiter"
}
},
"analyzer": {
"en_us": {
"tokenizer": "keyword",
"filter": [ "filter_word_delimiter","lowercase" ]
}
}
}
}
}
Executed Queries
curl -XGET "XX.XX.XX.XX:9200/keyword/_analyze?pretty=1&analyzer=en_us" -d 'DataGridControl'
Hits value
{
"tokens" : [ {
"token" : "datagridcontrol"
"start_offset" : 0,
"end_offset" : 16,
"type" : "word",
"position" : 1
}, {
"token" : "data",
"start_offset" : 0,
"end_offset" : 4,
"type" : "word",
"position" : 1
}, {
"token" : "grid",
"start_offset" : 4,
"end_offset" : 8,
"type" : "word",
"position" : 2
}, {
"token" : "control",
"start_offset" : 9,
"end_offset" : 16,
"type" : "word",
"position" : 3
} ]
}
Expectation Result like ->
DataGridControl
DataGrid
DataControl
Data
grid
control
What type of tokenizer and Filter add to index setting.
Any help ?
Try this:
{
"settings": {
"analysis": {
"filter": {
"filter_word_delimiter": {
"type": "word_delimiter"
},
"custom_shingle": {
"type": "shingle",
"token_separator":"",
"max_shingle_size":3
}
},
"analyzer": {
"en_us": {
"tokenizer": "keyword",
"filter": [
"filter_word_delimiter",
"custom_shingle",
"lowercase"
]
}
}
}
}
}
and let me know if it gets you any closer.