Elasticsearch aggregation on results of Suggesters
1
I'm a beginner in Elasticsearch.
I want to aggregate the result of Completion Suggester.
There are multi-indices and multiple tags are added on "tags" field like below.
Documents
GET http://localhost:9200/index1/user-category1/1?pretty
{
"_index": "index1",
"_type": "user-category1",
"_id": "1",
"_version": 1,
"found": true,
"_source": {
"user_id": 1,
"tags": [
"Apple",
"Orange",
"Peach"
]
}
}
GET http://localhost:9200/index2/user-category2/2?pretty
{
"_index": "index2",
"_type": "user-category2",
"_id": "2",
"_version": 1,
"found": true,
"_source": {
"user_id": 2,
"tags": [
"Grape",
"Apple"
]
}
}
And then, I created mappings like this.
Mappings
"tags": {
"type": "text",
"fields": {
"raw": {
"type": "keyword"
},
"suggest": {
"type": "completion"
}
}
}
Query
POST http://localhost:9200/_all/_search?pretty
{
"_source": false,
"suggest": {
"tags_suggest": {
"prefix": "A",
"completion": {
"field": "tags.suggest"
}
}
}
}
Result
{
"took": 5,
"timed_out": false,
"_shards": {
"total": 2,
"successful": 2,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits":
},
"suggest": {
"tags_suggest": [
{
"text": "A",
"offset": 0,
"length": 1,
"options": [
{
"text": "Apple",
"_index": "index1",
"_type": "user-category1",
"_id": "1",
"_score": 1
},
{
"text": "Apple",
"_index": "index2",
"_type": "user-category2",
"_id": "2",
"_score": 1
}
]
}
]
}
}
The query returns the results of suggestions correctly, however, the problem is that I can't get the total count of "Apple"
How can I get the results like below?
"aggregations": {
"keywords": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Apple",
"doc_count": 2
}
]
}
}
I tried the query below, but it doesn't work.
{
"_source": false,
"suggest": {
"tags_suggest": {
"prefix": "A",
"completion": {
"field": "tags.suggest"
}
}
},
"aggs": {
"tags": {
"terms": {
"field": "tags.keyword"
}
}
}
}
elasticsearch autosuggest search-suggestion
asked Nov 22 '18 at 4:00
AnkAnk
63
add a comment |
1
I'm a beginner in Elasticsearch.
I want to aggregate the result of Completion Suggester.
There are multi-indices and multiple tags are added on "tags" field like below.
Documents
GET http://localhost:9200/index1/user-category1/1?pretty
{
"_index": "index1",
"_type": "user-category1",
"_id": "1",
"_version": 1,
"found": true,
"_source": {
"user_id": 1,
"tags": [
"Apple",
"Orange",
"Peach"
]
}
}
GET http://localhost:9200/index2/user-category2/2?pretty
{
"_index": "index2",
"_type": "user-category2",
"_id": "2",
"_version": 1,
"found": true,
"_source": {
"user_id": 2,
"tags": [
"Grape",
"Apple"
]
}
}
And then, I created mappings like this.
Mappings
"tags": {
"type": "text",
"fields": {
"raw": {
"type": "keyword"
},
"suggest": {
"type": "completion"
}
}
}
Query
POST http://localhost:9200/_all/_search?pretty
{
"_source": false,
"suggest": {
"tags_suggest": {
"prefix": "A",
"completion": {
"field": "tags.suggest"
}
}
}
}
Result
{
"took": 5,
"timed_out": false,
"_shards": {
"total": 2,
"successful": 2,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits":
},
"suggest": {
"tags_suggest": [
{
"text": "A",
"offset": 0,
"length": 1,
"options": [
{
"text": "Apple",
"_index": "index1",
"_type": "user-category1",
"_id": "1",
"_score": 1
},
{
"text": "Apple",
"_index": "index2",
"_type": "user-category2",
"_id": "2",
"_score": 1
}
]
}
]
}
}
The query returns the results of suggestions correctly, however, the problem is that I can't get the total count of "Apple"
How can I get the results like below?
"aggregations": {
"keywords": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Apple",
"doc_count": 2
}
]
}
}
I tried the query below, but it doesn't work.
{
"_source": false,
"suggest": {
"tags_suggest": {
"prefix": "A",
"completion": {
"field": "tags.suggest"
}
}
},
"aggs": {
"tags": {
"terms": {
"field": "tags.keyword"
}
}
}
}
elasticsearch autosuggest search-suggestion
asked Nov 22 '18 at 4:00
AnkAnk
63
add a comment |
1
1
1
I'm a beginner in Elasticsearch.
I want to aggregate the result of Completion Suggester.
There are multi-indices and multiple tags are added on "tags" field like below.
Documents
GET http://localhost:9200/index1/user-category1/1?pretty
{
"_index": "index1",
"_type": "user-category1",
"_id": "1",
"_version": 1,
"found": true,
"_source": {
"user_id": 1,
"tags": [
"Apple",
"Orange",
"Peach"
]
}
}
GET http://localhost:9200/index2/user-category2/2?pretty
{
"_index": "index2",
"_type": "user-category2",
"_id": "2",
"_version": 1,
"found": true,
"_source": {
"user_id": 2,
"tags": [
"Grape",
"Apple"
]
}
}
And then, I created mappings like this.
Mappings
"tags": {
"type": "text",
"fields": {
"raw": {
"type": "keyword"
},
"suggest": {
"type": "completion"
}
}
}
Query
POST http://localhost:9200/_all/_search?pretty
{
"_source": false,
"suggest": {
"tags_suggest": {
"prefix": "A",
"completion": {
"field": "tags.suggest"
}
}
}
}
Result
{
"took": 5,
"timed_out": false,
"_shards": {
"total": 2,
"successful": 2,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits":
},
"suggest": {
"tags_suggest": [
{
"text": "A",
"offset": 0,
"length": 1,
"options": [
{
"text": "Apple",
"_index": "index1",
"_type": "user-category1",
"_id": "1",
"_score": 1
},
{
"text": "Apple",
"_index": "index2",
"_type": "user-category2",
"_id": "2",
"_score": 1
}
]
}
]
}
}
The query returns the results of suggestions correctly, however, the problem is that I can't get the total count of "Apple"
How can I get the results like below?
"aggregations": {
"keywords": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Apple",
"doc_count": 2
}
]
}
}
I tried the query below, but it doesn't work.
{
"_source": false,
"suggest": {
"tags_suggest": {
"prefix": "A",
"completion": {
"field": "tags.suggest"
}
}
},
"aggs": {
"tags": {
"terms": {
"field": "tags.keyword"
}
}
}
}
elasticsearch autosuggest search-suggestion
asked Nov 22 '18 at 4:00
AnkAnk
63
I'm a beginner in Elasticsearch.
I want to aggregate the result of Completion Suggester.
There are multi-indices and multiple tags are added on "tags" field like below.
Documents
GET http://localhost:9200/index1/user-category1/1?pretty
{
"_index": "index1",
"_type": "user-category1",
"_id": "1",
"_version": 1,
"found": true,
"_source": {
"user_id": 1,
"tags": [
"Apple",
"Orange",
"Peach"
]
}
}
GET http://localhost:9200/index2/user-category2/2?pretty
{
"_index": "index2",
"_type": "user-category2",
"_id": "2",
"_version": 1,
"found": true,
"_source": {
"user_id": 2,
"tags": [
"Grape",
"Apple"
]
}
}
And then, I created mappings like this.
Mappings
"tags": {
"type": "text",
"fields": {
"raw": {
"type": "keyword"
},
"suggest": {
"type": "completion"
}
}
}
Query
POST http://localhost:9200/_all/_search?pretty
{
"_source": false,
"suggest": {
"tags_suggest": {
"prefix": "A",
"completion": {
"field": "tags.suggest"
}
}
}
}
Result
{
"took": 5,
"timed_out": false,
"_shards": {
"total": 2,
"successful": 2,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 0,
"max_score": 0,
"hits":
},
"suggest": {
"tags_suggest": [
{
"text": "A",
"offset": 0,
"length": 1,
"options": [
{
"text": "Apple",
"_index": "index1",
"_type": "user-category1",
"_id": "1",
"_score": 1
},
{
"text": "Apple",
"_index": "index2",
"_type": "user-category2",
"_id": "2",
"_score": 1
}
]
}
]
}
}
The query returns the results of suggestions correctly, however, the problem is that I can't get the total count of "Apple"
How can I get the results like below?
"aggregations": {
"keywords": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Apple",
"doc_count": 2
}
]
}
}
I tried the query below, but it doesn't work.
{
"_source": false,
"suggest": {
"tags_suggest": {
"prefix": "A",
"completion": {
"field": "tags.suggest"
}
}
},
"aggs": {
"tags": {
"terms": {
"field": "tags.keyword"
}
}
}
}
elasticsearch autosuggest search-suggestion
elasticsearch autosuggest search-suggestion
asked Nov 22 '18 at 4:00
AnkAnk
63
asked Nov 22 '18 at 4:00
AnkAnk
63
edited Nov 22 '18 at 6:24
Ank
asked Nov 22 '18 at 4:00
AnkAnk
63
asked Nov 22 '18 at 4:00
AnkAnk
63
asked Nov 22 '18 at 4:00
AnkAnk
63
63
add a comment |
add a comment |
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