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ElasticSearch: How can matches be sorted by where they are found in the field
Elasticsearch query multi_matchHow to search for a part of a word with ElasticSearchMake elasticsearch only return certain fields?ElasticSearch results aren't relevantGet the number of unique terms in a field in elasticsearchhow can I sort ElasticSearch result properlyQuerying a field having nested objects in ElasticsearchHow to match fields starting with phrase in ElasticsearchHow to get the word count for all the documents based on index and type in elasticsearch?elasticsearch boost query in feild having multiple valueHow to write Elasticsearch DSL multi field and multi term query?
Example:
We have three documents:
doc1
"field1": "xxxyyyzzz"
doc2
"field1": "yyyxxxzzz"
doc3
"field1": "yyyzzzxxx"
When searching for "xxx", the search result should be:
doc1, doc2, doc3 in this order.
elasticsearch
edited Mar 7 at 13:49
Vishal Shukla
1,78011017
asked Mar 7 at 10:19
JuliaJulia
1881313
add a comment |
Example:
We have three documents:
doc1
"field1": "xxxyyyzzz"
doc2
"field1": "yyyxxxzzz"
doc3
"field1": "yyyzzzxxx"
When searching for "xxx", the search result should be:
doc1, doc2, doc3 in this order.
elasticsearch
edited Mar 7 at 13:49
Vishal Shukla
1,78011017
asked Mar 7 at 10:19
JuliaJulia
1881313
Does stackoverflow.com/questions/54863990/… solve your problem?
– Vishal Shukla
Mar 7 at 10:21
@Vishal Shukla: We already use ngram tokenizer, all three documents are found but the order is wrong.
– Julia
Mar 7 at 10:27
@VishalShukla: No, stackoverflow.com/questions/54863990/… doesn't solve my problem. The problem is the order of the documents that are found.
– Julia
Mar 7 at 10:41
Added solution. Kindly acknowledge if it solves your problem.
– Vishal Shukla
Mar 8 at 11:19
add a comment |
Example:
We have three documents:
doc1
"field1": "xxxyyyzzz"
doc2
"field1": "yyyxxxzzz"
doc3
"field1": "yyyzzzxxx"
When searching for "xxx", the search result should be:
doc1, doc2, doc3 in this order.
elasticsearch
edited Mar 7 at 13:49
Vishal Shukla
1,78011017
asked Mar 7 at 10:19
JuliaJulia
1881313
Example:
We have three documents:
doc1
"field1": "xxxyyyzzz"
doc2
"field1": "yyyxxxzzz"
doc3
"field1": "yyyzzzxxx"
When searching for "xxx", the search result should be:
doc1, doc2, doc3 in this order.
elasticsearch
elasticsearch
edited Mar 7 at 13:49
Vishal Shukla
1,78011017
asked Mar 7 at 10:19
JuliaJulia
1881313
edited Mar 7 at 13:49
Vishal Shukla
1,78011017
asked Mar 7 at 10:19
JuliaJulia
1881313
edited Mar 7 at 13:49
Vishal Shukla
1,78011017
edited Mar 7 at 13:49
Vishal Shukla
1,78011017
edited Mar 7 at 13:49
Vishal Shukla
1,78011017
1,78011017
asked Mar 7 at 10:19
JuliaJulia
1881313
asked Mar 7 at 10:19
JuliaJulia
1881313
asked Mar 7 at 10:19
JuliaJulia
1881313
1881313
Does stackoverflow.com/questions/54863990/… solve your problem?
– Vishal Shukla
Mar 7 at 10:21
@Vishal Shukla: We already use ngram tokenizer, all three documents are found but the order is wrong.
– Julia
Mar 7 at 10:27
@VishalShukla: No, stackoverflow.com/questions/54863990/… doesn't solve my problem. The problem is the order of the documents that are found.
– Julia
Mar 7 at 10:41
Added solution. Kindly acknowledge if it solves your problem.
– Vishal Shukla
Mar 8 at 11:19
add a comment |
Does stackoverflow.com/questions/54863990/… solve your problem?
– Vishal Shukla
Mar 7 at 10:21
@Vishal Shukla: We already use ngram tokenizer, all three documents are found but the order is wrong.
– Julia
Mar 7 at 10:27
@VishalShukla: No, stackoverflow.com/questions/54863990/… doesn't solve my problem. The problem is the order of the documents that are found.
– Julia
Mar 7 at 10:41
Added solution. Kindly acknowledge if it solves your problem.
– Vishal Shukla
Mar 8 at 11:19
Does stackoverflow.com/questions/54863990/… solve your problem?
– Vishal Shukla
Mar 7 at 10:21
Does stackoverflow.com/questions/54863990/… solve your problem?
– Vishal Shukla
Mar 7 at 10:21
@Vishal Shukla: We already use ngram tokenizer, all three documents are found but the order is wrong.
– Julia
Mar 7 at 10:27
@Vishal Shukla: We already use ngram tokenizer, all three documents are found but the order is wrong.
– Julia
Mar 7 at 10:27
@VishalShukla: No, stackoverflow.com/questions/54863990/… doesn't solve my problem. The problem is the order of the documents that are found.
– Julia
Mar 7 at 10:41
@VishalShukla: No, stackoverflow.com/questions/54863990/… doesn't solve my problem. The problem is the order of the documents that are found.
– Julia
Mar 7 at 10:41
Added solution. Kindly acknowledge if it solves your problem.
– Vishal Shukla
Mar 8 at 11:19
Added solution. Kindly acknowledge if it solves your problem.
– Vishal Shukla
Mar 8 at 11:19
add a comment |
1 Answer
1
active
oldest
votes
You can use prefix query and wildcard query combined with negative score if that match term is found in the end. This uses the default analyser. Note that this is a performance killer.
POST /test_index/test/_search
"query":
"bool":
"should": [
"prefix":
"field1":
"value": "xxx",
"boost": 15
,
"wildcard":
"field1":
"value": "*xxx*",
"boost": 10
,
"wildcard":
"field1":
"value": "*xxx",
"boost": -5
]
Hope it helps!
answered Mar 7 at 10:42
Vishal ShuklaVishal Shukla
1,78011017
This will fulfil the requirement but using wildcard will have a performance hit. Specially the wildcard on both sides :*xxx*
– Nishant Saini
Mar 7 at 15:41
I fully agree, it is a performance killer as mentioned. For this requirement, I don't see better solution either.
– Vishal Shukla
Mar 8 at 11:17
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can use prefix query and wildcard query combined with negative score if that match term is found in the end. This uses the default analyser. Note that this is a performance killer.
POST /test_index/test/_search
"query":
"bool":
"should": [
"prefix":
"field1":
"value": "xxx",
"boost": 15
,
"wildcard":
"field1":
"value": "*xxx*",
"boost": 10
,
"wildcard":
"field1":
"value": "*xxx",
"boost": -5
]
Hope it helps!
answered Mar 7 at 10:42
Vishal ShuklaVishal Shukla
1,78011017
This will fulfil the requirement but using wildcard will have a performance hit. Specially the wildcard on both sides :*xxx*
– Nishant Saini
Mar 7 at 15:41
I fully agree, it is a performance killer as mentioned. For this requirement, I don't see better solution either.
– Vishal Shukla
Mar 8 at 11:17
add a comment |
You can use prefix query and wildcard query combined with negative score if that match term is found in the end. This uses the default analyser. Note that this is a performance killer.
POST /test_index/test/_search
"query":
"bool":
"should": [
"prefix":
"field1":
"value": "xxx",
"boost": 15
,
"wildcard":
"field1":
"value": "*xxx*",
"boost": 10
,
"wildcard":
"field1":
"value": "*xxx",
"boost": -5
]
Hope it helps!
answered Mar 7 at 10:42
Vishal ShuklaVishal Shukla
1,78011017
This will fulfil the requirement but using wildcard will have a performance hit. Specially the wildcard on both sides :*xxx*
– Nishant Saini
Mar 7 at 15:41
I fully agree, it is a performance killer as mentioned. For this requirement, I don't see better solution either.
– Vishal Shukla
Mar 8 at 11:17
add a comment |
You can use prefix query and wildcard query combined with negative score if that match term is found in the end. This uses the default analyser. Note that this is a performance killer.
POST /test_index/test/_search
"query":
"bool":
"should": [
"prefix":
"field1":
"value": "xxx",
"boost": 15
,
"wildcard":
"field1":
"value": "*xxx*",
"boost": 10
,
"wildcard":
"field1":
"value": "*xxx",
"boost": -5
]
Hope it helps!
answered Mar 7 at 10:42
Vishal ShuklaVishal Shukla
1,78011017
You can use prefix query and wildcard query combined with negative score if that match term is found in the end. This uses the default analyser. Note that this is a performance killer.
POST /test_index/test/_search
"query":
"bool":
"should": [
"prefix":
"field1":
"value": "xxx",
"boost": 15
,
"wildcard":
"field1":
"value": "*xxx*",
"boost": 10
,
"wildcard":
"field1":
"value": "*xxx",
"boost": -5
]
Hope it helps!
answered Mar 7 at 10:42
Vishal ShuklaVishal Shukla
1,78011017
answered Mar 7 at 10:42
Vishal ShuklaVishal Shukla
1,78011017
answered Mar 7 at 10:42
Vishal ShuklaVishal Shukla
1,78011017
answered Mar 7 at 10:42
Vishal ShuklaVishal Shukla
1,78011017
1,78011017
This will fulfil the requirement but using wildcard will have a performance hit. Specially the wildcard on both sides :*xxx*
– Nishant Saini
Mar 7 at 15:41
I fully agree, it is a performance killer as mentioned. For this requirement, I don't see better solution either.
– Vishal Shukla
Mar 8 at 11:17
add a comment |
This will fulfil the requirement but using wildcard will have a performance hit. Specially the wildcard on both sides :*xxx*
– Nishant Saini
Mar 7 at 15:41
I fully agree, it is a performance killer as mentioned. For this requirement, I don't see better solution either.
– Vishal Shukla
Mar 8 at 11:17
This will fulfil the requirement but using wildcard will have a performance hit. Specially the wildcard on both sides :
*xxx*– Nishant Saini
Mar 7 at 15:41
This will fulfil the requirement but using wildcard will have a performance hit. Specially the wildcard on both sides :
*xxx*– Nishant Saini
Mar 7 at 15:41
I fully agree, it is a performance killer as mentioned. For this requirement, I don't see better solution either.
– Vishal Shukla
Mar 8 at 11:17
I fully agree, it is a performance killer as mentioned. For this requirement, I don't see better solution either.
– Vishal Shukla
Mar 8 at 11:17
add a comment |
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Does stackoverflow.com/questions/54863990/… solve your problem?
– Vishal Shukla
Mar 7 at 10:21
@Vishal Shukla: We already use ngram tokenizer, all three documents are found but the order is wrong.
– Julia
Mar 7 at 10:27
@VishalShukla: No, stackoverflow.com/questions/54863990/… doesn't solve my problem. The problem is the order of the documents that are found.
– Julia
Mar 7 at 10:41
Added solution. Kindly acknowledge if it solves your problem.
– Vishal Shukla
Mar 8 at 11:19