Filtering Field with multiple values












0














How would I approach the following problem:
I want to filter on a field which contains multiple values(eg. ["value1", "value2", "value3"]).



The filter would also contain multiple values (eg. ["value1", "value2"].
I want to get back only the items which have the same field value as filter, eg. field is ["value1", "value2"] and the filter is also ["value1", "value2"]



Any help would be greatly appreciated










share|improve this question






















  • This answer might help (even though it is in groovy, which was before painless): stackoverflow.com/questions/31156108/…
    – Val
    Nov 20 '18 at 14:14
















0














How would I approach the following problem:
I want to filter on a field which contains multiple values(eg. ["value1", "value2", "value3"]).



The filter would also contain multiple values (eg. ["value1", "value2"].
I want to get back only the items which have the same field value as filter, eg. field is ["value1", "value2"] and the filter is also ["value1", "value2"]



Any help would be greatly appreciated










share|improve this question






















  • This answer might help (even though it is in groovy, which was before painless): stackoverflow.com/questions/31156108/…
    – Val
    Nov 20 '18 at 14:14














0












0








0







How would I approach the following problem:
I want to filter on a field which contains multiple values(eg. ["value1", "value2", "value3"]).



The filter would also contain multiple values (eg. ["value1", "value2"].
I want to get back only the items which have the same field value as filter, eg. field is ["value1", "value2"] and the filter is also ["value1", "value2"]



Any help would be greatly appreciated










share|improve this question













How would I approach the following problem:
I want to filter on a field which contains multiple values(eg. ["value1", "value2", "value3"]).



The filter would also contain multiple values (eg. ["value1", "value2"].
I want to get back only the items which have the same field value as filter, eg. field is ["value1", "value2"] and the filter is also ["value1", "value2"]



Any help would be greatly appreciated







elasticsearch






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 20 '18 at 14:06









TotalTardTotalTard

253




253












  • This answer might help (even though it is in groovy, which was before painless): stackoverflow.com/questions/31156108/…
    – Val
    Nov 20 '18 at 14:14


















  • This answer might help (even though it is in groovy, which was before painless): stackoverflow.com/questions/31156108/…
    – Val
    Nov 20 '18 at 14:14
















This answer might help (even though it is in groovy, which was before painless): stackoverflow.com/questions/31156108/…
– Val
Nov 20 '18 at 14:14




This answer might help (even though it is in groovy, which was before painless): stackoverflow.com/questions/31156108/…
– Val
Nov 20 '18 at 14:14












1 Answer
1






active

oldest

votes


















1














I think the somewhat-recently added (v6.1) terms_set query (which Val references on the question he linked in his comment) is what you want.



terms_set, unlike a regular terms, has a parameter to specify a minimum number of matches that must exist between the search terms and the terms contained in the field.



Given:



PUT my_index/_doc/1
{
"values": ["living", "in a van", "down by the river"],
}
PUT my_index/_doc/2
{
"values": ["living", "in a house", "down by the river"],
}


A terms query for ["living", "in a van", "down by the river"] will return you both docs: no good. A terms_set configured to require all three matching terms (the script params.num_terms evaluates to 3) can give you just the matching one:



GET my_index/_search
{
"query": {
"terms_set": {
"values": {
"terms": ["living", "in a van", "down by the river"],
"minimum_should_match_script": {
"source": "params.num_terms"
}
}
}
}
}


NOTE: While I used minimum_should_match_script in the above example, it isn't a very efficient pattern. The alternative minimum_should_match_field is the better approach, but using it in the example would have meant a couple of more PUTs to add the necessary field to the documents, so I went with brevity.






share|improve this answer





















  • This helped a lot, only problem is we are currently below version 6.1 so the implementation will have to wait until we upgrade. Thank you.
    – TotalTard
    Nov 22 '18 at 12:22











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









1














I think the somewhat-recently added (v6.1) terms_set query (which Val references on the question he linked in his comment) is what you want.



terms_set, unlike a regular terms, has a parameter to specify a minimum number of matches that must exist between the search terms and the terms contained in the field.



Given:



PUT my_index/_doc/1
{
"values": ["living", "in a van", "down by the river"],
}
PUT my_index/_doc/2
{
"values": ["living", "in a house", "down by the river"],
}


A terms query for ["living", "in a van", "down by the river"] will return you both docs: no good. A terms_set configured to require all three matching terms (the script params.num_terms evaluates to 3) can give you just the matching one:



GET my_index/_search
{
"query": {
"terms_set": {
"values": {
"terms": ["living", "in a van", "down by the river"],
"minimum_should_match_script": {
"source": "params.num_terms"
}
}
}
}
}


NOTE: While I used minimum_should_match_script in the above example, it isn't a very efficient pattern. The alternative minimum_should_match_field is the better approach, but using it in the example would have meant a couple of more PUTs to add the necessary field to the documents, so I went with brevity.






share|improve this answer





















  • This helped a lot, only problem is we are currently below version 6.1 so the implementation will have to wait until we upgrade. Thank you.
    – TotalTard
    Nov 22 '18 at 12:22
















1














I think the somewhat-recently added (v6.1) terms_set query (which Val references on the question he linked in his comment) is what you want.



terms_set, unlike a regular terms, has a parameter to specify a minimum number of matches that must exist between the search terms and the terms contained in the field.



Given:



PUT my_index/_doc/1
{
"values": ["living", "in a van", "down by the river"],
}
PUT my_index/_doc/2
{
"values": ["living", "in a house", "down by the river"],
}


A terms query for ["living", "in a van", "down by the river"] will return you both docs: no good. A terms_set configured to require all three matching terms (the script params.num_terms evaluates to 3) can give you just the matching one:



GET my_index/_search
{
"query": {
"terms_set": {
"values": {
"terms": ["living", "in a van", "down by the river"],
"minimum_should_match_script": {
"source": "params.num_terms"
}
}
}
}
}


NOTE: While I used minimum_should_match_script in the above example, it isn't a very efficient pattern. The alternative minimum_should_match_field is the better approach, but using it in the example would have meant a couple of more PUTs to add the necessary field to the documents, so I went with brevity.






share|improve this answer





















  • This helped a lot, only problem is we are currently below version 6.1 so the implementation will have to wait until we upgrade. Thank you.
    – TotalTard
    Nov 22 '18 at 12:22














1












1








1






I think the somewhat-recently added (v6.1) terms_set query (which Val references on the question he linked in his comment) is what you want.



terms_set, unlike a regular terms, has a parameter to specify a minimum number of matches that must exist between the search terms and the terms contained in the field.



Given:



PUT my_index/_doc/1
{
"values": ["living", "in a van", "down by the river"],
}
PUT my_index/_doc/2
{
"values": ["living", "in a house", "down by the river"],
}


A terms query for ["living", "in a van", "down by the river"] will return you both docs: no good. A terms_set configured to require all three matching terms (the script params.num_terms evaluates to 3) can give you just the matching one:



GET my_index/_search
{
"query": {
"terms_set": {
"values": {
"terms": ["living", "in a van", "down by the river"],
"minimum_should_match_script": {
"source": "params.num_terms"
}
}
}
}
}


NOTE: While I used minimum_should_match_script in the above example, it isn't a very efficient pattern. The alternative minimum_should_match_field is the better approach, but using it in the example would have meant a couple of more PUTs to add the necessary field to the documents, so I went with brevity.






share|improve this answer












I think the somewhat-recently added (v6.1) terms_set query (which Val references on the question he linked in his comment) is what you want.



terms_set, unlike a regular terms, has a parameter to specify a minimum number of matches that must exist between the search terms and the terms contained in the field.



Given:



PUT my_index/_doc/1
{
"values": ["living", "in a van", "down by the river"],
}
PUT my_index/_doc/2
{
"values": ["living", "in a house", "down by the river"],
}


A terms query for ["living", "in a van", "down by the river"] will return you both docs: no good. A terms_set configured to require all three matching terms (the script params.num_terms evaluates to 3) can give you just the matching one:



GET my_index/_search
{
"query": {
"terms_set": {
"values": {
"terms": ["living", "in a van", "down by the river"],
"minimum_should_match_script": {
"source": "params.num_terms"
}
}
}
}
}


NOTE: While I used minimum_should_match_script in the above example, it isn't a very efficient pattern. The alternative minimum_should_match_field is the better approach, but using it in the example would have meant a couple of more PUTs to add the necessary field to the documents, so I went with brevity.







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 21 '18 at 14:10









mike bmike b

1563




1563












  • This helped a lot, only problem is we are currently below version 6.1 so the implementation will have to wait until we upgrade. Thank you.
    – TotalTard
    Nov 22 '18 at 12:22


















  • This helped a lot, only problem is we are currently below version 6.1 so the implementation will have to wait until we upgrade. Thank you.
    – TotalTard
    Nov 22 '18 at 12:22
















This helped a lot, only problem is we are currently below version 6.1 so the implementation will have to wait until we upgrade. Thank you.
– TotalTard
Nov 22 '18 at 12:22




This helped a lot, only problem is we are currently below version 6.1 so the implementation will have to wait until we upgrade. Thank you.
– TotalTard
Nov 22 '18 at 12:22


















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