Performance of aggregations on numeric types vs keyword types in elasticsearch
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Currently for finding out the unique values of a field in ES, we are running nested terms aggregation on the field, say "x". The field is of type "text" and "keyword".
But this operation is taking long amount of time.
One way we are thinking of is to add a corresponding ID field of type long, for "x" and then perform aggregate on this field.
This again would be a nested aggregation.
Question is, is aggregation on numeric types any better than non-analysed (keyword) field?
I have looked at question here
It points to ES document which says even numerics should be stored as keywords for better term queries.
elasticsearch aggregation elasticsearch-aggregation asked Nov 20 at 11:09
User3518958
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Currently for finding out the unique values of a field in ES, we are running nested terms aggregation on the field, say "x". The field is of type "text" and "keyword".
But this operation is taking long amount of time.
One way we are thinking of is to add a corresponding ID field of type long, for "x" and then perform aggregate on this field.
This again would be a nested aggregation.
Question is, is aggregation on numeric types any better than non-analysed (keyword) field?
I have looked at question here
It points to ES document which says even numerics should be stored as keywords for better term queries.
elasticsearch aggregation elasticsearch-aggregation asked Nov 20 at 11:09
User3518958
130111
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Currently for finding out the unique values of a field in ES, we are running nested terms aggregation on the field, say "x". The field is of type "text" and "keyword".
But this operation is taking long amount of time.
One way we are thinking of is to add a corresponding ID field of type long, for "x" and then perform aggregate on this field.
This again would be a nested aggregation.
Question is, is aggregation on numeric types any better than non-analysed (keyword) field?
I have looked at question here
It points to ES document which says even numerics should be stored as keywords for better term queries.
elasticsearch aggregation elasticsearch-aggregation asked Nov 20 at 11:09
User3518958
130111
Currently for finding out the unique values of a field in ES, we are running nested terms aggregation on the field, say "x". The field is of type "text" and "keyword".
But this operation is taking long amount of time.
One way we are thinking of is to add a corresponding ID field of type long, for "x" and then perform aggregate on this field.
This again would be a nested aggregation.
Question is, is aggregation on numeric types any better than non-analysed (keyword) field?
I have looked at question here
It points to ES document which says even numerics should be stored as keywords for better term queries.
elasticsearch aggregation elasticsearch-aggregation elasticsearch aggregation elasticsearch-aggregation asked Nov 20 at 11:09
User3518958
130111
asked Nov 20 at 11:09
User3518958
130111
edited Nov 20 at 16:54
asked Nov 20 at 11:09
User3518958
130111
asked Nov 20 at 11:09
User3518958
130111
asked Nov 20 at 11:09
User3518958
130111
130111
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add a comment |
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