I have document having fields containing large array.
I would like to score according to the value of a nth element of such
array, but got very slow answer (5s) for only 10K document indexed.
my mapping:
document {
id: value,
field2: string,
field3: [ int_1,int_2, ... , int_10k] <- large array of 10K integers
}
assume I generated and indexed 10K documents with 1K random integer values
in the field 'field3'
I then use the following search query
GET /test/document/_search
{
"query":{
"function_score":{
"script_score" : {
"script" : " _source.fields3[12] * _source.fields3[11] "
}
=> got 5000 ms
however with basic Java object with a simple nested loop:
- for all the documents
score[i] = doc[i].fields[12] * doc[i].fields[11]
- sort by score
=> got < 50 ms
ES is 100 slower than a simple loop..
How to get similar performance with ES?
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