Low-cardinality fields have high data clustering performance when being sorted, which facilitates vectorized optimization. Assume that the following query statement exists:
POST testindex/_search
{
"size": 0,
"aggs": {
"groupby_region": {
"terms": {
"field": "region"
},
"aggs": {
"groupby_host": {
"terms": {
"field": "host"
},
"aggs": {
"avg_cpu_usage": {
"avg": {
"field": "cpu_usage"
}
}
}
}
}
}
}
}
Assume that the region and host are low-cardinality fields. To use the enhanced aggregation, set the parameters as follows:
The clustering key must be a prefix subset of the sorting key.
// Configure an index
"settings" : {
"index" : {
"search" : {
"turbo" : {
"enabled" : "true" // Enable optimization
}
},
"sort" : { // Specify a sorting key
"field" : [
"region",
"host",
"other"
]
},
"cluster" : {
"field" : [ // Specify a clustering key
"region",
"host"
]
}
}
}