81 lines
2.7 KiB
Plaintext
81 lines
2.7 KiB
Plaintext
[[java-aggs-metrics-tophits]]
|
|
==== Top Hits Aggregation
|
|
|
|
Here is how you can use
|
|
{ref}/search-aggregations-metrics-top-hits-aggregation.html[Top Hits Aggregation]
|
|
with Java API.
|
|
|
|
|
|
===== Prepare aggregation request
|
|
|
|
Here is an example on how to create the aggregation request:
|
|
|
|
[source,java]
|
|
--------------------------------------------------
|
|
AggregationBuilder aggregation =
|
|
AggregationBuilders
|
|
.terms("agg").field("gender")
|
|
.subAggregation(
|
|
AggregationBuilders.topHits("top")
|
|
);
|
|
--------------------------------------------------
|
|
|
|
You can use most of the options available for standard search such as `from`, `size`, `sort`, `highlight`, `explain`...
|
|
|
|
[source,java]
|
|
--------------------------------------------------
|
|
AggregationBuilder aggregation =
|
|
AggregationBuilders
|
|
.terms("agg").field("gender")
|
|
.subAggregation(
|
|
AggregationBuilders.topHits("top")
|
|
.setExplain(true)
|
|
.setSize(1)
|
|
.setFrom(10)
|
|
);
|
|
--------------------------------------------------
|
|
|
|
===== Use aggregation response
|
|
|
|
Import Aggregation definition classes:
|
|
|
|
[source,java]
|
|
--------------------------------------------------
|
|
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
|
|
import org.elasticsearch.search.aggregations.metrics.tophits.TopHits;
|
|
--------------------------------------------------
|
|
|
|
[source,java]
|
|
--------------------------------------------------
|
|
// sr is here your SearchResponse object
|
|
Terms agg = sr.getAggregations().get("agg");
|
|
|
|
// For each entry
|
|
for (Terms.Bucket entry : agg.getBuckets()) {
|
|
String key = entry.getKey(); // bucket key
|
|
long docCount = entry.getDocCount(); // Doc count
|
|
logger.info("key [{}], doc_count [{}]", key, docCount);
|
|
|
|
// We ask for top_hits for each bucket
|
|
TopHits topHits = entry.getAggregations().get("top");
|
|
for (SearchHit hit : topHits.getHits().getHits()) {
|
|
logger.info(" -> id [{}], _source [{}]", hit.getId(), hit.getSourceAsString());
|
|
}
|
|
}
|
|
--------------------------------------------------
|
|
|
|
This will basically produce for the first example:
|
|
|
|
[source,text]
|
|
--------------------------------------------------
|
|
key [male], doc_count [5107]
|
|
-> id [AUnzSZze9k7PKXtq04x2], _source [{"gender":"male",...}]
|
|
-> id [AUnzSZzj9k7PKXtq04x4], _source [{"gender":"male",...}]
|
|
-> id [AUnzSZzl9k7PKXtq04x5], _source [{"gender":"male",...}]
|
|
key [female], doc_count [4893]
|
|
-> id [AUnzSZzM9k7PKXtq04xy], _source [{"gender":"female",...}]
|
|
-> id [AUnzSZzp9k7PKXtq04x8], _source [{"gender":"female",...}]
|
|
-> id [AUnzSZ0W9k7PKXtq04yS], _source [{"gender":"female",...}]
|
|
--------------------------------------------------
|
|
|