Metrics aggregationsedit
Min Aggregationedit
Here is how you can use Min Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
MinAggregationBuilder aggregation =
AggregationBuilders
.min("agg")
.field("height");Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.metrics.min.Min;
// sr is here your SearchResponse object
Min agg = sr.getAggregations().get("agg");
double value = agg.getValue();Max Aggregationedit
Here is how you can use Max Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
MaxAggregationBuilder aggregation =
AggregationBuilders
.max("agg")
.field("height");Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.metrics.max.Max;
// sr is here your SearchResponse object
Max agg = sr.getAggregations().get("agg");
double value = agg.getValue();Sum Aggregationedit
Here is how you can use Sum Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
SumAggregationBuilder aggregation =
AggregationBuilders
.sum("agg")
.field("height");Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.metrics.sum.Sum;
// sr is here your SearchResponse object
Sum agg = sr.getAggregations().get("agg");
double value = agg.getValue();Avg Aggregationedit
Here is how you can use Avg Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
AvgAggregationBuilder aggregation =
AggregationBuilders
.avg("agg")
.field("height");Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.metrics.avg.Avg;
// sr is here your SearchResponse object
Avg agg = sr.getAggregations().get("agg");
double value = agg.getValue();Stats Aggregationedit
Here is how you can use Stats Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
StatsAggregationBuilder aggregation =
AggregationBuilders
.stats("agg")
.field("height");Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.metrics.stats.Stats;
// sr is here your SearchResponse object
Stats agg = sr.getAggregations().get("agg");
double min = agg.getMin();
double max = agg.getMax();
double avg = agg.getAvg();
double sum = agg.getSum();
long count = agg.getCount();Extended Stats Aggregationedit
Here is how you can use Extended Stats Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
ExtendedStatsAggregationBuilder aggregation =
AggregationBuilders
.extendedStats("agg")
.field("height");Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.metrics.stats.extended.ExtendedStats;
// sr is here your SearchResponse object
ExtendedStats agg = sr.getAggregations().get("agg");
double min = agg.getMin();
double max = agg.getMax();
double avg = agg.getAvg();
double sum = agg.getSum();
long count = agg.getCount();
double stdDeviation = agg.getStdDeviation();
double sumOfSquares = agg.getSumOfSquares();
double variance = agg.getVariance();Value Count Aggregationedit
Here is how you can use Value Count Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
ValueCountAggregationBuilder aggregation =
AggregationBuilders
.count("agg")
.field("height");Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.metrics.valuecount.ValueCount;
// sr is here your SearchResponse object
ValueCount agg = sr.getAggregations().get("agg");
long value = agg.getValue();Percentile Aggregationedit
Here is how you can use Percentile Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
PercentilesAggregationBuilder aggregation =
AggregationBuilders
.percentiles("agg")
.field("height");You can provide your own percentiles instead of using defaults:
PercentilesAggregationBuilder aggregation =
AggregationBuilders
.percentiles("agg")
.field("height")
.percentiles(1.0, 5.0, 10.0, 20.0, 30.0, 75.0, 95.0, 99.0);Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.metrics.percentiles.Percentile; import org.elasticsearch.search.aggregations.metrics.percentiles.Percentiles;
// sr is here your SearchResponse object
Percentiles agg = sr.getAggregations().get("agg");
// For each entry
for (Percentile entry : agg) {
double percent = entry.getPercent(); // Percent
double value = entry.getValue(); // Value
logger.info("percent [{}], value [{}]", percent, value);
}This will basically produce for the first example:
percent [1.0], value [0.814338896154595] percent [5.0], value [0.8761912455821302] percent [25.0], value [1.173346540141847] percent [50.0], value [1.5432023318692198] percent [75.0], value [1.923915462033674] percent [95.0], value [2.2273644908535335] percent [99.0], value [2.284989339108279]
Percentile Ranks Aggregationedit
Here is how you can use Percentile Ranks Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
PercentileRanksAggregationBuilder aggregation =
AggregationBuilders
.percentileRanks("agg")
.field("height")
.values(1.24, 1.91, 2.22);Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.metrics.percentiles.Percentile; import org.elasticsearch.search.aggregations.metrics.percentiles.PercentileRanks;
// sr is here your SearchResponse object
PercentileRanks agg = sr.getAggregations().get("agg");
// For each entry
for (Percentile entry : agg) {
double percent = entry.getPercent(); // Percent
double value = entry.getValue(); // Value
logger.info("percent [{}], value [{}]", percent, value);
}This will basically produce:
percent [29.664353095090945], value [1.24] percent [73.9335313461868], value [1.91] percent [94.40095147327283], value [2.22]
Cardinality Aggregationedit
Here is how you can use Cardinality Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
CardinalityAggregationBuilder aggregation =
AggregationBuilders
.cardinality("agg")
.field("tags");Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.metrics.cardinality.Cardinality;
// sr is here your SearchResponse object
Cardinality agg = sr.getAggregations().get("agg");
long value = agg.getValue();Geo Bounds Aggregationedit
Here is how you can use Geo Bounds Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
GeoBoundsBuilder aggregation =
GeoBoundsAggregationBuilder
.geoBounds("agg")
.field("address.location")
.wrapLongitude(true);Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.metrics.geobounds.GeoBounds;
// sr is here your SearchResponse object
GeoBounds agg = sr.getAggregations().get("agg");
GeoPoint bottomRight = agg.bottomRight();
GeoPoint topLeft = agg.topLeft();
logger.info("bottomRight {}, topLeft {}", bottomRight, topLeft);This will basically produce:
bottomRight [40.70500764381921, 13.952946866893775], topLeft [53.49603022435221, -4.190029308156676]
Top Hits Aggregationedit
Here is how you can use Top Hits Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
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…
AggregationBuilder aggregation =
AggregationBuilders
.terms("agg").field("gender")
.subAggregation(
AggregationBuilders.topHits("top")
.explain(true)
.size(1)
.from(10)
);Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.bucket.terms.Terms; import org.elasticsearch.search.aggregations.metrics.tophits.TopHits;
// 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:
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",...}]Scripted Metric Aggregationedit
Here is how you can use Scripted Metric Aggregation with Java API.
Prepare aggregation requestedit
Here is an example on how to create the aggregation request:
ScriptedMetricAggregationBuilder aggregation = AggregationBuilders
.scriptedMetric("agg")
.initScript(new Script("params._agg.heights = []"))
.mapScript(new Script("params._agg.heights.add(doc.gender.value == 'male' ? doc.height.value : -1.0 * doc.height.value)"));You can also specify a combine script which will be executed on each shard:
ScriptedMetricAggregationBuilder aggregation = AggregationBuilders
.scriptedMetric("agg")
.initScript(new Script("params._agg.heights = []"))
.mapScript(new Script("params._agg.heights.add(doc.gender.value == 'male' ? doc.height.value : -1.0 * doc.height.value)"))
.combineScript(new Script("double heights_sum = 0.0; for (t in params._agg.heights) { heights_sum += t } return heights_sum"));You can also specify a reduce script which will be executed on the node which gets the request:
ScriptedMetricAggregationBuilder aggregation = AggregationBuilders
.scriptedMetric("agg")
.initScript(new Script("params._agg.heights = []"))
.mapScript(new Script("params._agg.heights.add(doc.gender.value == 'male' ? doc.height.value : -1.0 * doc.height.value)"))
.combineScript(new Script("double heights_sum = 0.0; for (t in params._agg.heights) { heights_sum += t } return heights_sum"))
.reduceScript(new Script("double heights_sum = 0.0; for (a in params._aggs) { heights_sum += a } return heights_sum"));Use aggregation responseedit
Import Aggregation definition classes:
import org.elasticsearch.search.aggregations.bucket.terms.Terms; import org.elasticsearch.search.aggregations.metrics.tophits.TopHits;
// sr is here your SearchResponse object
ScriptedMetric agg = sr.getAggregations().get("agg");
Object scriptedResult = agg.aggregation();
logger.info("scriptedResult [{}]", scriptedResult);Note that the result depends on the script you built. For the first example, this will basically produce:
scriptedResult object [ArrayList]
scriptedResult [ {
"heights" : [ 1.122218480146643, -1.8148918111233887, -1.7626731575142909, ... ]
}, {
"heights" : [ -0.8046067304119863, -2.0785486707864553, -1.9183567430207953, ... ]
}, {
"heights" : [ 2.092635728868694, 1.5697545960886536, 1.8826954461968808, ... ]
}, {
"heights" : [ -2.1863201099468403, 1.6328549117346856, -1.7078288405893842, ... ]
}, {
"heights" : [ 1.6043904836424177, -2.0736538674414025, 0.9898266674373053, ... ]
} ]The second example will produce:
scriptedResult object [ArrayList]
scriptedResult [-41.279615707402876,
-60.88007362339038,
38.823270659734256,
14.840192739445632,
11.300902755741326]The last example will produce:
scriptedResult object [Double] scriptedResult [2.171917696507009]