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Elastic Docs ›Java Transport Client (deprecated) [7.16] ›Aggregations

Metrics aggregations

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Metrics aggregations

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Min Aggregation

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Here is how you can use Min Aggregation with Java API.

Prepare aggregation request

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Here is an example on how to create the aggregation request:

MinAggregationBuilder aggregation =
        AggregationBuilders
                .min("agg")
                .field("height");

Use aggregation response

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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 Aggregation

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Here is how you can use Max Aggregation with Java API.

Prepare aggregation request

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Here is an example on how to create the aggregation request:

MaxAggregationBuilder aggregation =
        AggregationBuilders
                .max("agg")
                .field("height");

Use aggregation response

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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 Aggregation

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Here is how you can use Sum Aggregation with Java API.

Prepare aggregation request

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Here is an example on how to create the aggregation request:

SumAggregationBuilder aggregation =
        AggregationBuilders
                .sum("agg")
                .field("height");

Use aggregation response

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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 Aggregation

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Here is how you can use Avg Aggregation with Java API.

Prepare aggregation request

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Here is an example on how to create the aggregation request:

AvgAggregationBuilder aggregation =
        AggregationBuilders
                .avg("agg")
                .field("height");

Use aggregation response

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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 Aggregation

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Here is how you can use Stats Aggregation with Java API.

Prepare aggregation request

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Here is an example on how to create the aggregation request:

StatsAggregationBuilder aggregation =
        AggregationBuilders
                .stats("agg")
                .field("height");

Use aggregation response

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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 Aggregation

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Here is how you can use Extended Stats Aggregation with Java API.

Prepare aggregation request

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Here is an example on how to create the aggregation request:

ExtendedStatsAggregationBuilder aggregation =
        AggregationBuilders
                .extendedStats("agg")
                .field("height");

Use aggregation response

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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 Aggregation

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Here is how you can use Value Count Aggregation with Java API.

Prepare aggregation request

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Here is an example on how to create the aggregation request:

ValueCountAggregationBuilder aggregation =
        AggregationBuilders
                .count("agg")
                .field("height");

Use aggregation response

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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 Aggregation

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Here is how you can use Percentile Aggregation with Java API.

Prepare aggregation request

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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 response

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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 Aggregation

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Here is how you can use Percentile Ranks Aggregation with Java API.

Prepare aggregation request

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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 response

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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 Aggregation

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Here is how you can use Cardinality Aggregation with Java API.

Prepare aggregation request

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Here is an example on how to create the aggregation request:

CardinalityAggregationBuilder aggregation =
        AggregationBuilders
                .cardinality("agg")
                .field("tags");

Use aggregation response

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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 Aggregation

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Here is how you can use Geo Bounds Aggregation with Java API.

Prepare aggregation request

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Here is an example on how to create the aggregation request:

GeoBoundsAggregationBuilder aggregation =
        GeoBoundsAggregationBuilder
                .geoBounds("agg")
                .field("address.location")
                .wrapLongitude(true);

Use aggregation response

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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 Aggregation

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Here is how you can use Top Hits Aggregation with Java API.

Prepare aggregation request

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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 response

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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 Aggregation

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Here is how you can use Scripted Metric Aggregation with Java API.

Prepare aggregation request

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Here is an example on how to create the aggregation request:

ScriptedMetricAggregationBuilder aggregation = AggregationBuilders
    .scriptedMetric("agg")
    .initScript(new Script("state.heights = []"))
    .mapScript(new Script("state.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("state.heights = []"))
    .mapScript(new Script("state.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 state.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("state.heights = []"))
    .mapScript(new Script("state.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 state.heights) { heights_sum += t } return heights_sum"))
    .reduceScript(new Script("double heights_sum = 0.0; for (a in states) { heights_sum += a } return heights_sum"));

Use aggregation response

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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]
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