Elasticsearch 5.x Java api Aggregations(聚合)

  Ealsticsearch 5.x Java API聚合string类型的时候，会报错（json的错），则需要在聚合的string类型字段的后面添加.keyword , 虽然使用watch查看聚合的es json的时候会出现以下报错，但是不会影响结果。

{ "error" : "JsonGenerationException[Can not write a field name, expecting a value]"}

 

1、Metrics Aggregations(度量聚合)

1)、MinAggregation(最小值聚合)

1、Prepare aggregation request

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

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.metrics.min.Min; // sr is here your SearchResponse object Min agg = sr.getAggregations().get("agg"); double value = agg.getValue();

 

2)、MaxAggregation(最大值聚合)

1、Prepare aggregation request

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

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.metrics.max.Max; // sr is here your SearchResponse object Max agg = sr.getAggregations().get("agg"); double value = agg.getValue();

 

 

3)、SumAggregation(求和聚合)

1、Prepare aggregation request

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

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.metrics.sum.Sum; // sr is here your SearchResponse object Sum agg = sr.getAggregations().get("agg"); double value = agg.getValue();

 

 

4) 、AvgAggregation(平均数聚合)

1、Prepare aggregation request

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

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.metrics.avg.Avg; // sr is here your SearchResponse object Avg agg = sr.getAggregations().get("agg"); double value = agg.getValue();

 

 

5)、StatsAggregation(统计聚合)

统计聚合即一次性获取最小值、最小值、平均值、求和、统计聚合的集合。

1、Prepare aggregation request

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

 

2、Use aggregation response

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();

 

6) 、Extended Stats Aggregation(扩展统计聚合)

1、Prepare aggregation request

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

 

2、Use aggregation response

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();

 

 

7) 、Values CountAggregation(值计数聚合)

1、Prepare aggregation request

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

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.metrics.valuecount.ValueCount; // sr is here your SearchResponse object ValueCount agg = sr.getAggregations().get("agg"); long value = agg.getValue();

 

 

8) 、Percentile Aggregation(百分位聚合)

1、Prepare aggregation request

PercentilesAggregationBuilder aggregation =         AggregationBuilders                 .percentiles("agg")                 .field("height");

 

自定义百分比：

PercentilesAggregationBuilder aggregation =         AggregationBuilders                 .percentiles("agg")                 .field("height")                 .percentiles(1.0, 5.0, 10.0, 20.0, 30.0, 75.0, 95.0, 99.0);

 

 

2、Use aggregation response

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); }

 

3、Result

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]

 

9)、Percentile Ranks Aggregation(百分等级聚合)

1、Prepare aggregation request

PercentileRanksAggregationBuilder aggregation =         AggregationBuilders                 .percentileRanks("agg")                 .field("height")                 .values(1.24, 1.91, 2.22);

 

2、Use aggregation response

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); }

 

3、Result

percent [29.664353095090945], value [1.24] percent [73.9335313461868], value [1.91] percent [94.40095147327283], value [2.22]

 

 

10)、Cardinality Aggregation(基数聚合)

1、Prepare aggregation request

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

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.metrics.cardinality.Cardinality; // sr is here your SearchResponse object Cardinality agg = sr.getAggregations().get("agg"); long value = agg.getValue();

 

 

11)、Geo Bounds Aggregation(地理限制聚合)

1、Prepare aggregation request

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

 

2、Use aggregation response

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);

 

3、Result

bottomRight [40.70500764381921, 13.952946866893775], topLeft [53.49603022435221, -4.190029308156676]

 

12)、Top Hits Aggregation(top n聚合)

1）、Prepare aggregation request

1、只查询分组的top 1：

AggregationBuilder aggregation = AggregationBuilders         .terms("agg").field("gender")         .subAggregation(             AggregationBuilders.topHits("top")         );

 

2、查询分组的top n：

AggregationBuilder aggregation = AggregationBuilders         .terms("agg").field("gender")         .subAggregation(             AggregationBuilders.topHits("top")                 .explain(true)                 .size(1)                 .from(10)         );

 

2）、Use aggregation response

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());     } }

 

3）、查询结果：

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",...}]

 

13)、Scripted Metric Aggregation(脚本度量聚合)

1、maven依赖

org.codehaus.groovy     groovy-all     2.3.2     indy

 

1、Prepare 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"));

 

2、Use aggregation response

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);

 

3、Result

result1:

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, ... ] } ]

 

Result2:

scriptedResult object [ArrayList] scriptedResult [-41.279615707402876,                 -60.88007362339038,                 38.823270659734256,                 14.840192739445632,                 11.300902755741326]

 

Result3:

scriptedResult object [Double] scriptedResult [2.171917696507009]

 

2、Bucket Aggregations(桶聚合)

1) 、Global Aggregation(整体聚合)

1、Prepare aggregation request

AggregationBuilders     .global("agg")     .subAggregation(AggregationBuilders.terms("genders").field("gender"));

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.global.Global; // sr is here your SearchResponse object Global agg = sr.getAggregations().get("agg"); agg.getDocCount(); // Doc count

 

 

2)、FilterAggregation(过滤聚合)

1、Prepare aggregation request

AggregationBuilders     .filter("agg", QueryBuilders.termQuery("gender", "male"));

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.filter.Filter; // sr is here your SearchResponse object Filter agg = sr.getAggregations().get("agg"); agg.getDocCount(); // Doc count

 

 

3)、FilterAggregation(多过滤聚合)

 

1、Prepare aggregation request

AggregationBuilder aggregation =     AggregationBuilders         .filters("agg",             new FiltersAggregator.KeyedFilter("men", QueryBuilders.termQuery("gender", "male")),             new FiltersAggregator.KeyedFilter("women", QueryBuilders.termQuery("gender", "female")));

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.filters.Filters; // sr is here your SearchResponse object Filters agg = sr.getAggregations().get("agg");   // For each entry for (Filters.Bucket entry : agg.getBuckets()) {     String key = entry.getKeyAsString();            // bucket key     long docCount = entry.getDocCount();            // Doc count     logger.info("key [{}], doc_count [{}]", key, docCount); }

 

4) 、Missing Aggregation(失踪聚合)

1、Prepare aggregation request

AggregationBuilders.missing("agg").field("gender");

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.missing.Missing; // sr is here your SearchResponse object Missing agg = sr.getAggregations().get("agg"); agg.getDocCount(); // Doc count

 

 

5)、Nested Aggregation(嵌套聚合)

1、Prepare aggregation request

AggregationBuilders     .nested("agg", "resellers");

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.nested.Nested; // sr is here your SearchResponse object Nested agg = sr.getAggregations().get("agg"); agg.getDocCount(); // Doc count

 

 

6)、Reverse Nested Aggregation(反向嵌套聚合)

1、Prepare aggregation request

AggregationBuilder aggregation =     AggregationBuilders         .nested("agg", "resellers")         .subAggregation(                 AggregationBuilders                         .terms("name").field("resellers.name")                         .subAggregation(                                 AggregationBuilders                                         .reverseNested("reseller_to_product")                         )         );

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.nested.Nested; import org.elasticsearch.search.aggregations.bucket.nested.ReverseNested; import org.elasticsearch.search.aggregations.bucket.terms.Terms; // sr is here your SearchResponse object Nested agg = sr.getAggregations().get("agg"); Terms name = agg.getAggregations().get("name"); for (Terms.Bucket bucket : name.getBuckets()) {     ReverseNested resellerToProduct = bucket.getAggregations().get("reseller_to_product");     resellerToProduct.getDocCount(); // Doc count }

 

 

6)、Children Aggregation(子聚合)

1、Prepare aggregation request

// "agg" is the name of the aggregation and "reseller" is the child // type AggregationBuilder aggregation =     AggregationBuilders         .children("agg", "reseller");

 

2、Use aggregation response

import org.elasticsearch.join.aggregations.Children; // sr is here your SearchResponse object Children agg = sr.getAggregations().get("agg"); agg.getDocCount(); // Doc count

 

 

 

7)、Terms Aggregation(条件聚合)

1、Prepare aggregation request

AggregationBuilders     .terms("genders")     .field("gender");

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.terms.Terms; // sr is here your SearchResponse object Terms genders = sr.getAggregations().get("genders"); // For each entry for (Terms.Bucket entry : genders.getBuckets()) {     entry.getKey();      // Term     entry.getDocCount(); // Doc count }

 

Order(true升序，false降序)

1、按照分组字段的数量排序

AggregationBuilders     .terms("genders")     .field("gender")     .order(Terms.Order.count(true))

 

2、按照分组字段的照字母顺序排序

AggregationBuilders     .terms("genders")     .field("gender")     .order(Terms.Order.term(true))

 

3、按照聚合名称标识进行排序

AggregationBuilders     .terms("genders")     .field("gender")     .order(Terms.Order.aggregation("avg_height", false))     .subAggregation(         AggregationBuilders.avg("avg_height").field("height")     )

 

8)、Significant Terms Aggregation(子条件聚合)

1、Prepare aggregation request

AggregationBuilder aggregation =         AggregationBuilders                 .significantTerms("significant_countries")                 .field("address.country");   // Let say you search for men only SearchResponse sr = client.prepareSearch()         .setQuery(QueryBuilders.termQuery("gender", "male"))         .addAggregation(aggregation)         .get();

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.significant.SignificantTerms; // sr is here your SearchResponse object SignificantTerms agg = sr.getAggregations().get("significant_countries");   // For each entry for (SignificantTerms.Bucket entry : agg.getBuckets()) {     entry.getKey();      // Term     entry.getDocCount(); // Doc count }

 

 

 

9)、Range Aggregation(范围聚合)

1、Prepare aggregation request

AggregationBuilder aggregation =         AggregationBuilders                 .range("agg")                 .field("height")                 .addUnboundedTo(1.0f)                // from -infinity to 1.0 (excluded)                 .addRange(1.0f, 1.5f)                // from 1.0 to 1.5 (excluded)                 .addUnboundedFrom(1.5f);             // from 1.5 to +infinity

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.range.Range; // sr is here your SearchResponse object Range agg = sr.getAggregations().get("agg");   // For each entry for (Range.Bucket entry : agg.getBuckets()) {     String key = entry.getKeyAsString();             // Range as key     Number from = (Number) entry.getFrom();          // Bucket from     Number to = (Number) entry.getTo();              // Bucket to     long docCount = entry.getDocCount();    // Doc count       logger.info("key [{}], from [{}], to [{}], doc_count [{}]", key, from, to, docCount); }

 

3、result

key [*-1.0], from [-Infinity], to [1.0], doc_count [9] key [1.0-1.5], from [1.0], to [1.5], doc_count [21] key [1.5-*], from [1.5], to [Infinity], doc_count [20]

 

10)、Date Range Aggregation(日期范围聚合)

1、Prepare aggregation request

AggregationBuilder aggregation =         AggregationBuilders                 .dateRange("agg")                 .field("dateOfBirth")                 .format("yyyy")                 .addUnboundedTo("1950")     // from -infinity to 1950 (excluded)                 .addRange("1950", "1960")   // from 1950 to 1960 (excluded)                 .addUnboundedFrom("1960"); // from 1960 to +infinity

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.range.Range; // sr is here your SearchResponse object Range agg = sr.getAggregations().get("agg");   // For each entry for (Range.Bucket entry : agg.getBuckets()) { // Date range as key String key = entry.getKeyAsString();                 // Date bucket from as a Date DateTime fromAsDate = (DateTime) entry.getFrom();    // Date bucket to as a Date DateTime toAsDate = (DateTime) entry.getTo();        // Doc count long docCount = entry.getDocCount();                     logger.info("key [{}], from [{}], to [{}], doc_count [{}]", key, fromAsDate, toAsDate, docCount); }

 

3、result

key [*-1950], from [null], to [1950-01-01T00:00:00.000Z], doc_count [8] key [1950-1960], from [1950-01-01T00:00:00.000Z], to [1960-01-01T00:00:00.000Z], doc_count [5] key [1960-*], from [1960-01-01T00:00:00.000Z], to [null], doc_count [37]

 

11)、IP Range Aggregation(IP范围聚合)

1、Prepare aggregation request

AggregatorBuilder aggregation =         AggregationBuilders                 .ipRange("agg")                 .field("ip") // from -infinity to 192.168.1.0 (excluded)                 .addUnboundedTo("192.168.1.0") // from 192.168.1.0 to 192.168.2.0(excluded)                             .addRange("192.168.1.0", "192.168.2.0")     // from 192.168.2.0 to +infinity                 .addUnboundedFrom("192.168.2.0");

 

AggregatorBuilder aggregation =         AggregationBuilders                 .ipRange("agg")                 .field("ip")                 .addMaskRange("192.168.0.0/32")                 .addMaskRange("192.168.0.0/24")                 .addMaskRange("192.168.0.0/16");

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.range.Range; // sr is here your SearchResponse object Range agg = sr.getAggregations().get("agg");   // For each entry for (Range.Bucket entry : agg.getBuckets()) { // Ip range as key String key = entry.getKeyAsString();             // Ip bucket from as a String String fromAsString = entry.getFromAsString();   // Ip bucket to as a String String toAsString = entry.getToAsString();       // Doc count long docCount = entry.getDocCount();                 logger.info("key [{}], from [{}], to [{}], doc_count [{}]", key, fromAsString, toAsString, docCount); }

 

3、result

key [*-192.168.1.0], from [null], to [192.168.1.0], doc_count [13] key [192.168.1.0-192.168.2.0], from [192.168.1.0], to [192.168.2.0], doc_count [14] key [192.168.2.0-*], from [192.168.2.0], to [null], doc_count [23]

 

Result 2:

key [192.168.0.0/32], from [192.168.0.0], to [192.168.0.1], doc_count [0] key [192.168.0.0/24], from [192.168.0.0], to [192.168.1.0], doc_count [13] key [192.168.0.0/16], from [192.168.0.0], to [192.169.0.0], doc_count [50]

 

 

12)、Histogram Aggregation(柱状图聚合)

1、Prepare aggregation request

AggregationBuilder aggregation =         AggregationBuilders                 .histogram("agg")                 .field("height")                 .interval(1);

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.histogram.Histogram; // sr is here your SearchResponse object Histogram agg = sr.getAggregations().get("agg");   // For each entry for (Histogram.Bucket entry : agg.getBuckets()) {     Number key = (Number) entry.getKey();   // Key     long docCount = entry.getDocCount();    // Doc count     logger.info("key [{}], doc_count [{}]", key, docCount); }

 

 

 

 

13)、Date Histogram Aggregation(日期柱状图聚合)

1、Prepare aggregation request

AggregationBuilder aggregation =         AggregationBuilders                 .dateHistogram("agg")                 .field("dateOfBirth")                 .dateHistogramInterval(DateHistogramInterval.YEAR);

 

如果想获取最近十天的数据（相对时间）：

AggregationBuilder aggregation =         AggregationBuilders                 .dateHistogram("agg")                 .field("dateOfBirth")                 .dateHistogramInterval(DateHistogramInterval.days(10));

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.histogram.Histogram; // sr is here your SearchResponse object Histogram agg = sr.getAggregations().get("agg"); // For each entry for (Histogram.Bucket entry : agg.getBuckets()) {     DateTime key = (DateTime) entry.getKey();    // Key     String keyAsString = entry.getKeyAsString(); // Key as String     long docCount = entry.getDocCount();         // Doc count       logger.info("key [{}], date [{}], doc_count [{}]", keyAsString, key.getYear(), docCount); }

 

3、result

key [1942-01-01T00:00:00.000Z], date [1942], doc_count [1] key [1945-01-01T00:00:00.000Z], date [1945], doc_count [1] key [1946-01-01T00:00:00.000Z], date [1946], doc_count [1] ... key [2005-01-01T00:00:00.000Z], date [2005], doc_count [1] key [2007-01-01T00:00:00.000Z], date [2007], doc_count [2] key [2008-01-01T00:00:00.000Z], date [2008], doc_count [3]

 

14)、Geo Distance Aggregation(地理距离聚合)

1、Prepare aggregation request

AggregationBuilder aggregation =         AggregationBuilders                 .geoDistance("agg", new GeoPoint(48.84237171118314,2.33320027692004))                 .field("address.location")                 .unit(DistanceUnit.KILOMETERS)                 .addUnboundedTo(3.0)                 .addRange(3.0, 10.0)                 .addRange(10.0, 500.0);

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.range.Range; // sr is here your SearchResponse object Range agg = sr.getAggregations().get("agg");   // For each entry for (Range.Bucket entry : agg.getBuckets()) {     String key = entry.getKeyAsString();    // key as String     Number from = (Number) entry.getFrom(); // bucket from value     Number to = (Number) entry.getTo();     // bucket to value     long docCount = entry.getDocCount();    // Doc count       logger.info("key [{}], from [{}], to [{}], doc_count [{}]", key, from, to, docCount); }

 

3、result

key [*-3.0], from [0.0], to [3.0], doc_count [161] key [3.0-10.0], from [3.0], to [10.0], doc_count [460] key [10.0-500.0], from [10.0], to [500.0], doc_count [4925]

 

15) 、Geo Hash Grid Aggregation(地理哈希网格聚合)

1、Prepare aggregation request

AggregationBuilder aggregation =         AggregationBuilders                 .geohashGrid("agg")                 .field("address.location")                 .precision(4);

 

2、Use aggregation response

import org.elasticsearch.search.aggregations.bucket.geogrid.GeoHashGrid; // sr is here your SearchResponse object GeoHashGrid agg = sr.getAggregations().get("agg");   // For each entry for (GeoHashGrid.Bucket entry : agg.getBuckets()) {     String keyAsString = entry.getKeyAsString(); // key as String     GeoPoint key = (GeoPoint) entry.getKey();    // key as geo point     long docCount = entry.getDocCount();         // Doc count       logger.info("key [{}], point {}, doc_count [{}]", keyAsString, key, docCount); }

 

3、result

key [gbqu], point [47.197265625, -1.58203125], doc_count [1282] key [gbvn], point [50.361328125, -4.04296875], doc_count [1248] key [u1j0], point [50.712890625, 7.20703125], doc_count [1156] key [u0j2], point [45.087890625, 7.55859375], doc_count [1138] ...

 

3、Pipeline Aggregations(管道聚合)

 

4、Matrix Aggregations(矩阵聚合)

 

Caching heavy aggregations

Returning only aggregation results

Aggregation Metadata

Returning the type of the aggregation