Examples with Percentile org.elasticsearch.search.aggregations.metrics.Percentile used on opensource projects

Example 1 with Percentile

use of org.elasticsearch.search.aggregations.metrics.Percentile in project olive by ClareTung.

the class AggrMetricService method aggregationPercentiles.

/**
 * percentiles 统计员工工资百分位
 */
public Object aggregationPercentiles() {
    String responseResult = "";
    try {
        // 设置聚合条件
        AggregationBuilder aggr = AggregationBuilders.percentiles("salary_percentiles").field("salary");
        // 查询源构建器
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        searchSourceBuilder.aggregation(aggr);
        searchSourceBuilder.size(0);
        // 创建查询请求对象，将查询条件配置到其中
        SearchRequest request = new SearchRequest("es-start-user");
        request.source(searchSourceBuilder);
        // 执行请求
        SearchResponse response = restHighLevelClient.search(request, RequestOptions.DEFAULT);
        // 获取响应中的聚合信息
        Aggregations aggregations = response.getAggregations();
        // 输出内容
        if (RestStatus.OK.equals(response.status()) || aggregations != null) {
            // 转换为 Percentiles 对象
            ParsedPercentiles aggregation = aggregations.get("salary_percentiles");
            log.info("-------------------------------------------");
            log.info("聚合信息:");
            for (Percentile percentile : aggregation) {
                log.info("百分位：{}：{}", percentile.getPercent(), percentile.getValue());
            }
            log.info("-------------------------------------------");
        }
        // 根据具体业务逻辑返回不同结果，这里为了方便直接将返回响应对象Json串
        responseResult = response.toString();
    } catch (IOException e) {
        log.error("", e);
    }
    return responseResult;
}

Example 2 with Percentile

use of org.elasticsearch.search.aggregations.metrics.Percentile in project vind by RBMHTechnology.

the class ResultUtils method getStatsFacetResults.

private static Pair<String, StatsFacetResult> getStatsFacetResults(Map<String, Aggregation> aggregations, Facet.StatsFacet statsFacet) {
    final FieldDescriptor field = statsFacet.getField();
    Object min = null;
    Object max = null;
    Double sum = null;
    Long count = null;
    Long missing = null;
    Double sumOfSquares = null;
    Object mean = null;
    Double stddev = null;
    Map<Double, Double> percentiles = null;
    List distinctValues = null;
    Long countDistinct = null;
    Long cardinality = null;
    final Optional<ParsedExtendedStats> statsAggregation = aggregations.entrySet().stream().filter(entry -> entry.getKey().endsWith(statsFacet.getFacetName())).map(Map.Entry::getValue).map(agg -> (ParsedExtendedStats) agg).findFirst();
    if (statsAggregation.isPresent() && statsFacet.getSum()) {
        sum = statsAggregation.get().getSum();
    }
    if (statsAggregation.isPresent() && statsFacet.getMin()) {
        min = DocumentUtil.castForDescriptor(statsAggregation.get().getMin(), field, FieldDescriptor.UseCase.Facet);
    }
    if (statsAggregation.isPresent() && statsFacet.getMax()) {
        max = DocumentUtil.castForDescriptor(statsAggregation.get().getMax(), field, FieldDescriptor.UseCase.Facet);
    }
    if (statsAggregation.isPresent() && statsFacet.getCount()) {
        count = statsAggregation.get().getCount();
    }
    if (statsFacet.getMissing()) {
        final Optional<Aggregation> statsMissingAggregation = aggregations.entrySet().stream().filter(entry -> entry.getKey().endsWith(statsFacet.getFacetName() + "_missing")).map(Map.Entry::getValue).findFirst();
        if (statsMissingAggregation.isPresent()) {
            missing = ((ParsedMissing) statsMissingAggregation.get()).getDocCount();
        }
    }
    if (statsAggregation.isPresent() && statsFacet.getSumOfSquares()) {
        sumOfSquares = statsAggregation.get().getSumOfSquares();
    }
    if (statsAggregation.isPresent() && statsFacet.getMean()) {
        mean = DocumentUtil.castForDescriptor(statsAggregation.get().getAvg(), field, FieldDescriptor.UseCase.Facet);
    }
    if (statsAggregation.isPresent() && statsFacet.getStddev()) {
        stddev = statsAggregation.get().getStdDeviation();
    }
    if (ArrayUtils.isNotEmpty(statsFacet.getPercentiles())) {
        final Optional<Aggregation> statsPercentilesAggregation = aggregations.entrySet().stream().filter(entry -> entry.getKey().endsWith(statsFacet.getFacetName() + "_percentiles")).map(Map.Entry::getValue).findFirst();
        if (statsPercentilesAggregation.isPresent()) {
            percentiles = Streams.stream(((ParsedPercentiles) statsPercentilesAggregation.get()).iterator()).collect(Collectors.toMap((Percentile p) -> Double.valueOf(p.getPercent()), (Percentile p) -> Double.valueOf(p.getValue())));
        }
    }
    if (statsFacet.getDistinctValues()) {
        final Optional<Aggregation> statsValuesAggregation = aggregations.entrySet().stream().filter(entry -> entry.getKey().endsWith(statsFacet.getFacetName() + "_values")).map(Map.Entry::getValue).findFirst();
        if (statsValuesAggregation.isPresent()) {
            distinctValues = ((ParsedTerms) statsValuesAggregation.get()).getBuckets().stream().filter(bucket -> bucket.getDocCount() > 0).map(MultiBucketsAggregation.Bucket::getKey).map(o -> DocumentUtil.castForDescriptor(o, field, FieldDescriptor.UseCase.Facet)).collect(Collectors.toList());
        }
    }
    if (statsFacet.getCountDistinct()) {
        final Optional<Aggregation> statsValuesAggregation = aggregations.entrySet().stream().filter(entry -> entry.getKey().endsWith(statsFacet.getFacetName() + "_values")).map(Map.Entry::getValue).findFirst();
        if (statsValuesAggregation.isPresent()) {
            countDistinct = ((ParsedTerms) statsValuesAggregation.get()).getBuckets().stream().filter(bucket -> bucket.getDocCount() > 0).count();
        }
    }
    if (statsFacet.getCardinality()) {
        final Optional<Aggregation> statsCardinalityAggregation = aggregations.entrySet().stream().filter(entry -> entry.getKey().endsWith(statsFacet.getFacetName() + "_cardinality")).map(Map.Entry::getValue).findFirst();
        if (statsCardinalityAggregation.isPresent()) {
            cardinality = ((ParsedCardinality) statsCardinalityAggregation.get()).getValue();
        }
    }
    final StatsFacetResult statsFacetResult = new StatsFacetResult(field, min, max, sum, count, missing, sumOfSquares, mean, stddev, percentiles, distinctValues, countDistinct, cardinality);
    return Pair.of(statsFacet.getFacetName(), statsFacetResult);
}