ES按照指定条件筛选后聚合，按小时聚合，然后统计

  public String getHabits(String bloggerId, Integer type, String stime, String etime) {
        String result = "";
        String index = "";
        if (type == 1) {
            index = "AAAAAAAAA";
        } else if (type == 2) {
            index = "BBBBBBBBBB";
        }
        String[] types = new String[]{index};
        SearchClient client = null;
        Map<String, Integer> map = new HashMap<>();

        try {
            client = searchIndexer.getSearchClient(null, types);
            if (type == 1) {
                //  client.addPrimitiveTermQuery("fb_id", bloggerId, ISIOperator.MUST);
                client.addPrimitiveTermQuery("tw_id", bloggerId, ISIOperator.MUST);
            } else if (type == 2) {
                client.addPrimitiveTermQuery("tw_id", bloggerId, ISIOperator.MUST);
            }

            if (StringUtils.isNotEmpty(stime) && StringUtils.isNotEmpty(etime)) {
                client.addRangeQuery("pubtime", stime, RangeCommon.GTE, etime, RangeCommon.LT, ISIOperator.MUST);
            }


            result = client.addPubtimeAgg();


        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            if(client != null){
                client.close();
            }

        }

        return result;
    }   




public String addPubtimeAgg(){
        DateHistogramBuilder dateHistogramBuilder = AggregationBuilders.dateHistogram("pubtime_histogram")
                .field("pubtime").interval(DateHistogram.Interval.HOUR)
                .minDocCount(0L)
            //    .extendedBounds(0L, 24L)  // 设置时间范围为左开右闭的 [0-24) 点
//                .subAggregation(
//                        AggregationBuilders.cardinality("unique_docs")
//                                .field("auto_id")
//                );
        ;

        searchbuilder.addAggregation(dateHistogramBuilder);
        if (this.query != null) {
            this.searchbuilder.setQuery(this.query);
        }
        SearchResponse sr = searchbuilder.execute().actionGet();

        // 解析结果
        Histogram pubtimeHistogram = sr.getAggregations().get("pubtime_histogram");
//        Cardinality uniqueDocsAgg = (Cardinality) pubtimeHistogram.getBucketByKey("unique_docs");
//        long totalUniqueDocs = uniqueDocsAgg.getValue();

//        System.out.println("0-8点文档个数：" + getBucketCount(pubtimeHistogram, 0, 8));
//        System.out.println("8-12点文档个数：" + getBucketCount(pubtimeHistogram, 8, 12));
//        System.out.println("12-18点文档个数：" + getBucketCount(pubtimeHistogram, 12, 18));
//        System.out.println("18-24点文档个数：" + getBucketCount(pubtimeHistogram, 18, 24));
//        System.out.println("总文档个数：" + totalUniqueDocs);
        HashMap<String, Long> map = new HashMap<>();
        long bucketCount = getBucketCount(pubtimeHistogram, 0, 8);
        long bucketCount1 = getBucketCount(pubtimeHistogram, 8, 12);
        long bucketCount2 = getBucketCount(pubtimeHistogram, 12, 18);
        long bucketCount3 = getBucketCount(pubtimeHistogram, 18, 24);
        map.put("0-8", bucketCount);
        map.put("8-12", bucketCount1);
        map.put("12-18", bucketCount2);
        map.put("18-24", bucketCount3);
        String keyWithMaxValue = map.entrySet().stream()
                .max(Map.Entry.comparingByValue())
                .get().getKey();
        return keyWithMaxValue;
    }

    private static long getBucketCount(Histogram histogram, int startHour, int endHour) {
        long count = 0;
        for (Histogram.Bucket bucket : histogram.getBuckets()) {
            String hourStr =  bucket.getKey();
            Integer hour = TimeUtil.getHour(hourStr);
            if (hour >= startHour && hour < endHour) {
                 count = count +bucket.getDocCount();
            }
        }
        return count;
    }