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2 つのテーブルからレコードをフェッチする必要があります。1 つのテーブルはハイパー テーブルで、もう 1 つのテーブルは通常のテーブルです。

ハイパー テーブルの主キー (timestampz 列ではなく UUID) は、2 番目の通常のテーブルで外部キーとして使用されます。

ハイパー テーブルは、通常のテーブルと 1 対多の関係にあります。

このテーブルに参加した後にレコードを選択すると、ここでハイパー テーブルのすべての利点が得られますか?

タイムスケールにpostgresqlデータベースを使用しています。

以下は、同じテーブルクエリを作成します。demography_person はハイパーテーブルで、emotions_person は通常のテーブルです。

CREATE TABLE public.demography_person
(
  start_timestamp timestamp with time zone NOT NULL,
  end_timestamp timestamp with time zone,
  demography_person_id character varying NOT NULL,
  device_id bigint,
  age_actual numeric,
  age_band integer,
  gender integer,
  dwell_time_in_millis bigint,
  customer_id bigint NOT NULL
);

SELECT create_hypertable('demography_person', 'start_timestamp');

CREATE TABLE public.emotions_person
(
  emotion_start_timestamp timestamp with time zone NOT NULL,
  demography_person_id character varying NOT NULL,
  count integer,
  emotion integer,
  emotion_percentage numeric
);

select sql クエリは次のようなものです:-

SELECT * FROM crosstab
             (
               $$
                   SELECT * FROM  ( select  to_char(dur,'HH24') as duration , dur as time_for_sorting from 
                generate_series(
            timestamp '2019-04-01 00:00:00',
            timestamp '2020-03-09 23:59:59' ,
            interval  '1 hour'
                ) as dur   ) d
                   LEFT JOIN (  
                   select to_char(
                                    start_timestamp ,
                                   'HH24'
                                   )
                   as duration,
                   emotion,count(*) as count from demography_person dp INNER JOIN (
            select  distinct ON (demography_person_id)  demography_person_id, emotion_start_timestamp,count,emotion,emotion_percentage,
            (CASE emotion when 4 THEN 1 when 6  THEN 2 when 1 THEN 3  WHEN 3 THEN 4 WHEN 2 THEN 5  when 7 THEN 6  when 5 THEN 7  ELSE 8 END )  
             as emotion_key_for_sorting from emotions_person  where    demography_person_id in (select demography_person_id from demography_person where start_timestamp >= '2019-04-01 00:00:00'
            AND start_timestamp <= '2020-03-09 23:59:59' AND device_id IN ( 2052,2692,1797,2695,1928,2697,2698,1931,2574,2575,2706,1942,1944,2713,1821,2719,2720,2721,2722,2723,2596,2725,2217,2603,1852,2750,1726,1727,2754,2757,1990,2759,2760,2376,2761,2762,2257,2777,2394,2651,2652,1761,2658,1762,2659,2788,2022,2791,2666,1770,2026,2028,2797,2675,1780,2549 ))   
               order by demography_person_id asc,emotion_percentage desc, emotion_key_for_sorting asc 
                   ) ep ON
                   ep.demography_person_id = dp.demography_person_id
                   WHERE start_timestamp >= '2019-04-01 00:00:00'
AND start_timestamp <= '2020-03-09 23:59:59' AND device_id IN ( 2052,2692,1797,2695,1928,2697,2698,1931,2574,2575,2706,1942,1944,2713,1821,2719,2720,2721,2722,2723,2596,2725,2217,2603,1852,2750,1726,1727,2754,2757,1990,2759,2760,2376,2761,2762,2257,2777,2394,2651,2652,1761,2658,1762,2659,2788,2022,2791,2666,1770,2026,2028,2797,2675,1780,2549 ) AND gender IN ( 1,2 )
                   group by 1,2 ORDER  BY 1,2 ASC
                   ) t USING (duration) GROUP  BY 1,2,3,4 ORDER  BY time_for_sorting;           
               $$ ,
               $$
                 select emotion from (
                                                          values ('1'), ('2'), ('3'),('4'), ('5'), ('6'),('7'), ('8')
                                                    ) t(emotion)
              $$ 
         ) AS ct 
              (
                   duration text,
                   time_for_sorting  timestamp,
                  ANGER bigInt,
                  DISGUSTING bigInt,
                  FEAR bigInt,
                  HAPPY bigInt,
                  NEUTRAL bigInt,
                  SAD bigInt,
                  SURPRISE bigInt,
                  NO_DETECTION bigInt
             );
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