は、私は数日カバー不定期に関連するタイムスタンプ（valuedatetimeカラム）との取引（金額列）を含むテーブルを有する規則的な時間間隔

Question

でデータを合計します。トランザクションがある毎日の開始から終了までの定期的な時間間隔で累積合計を計算するクエリを作成する必要があります（たとえば5分ごと）。アイデアは、毎日の線図を作成するために使用できるデータセットを作成することです。 私はこれにかなり新しいですし、どんな助けも大いに感謝されるでしょう。

Answer 1

SQL Fiddle

Oracleの11グラムR2スキーマのセットアップ：1

CREATE TABLE table_name (amount, valuedatetime) AS 
    SELECT 1, TIMESTAMP '2017-10-22 23:45:21.234' FROM DUAL UNION ALL 
    SELECT 2, TIMESTAMP '2017-10-22 23:47:10.000' FROM DUAL UNION ALL 
    SELECT 3, TIMESTAMP '2017-10-22 23:52:41.123' FROM DUAL UNION ALL 
    SELECT 4, TIMESTAMP '2017-10-22 23:55:23.456' FROM DUAL UNION ALL 
    SELECT 5, TIMESTAMP '2017-10-22 23:58:24.789' FROM DUAL UNION ALL 
    SELECT 6, TIMESTAMP '2017-10-22 23:59:59.999' FROM DUAL UNION ALL 
    SELECT 7, TIMESTAMP '2017-10-23 00:00:00.000' FROM DUAL UNION ALL 
    SELECT 8, TIMESTAMP '2017-10-23 00:01:02.234' FROM DUAL UNION ALL 
    SELECT 9, TIMESTAMP '2017-10-23 00:05:00.000' FROM DUAL UNION ALL 
    SELECT 10, TIMESTAMP '2017-10-23 00:09:59.999' FROM DUAL; 

問合せ：

SELECT SUM(amount), 
     --channel_id, 
     TRUNC(valuedatetime) 
     + 
     TRUNC(
     (
      CAST(valuedatetime AS DATE) - TRUNC(valuedatetime) 
     ) 
     * 24 -- Hours per day 
     * 60 -- Minutes per hour 
     /5 -- group into 5 minute buckets 
     ) * 5/60/24 AS range_start 
FROM table_name 
GROUP BY 
     --channel_id, 
     TRUNC(valuedatetime), 
     TRUNC(
     (
      CAST(valuedatetime AS DATE) - TRUNC(valuedatetime) 
     ) 
     * 24 -- Hours per day 
     * 60 -- Minutes per hour 
     /5 -- group into 5 minute buckets 
     ) 

Results：

| SUM(AMOUNT) |   RANGE_START | 
|-------------|----------------------| 
|   3 | 2017-10-22T23:45:00Z | 
|   3 | 2017-10-22T23:50:00Z | 
|   15 | 2017-10-23T00:00:00Z | 
|   15 | 2017-10-22T23:55:00Z | 
|   19 | 2017-10-23T00:05:00Z | 

あなたは何のエントリが、その後がない期間に含める場合：

SQL Fiddle

Oracleの11グラムR2スキーマのセットアップ：

CREATE TABLE table_name (amount, valuedatetime) AS 
    SELECT 1, TIMESTAMP '2017-10-22 23:45:21.234' FROM DUAL UNION ALL 
    SELECT 2, TIMESTAMP '2017-10-22 23:47:10.000' FROM DUAL UNION ALL 
    SELECT 3, TIMESTAMP '2017-10-22 23:52:41.123' FROM DUAL UNION ALL 
    SELECT 4, TIMESTAMP '2017-10-22 23:55:23.456' FROM DUAL UNION ALL 
    SELECT 5, TIMESTAMP '2017-10-22 23:58:24.789' FROM DUAL UNION ALL 
    SELECT 6, TIMESTAMP '2017-10-22 23:59:59.999' FROM DUAL UNION ALL 
    SELECT 7, TIMESTAMP '2017-10-23 00:00:00.000' FROM DUAL UNION ALL 
    SELECT 8, TIMESTAMP '2017-10-23 00:01:02.234' FROM DUAL UNION ALL 
    SELECT 9, TIMESTAMP '2017-10-23 00:15:00.000' FROM DUAL UNION ALL 
    SELECT 10, TIMESTAMP '2017-10-23 00:19:59.999' FROM DUAL; 

クエリ1：

を

WITH ranges (dt) AS (
    SELECT min_dt + NUMTODSINTERVAL(5 * (LEVEL - 1), 'MINUTE') 
    FROM (
    SELECT TRUNC(CAST(MIN(valuedatetime) AS DATE)) 
      + 
      TRUNC(
      (CAST(MIN(valuedatetime) AS DATE) 
      - TRUNC(MIN(valuedatetime))) 
      * 24 * 60/5 
      ) * 5/60/24 AS min_dt, 
      MAX(valuedatetime) AS max_dt 
    FROM table_name 
) 
    CONNECT BY 
     min_dt + INTERVAL '5' MINUTE * (LEVEL - 1) <= max_dt 
) 
SELECT COALESCE(SUM(amount), 0) AS total_amount, 
     --channel_id, 
     r.dt AS range_start 
FROM ranges r 
     LEFT OUTER JOIN table_name t 
     ON (r.dt    <= t.valuedatetime 
      AND t.valuedatetime < r.dt + INTERVAL '5' MINUTE) 
GROUP BY 
     --channel_id, 
     r.dt 
ORDER BY 
     --channel_id, 
     r.dt 

Results：

| TOTAL_AMOUNT |   RANGE_START | 
|--------------|----------------------| 
|   3 | 2017-10-22T23:45:00Z | 
|   3 | 2017-10-22T23:50:00Z | 
|   15 | 2017-10-22T23:55:00Z | 
|   15 | 2017-10-23T00:00:00Z | 
|   0 | 2017-10-23T00:05:00Z | 
|   0 | 2017-10-23T00:10:00Z | 
|   19 | 2017-10-23T00:15:00Z |