Sql 基于小时数的组日期列

我在sqlite数据库中有一个表，我在其中存储有关调用日志的数据。例如，假设我的表如下所示

| Calls_count | Calls_duration | Time_slice | Time_stamp |
|    10       |     500        | 21         | 1399369269 |
|     2       |     88         | 22         | 1399383668 |    

这里

Calls\u count是自上次观察以来进行的呼叫

Calls\u duration是自上次观察以来呼叫的持续时间，单位为毫秒

时间片表示一周的时间部分。每天分为4部分，每部分6小时，以便

     06:00-11:59 | 12:00-17:59 | 18:00- 23.59 | 24:00-05:59 |
Mon| 11          | 12          | 13           | 14          | 
Tue| 21          | 22          | 23           | 24          | 
Wed| 31          | 32          | 33           | 34          | 
Thu| 41          | 42          | 43           | 44          | 
Fri| 51          | 52          | 53           | 54          | 
Sat| 61          | 62          | 63           | 64          | 
Sun| 71          | 72          | 73           | 74          | 

当观测/记录插入数据库时，时间戳为unix epoch

现在我想创建一个查询，这样，如果我为一周的开始和结束指定时间戳，结果是168行数据，给我按小时分组的调用总数，这样一周中的每一天就有24行。这是一周内每小时的电话细分

SUM_CALLS | Time_Slice | Hour_of_Week |
10        | 11         | 1            |  
0         | 11         | 2            | 
....
7         | 74         | 167          |  
4         | 74         | 168          |  

在上述预期结果示例中

    1st row is  Monday 06:00-06:59 
    2nd row is  Monday 07:00-07:59
    Last row is Sunday 04:00-05:59

---

由于版本3.8.3，SQLite支持公共表表达式 这是一个可能的解决方案

WITH RECURSIVE
  hours(x,y) AS (SELECT CAST(STRFTIME('%s',STRFTIME('%Y-%m-%d %H:00:00', '2014-05-05 00:00:00')) AS INTEGER),
                        CAST(STRFTIME('%s',STRFTIME('%Y-%m-%d %H:59:59', '2014-05-05 00:00:00')) AS INTEGER)

            UNION ALL

                SELECT x+3600,y+3600 FROM hours LIMIT 168)

SELECT
        COALESCE(SUM(Calls_count),0) AS SUM_CALLS,
        CASE CAST(STRFTIME('%w',x,'unixepoch') AS INTEGER)
          WHEN 0 THEN 7 ELSE STRFTIME('%w',x,'unixepoch') END
        ||
        CASE
          WHEN STRFTIME('%H:%M:%S',x,'unixepoch') BETWEEN '06:00:00' AND '11:59:59' THEN 1
          WHEN STRFTIME('%H:%M:%S',x,'unixepoch') BETWEEN '12:00:00' AND '17:59:59' THEN 2
          WHEN STRFTIME('%H:%M:%S',x,'unixepoch') BETWEEN '18:00:00' AND '23:59:59' THEN 3
          WHEN STRFTIME('%H:%M:%S',x,'unixepoch') BETWEEN '00:00:00' AND '05:59:59' THEN 4
        END AS Time_Slice,
        ((x-(SELECT MIN(x) FROM hours))/3600)+1 AS Hour_of_Week

  FROM hours LEFT JOIN call_logs
    ON call_logs.time_stamp >= hours.x AND call_logs.time_stamp <= hours.y
    GROUP BY Hour_of_Week
    ORDER BY Hour_of_Week
    ;

这是使用SQLite版本3.7.13（不带cte）进行测试的：

DROP VIEW IF EXISTS digit;
CREATE TEMPORARY VIEW digit AS SELECT 0 AS d UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4 UNION
                              SELECT 5      UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9
                              ;

DROP VIEW IF EXISTS hours;
CREATE TEMPORARY VIEW hours AS SELECT STRFTIME('%s','2014-05-05 00:00:00') + s AS x,
                                      STRFTIME('%s','2014-05-05 00:00:00') + s+3599  AS y
                                FROM (SELECT (a.d || b.d || c.d) * 3600 AS s FROM digit a, digit b, digit c LIMIT 168)
                                ;

SELECT
        COALESCE(SUM(Calls_count),0) AS SUM_CALLS,
        CASE CAST(STRFTIME('%w',x,'unixepoch') AS INTEGER)
          WHEN 0 THEN 7 ELSE STRFTIME('%w',x,'unixepoch') END
        ||
        CASE
          WHEN STRFTIME('%H:%M:%S',x,'unixepoch') BETWEEN '06:00:00' AND '11:59:59' THEN 1
          WHEN STRFTIME('%H:%M:%S',x,'unixepoch') BETWEEN '12:00:00' AND '17:59:59' THEN 2
          WHEN STRFTIME('%H:%M:%S',x,'unixepoch') BETWEEN '18:00:00' AND '23:59:59' THEN 3
          WHEN STRFTIME('%H:%M:%S',x,'unixepoch') BETWEEN '00:00:00' AND '05:59:59' THEN 4
        END AS Time_Slice,
        ((x-(SELECT MIN(x) FROM hours))/3600)+1 AS Hour_of_Week

  FROM hours LEFT JOIN call_logs
    ON call_logs.time_stamp >= hours.x AND call_logs.time_stamp <= hours.y
    GROUP BY Hour_of_Week
    ORDER BY Hour_of_Week
    ;

---

不幸的是，我不能用我的sqlite数据库来测试这一点，因为它来自Android设备，据我所知，即使在最新的操作系统版本4.4 Kit-Kat中也有sqlite 3.7.11。有没有办法将我的旧SQLite数据库从3.7.x转换为3.8.3？如果不能使用新版本的SQLite，可以尝试不使用cte。我添加了一个新版本。