Sql 并发用户报告

我在Oracle中有一个跟踪用户登录和注销/超时的表。我正在进行选择查询，以按小时显示过去7天的并发用户。我有一个基本查询，但它没有正确计算会话跨越午夜的用户数

有关数据/我的查询的信息位：

Logintracking保存所有用户登录操作，例如登录/注销/超时操作。每个操作都位于单独的行上。 Attemptdate是操作发生的时间 Attemptresult7是登录操作login/LOGOUT/TIMEOUT的结果 Maxsessionuid是用户会话id，可用于将登录链接到注销/超时。 我正在使用左外部自连接根据会话id将登录与注销匹配。由于用户可能仍在登录，我将使用sysdate替换空的注销日期。 我按年/月/日对数据进行分组，并删除用户可能已使用不同密码登录两次的任何记录。登录10次的同一用户在此报告中仅被视为1个并发用户。这一部分也没有真正起作用，因为我的独特之处在于登录和注销时间，这可能在会话之间有所不同。我真的需要为同一个用户合并重叠的会话。。。 我通过查看从0到23之间的每小时是否在登录和注销之间来计算并发用户的数量，当然，这对于跨天的会话是不起作用的 -到目前为止，我的Oracle查询：

Select Lyear,
        Lmonth,
        Lday,
        Sum(Case When 0 Between Lhour And Ohour Then 1 Else 0 End) H00,
        Sum(CASE WHEN 1 between LHour and OHour Then 1 Else 0 End) H01,
        Sum(CASE WHEN 2 between LHour and OHour Then 1 Else 0 End) H02,
        Sum(Case When 3 Between Lhour And Ohour Then 1 Else 0 End) H03,
        Sum(CASE WHEN 4 between LHour and OHour Then 1 Else 0 End) H04,
        Sum(CASE WHEN 5 between LHour and OHour Then 1 Else 0 End) H05,
        Sum(CASE WHEN 6 between LHour and OHour Then 1 Else 0 End) H06,
        Sum(CASE WHEN 7 between LHour and OHour Then 1 Else 0 End) H07,
        Sum(CASE WHEN 8 between LHour and OHour Then 1 Else 0 End) H08,
        Sum(Case When 9 Between Lhour And Ohour Then 1 Else 0 End) H09,
        Sum(CASE WHEN 10 between LHour and OHour Then 1 Else 0 End) H10,
        Sum(CASE WHEN 11 between LHour and OHour Then 1 Else 0 End) H11,
        Sum(CASE WHEN 12 between LHour and OHour Then 1 Else 0 End) H12,
        Sum(CASE WHEN 13 between LHour and OHour Then 1 Else 0 End) H13,
        Sum(CASE WHEN 14 between LHour and OHour Then 1 Else 0 End) H14,
        Sum(CASE WHEN 15 between LHour and OHour Then 1 Else 0 End) H15,
        Sum(Case When 16 Between Lhour And Ohour Then 1 Else 0 End) H16,
        Sum(Case When 17 Between Lhour And Ohour Then 1 Else 0 End) H17,
        Sum(Case When 18 Between Lhour And Ohour Then 1 Else 0 End) H18,
        Sum(CASE WHEN 19 between LHour and OHour Then 1 Else 0 End) H19,
        Sum(Case When 20 Between Lhour And Ohour Then 1 Else 0 End) H20,
        Sum(Case When 21 Between Lhour And Ohour Then 1 Else 0 End) H21,
        Sum(CASE WHEN 22 between LHour and OHour Then 1 Else 0 End) H22,
        Sum(Case When 23 Between Lhour And Ohour Then 1 Else 0 End) H23
From (    
Select Distinct L1.Userid,
         Extract(Year From L1.Attemptdate) Lyear,  
         Extract(Month From L1.Attemptdate) Lmonth, 
         Extract(Day From L1.Attemptdate) Lday,
    --You can't extract HOUR from a date, must be a timestamp
         Extract(Hour From Cast(L1.Attemptdate As Timestamp)) As Lhour, 
         Extract(Hour From Cast(NVL(L2.Attemptdate,SYSDATE) As Timestamp)) As OHour
  From Maximo.Logintracking L1
        LEFT OUTER JOIN Maximo.Logintracking L2 On
          L1.Maxsessionuid = L2.Maxsessionuid
  Where L1.Attemptresult7 = 'LOGIN' And L2.Attemptresult7 != 'LOGIN'
        And L1.Attemptdate > Trunc( Sysdate)-7
        And L2.Attemptdate > Trunc(Sysdate)-7) Sessions
Group By Lyear, Lmonth, Lday    
ORDER By LYear, LMonth, LDay

查询不必保持现在的状态。但最终的结果应该是，我有一个x天视图，按小时显示并发用户

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相关：

在我写得相当简洁的查询过程中，这个怪物似乎可以工作，所以至少有一个好处：

CREATE TABLE logintracking (
  userid NUMBER,
  maxsessionuid NUMBER,
  Attemptdate DATE,
  attemptresult7 VARCHAR2(20)
);

INSERT INTO logintracking VALUES (1, 100, TO_DATE('27-10-2013 10:00:00', 'DD-MM-YYYY HH24:MI:SS'), 'LOGIN');
INSERT INTO logintracking VALUES (1, 100, TO_DATE('27-10-2013 12:00:00', 'DD-MM-YYYY HH24:MI:SS'), 'LOGOUT');

INSERT INTO logintracking VALUES (1, 101, TO_DATE('27-10-2013 11:00:00', 'DD-MM-YYYY HH24:MI:SS'), 'LOGIN');
INSERT INTO logintracking VALUES (1, 101, TO_DATE('27-10-2013 15:00:00', 'DD-MM-YYYY HH24:MI:SS'), 'LOGOUT');

INSERT INTO logintracking VALUES (1, 102, TO_DATE('27-10-2013 23:00:00', 'DD-MM-YYYY HH24:MI:SS'), 'LOGIN');
INSERT INTO logintracking VALUES (1, 102, TO_DATE('28-10-2013 02:00:00', 'DD-MM-YYYY HH24:MI:SS'), 'LOGOUT');

INSERT INTO logintracking VALUES (1, 103, TO_DATE('27-10-2013 20:00:00', 'DD-MM-YYYY HH24:MI:SS'), 'LOGIN');
INSERT INTO logintracking VALUES (1, 103, TO_DATE('28-10-2013 01:00:00', 'DD-MM-YYYY HH24:MI:SS'), 'LOGOUT');

INSERT INTO logintracking VALUES (2, 104, TO_DATE('27-10-2013 23:00:00', 'DD-MM-YYYY HH24:MI:SS'), 'LOGIN');
INSERT INTO logintracking VALUES (2, 104, TO_DATE('28-10-2013 02:00:00', 'DD-MM-YYYY HH24:MI:SS'), 'LOGOUT');

COMMIT;

WITH
  hours_of_last_7_days AS (
    SELECT TRUNC(SYSDATE, 'HH24') - numtodsinterval(level, 'HOUR') AS hour_val
      FROM dual
    CONNECT BY level <= 7 * 24
  )
SELECT
    lyear,
    lmonth,
    lday,
    SUM(DECODE(lhour, 0, 1, 0)) AS H00,
    SUM(DECODE(lhour, 1, 1, 0)) AS H01,
    SUM(DECODE(lhour, 2, 1, 0)) AS H02,
    SUM(DECODE(lhour, 3, 1, 0)) AS H03,
    SUM(DECODE(lhour, 4, 1, 0)) AS H04,
    SUM(DECODE(lhour, 5, 1, 0)) AS H05,
    SUM(DECODE(lhour, 6, 1, 0)) AS H06,
    SUM(DECODE(lhour, 7, 1, 0)) AS H07,
    SUM(DECODE(lhour, 8, 1, 0)) AS H08,
    SUM(DECODE(lhour, 9, 1, 0)) AS H09,
    SUM(DECODE(lhour, 10, 1, 0)) AS H10,
    SUM(DECODE(lhour, 11, 1, 0)) AS H11,
    SUM(DECODE(lhour, 12, 1, 0)) AS H12,
    SUM(DECODE(lhour, 13, 1, 0)) AS H13,
    SUM(DECODE(lhour, 14, 1, 0)) AS H14,
    SUM(DECODE(lhour, 15, 1, 0)) AS H15,
    SUM(DECODE(lhour, 16, 1, 0)) AS H16,
    SUM(DECODE(lhour, 17, 1, 0)) AS H17,
    SUM(DECODE(lhour, 18, 1, 0)) AS H18,
    SUM(DECODE(lhour, 19, 1, 0)) AS H19,
    SUM(DECODE(lhour, 20, 1, 0)) AS H20,
    SUM(DECODE(lhour, 21, 1, 0)) AS H21,
    SUM(DECODE(lhour, 22, 1, 0)) AS H22,
    SUM(DECODE(lhour, 23, 1, 0)) AS H23
  FROM (
    SELECT
      DISTINCT
          sessions.userid,
          EXTRACT(YEAR FROM hour_val) AS lyear,
          EXTRACT(MONTH FROM hour_val) AS lmonth,
          EXTRACT(DAY FROM hour_val) AS lday,
          EXTRACT(HOUR FROM CAST(hour_val AS TIMESTAMP)) AS lhour
        FROM (
            SELECT start_lt.userid, start_lt.attemptdate AS login_date, NVL(end_lt.attemptdate, sysdate) AS logout_date
              FROM
                logintracking start_lt
                  LEFT OUTER JOIN logintracking end_lt  ON (start_lt.maxsessionuid = end_lt.maxsessionuid AND start_lt.attemptresult7 <> end_lt.attemptresult7)
            WHERE
              start_lt.attemptresult7 = 'LOGIN'
              AND start_lt.attemptdate > Trunc(SYSDATE) - 8
          ) sessions
          JOIN hours_of_last_7_days hd ON (hd.hour_val BETWEEN trunc(sessions.login_date,'HH24') AND trunc(sessions.logout_date,'HH24'))
  )
GROUP BY lyear, lmonth, lday
ORDER BY lyear, lmonth, lday
;

输出：

LYEAR LMONTH LDAY H00 H01 H02 H03 H04 H05 H06 H07 H08 H09 H10 H11 H12 H13 H14 H15 H16 H17 H18 H19 H20 H21 H22 H23 ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- 2013 10 27 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 1 1 1 2 2013 10 28 2 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

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非常感谢。我将过去7天的小时数改为使用TRUNCSYSDATE，'DDD'，我还将我的内部选择改为使用TRUNCSYSDATE，'DDD'-8，而不是-7，因为它切断了在第一天午夜之前开始但在午夜之后结束的登录会话。