Sql 24'）+（1级）/24您的两个UNIONed查询有什么不同？看起来您选择了两次数据，唯一的区别是act\u date和is\u start，但您的查询似乎对这两个列都没有任何作用。是否要返回没有活动用户的天数和小时数？@Shawn老实说，这可能是以前尝试
Sql 24'）+（1级）/24您的两个UNIONed查询有什么不同？看起来您选择了两次数据，唯一的区别是act\u date和is\u start，但您的查询似乎对这两个列都没有任何作用。是否要返回没有活动用户的天数和小时数？@Shawn老实说，这可能是以前尝试,sql,oracle,group-by,aggregate-functions,Sql,Oracle,Group By,Aggregate Functions,24'）+（1级）/24您的两个UNIONed查询有什么不同？看起来您选择了两次数据，唯一的区别是act\u date和is\u start，但您的查询似乎对这两个列都没有任何作用。是否要返回没有活动用户的天数和小时数？@Shawn老实说，这可能是以前尝试使查询正常工作时留下的片段。我想我曾经试着从这个@davidaber的角度来调整它，这样做的选择将非常好，因为它将使最终的图表更加一致，但这不是必需的。我希望同样的模式也能应用于数天或数月。活跃的_会话和不同的_用户之间有什么区别？几乎所有的都
24'）+（1级）/24您的两个
UNIONact\u dateis\u start|4/20/2017 | 17 | 2 | 1 || Session_id | user_name | start_date | stop_date
----------------------------------------------------------------------------
| 1 | joe | 4/20/2017 10:42:10 PM | 4/21/2017 2:42:10 AM |
| 2 | matt | 4/20/2017 5:43:10 PM | 4/20/2017 5:59:10 PM |
| 3 | matt | 4/20/2017 3:42:10 PM | 4/20/2017 5:42:10 PM |
| 4 | joe | 4/20/2017 11:20:10 AM | 4/20/2017 4:42:10 PM |
| 5 | john | 4/20/2017 8:42:10 AM | 4/20/2017 11:42:10 AM |
| 6 | matt | 4/20/2017 7:42:10 AM | 4/20/2017 11:42:10 PM |
| 7 | joe | 4/19/2017 11:20:10 PM | 4/20/2017 1:42:10 AM |
| Date | HR | active_sessions | distinct_users |
------------------------------------------------------------
| 4/21/2017 | 2 | 1 | 1 |
| 4/21/2017 | 1 | 1 | 1 |
| 4/20/2017 | 0 | 1 | 1 |
| 4/20/2017 | 23 | 1 | 1 |
| 4/20/2017 | 22 | 1 | 1 |
| 4/20/2017 | 17 | 2 | 1 |
| 4/20/2017 | 16 | 2 | 2 |
| 4/20/2017 | 15 | 2 | 2 |
| 4/20/2017 | 14 | 1 | 1 |
| 4/20/2017 | 13 | 1 | 1 |
| 4/20/2017 | 12 | 1 | 1 |
| 4/20/2017 | 11 | 3 | 3 |
| 4/20/2017 | 10 | 2 | 2 |
| 4/20/2017 | 9 | 2 | 2 |
| 4/20/2017 | 8 | 2 | 2 |
| 4/20/2017 | 7 | 1 | 1 |
| 4/20/2017 | 1 | 1 | 1 |
| 4/20/2017 | 0 | 1 | 1 |
| 4/19/2017 | 23 | 1 | 1 |
Select * FROM (
SELECT
u.YearDt, u.MonthDt, u.DayDt, u.HourDt, u.MinDt,
COUNT(Distinct u.session_id) as unique_sessions,
COUNT(Distinct u.user_name) as unique_users,
LISTAGG(u.user_name, ', ') WITHIN GROUP (ORDER BY u.user_name ASC) as users
FROM
(SELECT EXTRACT(year FROM l.start_date) as YearDt,
EXTRACT(month FROM l.start_date) as MonthDt,
EXTRACT(day FROM l.start_date) as DayDt,
EXTRACT(HOUR FROM CAST(l.start_date AS TIMESTAMP)) as HourDt,
EXTRACT(MINUTE FROM CAST(l.start_date AS TIMESTAMP)) as MinDt,
l.session_id,
l.user_name,
l.start_date as act_date,
1 as is_start
FROM web_session l
UNION ALL
SELECT EXTRACT(year FROM l.stop_date) as YearDt,
EXTRACT(month FROM l.stop_date) as MonthDt,
EXTRACT(day FROM l.stop_date) as DayDt,
EXTRACT(HOUR FROM CAST(l.stop_date AS TIMESTAMP)) as HourDt,
EXTRACT(MINUTE FROM CAST(l.stop_date AS TIMESTAMP)) as MinDt,
l.session_id,
l.user_name,
l.stop_date as act_date,
0 as is_start
FROM web_session l
) u
GROUP BY CUBE ( u.YearDt, u.MonthDt, u.DayDt, u.HourDt, u.MinDt)
) c
WITH ct ( active_dt ) AS (
-- Build the query for the "table" of hours
SELECT DATE'2018-04-19' + (LEVEL-1)/24 AS active_dt FROM dual
CONNECT BY DATE'2018-04-19' + (LEVEL-1)/24 < DATE'2018-04-22'
)
SELECT active_dt AS "Date", active_hr AS "HR"
, COUNT(session_id) AS active_sessions
, COUNT(DISTINCT user_name) AS distinct_users
FROM (
SELECT TRUNC(ct.active_dt) AS active_dt
, TO_CHAR(ct.active_dt, 'HH24') AS active_hr
, ws.session_id, ws.user_name
FROM ct LEFT JOIN web_session ws
ON ct.active_dt + 1/24 >= ws.start_dt
AND ct.active_dt < ws.stop_dt
) GROUP BY active_dt, active_hr
ORDER BY active_dt DESC, active_hr DESC;
create table time_dim (
ts date primary key,
year number not null,
month number not null,
day number not null,
wday number not null,
dy varchar2(3) not null,
hr number not null
);
insert into time_dim (ts, year, month, day, wday, dy, hr)
select ts
, extract(year from ts) year
, extract(month from ts) month
, extract(day from ts) day
, to_char(ts,'d') wday
, to_char(ts,'dy') dy
, to_number(to_char(ts,'HH24')) hr
from (
select DATE '2017-01-01' + (level - 1)/24 ts
FROM DUAL connect by level <= 365*24) a;
select t.ts, t.year, t.month, t.wday, t.dy, t.hr
, count(session_id) sessions
, count(distinct user_name) users
from time_dim t
left join web_session w
on t.ts between trunc(w.start_date, 'hh24') and w.stop_date
where trunc(t.ts) between date '2017-04-19' and date '2017-04-21'
group by rollup (t.year, t.month, (t.wday, t.dy), (t.hr, t.ts));
CREATE TABLE Web_Session ( Session_id, user_name, start_date, stop_date ) AS
SELECT 1, 'joe', CAST( TIMESTAMP '2017-04-20 22:42:10' AS DATE ), CAST( TIMESTAMP '2017-04-21 02:42:10' AS DATE ) FROM DUAL UNION ALL
SELECT 2, 'matt', TIMESTAMP '2017-04-20 17:43:10', TIMESTAMP '2017-04-20 17:59:10' FROM DUAL UNION ALL
SELECT 3, 'matt', TIMESTAMP '2017-04-20 15:42:10', TIMESTAMP '2017-04-20 17:42:10' FROM DUAL UNION ALL
SELECT 4, 'joe', TIMESTAMP '2017-04-20 11:20:10', TIMESTAMP '2017-04-20 16:42:10' FROM DUAL UNION ALL
SELECT 5, 'john', TIMESTAMP '2017-04-20 08:42:10', TIMESTAMP '2017-04-20 11:42:10' FROM DUAL UNION ALL
SELECT 6, 'matt', TIMESTAMP '2017-04-20 07:42:10', TIMESTAMP '2017-04-20 23:42:10' FROM DUAL UNION ALL
SELECT 7, 'joe', TIMESTAMP '2017-04-19 23:20:10', TIMESTAMP '2017-04-20 01:42:10' FROM DUAL;
WITH hours ( session_id, user_name, hour, duration ) AS (
SELECT session_id,
user_name,
CAST( TRUNC( start_date, 'HH24' ) AS DATE ),
( TRUNC( stop_date, 'HH24' ) - TRUNC( start_date, 'HH24' ) ) * 24
FROM web_session
UNION ALL
SELECT session_id,
user_name,
hour + INTERVAL '1' HOUR, -- There is a bug in SQLFiddle that subtracts
-- hours instead of adding so -1 is used there.
duration - 1
FROM hours
WHERE duration > 0
)
SELECT hour,
COUNT( session_id ) AS active_sessions,
COUNT( DISTINCT user_name ) AS distinct_users
FROM hours
GROUP BY hour
ORDER BY hour
| HOUR | ACTIVE_SESSIONS | DISTINCT_USERS |
|----------------------|-----------------|----------------|
| 2017-04-19T23:00:00Z | 1 | 1 |
| 2017-04-20T00:00:00Z | 1 | 1 |
| 2017-04-20T01:00:00Z | 1 | 1 |
| 2017-04-20T07:00:00Z | 1 | 1 |
| 2017-04-20T08:00:00Z | 2 | 2 |
| 2017-04-20T09:00:00Z | 2 | 2 |
| 2017-04-20T10:00:00Z | 2 | 2 |
| 2017-04-20T11:00:00Z | 3 | 3 |
| 2017-04-20T12:00:00Z | 2 | 2 |
| 2017-04-20T13:00:00Z | 2 | 2 |
| 2017-04-20T14:00:00Z | 2 | 2 |
| 2017-04-20T15:00:00Z | 3 | 2 |
| 2017-04-20T16:00:00Z | 3 | 2 |
| 2017-04-20T17:00:00Z | 3 | 1 |
| 2017-04-20T18:00:00Z | 1 | 1 |
| 2017-04-20T19:00:00Z | 1 | 1 |
| 2017-04-20T20:00:00Z | 1 | 1 |
| 2017-04-20T21:00:00Z | 1 | 1 |
| 2017-04-20T22:00:00Z | 2 | 2 |
| 2017-04-20T23:00:00Z | 2 | 2 |
| 2017-04-21T00:00:00Z | 1 | 1 |
| 2017-04-21T01:00:00Z | 1 | 1 |
| 2017-04-21T02:00:00Z | 1 | 1 |
-------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost | Time |
-------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 14 | 364 | 7 | 00:00:01 |
| 1 | SORT GROUP BY | | 14 | 364 | 7 | 00:00:01 |
| 2 | VIEW | VW_DAG_0 | 14 | 364 | 7 | 00:00:01 |
| 3 | HASH GROUP BY | | 14 | 364 | 7 | 00:00:01 |
| 4 | VIEW | | 14 | 364 | 6 | 00:00:01 |
| 5 | UNION ALL (RECURSIVE WITH) BREADTH FIRST | | | | | |
| 6 | TABLE ACCESS FULL | WEB_SESSION | 7 | 245 | 3 | 00:00:01 |
| * 7 | RECURSIVE WITH PUMP | | | | | |
-------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
------------------------------------------
* 7 - filter("DURATION">0)
Note
-----
- dynamic sampling used for this statement
SELECT t.COLUMN_VALUE AS hour,
COUNT( session_id ) AS active_sessions,
COUNT( DISTINCT user_name ) AS distinct_users
FROM web_session w
CROSS JOIN
TABLE(
CAST(
MULTISET(
SELECT TRUNC( w.start_date, 'HH24' ) + ( LEVEL - 1 ) / 24
FROM DUAL
CONNECT BY TRUNC( w.start_date, 'HH24' ) + ( LEVEL - 1 ) / 24 < w.stop_date
) AS SYS.ODCIDATELIST
)
) t
GROUP BY t.COLUMN_VALUE
ORDER BY hour
| HOUR | ACTIVE_SESSIONS | DISTINCT_USERS |
|----------------------|-----------------|----------------|
| 2017-04-19T23:00:00Z | 1 | 1 |
| 2017-04-20T00:00:00Z | 1 | 1 |
| 2017-04-20T01:00:00Z | 1 | 1 |
| 2017-04-20T07:00:00Z | 1 | 1 |
| 2017-04-20T08:00:00Z | 2 | 2 |
| 2017-04-20T09:00:00Z | 2 | 2 |
| 2017-04-20T10:00:00Z | 2 | 2 |
| 2017-04-20T11:00:00Z | 3 | 3 |
| 2017-04-20T12:00:00Z | 2 | 2 |
| 2017-04-20T13:00:00Z | 2 | 2 |
| 2017-04-20T14:00:00Z | 2 | 2 |
| 2017-04-20T15:00:00Z | 3 | 2 |
| 2017-04-20T16:00:00Z | 3 | 2 |
| 2017-04-20T17:00:00Z | 3 | 1 |
| 2017-04-20T18:00:00Z | 1 | 1 |
| 2017-04-20T19:00:00Z | 1 | 1 |
| 2017-04-20T20:00:00Z | 1 | 1 |
| 2017-04-20T21:00:00Z | 1 | 1 |
| 2017-04-20T22:00:00Z | 2 | 2 |
| 2017-04-20T23:00:00Z | 2 | 2 |
| 2017-04-21T00:00:00Z | 1 | 1 |
| 2017-04-21T01:00:00Z | 1 | 1 |
| 2017-04-21T02:00:00Z | 1 | 1 |
--------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost | Time |
--------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 57176 | 2115512 | 200 | 00:00:03 |
| 1 | SORT GROUP BY | | 57176 | 2115512 | 200 | 00:00:03 |
| 2 | NESTED LOOPS | | 57176 | 2115512 | 195 | 00:00:03 |
| 3 | TABLE ACCESS FULL | WEB_SESSION | 7 | 245 | 3 | 00:00:01 |
| 4 | COLLECTION ITERATOR SUBQUERY FETCH | | 8168 | 16336 | 27 | 00:00:01 |
| * 5 | CONNECT BY WITHOUT FILTERING | | | | | |
| 6 | FAST DUAL | | 1 | | 2 | 00:00:01 |
--------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
------------------------------------------
* 5 - filter(TRUNC(:B1,'fmhh24')+(LEVEL-1)/24<:B2)
Note
-----
- dynamic sampling used for this statement