Count distinct combinations

I have a table which has 3 columns a, b, c
there could be duplicates in a/b/c.
I want to count the total number of distinct combinations of a, b, c using a select query (i.e. the result of the select query should be the count). How do I do this?

Look, Elic, for all practical purposes count(*) is equivalent to sum(1). Therefore:
1. Argument to the count doesn't make any sense
2. count aggregate function is redundant
Browse any mathematical book. Do you see any count symbols in it? Nope. Only sigmas (summation) and occasional pi's (multiplication). OK, even more infrequently lattice joins (maximum) and meets (minimum).

Similar Messages

Grand Total on Count Distinct - Crosstab

Hello
I use Discoverer 9.0.2.39.01.
On a crosstab layout: the data point is a count distinct item ,
I use Grand total at bottom and also Grand total at right.
Both totals are displayed correct but the cell combining between them is blank.
The join between the two tables is one to one and I use NVL on the count distinct item. how can I overcome the problem and cuase th blank cell to display the result of both totals?

I'd just reiterate a couple of things to try.
1. reverse the join - I realize you mentioned it seems to work for simple total, but this has to be one of the most popular errors
2. check for NULLs in the data (ie: to_number(NVL(item, '0')), etc.
If still not working, then logically, what would be causing a count of distinct items not to display (ie: NULL would explain it as I would think the COUNT would screw up with not knowing how to handle a NULL).
By why count(item) would work and count_distinct(item) wouldn't is an interesting problem.
Russ

Totals for Count Distinct

I need to display totals for Count Distinct measures. I want to display these above a table view.
We have done this before by creating hidden columns with level-based measures for totals and then displaying the first row of these hidden columns in a narrative view above the table. We have also used MAX(RSUM()) within requests, sometimes.
These solutions won't work, because I need Count Distinct() measures (so simple sums and counts will give inaccurate results) and I may navigate to the request with filters at different levels (so LBMs won't work, either).
The only solution I can think of is to have LBMs for each level and have duplicate dashboards that differ only in which variation of this request with which level's LBMs are displayed for the totals. That seems like too much of a kluge. There should be a simpler, better way to do this.

I was trying to reproduce your issue with "Sample Sales" - but can't figure out which columns you'd like to see. Can you please post couple columns - and which count distinct you need? That would make it easier to reproduce the issue.
I was thinking that it might be difficult to pull it in 1 report (since you can't completely exclude columns in table view). I have two suggestions:
a) did you try to create a separate report and combine it with existing one (same Dashboard page)?
b) did you try Pivot Table and its calculated column feature? I've had some success with it when I needed to combine measures at different levels on the same report (i needed to see daily totals for 3 specific days, monthly values for specific months, and couple annual totals). This way you could have it on the same report.
I just tried A. And it worked (again, not sure if this is applicable to your situation). I used "Server Complex Aggregate" in column options. The formula is showing: SELECT "D5 Employee"."E01 Employee Name" saw_0, COUNT(DISTINCT "D1 Customer"."C1 Cust Name") saw_1 FROM "Sample Sales" ORDER BY saw_0
Edited by: wildmight on Oct 30, 2009 9:35 AM

Selecting distinct combination of records

Hi Expart ,
I have table fields like function ,tcode,objects,fields,from ,to ,user like that in which except user all r primary key fields but i want Number of unique Function-Tcode-Object combinations when select the data.
i am doing like that
SELECT COUNT( distinct FUNCTIONID TCODE OBJECT)
FROM /PSYNG/FUNCTTRAN
INTO L_FUN_TCD_OB
WHERE VRSIO = P_VRSIN.
but it will give an error
plz help me to get no of this combination of records .
Thanks in advance .
Tsen

hi
u can write code like this
SELECT distinct FUNCTIONID TCODE OBJECT
FROM /PSYNG/FUNCTTRAN
INTO table it_L_FUN_TCD_OB
WHERE VRSIO = P_VRSIN.
data: var type sy-tabix.
describe table it_L_FUN_TCD_OB lines var.
L_FUN_TCD_OB = var.
refresh it_L_FUN_TCD_OB.
Regards
Sajid

Count distinct aggregation in CWM2

Hi,
Is there any way to make a count distinct aggregation with a CWM2 model?
I mean, for the documentation example (geography, product, channel and time dimensions), I would like to show in a graph the sum of the sales measure and the number of different products, for the different filter selections made.
E.g.:
Page items: geography dim, time dim.
Groups: Measures (sales measure, ¿number of different products?)
Series: channel dim.
I know that the unique possible aggregation in CWM2 model is SUM, so I think it can't be done with an aggregation. Can anyone suggest me a workaround to do this? Is it possible within an analytical workspace?
Thanks in advanced...

Hi Nagarajan,
1. have to count distinct records from one internal ta
first of all u have to decide
which FIELD COMBINATION makes a record unique.
2. After that u can use the abap syntax
   delete adjacent duplicates (see documention/help)
    (before this make sure to SORT the internal table
    in the same sequence of FIELD COMBINATION)
3. then u can use
   describe table itab.
4. Before doing step 2,
   u can copy the whole internal table to another internal table
and do your logic on the second internal table
so that the original is not lost.
u can copylike this.
   ITAB2[]   = ITAB1[].
Hope it helps.
Regards,
Amit M.
Message was edited by: Amit Mittal

COUNT(DISTINCT) on multiple columns?

Is there an easier way of doing a COUNT(DISTINCT...) on multiple items than converting them to strings and concatenating them?
i.e. if I have a table with column string1 as VARCHAR2(1000), number2 as NUMBER, and date3 as DATE, and I want a count on how many distinct combinations of the three exist, is there a better way than:
SELECT COUNT(DISTINCT string1 || TO_CHAR(number2) || TO_CHAR(date3, 'YYYYMMDD'))-- Don

Hi,
Why not a group by?
SQL> ed
Wrote file afiedt.buf
1 with t as
2 (
3 select 'string1' string1, 1 number1, to_date('10-NOV-2009','DD-MON-YYYY') date1 from dual
4 union all select 'string2',1,to_date('10-NOV-2009','DD-MON-YYYY') from dual
5 union all select 'string1',1,to_date('11-NOV-2009','DD-MON-YYYY') from dual
6 union all select 'string1',2,to_date('11-NOV-2009','DD-MON-YYYY') from dual
7 union all select 'string2',1,to_date('10-NOV-2009','DD-MON-YYYY') from dual
8 )
9 select string1, number1, date1 from t
10* group by string1, number1, date1
SQL> /
STRING1    NUMBER1 DATE1
string1          1 11-NOV-09
string2          1 10-NOV-09
string1          1 10-NOV-09
string1          2 11-NOV-09
SQL> ed
Wrote file afiedt.buf
1 with t as
2 (
3 select 'string1' string1, 1 number1, to_date('10-NOV-2009','DD-MON-YYYY') date1 from dual
4 union all select 'string2',1,to_date('10-NOV-2009','DD-MON-YYYY') from dual
5 union all select 'string1',1,to_date('11-NOV-2009','DD-MON-YYYY') from dual
6 union all select 'string1',2,to_date('11-NOV-2009','DD-MON-YYYY') from dual
7 union all select 'string2',1,to_date('10-NOV-2009','DD-MON-YYYY') from dual
8 )
9 select string1, number1, date1 from t
10 group by string1, number1, date1
11* having count(*) > 1
SQL> /
STRING1    NUMBER1 DATE1
string2          1 10-NOV-09-Arun

Count distinct from a master table and sum from a detail

Hello to all,
I have a query like as:
         select a,b,c,     SUM(fa.ip1) S1, SUM(fa.ip2)   S2
         FROM tab1 FI, tab2 FA
         where fi.x1 = fa.x1
         and fi.x2 = fa.x2
         group by    a,b,c;
tab1's table is master table for tab2's table (one tab1 records there are   many tab2 records), (one to many relation)
My question is, how can I get to sum of columns: ip1 and ip2 from tab2 Fa, with only count(how many) of rows of tab1?
Somethings similar to;
Select a,b,c, count(distinct fi.x1, fi.x2 ) nrec_of_FI,   SUM(fa.ip1)S1, SUM(fa.ip2)   S2
Thanks in advance

Hi,
Sorry, I can't tell what you want just by looking at code that does not do it.
Whenever you have a problem, please post a little sample data (CREATE TABLE and INSERT statements, relevant columns only) from all tables involved, so that the people who want to help you can re-create the problem and test their ideas.
Also post the results you want from that data, and an explanation of how you get those results from that data, with specific examples.
Always say which version of Oracle you're using (for example, 11.2.0.2.0).
See the forum FAQ: https://forums.oracle.com/message/9362002
Perhaps you want to get the totals in 2 stages, like this:
WITH five_column_totals AS
    select    a, b, c
    ,         fi.x1, fi.x2       -- For debugging only
    ,         SUM (fa.ip1)   AS prelim_S1
    ,         SUM (fa.ip2)   AS prelim_S2
    FROM      tab1 FI
    ,         tab2 FA
    where     fi.x1 = fa.x1
    and       fi.x2 = fa.x2
    group by a, b, c
    ,         f1.x1, f2.x2
SELECT    a, b, c
,         COUNT (*)             AS nrec_of_f1
,         SUM (prelim_s1)       AS s1
,         SUM (prelim_s2)       AS s2
FROM      five_column_totals
GROUP BY a, b, c
Notice that the sub-query called five_column_totals is essentially what you posted, except that there fi.x1 and fi.x2 are included in the GROUP BY clause. That means the sub-query will hve a separate row for each distinct combination of x1 and x2, which you can COUNT in the main query, GROUPing only BY a, b and c.

How to display the count distinct in a report

hi,
i have a report with multiple columns in it and with column, say A; i need to display in a calculated column B how many distinct values there are in A across the entire report; how to do that?

Hi.
For example:
CALENDAR_YEAR
CALENDAR_MONTH_DESC
count(distinct TIMES.CALENDAR_MONTH_DESC by TIMES.CALENDAR_YEAR)
Count will give you how many distinct months are in year.
Regards
Goran
http://108obiee.blogspot.com

Performance problem with more than one COUNT(DISTINCT ...) in a query

Hi,
(I hope this is the good forum).
In the following query, I have 2 Count Distinct on 2 different fields of the same table. Execution time is okay (2 s) with one or the other COUNT(DISCTINCT ...) in the SELECT clause, but is not tolerable (12 s) with both together in the query! I have
a similar case with 3 counts: 4 s each, 36 s when together!
I've looked at the execution plan, and it seems that with two count distinct, SQL server sorts the table twice before joining the results.
I do not have much experience with SQL server optimization, and I don't know what to improve and how. The SQL is generated by Business Objects, I have few possibilities to tune it. The most direct way would be to execute 2 different queries, but I'd like
to avoid it.
Any advice?
SELECT
DIM_MOIS.DATE_DEBUT_MOIS,
DIM_MOIS.NUM_ANNEE_MOIS,
DIM_DEMANDE_SCD.CAT_DEMANDE,
DIM_APPLICATION.LIB_APPLICATION,
DIM_DEMANDE_SCD.CAT_DEMANDE ,
count(distinct FAITS_DEMANDE.NB_DEMANDE_FLUX),
count(distinct FAITS_DEMANDE.NB_DEMANDE_RESOL_NIV1)
FROM
ALIM_SID.DIM_MOIS INNER JOIN ALIM_SID.DIM_JOUR ON (DIM_JOUR.SEQ_MOIS=DIM_MOIS.SEQ_MOIS)
   INNER JOIN ALIM_SID.FAITS_DEMANDE ON (FAITS_DEMANDE.SEQ_JOUR=DIM_JOUR.SEQ_JOUR)
   INNER JOIN ALIM_SID.DIM_APPLICATION ON (FAITS_DEMANDE.SEQ_APPLICATION=DIM_APPLICATION.SEQ_APPLICATION)
   INNER JOIN ALIM_SID.DIM_DEMANDE_SCD ON (FAITS_DEMANDE.SEQ_DEMANDE_SCD=DIM_DEMANDE_SCD.SEQ_DEMANDE_SCD)
WHERE
( ( DIM_MOIS.NUM_ANNEE_MOIS ) >201301
GROUP BY
DIM_MOIS.DATE_DEBUT_MOIS,
DIM_MOIS.NUM_ANNEE_MOIS,
DIM_DEMANDE_SCD.CAT_DEMANDE,
DIM_APPLICATION.LIB_APPLICATION

Here is the script, nothing original. Hope this helps.
-- Fact table :
-- foreign keys begin by FK_,
-- measures to counted (COUNT DISTINCT) begin with NB_
CREATE TABLE [ALIM_SID].[FAITS_DEMANDE](
   [SEQ_JOUR] [int] NOT NULL,
   [SEQ_DEMANDE] [int] NOT NULL,
   [SEQ_DEMANDE_SCD] [int] NOT NULL,
   [SEQ_APPLICATION] [int] NOT NULL,
   [SEQ_INTERVENANT] [int] NOT NULL,
   [SEQ_SERVICE_RESPONSABLE] [int] NOT NULL,
   [NB_DEMANDE_FLUX] [int] NULL,
   [NB_DEMANDE_STOCK] [int] NULL,
   [NB_DEMANDE_RESOLUE] [int] NULL,
   [NB_DEMANDE_LIVREE] [int] NULL,
   [NB_DEMANDE_MEP] [int] NULL,
   [NB_DEMANDE_RESOL_NIV1] [int] NULL,
CONSTRAINT [PK_FAITS_DEMANDE] PRIMARY KEY CLUSTERED
   [SEQ_JOUR] ASC,
   [SEQ_DEMANDE] ASC,
   [SEQ_DEMANDE_SCD] ASC,
   [SEQ_APPLICATION] ASC,
   [SEQ_INTERVENANT] ASC,
   [SEQ_SERVICE_RESPONSABLE] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY],
CONSTRAINT [AK_AK_FAITS_DEMANDE_FAITS_DE] UNIQUE NONCLUSTERED
   [SEQ_JOUR] ASC,
   [SEQ_DEMANDE] ASC,
   [SEQ_DEMANDE_SCD] ASC,
   [SEQ_APPLICATION] ASC,
   [SEQ_INTERVENANT] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] WITH CHECK ADD CONSTRAINT [FK_FAITS_DEMANDE_DIM_APPLICATION] FOREIGN KEY([SEQ_APPLICATION])
REFERENCES [ALIM_SID].[DIM_APPLICATION] ([SEQ_APPLICATION])
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] CHECK CONSTRAINT [FK_FAITS_DEMANDE_DIM_APPLICATION]
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] WITH CHECK ADD CONSTRAINT [FK_FAITS_DEMANDE_DIM_DEMANDE] FOREIGN KEY([SEQ_DEMANDE])
REFERENCES [ALIM_SID].[DIM_DEMANDE] ([SEQ_DEMANDE])
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] CHECK CONSTRAINT [FK_FAITS_DEMANDE_DIM_DEMANDE]
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] WITH CHECK ADD CONSTRAINT [FK_FAITS_DEMANDE_DIM_DEMANDE_SCD] FOREIGN KEY([SEQ_DEMANDE_SCD])
REFERENCES [ALIM_SID].[DIM_DEMANDE_SCD] ([SEQ_DEMANDE_SCD])
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] CHECK CONSTRAINT [FK_FAITS_DEMANDE_DIM_DEMANDE_SCD]
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] WITH CHECK ADD CONSTRAINT [FK_FAITS_DEMANDE_DIM_INTERVENANT] FOREIGN KEY([SEQ_INTERVENANT])
REFERENCES [ALIM_SID].[DIM_INTERVENANT] ([SEQ_INTERVENANT])
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] CHECK CONSTRAINT [FK_FAITS_DEMANDE_DIM_INTERVENANT]
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] WITH CHECK ADD CONSTRAINT [FK_FAITS_DEMANDE_DIM_JOUR] FOREIGN KEY([SEQ_JOUR])
REFERENCES [ALIM_SID].[DIM_JOUR] ([SEQ_JOUR])
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] CHECK CONSTRAINT [FK_FAITS_DEMANDE_DIM_JOUR]
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] WITH CHECK ADD CONSTRAINT [FK_FAITS_DEMANDE_DIM_SERVICE_RESPONSABLE] FOREIGN KEY([SEQ_SERVICE_RESPONSABLE])
REFERENCES [ALIM_SID].[DIM_SERVICE] ([SEQ_SERVICE])
GO
ALTER TABLE [ALIM_SID].[FAITS_DEMANDE] CHECK CONSTRAINT [FK_FAITS_DEMANDE_DIM_SERVICE_RESPONSABLE]
GO
-- not shown : extended properties
-- One of the dimension tables (they all have a primary key named SEQ_)
CREATE TABLE [ALIM_SID].[DIM_JOUR](
   [SEQ_JOUR] [int] IDENTITY(1,1) NOT NULL,
   [SEQ_ANNEE] [int] NOT NULL,
   [SEQ_MOIS] [int] NOT NULL,
   [DATE_JOUR] [date] NULL,
   [CODE_ANNEE] [varchar](25) NULL,
   [CODE_MOIS] [varchar](25) NULL,
   [CODE_SEMAINE_ISO] [varchar](25) NULL,
   [CODE_JOUR_ANNEE] [varchar](25) NULL,
   [CODE_ANNEE_JOUR] [varchar](25) NULL,
   [LIB_JOUR] [varchar](25) NULL,
   [LIB_JOUR_COURT] [varchar](25) NULL,
   [JOUR_OUVRE] [tinyint] NULL,
   [JOUR_CHOME] [tinyint] NULL,
CONSTRAINT [PK_DIM_JOUR] PRIMARY KEY CLUSTERED
   [SEQ_JOUR] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
ALTER TABLE [ALIM_SID].[DIM_JOUR] WITH CHECK ADD CONSTRAINT [FK_DIM_JOUR_DIM_ANNEE] FOREIGN KEY([SEQ_ANNEE])
REFERENCES [ALIM_SID].[DIM_ANNEE] ([SEQ_ANNEE])
GO
ALTER TABLE [ALIM_SID].[DIM_JOUR] CHECK CONSTRAINT [FK_DIM_JOUR_DIM_ANNEE]
GO
ALTER TABLE [ALIM_SID].[DIM_JOUR] WITH CHECK ADD CONSTRAINT [FK_DIM_JOUR_DIM_MOIS] FOREIGN KEY([SEQ_MOIS])
REFERENCES [ALIM_SID].[DIM_MOIS] ([SEQ_MOIS])
GO
ALTER TABLE [ALIM_SID].[DIM_JOUR] CHECK CONSTRAINT [FK_DIM_JOUR_DIM_MOIS]
GO

Count distinct in case statement

SELECT A.P_ID,
B.P_NAME,
C.P_DESC,
SUM(CASE
WHEN A.DATE BETWEEN TRUNC(ADD_MONTHS(LAST_DAY(SYSDATE),-4) + 1) AND ADD_MONTHS(LAST_DAY(TO_DATE(SYSDATE)),-1)
AND A.M_ID IS NOT NULL
THEN 1
ELSE 0
END) AS COUNT,
SUM(CASE
WHEN A.DATE BETWEEN TRUNC(ADD_MONTHS(LAST_DAY(SYSDATE),-4) + 1) AND ADD_MONTHS(LAST_DAY(TO_DATE(SYSDATE)),-1)
AND A.M_ID IS NOT NULL
THEN COUNT(DISTINCT A.M_ID)
ELSE 0
END) AS UNIQUE_COUNT, /* Not possible */
SUM(CASE
WHEN A.DATE BETWEEN TRUNC(SYSDATE,'YEAR') AND ADD_MONTHS(LAST_DAY(TO_DATE(SYSDATE)),-1)
THEN A.AMT_1
ELSE 0
END) AS TOTAL_AMT_1,
SUM(CASE
WHEN A.DATE BETWEEN TRUNC(SYSDATE,'YEAR') AND ADD_MONTHS(LAST_DAY(TO_DATE(SYSDATE)),-1)
THEN A.AMT_2
ELSE 0
END) AS TOTAL_AMT_2
FROM TABLE_A A,
TABLE_B B,
TABLE_C C
WHERE A.P_ID = B.P_ID
AND B.PT_ID = C.PT_ID
GROUP BY A.P_ID,
B.P_NAME,
C.P_DESC
Hi,
This is a simplified version of my query.
I am trying to do 4 things here,
1. count A.M_ID
2. count distinct A.M_ID, this is where I have a problem.
3. and 4. Its just the sum from 2 diff columns.
Note that the dates for count and amt are different and I can't hard code them.
Can any one help me in the distinct count step?
This query is also running kinda slow.
So any suggestions, comments are very welcome.
Note: TABLE_A has 700 million recs, TABLE_B 4 million and TABLE_c is just 500 recs
Thanks!

Taking advantage of the fact that most aggregate functions ignore nulls, you could do something like:
SELECT a.p_id, b.p_name, c.p_desc,
       COUNT(CASE WHEN a.date BETWEEN TRUNC(ADD_MONTHS(LAST_DAY(sysdate),-4) + 1) AND
                                      ADD_MONTHS(LAST_DAY(TO_DATE(sysdate)),-1) AND
                       a.m_id IS NOT NULL THEN m_id END) AS countall,
       COUNT(DISTINCT CASE WHEN a.date BETWEEN TRUNC(ADD_MONTHS(LAST_DAY(sysdate),-4) + 1) AND
                                    ADD_MONTHS(LAST_DAY(TO_DATE(sysdate)),-1) AND
                     a.m_id IS NOT NULL THEN a.m_id END) AS unique_count, /* entirely possible */
       SUM(CASE WHEN a.date BETWEEN TRUNC(sysdate,'YEAR') AND
                                    ADD_MONTHS(LAST_DAY(TO_DATE(sysdate)),-1) THEN a.amt_1
                ELSE 0 END) AS total_amt_1,
       SUM(CASE WHEN A.DATE BETWEEN TRUNC(sysdate,'YEAR') AND
                                    ADD_MONTHS(LAST_DAY(TO_DATE(sysdate)),-1) THEN A.AMT_2
                ELSE 0 END) AS TOTAL_AMT_2
FROM table_a a, table_b b, table_c c
WHERE a.p_id = b.p_id and
      b.pt_id = c.pt_id
GROUP BY a.p_id, b.p_name, c.p_descThe two case statements inside the COUNT return either a.m_id or NULL. A simplified test case is:
SQL> WITH t as (
2     SELECT 1 m_id, 9 dt FROM dual UNION ALL
3     SELECT 1 m_id, 6 dt FROM dual UNION ALL
4     SELECT 2 m_id, 9 dt FROM dual UNION ALL
5     SELECT 2 m_id, 6 dt FROM dual UNION ALL
6     SELECT 1 m_id, 5 dt FROM dual UNION ALL
7     SELECT 2 m_id, 5 dt FROM dual UNION ALL
8     SELECT null m_id, 9 dt FROM dual)
9 SELECT count(CASE WHEN dt BETWEEN 6 and 9 THEN m_id end) cid,
10         count(distinct CASE WHEN dt BETWEEN 6 and 9 THEN m_id end) cdid
11 FROM t;
       CID       CDID
         4          2I'm not entirely sure that you actually need the a.m_id IS NOT NULL predicate in the CASE statements, but I left it to be safe.
John

Select count distinct

Hi, Anybody can help !
I have problem with select count distinct.
example :
select distinct custid from order_h
total result : 141 rows selected.
but :
select count(distinct custid) from order_h
result :
COUNT(DISTINCTCUSTID)
140
Why the total difference, for listing 141 but for count 140 ?
Is my statement wrong ? How to use count and distinct ?
Thank's

Look here..
http://download-uk.oracle.com/docs/cd/B19306_01/server.102/b14200/functions032.htm#i82697
Bye
Acr

COUNT(DISTINCT) WITH ORDER BY in an analytic function

-- I create a table with three fields: Name, Amount, and a Trans_Date.
CREATE TABLE TEST
NAME VARCHAR2(19) NULL,
AMOUNT VARCHAR2(8) NULL,
TRANS_DATE DATE NULL
-- I insert a few rows into my table:
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '110', TO_DATE('06/01/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '20', TO_DATE('06/01/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '110', TO_DATE('06/02/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '21', TO_DATE('06/03/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '68', TO_DATE('06/04/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '110', TO_DATE('06/05/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '20', TO_DATE('06/06/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Bill', '43', TO_DATE('06/01/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Bill', '77', TO_DATE('06/02/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Bill', '221', TO_DATE('06/03/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Bill', '43', TO_DATE('06/04/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Bill', '73', TO_DATE('06/05/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
commit;
/* I want to retrieve all the distinct count of amount for every row in an analytic function with COUNT(DISTINCT AMOUNT) sorted by name and ordered by trans_date where I get only calculate for the last four trans_date for each row (i.e., for the row "Anna 110 6/5/2005 8:00:00.000 PM," I only want to look at the previous dates from 6/2/2005 to 6/5/2005 and get the distinct count of how many amounts there are different for Anna). Note, I cannot use the DISTINCT keyword in this query because it doesn't work with the ORDER BY */
select NAME, AMOUNT, TRANS_DATE, COUNT(/*DISTINCT*/ AMOUNT) over ( partition by NAME
order by TRANS_DATE range between numtodsinterval(3,'day') preceding and current row ) as COUNT_AMOUNT
from TEST t;
This is the results I get if I just count all the AMOUNT without using distinct:
NAME     AMOUNT     TRANS_DATE     COUNT_AMOUNT
Anna 110 6/1/2005 8:00:00.000 PM     2
Anna 20 6/1/2005 8:00:00.000 PM     2
Anna 110     6/2/2005 8:00:00.000 PM     3
Anna 21     6/3/2005 8:00:00.000 PM     4
Anna 68     6/4/2005 8:00:00.000 PM     5
Anna 110     6/5/2005 8:00:00.000 PM     4
Anna 20     6/6/2005 8:00:00.000 PM     4
Bill 43     6/1/2005 8:00:00.000 PM     1
Bill 77     6/2/2005 8:00:00.000 PM     2
Bill 221     6/3/2005 8:00:00.000 PM     3
Bill 43     6/4/2005 8:00:00.000 PM     4
Bill 73     6/5/2005 8:00:00.000 PM     4
The COUNT_DISTINCT_AMOUNT is the desired output:
NAME     AMOUNT     TRANS_DATE     COUNT_DISTINCT_AMOUNT
Anna     110     6/1/2005 8:00:00.000 PM     1
Anna     20     6/1/2005 8:00:00.000 PM     2
Anna     110     6/2/2005 8:00:00.000 PM     2
Anna     21     6/3/2005 8:00:00.000 PM     3
Anna     68     6/4/2005 8:00:00.000 PM     4
Anna     110     6/5/2005 8:00:00.000 PM     3
Anna     20     6/6/2005 8:00:00.000 PM     4
Bill     43     6/1/2005 8:00:00.000 PM     1
Bill     77     6/2/2005 8:00:00.000 PM     2
Bill     221     6/3/2005 8:00:00.000 PM     3
Bill     43     6/4/2005 8:00:00.000 PM     3
Bill     73     6/5/2005 8:00:00.000 PM     4
Thanks in advance.

you can try to write your own udag.
here is a fake example, just to show how it "could" work. I am here using only 1,2,4,8,16,32 as potential values.
create or replace type CountDistinctType as object
   bitor_number number,
   static function ODCIAggregateInitialize(sctx IN OUT CountDistinctType)
     return number,
   member function ODCIAggregateIterate(self IN OUT CountDistinctType,
     value IN number) return number,
   member function ODCIAggregateTerminate(self IN CountDistinctType,
     returnValue OUT number, flags IN number) return number,
    member function ODCIAggregateMerge(self IN OUT CountDistinctType,
      ctx2 IN CountDistinctType) return number
create or replace type body CountDistinctType is
static function ODCIAggregateInitialize(sctx IN OUT CountDistinctType)
return number is
begin
   sctx := CountDistinctType('');
   return ODCIConst.Success;
end;
member function ODCIAggregateIterate(self IN OUT CountDistinctType, value IN number)
return number is
begin
    if (self.bitor_number is null) then
      self.bitor_number := value;
    else
      self.bitor_number := self.bitor_number+value-bitand(self.bitor_number,value);
    end if;
    return ODCIConst.Success;
end;
member function ODCIAggregateTerminate(self IN CountDistinctType, returnValue OUT
number, flags IN number) return number is
begin
    returnValue := 0;
    for i in 0..log(2,self.bitor_number) loop
      if (bitand(power(2,i),self.bitor_number)!=0) then
        returnValue := returnValue+1;
      end if;
    end loop;
    return ODCIConst.Success;
end;
member function ODCIAggregateMerge(self IN OUT CountDistinctType, ctx2 IN
CountDistinctType) return number is
begin
    return ODCIConst.Success;
end;
end;
CREATE or REPLACE FUNCTION CountDistinct (n number) RETURN number
PARALLEL_ENABLE AGGREGATE USING CountDistinctType;
drop table t;
create table t as select rownum r, power(2,trunc(dbms_random.value(0,6))) p from all_objects;
SQL> select r,p,countdistinct(p) over (order by r) d from t where rownum<10 order by r;
         R          P          D
         1          4          1
         2          1          2
         3          8          3
         4         32          4
         5          1          4
         6         16          5
         7         16          5
         8          4          5
         9          4          5buy some good book if you want to start at writting your own "distinct" algorythm.
Message was edited by:
Laurent Schneider
a simpler but memory killer algorithm would use a plsql table in an udag and do the count(distinct) over that table to return the value

"group by" slow for using "count(distinct some_column)" - a better way?

Hi all,
i have an
select
count(distinct some_column),
from [...]
group by [...];
Which is slowed down for the "*count(distinct some_column)*".
The "group by" aggregates base records.
But the base records have 1:n for some #1 event #n records each.
Some of the #n records fall into group by result record (A), some other into group by result record (B).
But each shall only count +1 per event - disregarding how many of the #n record have fallen into that category.
Is there another (faster) way to count for this?
- thanks!
best regards,
Frank
Edited by: user8704911 on Jun 29, 2011 1:30 AM

Hi Dom,
incidentally i went in the direction you proposed:
I replaced the pl/sql collection with the global temporary table.
But the reason for doing this was a different one:
I recognized, that the group by is much faster, if applied on table or global temporary table.
However i first just moved the data from pl/sql collection to global temporary table in order to apply the group by there.
Then the group by is much faster - but the moving of data from pl/sql collection to global temporary table then took away the time.
So it was not the group by, but in general the read-access to the pl/sql collection (btw, around #65,000 records).
Now having completely replaced the pl/sql collection with global temporary table everything is fine.
cheers,
Frank

Count Distinct over a Window

Hi everyone,
An analyst on my team heard of a new metric called a "Stickiness" metric. It basically measures how often users are coming to your website overtime.
The definition is as follows:
# Unique Users Today/#Unique users Over Last 7 days
and also
# Unique Users Today/#Unique users Over Last 30 days
We have visit information stored in a table W_WEB_VISIT_F. For the sake of simplicity say it has columns VISIT_ID, VISIT_DATE and USER_ID (there are several more dimensional columns it has but I want to keep this exercise simple).
I want to create an aggregate table called W_WEB_VISIT_A that pre-aggregates the three values I need per day: # Unique Users Today, #Unique users Over Last 7 days and #Unique users Over Last 30 days. The only way I can think of building the aggregate table is as follows
WITH AGG AS (
SELECT
VISIT_DATE,
USER_ID
FROM W_WEB_VISIT_F
GROUP BY
VISIT_DATE,
USER_ID
select
VISIT_DATE
COUNT(DISTINCT USER_ID) UNIQUE_TODAY,
(select count(distinct hist.USER_ID) from agg hist where hist.VISIT_DATE between src.VISIT_DATE - 6 and src.VISIT_DATE) SEVEN_DAYS,
(select count(distinct hist.USER_ID) from agg hist where hist.VISIT_DATE between src.VISIT_DATE - 29 and src.VISIT_DATE) THIRTY_DAYS
from agg
group by visit_date
The problem I am having is that W_WEB_VISIT_F has several million records in it and I can't get it the above query to complete. It ran over night and didn't complete.
Is there a fancy 11g function I can use to do this for me? Is there a more efficient method?
Thanks everyone for the help!
-Joe
Edited by: user9208525 on Jan 13, 2011 6:24 AM
You guys are right. I missed the group by I had in the WITH Clause.

Hi,
Haven't used the windowing clause a lot, so I wanted to give a try.
I made up some data with this query :create table t as select sysdate-dbms_random.value(0,10) visit_date, mod(level,5)+1 user_id
from dual
connect by level <= 20;Which gave me following rows :Scott@my10g SQL>select * from t order by visit_date;
VISIT_DATE             USER_ID
03/01/2011 13:17:10          1
04/01/2011 05:30:30          4
04/01/2011 08:08:13          5
04/01/2011 14:42:24          3
04/01/2011 20:20:58          3
05/01/2011 17:29:24          2
05/01/2011 17:40:20          4
05/01/2011 18:32:56          2
06/01/2011 04:12:53          5
06/01/2011 08:59:18          2
06/01/2011 09:04:26          3
06/01/2011 10:14:20          1
06/01/2011 14:22:54          1
06/01/2011 19:39:04          1
08/01/2011 14:44:18          5
08/01/2011 21:38:04          5
11/01/2011 04:56:05          4
11/01/2011 18:52:29          2
11/01/2011 23:57:30          4
13/01/2011 07:24:22          3
20 rows selected.I came up to that query :select
        v.*,
        case
                when unq_l3d is null then -1
                else trunc(unq_today/unq_l3d,2)
        end ratio
from (
        select distinct trcdt, unq_today, unq_l3d
        from (
                select
                trcdt,
                count(user_id)
                over (
                        order by trcdt
                        range between numtodsinterval(1,'DAY') preceding and current row
                ) unq_today,
                count(user_id)
                over (
                        order by trcdt
                        range between numtodsinterval(3,'DAY') preceding and current row
                ) unq_l3d
                from (
                        select distinct trunc(visit_date) trcdt, user_id from t
) v
order by trcdtWith my sample data, it gives me :TRCDT                UNQ_TODAY    UNQ_L3D RATIO
03/01/2011 00:00:00          1          1 1.00
04/01/2011 00:00:00          4          4 1.00
05/01/2011 00:00:00          5          6 0.83
06/01/2011 00:00:00          6         10 0.60
08/01/2011 00:00:00          1          7 0.14
11/01/2011 00:00:00          2          3 0.66
13/01/2011 00:00:00          1          3 0.33
7 rows selected.where :
- UNQ_TODAY is the number of distinct user_id in the day
- UNQ_L3D is the number of distinct user_id in the last 3 days
- RATIO is UNQ_TODAY divided by UNQ_L3D +(when UNQ_L3D is not zero)+
It seems quite correct, but you would have to modify the query to fit to your needs and double-check the results !
Just noticed that my query is all wrong*... must have been missing coffeine, or sleep.... but I'm still trying !
Edited by: Nicosa on Jan 13, 2011 5:29 PM

Set Aggregation type of Count Distinct to use correct table aggregation in

Hi there,
Currently I use OBIEE 10.1.3.4.1 , and there is a case where a fact table consist of 2 logical table source: detail and aggregate table, which has some measure using count distinct as aggregation type. The problem is everytime I browse the measure with no dimension at all , it always use detail table not aggegation one..
Really appreciate for any suggestion ..
thanks a lot

Hi,
I don't think it's the same case as mine. Let say I have 2 table : detail and aggegate
Detail Table consists 4 fields:
*) Period
*) Market
*) Region
*) Measure : Customer ID, Sales
Aggregate Table consists 3 fields :
*) Period
*) Region
*) Measure : Customer ID, Sales
in the measure I set aggregation type for each field:
*) Sales >> set as Sum
*) Customer ID >> copy as "Number of Customer" and set as Count Distinct
In each LTS' contents I set the level of aggregation using "Get Levels" feature..
Then I try to browse via Presentation and do some querys belows:
a) only choose single field of measure : Sales, the session shows that the value is taken from aggregation table and just as I expected.
b) choose period and sales, the session shows that the values are taken from aggregation table, and still just as I expected.
c) choose period, sales , and market, the session shows that the values are taken from detail table, just as I expected.
d) only choose single field of measure : "Number of Customer", the session shows that the value is taken from detail table , this is NOT as I expected. It suppose to take the value from aggregation table..
e) choose period and "Number of Customer", the session shows that the value is taken from detail table , this is also NOT as I expected. It suppose to take the value from aggregation table..
I've tried to override the aggregation , but still confuse how to apply in measure "Number of Customer" and did not work at all..
any idea ?
thanks a lot

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