Count distinct values current group

Hi--
Is there a way to count the distinct values within the current group? ie--i've got a PO and want to display all the addresses at the shipment level if there is more than one distinct one, but if they are all the same as the header-level address, then I don't want any of them to show up.
I'm using the following at the header level to tell the header not to show up if there are multiple shipment level addresses, but can't seem to get a similar statement to work when it's sitting at the same level as the group that I want to count.
This is what I use at the header--it seems to work:
<?if:count(xdoxslt:distinct_values(PLL_SHIP_ADDRESS_LINE1))>1?>See Details Below<?end if?><?if:count(xdoxslt:distinct_values(PLL_SHIP_ADDRESS_LINE1))=1?>
POH_SHIP_ADDRESS_LINE1POH_SHIP_ADDRESS_LINE1
POH_SHIP_ADDRESS_LINE2
POH_SHIP_ADDRESS_LINE3
POH_SHIP_ADR_INFO POH_SHIP_COUNTRY<?end if?>
A really simplified version of the structure of the report is below:
<?xml version="1.0" ?>
- 
- <SMTPOXPRPOP2>
- <LIST_G_INIT_INFO>
- <G_INIT_INFO>
<MANUAL_PO_NUM_TYPE>NUMERIC</MANUAL_PO_NUM_TYPE>
<C_COMPANY>CompanyName</C_COMPANY>
- <LIST_G_HEADERS>
- <G_HEADERS>
<POH_PO_NUM>310001100</POH_PO_NUM>
- <LIST_G_LINES>
- <G_LINES>
<POL_VENDOR_PROD_NUM>12q</POL_VENDOR_PROD_NUM>
<POL_ITEM_DESCRIPTION>sample</POL_ITEM_DESCRIPTION>
<POL_QUANTITY_TO_PRINT>10</POL_QUANTITY_TO_PRINT>
- <LIST_G_SHIPMENTS>
- <G_SHIPMENTS>
<PLL_SHIP_COUNTRY>Canada</PLL_SHIP_COUNTRY>
<PLL_SHIP_ADR_INFO>Calg,AB Zip</PLL_SHIP_ADR_INFO>
<PLL_SHIP_ADDRESS_LINE3 />
<PLL_SHIP_ADDRESS_LINE2 />
<PLL_SHIP_ADDRESS_LINE1>Ad1</PLL_SHIP_ADDRESS_LINE1>
</G_SHIPMENTS>
</G_SHIPMENTS> <PLL_SHIP_COUNTRY>Canada</PLL_SHIP_COUNTRY>
<PLL_SHIP_ADR_INFO>Calg,AB Zip</PLL_SHIP_ADR_INFO>
<PLL_SHIP_ADDRESS_LINE3 />
<PLL_SHIP_ADDRESS_LINE2 />
<PLL_SHIP_ADDRESS_LINE1>Ad1</PLL_SHIP_ADDRESS_LINE1>
</G_SHIPMENTS>
</G_LINES>
<POH_SHIP_ADDRESS_LINE2 />
<POH_SHIP_COUNTRY>Canada</POH_SHIP_COUNTRY>
<POH_SHIP_ADR_INFO>Kanata,ON K2V 0A2</POH_SHIP_ADR_INFO>
<POH_SHIP_ADDRESS_LINE3 />
<POH_SHIP_ADDRESS_LINE1>XXX Palladium Drive</POH_SHIP_ADDRESS_LINE1>
</G_HEADERS>
</LIST_G_HEADERS>
</SMTPOXPRPOP2>
Could anyone help out with this?
Thanks--I'd really appreciate it!
Kate

Hi Vetsrini--
Thanks for getting back to me so quickly! I'd love to email you a copy and the XML if you wouldn't mind taking a look. it'll probably be more clear than me trying to explain.
I can't quite figure out how to do that, though---your profile doesn't list an email. Do I need to click elsewhere?
Thanks!
Kate

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Hi, experts!
I generate Cross-tab report using RTF Tamlpate and I have problem with grouping.
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http://img156.imageshack.us/img156/3997/xmlstructureay9.jpg
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http://img156.imageshack.us/img156/4253/fieldbrowserxb7.jpg
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
=======================
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How to count distinct excluding a value in business layer?

Hi all,
I'm having a column which has many values. I need to make this is as a measure with count distinct aggregator. But i should not count 0 in the column. How can i do this. If i try to use any condition means the aggregator option is disables. Please help
Thanks

Look this example:
I made in BMM in the SALES fact table measure:
Count_Distinct_Prod_Id_Exclude_Prod_Id_144
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Make this measure like this:
1. New object/Logical column
2. Go to data type tab and click EDIT on the logical table table source
3. Now, in the general tab add join to a table (in my case PRODUCTS)
4. Go to the column mapping tab -> show unmapped columns
5. In the new column (in my case Count_Distinct_Prod_Id_Exclude_Prod_Id_144) write code like similar:
CASE WHEN "orcl".""."SH"."PRODUCTS"."PROD_ID" = 144 THEN NULL ELSE "orcl".""."SH"."PRODUCTS"."PROD_ID" END
6. Click OK and close the logical table source window
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9. Test in Answers (report cointains columns as follow)
PROD_CATEGORY_ID
Count_Distinct_Prod_Id_Exclude_Prod_Id_144
And the result in the NQQuery.log is:
select T21473.PROD_CATEGORY_ID as c1,
count(distinct case when T21473.PROD_ID = 144 then NULL else T21473.PROD_ID end ) as c2
from
PRODUCTS T21473
group by T21473.PROD_CATEGORY_ID
order by c1
Regards
Goran
http://108obiee.blogspot.com

Count all values with a special WHERE clause in a select for a group?

Hello,
I have the following table1:
code, month, value
*1,1,40*
*1,2,50*
*1,3,0*
*1,4,0*
*1,5,20*
*1,6,30*
*1,7,30*
*1,8,30*
*1,9,20*
*1,10,20*
*1,11,0*
*1,12,0*
*2,1,10*
*2,2,10*
*2,3,20*
*2,4,20*
*2,5,20*
*2,6,30*
*2,7,40*
*2,8,50*
*2,9,20*
*2,10,20*
*2,11,20*
*2,12,20*
This is a table with 3 columns, first column is a code, second one is the number of month, third one is a value.
Now I want to select the records for each code. For example all records for code=1.
I want to count how much values=0 for this code=1. After this counting I want to update the value with this count of 0.
For my example:
For code 1 there are 4 fields with value 0. Therefore I want to update all values of code1 to 4.
For the second code=2 there are no value=0. Therefore I want to update the values of code2 to 0.
This should be the result:
code, month, value
*1,1,4*
*1,2,4*
*1,3,4*
*1,4,4*
*1,5,4*
*1,6,4*
*1,7,4*
*1,8,4*
*1,9,4*
*1,10,4*
*1,11,4*
*1,12,4*
*2,1,0*
*2,2,0*
*2,3,0*
*2,4,0*
*2,5,0*
*2,6,0*
*2,7,0*
*2,8,0*
*2,9,0*
*2,10,0*
*2,11,0*
*2,12,0*
My question is:
Is there any possibility in oracle to count in a select (or in a insert/update statement) all values=0 for one group (in this example named CODE) and do an update in the same statement for this group?
Hope anyone can give me a hint if this is possible?
Thanks a lot.
Best regards,
Tim

Here's the select:
SQL> select code, month
2        ,count(decode(value,0,1,null)) over (partition by code) ct
3 from   t
4 order by code, month
5 ;
                CODE                MONTH                   CT
                   1                    1                    4
                   1                    2                    4
                   1                    3                    4
                   1                    4                    4
                   1                    5                    4
                   1                    6                    4
                   1                    7                    4
                   1                    8                    4
                   1                    9                    4
                   1                   10                    4
                   1                   11                    4
                   1                   12                    4
                   2                    1                    0
                   2                    2                    0
                   2                    3                    0
                   2                    4                    0
                   2                    5                    0
                   2                    6                    0
                   2                    7                    0
                   2                    8                    0
                   2                    9                    0
                   2                   10                    0
                   2                   11                    0
                   2                   12                    0

Distinct count inside a measure group with other measures

Hello,
I have 1 distinct count inside a measure group with other measures, sum, count etc. I know this is not recommended due to poor processing performance and query response time.
Processing performance I can live with if it means not having another measure group, which increases processing time anyway.
I have used the recommended approach before and it generated many questions about what this second measure group is for (visible via excel), even though I made the distinct count appear in the main measure group via a calculated measure.
(it would be nice if you could hide measure groups)
However my question is: is query response time only effected when the distinct count is used in the query? Or is query response time effected regardless if the distinct count is used or not??
Below is an extract from the 2005 distinct count optimizer white paper. It’s not completely clear but I assume if effects queries regardless if distinct count is used or not?
"By adding other measures to the measure group holding a distinct count measure, all of the other measures will be at the same granularity as the distinct count measure, resulting in inefficient data structures and suboptimal
queries."

You might also be interested in reading this blog post, which deals with a similar scenario, to get a feeling for some of the things that might be going on behind the scenes:
http://cwebbbi.wordpress.com/2012/11/27/storage-engine-caching-measures-and-measure-groups/
Chris
Check out my MS BI blog I also do
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and run public SQL Server and BI training courses in the UK

"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

Group by count distinct

mytable
id | yy
1 | 78
2 | 78
3 | 78
3 | 79
3 | 79
4 | 79
5 | 79
5 | 80
Desired output:
yy | id_count
78 | 3
79 | 2
80 | 0
Following query doesn't work, as it doesn't take into account that id was already counted
select yy, count(distinct id) as id_count
from mytable
group by yy
--output
yy | id_count
78 | 3
79 | 4
80 | 1
Hope this makes sense.
Ideas?

Hi,
You only want to count each id once, with the first (that is, lowest) yy: is that right?
Here's one way:
WITH     got_r_num    AS
     SELECT id
     ,     yy
     ,     ROW_NUMBER () OVER ( PARTITION BY id
                               ORDER BY         yy
                       ) AS r_num
     FROM    my_table
SELECT       yy
       COUNT ( CASE
                  WHEN r_num = 1
                THEN id
              END
          )     AS id_cnt
FROM       got_r_num
GROUP BY yy
ORDER BY yy
;Doing anything for the first of each id is probably a job for "ROW_NUMBER () OVER (PARTITION BY id ...)".

Count number of distinct values for a column for all tables that contains that column

Imagine I have one Column called cdperson. With the query below I know which Tables have column cdperson
select
t.[name]fromsys.schemassinnerjoin
sys.tables
tons.schema_id=t.schema_idinnerjoin
sys.columnscont.object_id=c.object_idinnerjoin
sys.types
donc.user_type_id=d.user_type_idwherec.name ='cdperson'
now I want to know for each table, how many distinct values of cdperson I have and I want the result ordered by the table that has more distinct values (descending)
Table1
   cdperson                        select distinct(cdperson) = 10
   cdadress
   quant
Table2 with
   cdaddress                      (no column cdperson in this table)
   quant
Table3
   cdperson                        select distinct(cdperson) = 100
   value
Table 4
   cdperson                        select distinct(cdperson) = 18
   sum
I want this result ordered by number of distinct cdperson
table3   100
table4   18
table    10
Thks for your answers

I had to add schema name to the above script to make it work in AdventureWorks:
CREATE TABLE #temp(TableName sysname , CNT BIGINT)
DECLARE @QRY NVARCHAR(MAX);
SET @qry=(SELECT
N'INSERT INTO #TEMP SELECT '''+schema_name(t.schema_id)+'.'+T.[name] +''' AS TableName, COUNT (DISTINCT ProductID) DistCount FROM '+
schema_name(t.schema_id)+'.'+t.[name] +';'
FROM sys.schemas s INNER JOIN sys.tables t ON s.schema_id=t.SCHEMA_ID
INNER JOIN sys.columns c ON t.object_id=c.object_id INNER JOIN sys.types d ON c.user_type_id=d.user_type_id
WHERE c.name ='ProductID'
FOR XML PATH(''))
EXEC(@QRY)
SELECT * FROM #temp ORDER BY TableName
DROP TABLE #temp
Production.Product 504
Production.ProductCostHistory 293
Production.ProductDocument 31
Production.ProductInventory 432
Production.ProductListPriceHistory 293
Production.ProductProductPhoto 504
Production.ProductReview 3
Production.TransactionHistory 441
Production.TransactionHistoryArchive 497
Production.WorkOrder 238
Production.WorkOrderRouting 149
Purchasing.ProductVendor 211
Purchasing.PurchaseOrderDetail 211
Sales.SalesOrderDetail 266
Sales.ShoppingCartItem 3
Sales.SpecialOfferProduct 295
Kalman Toth Database & OLAP Architect
SQL Server 2014 Database Design
New Book / Kindle: Beginner Database Design & SQL Programming Using Microsoft SQL Server 2014

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

"median count" in a single group by query

Hallo following problem:
i use a single group by query to analyze a data table.
like "select avg(parameter1), sum(parameter2), count(case when...end) from datatable where ....".
Following problem: I want a median of a count without rewriting the query completely, accessing the table several times or something.
Easy example - in Detail:
Create table and fill with example data
Connected to:
Oracle Database 10g Enterprise Edition Release 10.2.0.4.0 - 64bit Production
With the Partitioning, OLAP, Data Mining and Real Application Testing options
SQL> CREATE TABLE datatable
2 (
3    SLOT NUMBER
4 , DATA NUMBER
5 );
Table created.
SQL> INSERT INTO datatable VALUES (1,1);
1 row created.
SQL> INSERT INTO datatable VALUES (1,2);
1 row created.
SQL> INSERT INTO datatable VALUES (1,3);
1 row created.
SQL> INSERT INTO datatable VALUES (1,4);
1 row created.
SQL> INSERT INTO datatable VALUES (1,5);
1 row created.
SQL> INSERT INTO datatable VALUES (2,1);
1 row created.
SQL> INSERT INTO datatable VALUES (3,1);
1 row created.
SQL> INSERT INTO datatable VALUES (3,2);
1 row created.
SQL> INSERT INTO datatable VALUES (3,3);
1 row created.
SQL> INSERT INTO datatable VALUES (3,4);
1 row created.
SQL> INSERT INTO datatable VALUES (3,5);
1 row created.
SQL> INSERT INTO datatable VALUES (4,1);
1 row created.
SQL> INSERT INTO datatable VALUES (4,2);
1 row created.
SQL> INSERT INTO datatable VALUES (4,3);
1 row created.
SQL> INSERT INTO datatable VALUES (4,4);
1 row created.
SQL> INSERT INTO datatable VALUES (4,5);
1 row created.
SQL> INSERT INTO datatable VALUES (5,1);
1 row created.
SQL> INSERT INTO datatable VALUES (5,2);
1 row created.
SQL> INSERT INTO datatable VALUES (5,3);
1 row created.
SQL> INSERT INTO datatable VALUES (5,4);
1 row created.
SQL> INSERT INTO datatable VALUES (5,5);
1 row created.In the table there are several items (here slots) with a for each slot unique data-value.
I want to have the median count of data values, to filter out slots with more or less values.
this worked, until there where only slots with less data:
SQL> SELECT FLOOR(COUNT(DISTINCT SLOT||DATA)/COUNT(DISTINCT DATA)) FROM datatabl
e;
FLOOR(COUNT(DISTINCTSLOT||DATA)/COUNT(DISTINCTDATA))
                                                   4but when there is a slot having more data - it won't work, the very simple and stupid calculation will give a too little value
SQL>
SQL> INSERT INTO datatable VALUES (4,6);
1 row created.
SQL>
SQL> SELECT FLOOR(COUNT(DISTINCT SLOT||DATA)/COUNT(DISTINCT DATA)) FROM datatabl
e;
FLOOR(COUNT(DISTINCTSLOT||DATA)/COUNT(DISTINCTDATA))
                                                   3so what i would need is this:
SQL>
SQL> SELECT MEDIAN(count(DISTINCT SLOT) over (partition by DATA)) FROM datatable
SELECT MEDIAN(count(DISTINCT SLOT) over (partition by DATA)) FROM datatable
ERROR at line 1:
ORA-30483: window functions are not allowed hereIn detail:
the count delivers the distinct count of slots for each data (possible duplicated entrys should not be counted)
And I want the median, which should be 4.
SQL> SELECT count(DISTINCT SLOT) over (partition by DATA) FROM datatable;
COUNT(DISTINCTSLOT)OVER(PARTITIONBYDATA)
                                       5
                                       5
                                       5
                                       5
                                       5
                                       4
                                       4
                                       4
                                       4
                                       4
                                       4
                                       4
                                       4
                                       4
                                       4
                                       4
                                       4
                                       4
                                       4
                                       4
                                       4
COUNT(DISTINCTSLOT)OVER(PARTITIONBYDATA)
                                       1
22 rows selected.Is it -anyhow- possible to do this without rebuilding the whole query?
Thanks a lot

ok, an example:
CREATE TABLE "DATATABLE"
   (     "TOOL" CHAR(5 BYTE),
     "SLOT" NUMBER,
     "LOTID" CHAR(4 BYTE),
     "STEP" VARCHAR2(44 BYTE),
     "ENDTIME" DATE,
     "PARAMETER1" NUMBER,
     "PARAMETER6" NUMBER
Insert into DATATABLE values ('TOOL1',-1,'LOT1','STEP1',to_timestamp('02-FEB-12 03.09.42 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',-1,'LOT1','STEP2',to_timestamp('02-FEB-12 03.18.47 PM','DD-MON-RR HH.MI.SS AM'),42,0);
Insert into DATATABLE values ('TOOL1',-1,'LOT1','STEP3',to_timestamp('02-FEB-12 03.09.44 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',-1,'LOT1','STEP4',to_timestamp('02-FEB-12 02.20.38 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',-1,'LOT1','STEP5',to_timestamp('02-FEB-12 02.20.35 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT1','STEP1',to_timestamp('02-FEB-12 01.51.28 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',1,'LOT1','STEP2',to_timestamp('02-FEB-12 01.52.40 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT1','STEP3',to_timestamp('02-FEB-12 01.54.20 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT1','STEP4',to_timestamp('02-FEB-12 01.55.32 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT1','STEP5',to_timestamp('02-FEB-12 01.56.36 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',2,'LOT1','STEP1',to_timestamp('02-FEB-12 01.52.41 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',3,'LOT1','STEP1',to_timestamp('02-FEB-12 02.00.29 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',3,'LOT1','STEP2',to_timestamp('02-FEB-12 02.01.43 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',3,'LOT1','STEP3',to_timestamp('02-FEB-12 02.03.23 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',3,'LOT1','STEP4',to_timestamp('02-FEB-12 02.04.34 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',3,'LOT1','STEP5',to_timestamp('02-FEB-12 02.05.40 PM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',4,'LOT1','STEP1',to_timestamp('02-FEB-12 02.02.11 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',4,'LOT1','STEP2',to_timestamp('02-FEB-12 02.03.26 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',4,'LOT1','STEP3',to_timestamp('02-FEB-12 02.05.07 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',4,'LOT1','STEP4',to_timestamp('02-FEB-12 02.06.19 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',4,'LOT1','STEP5',to_timestamp('02-FEB-12 02.07.27 PM','DD-MON-RR HH.MI.SS AM'),20,0);
Insert into DATATABLE values ('TOOL1',5,'LOT1','STEP1',to_timestamp('02-FEB-12 02.03.54 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',5,'LOT1','STEP2',to_timestamp('02-FEB-12 02.05.08 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',5,'LOT1','STEP3',to_timestamp('02-FEB-12 02.06.49 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',5,'LOT1','STEP4',to_timestamp('02-FEB-12 02.08.01 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',5,'LOT1','STEP5',to_timestamp('02-FEB-12 02.14.26 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',6,'LOT1','STEP1',to_timestamp('02-FEB-12 02.05.35 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',6,'LOT1','STEP2',to_timestamp('02-FEB-12 02.06.50 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',6,'LOT1','STEP3',to_timestamp('02-FEB-12 02.15.14 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',6,'LOT1','STEP4',to_timestamp('02-FEB-12 02.16.26 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',6,'LOT1','STEP5',to_timestamp('02-FEB-12 02.17.31 PM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',7,'LOT1','STEP1',to_timestamp('02-FEB-12 02.06.42 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',8,'LOT1','STEP1',to_timestamp('02-FEB-12 02.14.14 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',8,'LOT1','STEP2',to_timestamp('02-FEB-12 02.15.29 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',8,'LOT1','STEP3',to_timestamp('02-FEB-12 02.17.09 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',8,'LOT1','STEP4',to_timestamp('02-FEB-12 02.18.22 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',8,'LOT1','STEP5',to_timestamp('02-FEB-12 02.23.31 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',9,'LOT1','STEP1',to_timestamp('02-FEB-12 02.58.14 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',9,'LOT1','STEP2',to_timestamp('02-FEB-12 02.15.32 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',9,'LOT1','STEP3',to_timestamp('02-FEB-12 02.59.30 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',9,'LOT1','STEP4',to_timestamp('02-FEB-12 03.01.15 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',9,'LOT1','STEP5',to_timestamp('02-FEB-12 03.07.52 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT1','STEP1',to_timestamp('02-FEB-12 02.23.20 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',10,'LOT1','STEP2',to_timestamp('02-FEB-12 02.24.39 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT1','STEP3',to_timestamp('02-FEB-12 02.26.19 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT1','STEP4',to_timestamp('02-FEB-12 02.27.30 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT1','STEP5',to_timestamp('02-FEB-12 02.28.34 PM','DD-MON-RR HH.MI.SS AM'),17,0);
Insert into DATATABLE values ('TOOL1',11,'LOT1','STEP1',to_timestamp('02-FEB-12 02.59.37 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',11,'LOT1','STEP2',to_timestamp('02-FEB-12 03.10.51 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',11,'LOT1','STEP3',to_timestamp('02-FEB-12 02.24.52 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',11,'LOT1','STEP4',to_timestamp('02-FEB-12 03.12.03 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',11,'LOT1','STEP5',to_timestamp('02-FEB-12 03.13.41 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT1','STEP1',to_timestamp('02-FEB-12 02.32.30 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',12,'LOT1','STEP2',to_timestamp('02-FEB-12 02.33.43 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT1','STEP3',to_timestamp('02-FEB-12 02.35.24 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT1','STEP4',to_timestamp('02-FEB-12 02.36.35 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT1','STEP5',to_timestamp('02-FEB-12 02.37.41 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',13,'LOT1','STEP1',to_timestamp('02-FEB-12 02.34.11 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',13,'LOT1','STEP2',to_timestamp('02-FEB-12 02.35.26 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',13,'LOT1','STEP3',to_timestamp('02-FEB-12 02.37.06 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',13,'LOT1','STEP4',to_timestamp('02-FEB-12 02.38.19 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',13,'LOT1','STEP5',to_timestamp('02-FEB-12 02.39.29 PM','DD-MON-RR HH.MI.SS AM'),17,0);
Insert into DATATABLE values ('TOOL1',14,'LOT1','STEP1',to_timestamp('02-FEB-12 02.35.54 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',14,'LOT1','STEP2',to_timestamp('02-FEB-12 02.37.08 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',14,'LOT1','STEP3',to_timestamp('02-FEB-12 02.38.48 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',14,'LOT1','STEP4',to_timestamp('02-FEB-12 02.40.01 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',14,'LOT1','STEP5',to_timestamp('02-FEB-12 02.41.13 PM','DD-MON-RR HH.MI.SS AM'),13,0);
Insert into DATATABLE values ('TOOL1',15,'LOT1','STEP1',to_timestamp('02-FEB-12 02.37.37 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',15,'LOT1','STEP2',to_timestamp('02-FEB-12 02.38.52 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',15,'LOT1','STEP3',to_timestamp('02-FEB-12 02.40.33 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',15,'LOT1','STEP4',to_timestamp('02-FEB-12 02.41.46 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',15,'LOT1','STEP5',to_timestamp('02-FEB-12 02.42.58 PM','DD-MON-RR HH.MI.SS AM'),17,0);
Insert into DATATABLE values ('TOOL1',16,'LOT1','STEP1',to_timestamp('02-FEB-12 02.39.20 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',16,'LOT1','STEP2',to_timestamp('02-FEB-12 02.40.34 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',16,'LOT1','STEP3',to_timestamp('02-FEB-12 02.42.16 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',16,'LOT1','STEP4',to_timestamp('02-FEB-12 02.43.29 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',16,'LOT1','STEP5',to_timestamp('02-FEB-12 02.44.42 PM','DD-MON-RR HH.MI.SS AM'),15,0);
Insert into DATATABLE values ('TOOL1',17,'LOT1','STEP1',to_timestamp('02-FEB-12 02.41.04 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',17,'LOT1','STEP2',to_timestamp('02-FEB-12 02.42.19 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',17,'LOT1','STEP3',to_timestamp('02-FEB-12 02.43.59 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',17,'LOT1','STEP4',to_timestamp('02-FEB-12 02.45.13 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',17,'LOT1','STEP5',to_timestamp('02-FEB-12 02.46.26 PM','DD-MON-RR HH.MI.SS AM'),13,0);
Insert into DATATABLE values ('TOOL1',18,'LOT1','STEP1',to_timestamp('02-FEB-12 02.42.49 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',18,'LOT1','STEP2',to_timestamp('02-FEB-12 02.44.03 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',18,'LOT1','STEP3',to_timestamp('02-FEB-12 02.45.44 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',18,'LOT1','STEP4',to_timestamp('02-FEB-12 02.47.01 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',18,'LOT1','STEP5',to_timestamp('02-FEB-12 02.48.10 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',19,'LOT1','STEP1',to_timestamp('02-FEB-12 02.44.33 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',19,'LOT1','STEP2',to_timestamp('02-FEB-12 02.45.47 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',19,'LOT1','STEP3',to_timestamp('02-FEB-12 02.47.31 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',19,'LOT1','STEP4',to_timestamp('02-FEB-12 02.48.45 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',19,'LOT1','STEP5',to_timestamp('02-FEB-12 02.49.58 PM','DD-MON-RR HH.MI.SS AM'),14,0);
Insert into DATATABLE values ('TOOL1',20,'LOT1','STEP1',to_timestamp('02-FEB-12 02.46.17 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',20,'LOT1','STEP2',to_timestamp('02-FEB-12 02.47.31 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',20,'LOT1','STEP3',to_timestamp('02-FEB-12 02.49.16 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',20,'LOT1','STEP4',to_timestamp('02-FEB-12 02.50.31 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',20,'LOT1','STEP5',to_timestamp('02-FEB-12 02.51.42 PM','DD-MON-RR HH.MI.SS AM'),14,0);
Insert into DATATABLE values ('TOOL1',21,'LOT1','STEP1',to_timestamp('02-FEB-12 02.48.01 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',21,'LOT1','STEP2',to_timestamp('02-FEB-12 02.49.16 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',21,'LOT1','STEP3',to_timestamp('02-FEB-12 02.51.02 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',21,'LOT1','STEP4',to_timestamp('02-FEB-12 02.52.16 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',21,'LOT1','STEP5',to_timestamp('02-FEB-12 02.55.04 PM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',22,'LOT1','STEP1',to_timestamp('02-FEB-12 02.49.48 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',22,'LOT1','STEP2',to_timestamp('02-FEB-12 02.51.02 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',22,'LOT1','STEP3',to_timestamp('02-FEB-12 02.52.47 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',22,'LOT1','STEP4',to_timestamp('02-FEB-12 02.55.39 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',22,'LOT1','STEP5',to_timestamp('02-FEB-12 02.56.45 PM','DD-MON-RR HH.MI.SS AM'),15,0);
Insert into DATATABLE values ('TOOL1',23,'LOT1','STEP1',to_timestamp('02-FEB-12 02.51.33 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',23,'LOT1','STEP2',to_timestamp('02-FEB-12 02.52.48 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',23,'LOT1','STEP3',to_timestamp('02-FEB-12 02.56.11 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',23,'LOT1','STEP4',to_timestamp('02-FEB-12 02.57.23 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',23,'LOT1','STEP5',to_timestamp('02-FEB-12 02.58.29 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',24,'LOT1','STEP1',to_timestamp('02-FEB-12 02.53.18 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',24,'LOT1','STEP2',to_timestamp('02-FEB-12 02.56.00 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',24,'LOT1','STEP3',to_timestamp('02-FEB-12 02.57.53 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',24,'LOT1','STEP4',to_timestamp('02-FEB-12 02.59.05 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',24,'LOT1','STEP5',to_timestamp('02-FEB-12 03.00.12 PM','DD-MON-RR HH.MI.SS AM'),17,0);
Insert into DATATABLE values ('TOOL1',25,'LOT1','STEP1',to_timestamp('02-FEB-12 02.56.29 PM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',25,'LOT1','STEP2',to_timestamp('02-FEB-12 02.57.44 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',25,'LOT1','STEP3',to_timestamp('02-FEB-12 02.59.35 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',25,'LOT1','STEP4',to_timestamp('02-FEB-12 03.00.46 PM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',25,'LOT1','STEP5',to_timestamp('02-FEB-12 03.07.19 PM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',-1,'LOT2','STEP1',to_timestamp('24-FEB-12 03.19.26 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT2','STEP1',to_timestamp('24-FEB-12 03.00.47 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT2','STEP2',to_timestamp('24-FEB-12 03.02.56 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',1,'LOT2','STEP3',to_timestamp('24-FEB-12 03.03.56 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',2,'LOT2','STEP1',to_timestamp('24-FEB-12 03.02.22 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',2,'LOT2','STEP2',to_timestamp('24-FEB-12 03.05.06 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',2,'LOT2','STEP3',to_timestamp('24-FEB-12 03.06.06 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',3,'LOT2','STEP1',to_timestamp('24-FEB-12 03.03.56 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',3,'LOT2','STEP2',to_timestamp('24-FEB-12 03.07.15 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',3,'LOT2','STEP3',to_timestamp('24-FEB-12 03.13.53 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',4,'LOT2','STEP1',to_timestamp('24-FEB-12 03.05.54 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',4,'LOT2','STEP2',to_timestamp('24-FEB-12 03.15.03 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',4,'LOT2','STEP3',to_timestamp('24-FEB-12 03.16.04 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',5,'LOT2','STEP1',to_timestamp('24-FEB-12 03.05.58 AM','DD-MON-RR HH.MI.SS AM'),0,0);
Insert into DATATABLE values ('TOOL1',5,'LOT2','STEP2',to_timestamp('24-FEB-12 03.25.35 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',5,'LOT2','STEP3',to_timestamp('24-FEB-12 03.29.56 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',5,'LOT2','STEP4',to_timestamp('24-FEB-12 03.30.57 AM','DD-MON-RR HH.MI.SS AM'),16,0);
Insert into DATATABLE values ('TOOL1',6,'LOT2','STEP1',to_timestamp('24-FEB-12 03.14.18 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',6,'LOT2','STEP2',to_timestamp('24-FEB-12 03.17.13 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',6,'LOT2','STEP3',to_timestamp('24-FEB-12 03.19.55 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',7,'LOT2','STEP1',to_timestamp('24-FEB-12 03.15.51 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',7,'LOT2','STEP2',to_timestamp('24-FEB-12 03.21.18 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',7,'LOT2','STEP3',to_timestamp('24-FEB-12 03.22.19 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',8,'LOT2','STEP1',to_timestamp('24-FEB-12 03.17.50 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',8,'LOT2','STEP2',to_timestamp('24-FEB-12 03.23.28 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',8,'LOT2','STEP3',to_timestamp('24-FEB-12 03.24.29 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',9,'LOT2','STEP1',to_timestamp('24-FEB-12 03.21.42 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',9,'LOT2','STEP2',to_timestamp('24-FEB-12 03.25.37 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',9,'LOT2','STEP3',to_timestamp('24-FEB-12 03.26.38 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',10,'LOT2','STEP1',to_timestamp('24-FEB-12 03.23.25 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT2','STEP2',to_timestamp('24-FEB-12 03.27.47 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',10,'LOT2','STEP3',to_timestamp('24-FEB-12 03.28.47 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',11,'LOT2','STEP1',to_timestamp('24-FEB-12 03.27.44 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',11,'LOT2','STEP2',to_timestamp('24-FEB-12 03.32.06 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',11,'LOT2','STEP3',to_timestamp('24-FEB-12 03.33.07 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',12,'LOT2','STEP1',to_timestamp('24-FEB-12 03.29.54 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT2','STEP2',to_timestamp('24-FEB-12 03.34.16 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',12,'LOT2','STEP3',to_timestamp('24-FEB-12 03.35.17 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',13,'LOT2','STEP1',to_timestamp('24-FEB-12 03.32.04 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',13,'LOT2','STEP2',to_timestamp('24-FEB-12 03.36.26 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',13,'LOT2','STEP3',to_timestamp('24-FEB-12 03.37.27 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',14,'LOT2','STEP1',to_timestamp('24-FEB-12 03.34.14 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',14,'LOT2','STEP2',to_timestamp('24-FEB-12 03.38.36 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',14,'LOT2','STEP3',to_timestamp('24-FEB-12 03.39.37 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',15,'LOT2','STEP1',to_timestamp('24-FEB-12 03.36.24 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',15,'LOT2','STEP2',to_timestamp('24-FEB-12 03.40.46 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',15,'LOT2','STEP3',to_timestamp('24-FEB-12 03.41.46 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',16,'LOT2','STEP1',to_timestamp('24-FEB-12 03.38.34 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',16,'LOT2','STEP2',to_timestamp('24-FEB-12 03.42.55 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',16,'LOT2','STEP3',to_timestamp('24-FEB-12 03.43.56 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',17,'LOT2','STEP1',to_timestamp('24-FEB-12 03.40.43 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',17,'LOT2','STEP2',to_timestamp('24-FEB-12 03.45.05 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',17,'LOT2','STEP3',to_timestamp('24-FEB-12 03.46.06 AM','DD-MON-RR HH.MI.SS AM'),17,0);
Insert into DATATABLE values ('TOOL1',18,'LOT2','STEP1',to_timestamp('24-FEB-12 03.42.53 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',18,'LOT2','STEP2',to_timestamp('24-FEB-12 03.47.15 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',18,'LOT2','STEP3',to_timestamp('24-FEB-12 03.48.16 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',19,'LOT2','STEP1',to_timestamp('24-FEB-12 03.45.03 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',19,'LOT2','STEP2',to_timestamp('24-FEB-12 03.49.25 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',19,'LOT2','STEP3',to_timestamp('24-FEB-12 03.50.26 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',20,'LOT2','STEP1',to_timestamp('24-FEB-12 03.47.13 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',20,'LOT2','STEP2',to_timestamp('24-FEB-12 03.51.34 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',20,'LOT2','STEP3',to_timestamp('24-FEB-12 03.52.35 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',21,'LOT2','STEP1',to_timestamp('24-FEB-12 03.49.22 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',21,'LOT2','STEP2',to_timestamp('24-FEB-12 03.53.44 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',21,'LOT2','STEP3',to_timestamp('24-FEB-12 03.54.45 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',22,'LOT2','STEP1',to_timestamp('24-FEB-12 03.51.32 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',22,'LOT2','STEP2',to_timestamp('24-FEB-12 03.55.54 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',22,'LOT2','STEP3',to_timestamp('24-FEB-12 03.56.55 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',23,'LOT2','STEP1',to_timestamp('24-FEB-12 03.53.42 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',23,'LOT2','STEP2',to_timestamp('24-FEB-12 03.58.03 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',23,'LOT2','STEP3',to_timestamp('24-FEB-12 03.59.04 AM','DD-MON-RR HH.MI.SS AM'),19,0);
Insert into DATATABLE values ('TOOL1',24,'LOT2','STEP1',to_timestamp('24-FEB-12 03.55.51 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',24,'LOT2','STEP2',to_timestamp('24-FEB-12 04.00.14 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',24,'LOT2','STEP3',to_timestamp('24-FEB-12 04.01.15 AM','DD-MON-RR HH.MI.SS AM'),18,0);
Insert into DATATABLE values ('TOOL1',25,'LOT2','STEP1',to_timestamp('24-FEB-12 03.58.01 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',25,'LOT2','STEP2',to_timestamp('24-FEB-12 04.02.23 AM','DD-MON-RR HH.MI.SS AM'),1,0);
Insert into DATATABLE values ('TOOL1',25,'LOT2','STEP3',to_timestamp('24-FEB-12 04.03.24 AM','DD-MON-RR HH.MI.SS AM'),18,0);(code generated by sqldeveloper)
In the example:
LOT1 has two slot, with only 1 step instead of 5 --> these slots should not be counted --> result 23
LOT2 has one slot, with 4 instead of 3 --> this slot is ok and should be counted --> result 25
as previously mentioned, i want to count all slots, which got at least the median amount of steps [edit: slot -1 should also not be counted]
LOT1:
    SELECT
      sum(CASE WHEN SLOT != -1 THEN parameter1 END) parameter1,
      min(CASE WHEN SLOT != -1 THEN EndTime END) first_time,
      max(CASE WHEN SLOT != -1 THEN EndTime END) last_time,
      sum(CASE WHEN SLOT != -1 THEN parameter6 END) parameter6,
      CASE WHEN count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT END) > 0 AND ROUND(count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT||STEP END)/count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT END)) > 0 THEN FLOOR(count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT||STEP END)/ROUND(count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT||STEP END)/count(DISTINCT CASE WHEN SLOT != -1 THEN SLOT END))) ELSE NULL END num_slots,
      sum(CASE WHEN SLOT = -1 THEN parameter1 END) minusone_parameter1,
      min(CASE WHEN SLOT = -1 THEN EndTime END) minusone_first_time,
      max(CASE WHEN SLOT = -1 THEN EndTime END) minusone_last_time,
      sum(CASE WHEN SLOT = -1 THEN parameter6 END) minusone_parameter6,
      count(CASE WHEN SLOT = -1 THEN 1 END) num_minusone
    FROM
      datatable
WHERE
    tool = 'TOOL1'
    AND lotid = 'LOT1';
PARAMETER1             FIRST_TIME                LAST_TIME                 PARAMETER6             *NUM_SLOTS*              MINUSONE_PARAMETER1    MINUSONE_FIRST_TIME       MINUSONE_LAST_TIME        MINUSONE_PARAMETER6    NUM_MINUSONE
423                    02.02.12 13:51:28         02.02.12 15:13:41         0                      *23*                     46                     02.02.12 14:20:35         02.02.12 15:18:47         0                      5                      this is the desired result
same query with Lot2:
PARAMETER1             FIRST_TIME                LAST_TIME                 PARAMETER6             *NUM_SLOTS*              MINUSONE_PARAMETER1    MINUSONE_FIRST_TIME       MINUSONE_LAST_TIME        MINUSONE_PARAMETER6    NUM_MINUSONE
506                    24.02.12 03:00:47         24.02.12 04:03:24         0                      *25*                     1                      24.02.12 03:19:26         24.02.12 03:19:26         0                      1                      so right now i get the desired results with this ugly query... but with combinations of several different conditions - e.g. several slots with more steps and a few with less... - it may not work.
Edited by: Paneologist on Feb 24, 2012 7:42 AM

Select records based on first n distinct values of column

I need to write a query in plsql to select records for first 3 distinct values of a single column (below example, ID )and all the rows for next 3 distinct values of the column and so on till the end of count of distinct values of a column.
eg:
ID name age
1 abc 10
1 def 20
2 ghi 10
2 jkl 20
2 mno 60
3 pqr 10
4 rst 10
4 tuv 10
5 vwx 10
6 xyz 10
6 hij 10
7 lmn 10
so on... (till some count)
Result should be
Query 1 should result --->
ID name age
1 abc 10
1 def 20
2 ghi 10
2 jkl 20
2 mno 60
3 pqr 10
query 2 should result -->
4 rst 10
4 tuv 10
5 vwx 10
6 xyz 10
6 hij 10
query 3 should result -->
7 lmn 10
9 .. ..
so on..
How to write a query for this inside a loop.

Hi,
So, one group will consist of the lowest id value, the 2nd lowest and the 3rd lowest, reggardless of how many rows are involved. The next group will consist of the 4th lowest id, the 5th lowest and the 6th lowest. To do that, you need to assign numbers 1, 2, 3, 4, 5, 6, ... to the rows in order by id, with all rows having the same id getting the same number, and without skipping any numbers.
That sounds like a job for the analytic DENSE_RANK function:
WITH     got_grp_id     AS
     SELECT     id, name, age
     ,     CEIL ( DENSE_RANK () OVER (ORDER BY id)
               / 3
               )          AS grp_id
     FROM     table_x
SELECT     id, name, age
FROM     got_grp_id
WHERE     id     = 1     -- or whatever number you want
;If you'd care to post CREATE TABLE and INSERT statements for your sample data, then I could test it.
See the forum FAQ {message:id=9360002}

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

Count distinct values current group

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