SQL Query to check which datafiles have AutoExtend on?

I want to turn autoextend off on almost all my datafiles(obviously not on system). Using the Java Enterprise Manager you can visually see which datafiles have autoextend on. I'd prefer to find out using sqlplus which files have autoextend on so I can script turning it off. I don't see it in the v$tablespace or v$datafile views.. Where can i find this??
Paul

Hi,
1* select substr(file_name,1,50), AUTOEXTENSIBLE from dba_data_files
SQL> /
SUBSTR(FILE_NAME,1,50)                             AUT
/data/ora/H89UCBAC/u05/system/system01.dbf         YES
/data/ora/H89UCBAC/u05/rbs/psundots01.dbf          YES
/data/ora/H89UCBAC/u01/psdefault/psdefault.dbf     NO
/data/ora/H89UCBAC/u01/aaapp/aaapp.dbf             NO
/data/ora/H89UCBAC/u01/aalarge/aalarge.dbf         NO
/data/ora/H89UCBAC/u01/adapp/adapp.dbf             NO
/data/ora/H89UCBAC/u01/amapp/amapp.dbf             NO
/data/ora/H89UCBAC/u01/avapp/avapp.dbf             NO
/data/ora/H89UCBAC/u01/bdapp/bdapp.dbf             NO
/data/ora/H89UCBAC/u01/bnapp/bnapp.dbf             NO
/data/ora/H89UCBAC/u01/bnlarge/bnlarge.dbf         NO
...Nicolas.

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SQL query to check continious records

With T1 As ( SELECT ‘E1’ as E ,1100 as T , 15.0787 as SM1 , 16.1345 as EM1 from dual union all
SELECT ‘E1’ ,1100 , 16.084 , 18.045 from dual union all
SELECT ‘E2’ ,1100 , 15.0787 , 16.1345 from dual union all
SELECT ‘E2’ ,1100 , 15.0327 , 18.045 from dual union all
SELECT ‘E3’ ,1100 , 15.0197 , 16.1445 from dual union all
SELECT ‘E3’ ,1100 , 16.1445 , 18.045 from dual union all
SELECT ‘E4’ ,1100 , 13.0787 , 14.0743 from dual union all
SELECT ‘E4’ ,1100 , 14.0743 , 34.0843 from dual union all
SELECT ‘E4’ ,1100 , 34.0843 , 54.0743 from
SELECT ‘E4’ ,1110 , 13.0787 , 14.0743 from dual union all
SELECT ‘E4’ ,1110 , 14.0743 , 34.0843 from dual union all
SELECT ‘E4’ ,1110 , 34.0843 , 54.0743 from union all
SELECT ‘E1’ ,1100 , 19.084 , 20.045 from )
Main Output should be come as
E1      1100     15.0787 18.045
E2 1100 15.0787 16.1345
E2 1100 15.0327 18.045
E3 1100 15.0197 18.045
E4 1100 13.0787 54.0743
E4 1110 13.0787 54.0743
E1 1100 19.084 20.045
could you help me with an sql to get the first output ?
Logic to derive the above output:
For a particular set of E and T as long as the EM1 of previous record <=SM1 of next record and SM1 of previous record < = SM2 of next record then consider it as a continious record. So record will become for this set
‘E1’ 1100 15.0787 16.1345
‘E1’ ,1100 , 16.084 , 18.045
temporary Output wll be : E1 1100 15.0787 18.045

Hi,
user5698021 wrote:
With T1 As ( SELECT ‘E1’ as E ,1100 as T , 15.0787 as SM1 , 16.1345 as EM1 from dual union all
SELECT ‘E1’ ,1100 , 16.084 , 18.045 from dual union all
SELECT ‘E2’ ,1100 , 15.0787 , 16.1345 from dual union all
SELECT ‘E2’ ,1100 , 15.0327 , 18.045 from dual union all
SELECT ‘E3’ ,1100 , 15.0197 , 16.1445 from dual union all
SELECT ‘E3’ ,1100 , 16.1445 , 18.045 from dual union all
SELECT ‘E4’ ,1100 , 13.0787 , 14.0743 from dual union all
SELECT ‘E4’ ,1100 , 14.0743 , 34.0843 from dual union all
SELECT ‘E4’ ,1100 , 34.0843 , 54.0743 from
SELECT ‘E4’ ,1110 , 13.0787 , 14.0743 from dual union all
SELECT ‘E4’ ,1110 , 14.0743 , 34.0843 from dual union all
SELECT ‘E4’ ,1110 , 34.0843 , 54.0743 from union all
SELECT ‘E1’ ,1100 , 19.084 , 20.045 from )Thanks for posting this. Please test (and, if necessary, correct) your code before you post it. The code above has syntax errors.
Use only straight single-quotes (CHR (39)) around string literals. That is, don't say:
SELECT ‘E1’ , ...instead, say:
SELECT 'E1' , ...
Main Output should be come as
E1      1100     15.0787 18.045
E2 1100 15.0787 16.1345
E2 1100 15.0327 18.045
E3 1100 15.0197 18.045
E4 1100 13.0787 54.0743
E4 1110 13.0787 54.0743
E1 1100 19.084 20.045
could you help me with an sql to get the first output ?
Logic to derive the above output:
For a particular set of E and T as long as the EM1 of previous record <=SM1 of next record and SM1 of previous record < = SM2 of next record What is sm2?
then consider it as a continious record. So record will become for this setWhat does "previous" mean in this case? If you look at 2 rows, how can you tell which comes first? Remember, there is no built-in order to rows in a relational database. Are there other significant columns in the table that you haven't shown?
‘E1’ 1100 15.0787 16.1345
‘E1’ ,1100 , 16.084 , 18.045
temporary Output wll be : E1 1100 15.0787 18.045You can use LEAD or LAG to see when a new group starts, creating a new column with 0 or 1. Use the analytic SUM function on that column to see how many groups have already begun, and then GROUP BY that number; something like this:
WITH     got_grp_start     AS
     SELECT     e, t, sm1, em1
     ,     order_col
     ,     CASE
              WHEN e = LAG (e)           OVER (ORDER BY order_col)
              AND       t = LAG (t)       OVER (ORDER BY order_col)
              AND   sm1 BETWEEN LAG (sm1) OVER (ORDER BY order_col)
                          AND     LAG (em1) OVER (ORDER BY order_col)
              THEN 0
              ELSE 1
          END     AS grp_start
     FROM    t1
,     got_grp          AS
     SELECT     e, t, sm1, em1
     ,     SUM (grp_start) OVER (ORDER BY order_col)     AS grp
     FROM     got_grp_start
SELECT       e
,       t
,       MIN (sm1)     AS start_sm1
,       MAX (em1)     AS end_em1
FROM       got_grp
GROUP BY grp, e, t
ORDER BY grp
;I couldn't test this, of course.
I assume there's another column, order_col, in the table, that determines what "previous" means.
Edited by: Frank Kulash on Dec 7, 2012 6:15 AM

SQL QUERY TO CHECK FIREWALL PORTS

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Hi Experts,
Can I have a query on checks which were deposited on-date. Columns would be: Dep No. Customer code, Customer Name, Check date, Check No., Bank code and Amount. Parameter would be the Deposit date.
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Don

Hello Don - maybe try this out to see if it works...Regards, Zal
SQL G BK Daily Check Deposit Report Detail by Date Range Ver 2 ZP 2009 01 20
--DESCRIPTION: SQL reports on deposit, incoming payment, check numbers, and customer invoice information. This SQL is the basis for the Daily Deposit Report Summary by Date Range.
--AUTHOR(s):
--Version 1 Zal Parchem 12 Jan 2009
--Version 2 Zal Parchem 20 Jan 2009 Added Bank Code
--PROBLEM(s):
--[P1] ZP 2008 11 18 - SAP does not have a direct link to provide all of the information. See how SQL places info together in the JOIN statements before making any changes.
SELECT
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T3.CardName AS 'Vendor/Customer Name',
T3.CardCode AS 'Vendor/Customer Number',
T1.CheckNum As 'Check Number',
T3.DocNum AS 'Inv/Cred Memo',
CASE
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THEN (T2.SumApplied * -1)
ELSE (T2.SumApplied *1)
END AS 'Sum Applied to',
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T1.BankCode AS u2018Bank Codeu2019
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Hi,
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Hi Folks,
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Looking at a SQL query to determine which columns are used is not nearly as easy as it sounds. Are there any oracle functions or 3rd party tools that can be used to list the columns used by a sql query? (this gets extremely tricky when subqueries become involved)
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name, b.dep_id, employee_id
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If you're on > 10g, you can use dbms_xplan with "all" option.
It shows "column projection information" which is exactly what you want.
UKJA@ukja102> set serveroutput on
UKJA@ukja102>
UKJA@ukja102> drop table t1 purge;
Table dropped.
Elapsed: 00:00:00.03
UKJA@ukja102> create table t1(c1 int, c2 int);
Table created.
Elapsed: 00:00:00.03
UKJA@ukja102>
UKJA@ukja102> explain plan for
2 select
3    t1.c1, t1.c2, v.cnt
4 from t1,
5    (select /*+ no_merge */ c1, count(*) as cnt
6       from t1
7       group by c1) v
8 where
9    t1.c1 = v.c1
10 ;
Explained.
Elapsed: 00:00:00.01
UKJA@ukja102>
UKJA@ukja102> @plan_all
UKJA@ukja102> select * from table(dbms_xplan.display(null,null,'all'))
2 /
PLAN_TABLE_OUTPUT
Plan hash value: 536125944
| Id | Operation            | Name | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT     |      |     1 |    52 |     6 (34)| 00:00:01 |
|* 1 | HASH JOIN           |      |     1 |    52 |     6 (34)| 00:00:01 |
|   2 |   TABLE ACCESS FULL | T1   |     1 |    26 |     2   (0)| 00:00:01 |
|   3 |   VIEW               |      |     1 |    26 |     3 (34)| 00:00:01 |
|   4 |    HASH GROUP BY     |      |     1 |    13 |     3 (34)| 00:00:01 |
|   5 |     TABLE ACCESS FULL| T1   |     1 |    13 |     2   (0)| 00:00:01 |
Query Block Name / Object Alias (identified by operation id):
   1 - SEL$1
   2 - SEL$1 / T1@SEL$1
   3 - SEL$2 / V@SEL$1
   4 - SEL$2
   5 - SEL$2 / T1@SEL$2
Predicate Information (identified by operation id):
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Column Projection Information (identified by operation id):
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   2 - "T1"."C1"[NUMBER,22], "T1"."C2"[NUMBER,22]
   3 - "V"."C1"[NUMBER,22], "V"."CNT"[NUMBER,22]
   4 - (#keys=1) "C1"[NUMBER,22], COUNT(*)[22]
   5 - "C1"[NUMBER,22]
Note
   - dynamic sampling used for this statement
40 rows selected.
Elapsed: 00:00:00.01
UKJA@ukja102>
UKJA@ukja102>
UKJA@ukja102> @end
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How to Use the Procedures in a Sql Query

Hi Friends,
Can anyone help me out whether can we use the procedure in the sql query..
if yes help me out with an example
my requirement is
i have one sql query .. in which i need to use the procedure which returns multiple values... how can i overcome it,can anyone help me out for this..
for your reference i am pasting the sql query
SELECT paf.person_id
FROM per_all_assignments_f paf START WITH paf.person_id = p_person_id
AND paf.primary_flag = 'Y'
AND paf.assignment_type IN('E', 'C')
AND l_effective_date BETWEEN paf.effective_start_date
AND paf.effective_end_date
CONNECT BY PRIOR paf.supervisor_id = paf.person_id
AND paf.primary_flag = 'Y'
AND paf.assignment_type IN('E', 'C')
AND l_effective_date BETWEEN paf.effective_start_date
AND paf.effective_end_date
and paf.person_id not in (>>>I HAVE TO USE THE PROCEDURE HERE<<<<);
Thanks in advance

We never saw your procedure, but maybe you could wrap it in a function
SQL> create or replace procedure get_members(in_something IN number, out_members OUT sys_refcursor)
is
begin
open out_members for
    'select level member_id from dual connect by level <= :num' using in_something;
end get_members;
Procedure created.
SQL> create or replace type numbers as table of number;
Type created.
SQL> create or replace function members(in_something IN number)
return numbers
as
member_cur sys_refcursor;
members numbers;
begin
get_members(in_something, member_cur);
fetch member_cur bulk collect into members;
close member_cur;
return members;
end;
Function created.
SQL> select * from table(members(4));
COLUMN_VALUE
           1
           2
           3
           4
4 rows selected.Variant on same using piplined function
SQL> create or replace function members_piped(in_something IN number)
return numbers pipelined
as
member_cur sys_refcursor;
rec number;
begin
get_members(in_something, member_cur);
loop
     fetch member_cur into rec;
     exit when member_cur%notfound;
     pipe row(rec);
end loop;
close member_cur;
return;
end;
Function created.
SQL> select * from table(members_piped(4));
COLUMN_VALUE
           1
           2
           3
           4
4 rows selected.
SQL> drop function members_piped;
Function dropped.
SQL> drop function members;
Function dropped.
SQL> drop type numbers;
Type dropped.
SQL> drop procedure get_members;
Procedure droppedEdit:
Sorry Blu, had not seen you already posted similar thing
Edited by: Peter on Jan 27, 2011 5:38 AM

Sql query/function problem??

Hi ,
I have problems writing a difficult sql query, please help me
I have a table t in which there are 50000 records
the table has columns like
create table t
(MATCH_ID     NUMBER(4) NOT NULL,
TEAM_ID NUMBER(4),
PLAYER_ID     NUMBER(4),
RUNS     NUMBER(3))
here match_id, player_id and team_id are jointly primary key
SQL> SELECT * FORM T WHERE MATCH_ID < 10
MATCH_ID    TEAM_ID      PL_ID RUNS
        1          2       1228 8
        1          2       1203 82
        1          2       1316 24
        1          1       1150 27
        1          1       1278 13
        1          1       1243 60
        2          1       1278 37
        2          1       1291 0
        2          1       1243 53
        2          2       1228 25
        2          2       1285 103
        2          2       1316 60
        3          2       1228 8
        3          2       1285 25
        3          2        858 43
        3          1       1278 52
        3          1       1394 6
        3          1       1243 31
        4          1       1278 61
        4          1       1394 6
        4          1       1243 3
        4          2       1228 41
        4          2       1285 40
        4          2        858 5
        6          2       1228 20
        6          2       1285 100
        6          2       1408 0
        7          2       1228 15
        7          2       1285 34
        7          2       1408 44
        8          2       1228 0
        8          2       1420 31
        8          2       1340 66
        9          2       1420 19
        9          2       1385 28
        9          2       1340 0
.....so on upto 50000 records..
the problem is that I want to extract how many times each player_id in each
match exists in the table, prior to that match_id (or current_match_id)
along with that in another column, I also want the sum of 'RUNS' for each
player_id prior to that match_id (or current_match_id)
my disired output is:
MATCH_ID    TEAM_ID   player_ID RUNS   NO_OF_OCCURENCES    SUM(RUNS)
                                       BEFORE_THIS_MATCH   BEFORE_THIS_MATCH
                                       FOR_THIS_PLAYER_ID FOR_THIS_PLAYER_ID
        1          2       1228 8      0                   0
        1          2       1203 82     0                   0
        1          2       1316 24     0                   0
        1          1       1150 27     0                   0
        1          1       1278 13     0                   0
        1          1       1243 60     0                   0
        2          1       1278 37     1                   13
        2          1       1291 0      0                   0
        2          1       1243 53     1                   60
        2          2       1228 25     1                   8
        2          2       1285 103    0                   0
        2          2       1316 60     1                   24
        3          2       1228 8      2                   33
        3          2       1285 25     1                   103
        3          2        858 43     0                   0
        3          1       1278 52     2                   50
        3          1       1394 6      0                   0
        3          1       1243 31     2                   113
        4          1       1278 61     3                   102
        4          1       1394 6      1                   6
        4          1       1243 3      3                   144
        4          2       1228 41     3                   41
        4          2       1285 40     2                   128
        4          2        858 5      1                   43
        6          2       1228 20     4                   82
        6          2       1285 100    3                   168
        6          2       1408 0      0                   0
        7          2       1228 15     5                   102
        7          2       1285 34     4                   268
        7          2       1408 44     1                   0
        8          2       1228 0      6                   117
        8          2       1420 31     0                   0
        8          2       1340 66     0                   0
        9          2       1420 19     1                   31
        9          2       1385 28     0                   0
        9          2       1340 0      1                   66
as you can see from the above data (5TH COLUMN), i have mentioned the
existance of each player_id in each match prior to the current_match_id
since match_id = 1 is the 1st match in the table so no player_id comes in the
table before match number 1.
In match number 2 , player_id = 1278 was also present in match_id = 1 so
thats why Number_OF_OCCURENCES = 1 for player_id = 1278 in match_id = 2
and so on..
same is the case with 'RUNS' column but here RUNS are the SUM of each
player_id's 'RUNS' before the current match
Note: if some player_id does not exist in the table before the current
match_ID then the query should return zero for that player_id ( as in 4th and
5th columns of no_of_occurances and sum(runs) respectively)
for example: in above data
MATCH_ID    TEAM_ID PLayer_ID RUNS   NO_OF_OCCURENCES    SUM(RUNS)
                                      BEFORE_THIS_MATCH   BEFORE_THIS_MATCH
                                      FOR_THIS_PLAYER_ID FOR_THIS_PLAYER_ID
       9          2       1385 28     0                   0
I hope this will clear my problem
i would be extremely grateful if someone helps me out??
here is sample ddl of the above data
create table t
(MATCH_ID     NUMBER(4) NOT NULL,
TEAM_ID         NUMBER(4),
PLAYER_ID     NUMBER(4),
RUNS     NUMBER(3))
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (1, 2, 1228, 8);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (1, 2, 1203, 82);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (1, 2, 1316, 24);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (1, 1, 1150, 27);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (1, 1, 1278, 13);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (1, 1, 1243, 60);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (2, 1, 1278, 37);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (2, 1, 1291, 0);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (2, 1, 1243, 53);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (2, 2, 1228, 25);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (2, 2, 1285, 103);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (2, 2, 1316, 60);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (3, 2, 1228, 8);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (3, 2, 1285, 25);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (3, 2, 858, 43);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (3, 1, 1278, 52);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (3, 1, 1394, 6);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (3, 1, 1243, 31);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (4, 1, 1278, 61);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (4, 1, 1394, 6);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (4, 1, 1243, 3);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (4, 2, 1228, 41);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (4, 2, 1285, 40);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (4, 2, 858, 5);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (6, 2, 1228, 20);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (6, 2, 1285, 100);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (6, 2, 1408, 0);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (7, 2, 1228, 15);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (7, 2, 1285, 34);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (7, 2, 1408, 44);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (8, 2, 1228, 0);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (8, 2, 1420, 31);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (8, 2, 1340, 66);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (9, 2, 1420, 19);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (9, 2, 1385, 28);
insert into t (MATCH_ID, TEAM_ID, PLAYER_ID, RUNS) values (9, 2, 1340, 0);regards
ramis.

Ramis,
SQL> select * from tt;
MATCH_ID    TEAM_ID PLAYER_ID       RUNS
         1          2       1228          8
         1          2       1203         82
         1          2       1316         24
         1          1       1150         27
         1          1       1278         13
         1          1       1243         60
         2          1       1278         37
         2          1       1291          0
         2          1       1243         53
         2          2       1228         25
         2          2       1285        103
         2          2       1316         60
         3          2       1228          8
         3          2       1285         25
         3          2        858         43
         3          1       1278         52
         3          1       1394          6
         3          1       1243         31
         4          1       1278         61
         4          1       1394          6
         4          1       1243          3
         4          2       1228         41
         4          2       1285         40
         4          2        858          5
         6          2       1228         20
         6          2       1285        100
         6          2       1408          0
         7          2       1228         15
         7          2       1285         34
         7          2       1408         44
         8          2       1228          0
         8          2       1420         31
         8          2       1340         66
         9          2       1420         19
         9          2       1385         28
         9          2       1340          0
36 rows selected.
SQL> select tt.match_id,
       tt.team_id,
       tt.player_id,
       tt.runs,
       nvl(a.sum_player,0) OCC,
       nvl(b.sum_runs,0) SUM_RUNS
from
tt,
(select a.match_id,a.team_id,a.player_id,a.runs,count(*) sum_player
from tt a,
      (select match_id,player_id
       from   tt
       group by match_id,player_id) b
where a.match_id>b.match_id
and   a.player_id=b.player_id
group by a.match_id,a.team_id,a.player_id,a.runs
) a,
(select a.match_id,a.team_id,a.player_id,a.runs,sum(b.runs) sum_runs
from tt a,
      (select match_id,player_id,runs
       from   tt) b
where a.match_id>b.match_id
and   a.player_id=b.player_id
group by a.match_id,a.team_id,a.player_id,a.runs
) b
where tt.match_id=a.match_id(+)
and tt.team_id=a.team_id(+)
and tt.player_id=a.player_id(+)
and tt.match_id=b.match_id(+)
and tt.team_id=b.team_id(+)
and tt.player_id=b.player_id(+)
MATCH_ID    TEAM_ID PLAYER_ID       RUNS        OCC   SUM_RUNS
         1          1       1150         27          0          0
         1          1       1243         60          0          0
         1          1       1278         13          0          0
         1          2       1203         82          0          0
         1          2       1228          8          0          0
         1          2       1316         24          0          0
         2          1       1243         53          1         60
         2          1       1278         37          1         13
         2          1       1291          0          0          0
         2          2       1228         25          1          8
         2          2       1285        103          0          0
         2          2       1316         60          1         24
         3          1       1243         31          2        113
         3          1       1278         52          2         50
         3          1       1394          6          0          0
         3          2        858         43          0          0
         3          2       1228          8          2         33
         3          2       1285         25          1        103
         4          1       1243          3          3        144
         4          1       1278         61          3        102
         4          1       1394          6          1          6
         4          2        858          5          1         43
         4          2       1228         41          3         41
         4          2       1285         40          2        128
         6          2       1228         20          4         82
         6          2       1285        100          3        168
         6          2       1408          0          0          0
         7          2       1228         15          5        102
         7          2       1285         34          4        268
         7          2       1408         44          1          0
         8          2       1228          0          6        117
         8          2       1340         66          0          0
         8          2       1420         31          0          0
         9          2       1340          0          1         66
         9          2       1385         28          0          0
         9          2       1420         19          1         31
36 rows selected.
SQL> Is this do you want ?
Nicolas.

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