SQL query please

Hi All
Stuck with this problem
First let me go through with step by step
1. 1st table :SELECT  [GBL_PARNT_REGIONAL_PARENT]
      ,[GBL_PARNT_COUNTRY]
      ,[GBL_PARNT_SEGMENT]
      ,[GBL_PARNT_ACCT_ID]
      ,[GBL_PARNT_ACCT_NM]
      ,[FISC_WEEK_VAL]
      ,[ACCOUNT_TYPE]
      ,[STORAGE_ORDER_REVENUE]
      ,[NDM]
      ,[NDM_PERCENTAGE]
      ,[GS_REVENUE]
      ,[GS_PERCENTAGE]
      ,[TOTAL_SPIFF_PAYOUT]
      ,[IS_ELIGIBLE]
      ,[AE_REP_NAME]
      ,[AE_REP_BADGE_NUM]
      ,[AE_MGR_NAME]
      ,[AE_MGR_BADGE_NUM]
      ,[AE_PAYOUT]
      ,[SC_REP_NAME]
      ,[SC_REP_BADGE_NUM]
      ,[SC_MGR_NAME]
      ,[SC_MGR_BADGE_NUM]
      ,[SC_PAYOUT]
      ,[SR_REP_NAME]
      ,[SR_REP_BADGE_NUM]
      ,[SR_MGR_NAME]
      ,[SR_MGR_BADGE_NUM]
      ,[SR_PAYOUT]
      ,[TSR_REP_NAME]
      ,[TSR_REP_BADGE_NUM]
      ,[TSR_MGR_NAME]
      ,[TSR_MGR_BADGE_NUM]
      ,[TSR_PAYOUT]
      ,[DM_SE_REP_NAME]
      ,[DM_SE_REP_BADGE_NUM]
      ,[DM_SE_MGR_NAME]
      ,[DM_SE_MGR_BADGE_NUM]
      ,[DM_SE_PAYOUT]
      ,[DM_SR_REP_NAME]
      ,[DM_SR_REP_BADGE_NUM]
      ,[DM_SR_MGR_NAME]
      ,[DM_SR_MGR_BADGE_NUM]
      ,[DM_SR_PAYOUT]
      ,[DM_TSR_REP_NAME]
      ,[DM_TSR_REP_BADGE_NUM]
      ,[DM_TSR_MGR_NAME]
      ,[DM_TSR_MGR_BADGE_NUM]
      ,[DM_TSR_PAYOUT]
      ,[ESS_REP_NAME]
      ,[ESS_REP_BADGE_NUM]
      ,[ESS_MGR_NAME]
      ,[ESS_MGR_BADGE_NUM]
      ,[ESS_PAYOUT]
      ,[Channel_AE_REP_NAME]
      ,[Channel_AE_REP_BADGE_NUM]
      ,[Channel_AE_MGR_NAME]
      ,[Channel_AE_MGR_BADGE_NUM]
      ,[Channel_AE_PAYOUT]
  FROM [ESG_STORAGE_SPIFF].[dbo].[SPIFF_FINAL_REPORT]
2. 2nd table structure
SELECT  [GBL_PARNT_ACCT_ID]
      ,[GBL_PARNT_ACCT_NM]
      ,[GBL_PRNT_TYPE_CD]
      ,[GBL_PARNT_REGIONAL_PARENT]
      ,[GBL_PARNT_COUNTRY]
      ,[GBL_PARNT_SEGMENT]
      ,[ROLE_CODE]
      ,[REP_BADGE_NUM]
      ,[REP_NAME]
      ,[MGR_BADGE_NUM]
      ,[MGR_NAME]
      ,[IS_ELIGIBLE_HIST]
      ,[IS_ELIGIBLE_CQ]
  FROM [ESG_STORAGE_SPIFF].[dbo].[SPIFF_ELIGIBLE_ACCT_REP]
First table is the master information. Second table gives information about details about account
The only thing that is missing in the master table is role_code that is there in 2nd table. role code may differ based on the rep.
I am totally lost. Can any body guide me how can write query for this
My Report should look below
Smash126

Hi Smash126
Can you please post DDL+DML instead of images ?
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            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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    AVG_7_AMT
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    1000 1
    NULL
    1 200 2000
    2 NULL
    1 300 3000
    3 NULL
    1 400 4000
    4 NULL
    1 500 5000
    5 NULL
    1 600 6000
    6 NULL
    1 700 7000
    7 NULL
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    8 NULL
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    9 NULL
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    10000 10
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    100
    1000
    1
    1000
    1
    200
    2000
    2
    3000
    1
    300
    3000
    3
    6000
    1
    400
    4000
    4
    10000
    1
    500
    5000
    5
    15000
    1
    600
    6000
    6
    21000
    1
    700
    7000
    7
    28000
    1
    800
    8000
    8
    35000
    1
    900
    9000
    9
    42000
    1
    1000
    10000
    10
    49000
    2
    100
    1000
    1
    1000
    2
    200
    2000
    2
    3000
    2
    300
    3000
    3
    6000
    2
    400
    4000
    4
    10000
    2
    500
    5000
    5
    15000
    2
    600
    6000
    6
    21000
    2
    700
    7000
    7
    28000
    2
    800
    8000
    8
    35000
    2
    900
    9000
    9
    42000
    2
    1000
    10000
    10
    49000

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