How to reduce excessive redo log generation in Oracle 10G

Hi All,
Please let me know is there any way to reduce excessive redo log generation in Oracle DB 10.2.0.3
previously per day there is only 15 Archive log files are generating but now a days it is increased to 40 to 45
below is the size of redo log file members:
L.BYTES/1024/1024     MEMBER
200     /u05/applprod/prdnlog/redolog1a.dbf
200     /u06/applprod/prdnlog/redolog1b.dbf
200     /u05/applprod/prdnlog/redolog2a.dbf
200     /u06/applprod/prdnlog/redolog2b.dbf
200     /u05/applprod/prdnlog/redolog3a.dbf
200     /u06/applprod/prdnlog/redolog3b.dbf
here is the some content of alert message for your reference how frequent log switch is occuring:
Beginning log switch checkpoint up to RBA [0x441f.2.10], SCN: 4871839752
Thread 1 advanced to log sequence 17439
Current log# 3 seq# 17439 mem# 0: /u05/applprod/prdnlog/redolog3a.dbf
Current log# 3 seq# 17439 mem# 1: /u06/applprod/prdnlog/redolog3b.dbf
Tue Jul 13 14:46:17 2010
Completed checkpoint up to RBA [0x441f.2.10], SCN: 4871839752
Tue Jul 13 14:46:38 2010
Beginning log switch checkpoint up to RBA [0x4420.2.10], SCN: 4871846489
Thread 1 advanced to log sequence 17440
Current log# 1 seq# 17440 mem# 0: /u05/applprod/prdnlog/redolog1a.dbf
Current log# 1 seq# 17440 mem# 1: /u06/applprod/prdnlog/redolog1b.dbf
Tue Jul 13 14:46:52 2010
Completed checkpoint up to RBA [0x4420.2.10], SCN: 4871846489
Tue Jul 13 14:53:33 2010
Beginning log switch checkpoint up to RBA [0x4421.2.10], SCN: 4871897354
Thread 1 advanced to log sequence 17441
Current log# 2 seq# 17441 mem# 0: /u05/applprod/prdnlog/redolog2a.dbf
Current log# 2 seq# 17441 mem# 1: /u06/applprod/prdnlog/redolog2b.dbf
Tue Jul 13 14:53:37 2010
Completed checkpoint up to RBA [0x4421.2.10], SCN: 4871897354
Tue Jul 13 14:55:37 2010
Incremental checkpoint up to RBA [0x4421.4b45c.0], current log tail at RBA [0x4421.4b5c5.0]
Tue Jul 13 15:15:37 2010
Incremental checkpoint up to RBA [0x4421.4d0c1.0], current log tail at RBA [0x4421.4d377.0]
Tue Jul 13 15:35:38 2010
Incremental checkpoint up to RBA [0x4421.545e2.0], current log tail at RBA [0x4421.54ad9.0]
Tue Jul 13 15:55:39 2010
Incremental checkpoint up to RBA [0x4421.55eda.0], current log tail at RBA [0x4421.56aa5.0]
Tue Jul 13 16:15:41 2010
Incremental checkpoint up to RBA [0x4421.58bc6.0], current log tail at RBA [0x4421.596de.0]
Tue Jul 13 16:35:41 2010
Incremental checkpoint up to RBA [0x4421.5a7ae.0], current log tail at RBA [0x4421.5aae2.0]
Tue Jul 13 16:42:28 2010
Beginning log switch checkpoint up to RBA [0x4422.2.10], SCN: 4872672366
Thread 1 advanced to log sequence 17442
Current log# 3 seq# 17442 mem# 0: /u05/applprod/prdnlog/redolog3a.dbf
Current log# 3 seq# 17442 mem# 1: /u06/applprod/prdnlog/redolog3b.dbf
Thanks in advance

hi,
Use the below script to find out at what hour the generation of archives are more and in the hour check for eg. if MV's are running...or any programs where delete * from table is going on..
L
  1  select
  2    to_char(first_time,'DD-MM-YY') day,
  3    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'00',1,0)),'999') "00",
  4    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'01',1,0)),'999') "01",
  5    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'02',1,0)),'999') "02",
  6    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'03',1,0)),'999') "03",
  7    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'04',1,0)),'999') "04",
  8    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'05',1,0)),'999') "05",
  9    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'06',1,0)),'999') "06",
10    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'07',1,0)),'999') "07",
11    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'08',1,0)),'999') "08",
12    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'09',1,0)),'999') "09",
13    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'10',1,0)),'999') "10",
14    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'11',1,0)),'999') "11",
15    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'12',1,0)),'999') "12",
16    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'13',1,0)),'999') "13",
17    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'14',1,0)),'999') "14",
18    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'15',1,0)),'999') "15",
19    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'16',1,0)),'999') "16",
20    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'17',1,0)),'999') "17",
21    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'18',1,0)),'999') "18",
22    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'19',1,0)),'999') "19",
23    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'20',1,0)),'999') "20",
24    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'21',1,0)),'999') "21",
25    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'22',1,0)),'999') "22",
26    to_char(sum(decode(substr(to_char(first_time,'HH24'),1,2),'23',1,0)),'999') "23",
27    COUNT(*) TOT
28    from v$log_history
29  group by to_char(first_time,'DD-MM-YY')
30  order by daythanks,
baskar.l

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    08-07-10   13    9    8    8    8    8    9   14   13   11    8    8   13    9    8   21    8    8   13    9    8    9    8    8        239
    09-07-10   10    8    8    8    9    8   10   12   15    9    8   14    8    9   19    9    8    8   16    8    9    8    8    9        238
    10-07-10    9    9    8    8    8    8    9   14   14   10    8    8    9    9   13    8    8    8    8    9    8    9    8    8        218
    11-07-10   10    8    9    8    8    8    9   11   14    8    8    8    8    9    8    8    9    8   10    8    8    8    8    8        209
    12-07-10   10    9    8    8    8    8    9   12   14   11   14   13    8   13   13    9    8   13   10    8   10    8    8    8        240
    13-07-10    9   12    8    8    8    8    8   14   16   17   11    9   12   17   12   11    9    9    8   15    9   12   11    8        261
    14-07-10   10   12    8    8    8    8    9   12   14   10    8    8    8    8    9    9    8    8    9    9    9   31   52   40        315
    15-07-10   16    8    9    8    8    8   12   10   17    9   13   16    9   11    8   15    8   10   15   12    8   12    8    8        258
    16-07-10   10    9    8    8    8    8    9   11   15   11   14   12   20    8    9    9    9    8    8   12   10    8    8    8        240
    17-07-10   10    8    8    8    8    8    8   12   16   10   15    8    9    8    9    8    8    8    9    8    8    9    8    8        219
    18-07-10   11   10    8    8    8    8    8    8   10    9   10    8    9   12   16   10    9    8    8    8    8    8   10    8        220
    19-07-10   10    9    8    8    8    8    9    4   15    9    8    9    8    8    9   11    9    8   17    8   21    8    8    8        228
    20-07-10    9    9    8    8    8    8   12    9   15   16   11    8    9    8   10   12    8    8    9   11    8    9    8    9        230
    21-07-10   19    9    8    8    9    8    8    8    9    9   13    8    8    8    9   11    8   14   24   12   37   40   35    8        330
    22-07-10   10    8   12   10    8    8    8   11   17    9    8    9    8    9    9    8   14   16   31   11   39   53   40    9        365
    23-07-10   10   15   18    8    9    8    9    8   13    9    8   16    9   10    8   14   11   10    9    8    9    9    8   14        250
    24-07-10   10    9    8    8    8    8    8   12   14    9    8    8   10    9    9    9    8   11   12    8    8    8    8    8        218
    25-07-10   10    8    9    8    8    8    9    8   14    9    8    8    8    9    8    9    8   10    8    9    9    8    8    8        209
    26-07-10   10    9    8    8    8    8    9    9   13   10    8   14    8    8   10   19   24   10   27   37   36   23    8    9        333
    27-07-10    9    9    8    8    8    8    8    6    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0         64
    30-06-10    0    1   49   11    9    8   15    8    8   15   17   25   16   27   28    9   13    9   12   14   12   28   40   43        417
    28 rows selected.thanks,
    baskar.l

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