log file switch (checkpoint incomplete)的問題定位,incompletezipfile
今天測試環境下應用慢,探索資料庫出了問題,直接上AWR報告。由於是虛擬機器,所以不用貼cpu的個數,可以發現負載高。
Snap Id |
Snap Time |
Sessions |
Cursors/Session |
Begin Snap: |
15257 |
30-Jun-15 09:30:57 |
558 |
5.3 |
End Snap: |
15258 |
30-Jun-15 10:00:27 |
582 |
5.7 |
Elapsed: |
|
29.50 (mins) |
|
|
DB Time: |
|
717.00 (mins) |
|
|
查看等待時間,發現日誌切換在等待。
Top 10 Foreground Events by Total Wait Time
Event |
Waits |
Total Wait Time (sec) |
Wait Avg(ms) |
% DB time |
Wait Class |
log file switch (checkpoint incomplete) |
350 |
11.3K |
32229 |
26.2 |
Configuration |
db file sequential read |
569,141 |
8433.8 |
15 |
19.6 |
User I/O |
read by other session |
1,228,260 |
6279.9 |
5 |
14.6 |
User I/O |
buffer busy waits |
452,194 |
6138 |
14 |
14.3 |
Concurrency |
DB CPU |
|
3121.5 |
|
7.3 |
|
enq: TX - row lock contention |
300 |
1934.5 |
6448 |
4.5 |
Application |
direct path read |
45,561 |
1647.4 |
36 |
3.8 |
User I/O |
db file scattered read |
89,177 |
1617.5 |
18 |
3.8 |
User I/O |
db file parallel read |
29,761 |
1079.4 |
36 |
2.5 |
User I/O |
log file sync |
9,864 |
720.7 |
73 |
1.7 |
Commit |
半小時切換了23次,redo日誌我看了一下,一個為512M。
Statistic |
Total |
per Hour |
log switches (derived) |
23 |
46.78 |
最直接的方法是看下資料區塊改動的情況,再去查SQL,一眼看去就是物化視圖MV_CONTRACT_INFO導致,70,211,408是改動資料庫的數量,換算成資料量是70211408*8/1024/1024=535.6G,不過這個是最大的redo,其實真實的比這個小,即使小,也非常可觀。很明顯,是有人在重新整理物化視圖,通知開發不要在上班時間內重新整理物化視圖。
Segments by DB Blocks Changes
- % of Capture shows % of DB Block Changes for each top segment compared
- with total DB Block Changes for all segments captured by the Snapshot
Owner |
Tablespace Name |
Object Name |
Subobject Name |
Obj. Type |
DB Block Changes |
% of Capture |
LCAM_ZC_0130 |
WZ |
MV_CONTRACT_INFO |
|
TABLE |
70,211,408 |
99.91 |
LCAM_SC |
SPROC4GD_DATA |
GCP_D_S_ALL |
|
TABLE |
34,864 |
0.05 |
LCAM_PUB_CS |
LCAM_SYS_TBS |
SYS_LOB0001127099C00014$$ |
|
LOB |
5,104 |
0.01 |
LCAM_PUB_15630 |
WZ |
SOA_SERVICE_LOAD_RESULT |
|
TABLE |
5,024 |
0.01 |
LCAM_PUB_CS |
LCAM_SYS_TBS |
PK_LOAD_ID |
|
INDEX |
4,752 |
0.01 |
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