关于shared pool的深入探讨六(转)

本文针对短信群发系统中出现的数据库拥堵问题进行了深入分析。通过对数据库等待事件的观察,发现大量latch free等待现象,并进一步定位到shared pool和library cache latch的竞争问题。通过查询v$sqlarea和内存dump,最终定位到SQL过度解析导致的高版本数问题。
关于shared pool的深入探讨六[@more@]

研究了几天shared pool,没想到忽然就撞到问题上来了。作为一个案例写出来给大家参考一下吧。

问题起因是公司做短信群发,就是那个18万买的4000字的短信小说(,小声点,我也没看过...)。群发的时候每隔一段时间就会发生一次消息队列拥堵的情况,在数据库内部实际上是向一个数据表中记录发送日志。

我们介入来检查数据库的问题,在一个拥堵时段我开始诊断:

SQL> select sid,event,p1,p1raw from v$session_wait;

SID EVENT P1 P1RAW

---------- ---------------------------------------------------------------- ---------- --------

76 latch free 2147535824 8000CBD0

83 latch free 2147535824 8000CBD0

148 latch free 3415346832 CB920E90

288 latch free 2147535824 8000CBD0

285 latch free 2147535824 8000CBD0

196 latch free 2147535824 8000CBD0

317 latch free 2147535824 8000CBD0

2 pmon timer 300 0000012C

1 rdbms ipc message 300 0000012C

4 rdbms ipc message 300 0000012C

6 rdbms ipc message 180000 0002BF20

SID EVENT P1 P1RAW

---------- ---------------------------------------------------------------- ---------- --------

18 rdbms ipc message 6000 00001770

102 rdbms ipc message 6000 00001770

311 rdbms ipc message 6000 00001770

194 rdbms ipc message 6000 00001770

178 rdbms ipc message 6000 00001770

3 log file parallel write 1 00000001

13 log file sync 2705 00000A91

16 log file sync 2699 00000A8B

104 log file sync 2699 00000A8B

308 log file sync 2694 00000A86

262 log file sync 2705 00000A91

SID EVENT P1 P1RAW

---------- ---------------------------------------------------------------- ---------- --------

172 log file sync 2689 00000A81

169 log file sync 2705 00000A91

108 log file sync 2694 00000A86

38 log file sync 2707 00000A93

34 db file scattered read 63 0000003F

5 smon timer 300 0000012C

27 SQL*Net message to client 1413697536 54435000

60 SQL*Net message to client 1413697536 54435000

239 SQL*Net message to client 1413697536 54435000

...ignore some idle waiting here...

11 SQL*Net message from client 675562835 28444553

12 SQL*Net message from client 1413697536 54435000

170 rows selected.

在这次查询中,我发现大量的latch free等待,再次查询时这些等待消失,应用也恢复了正常。

SQL> select sid,event,p1,p1raw from v$session_wait where event not like 'SQL*Net%';

SID EVENT P1 P1RAW

---------- ---------------------------------------------------------------- ---------- --------

2 pmon timer 300 0000012C

1 rdbms ipc message 300 0000012C

4 rdbms ipc message 300 0000012C

6 rdbms ipc message 180000 0002BF20

18 rdbms ipc message 6000 00001770

102 rdbms ipc message 6000 00001770

178 rdbms ipc message 6000 00001770

194 rdbms ipc message 6000 00001770

311 rdbms ipc message 6000 00001770

3 log file parallel write 1 00000001

148 log file sync 2547 000009F3

SID EVENT P1 P1RAW

---------- ---------------------------------------------------------------- ---------- --------

273 log file sync 2544 000009F0

190 log file sync 2545 000009F1

5 smon timer 300 0000012C

14 rows selected.

接下来我们来看这些latch free等待的是哪些latch

SQL> select addr,latch#,name,gets,spin_gets from v$latch order by spin_gets;

ADDR LATCH# NAME GETS SPIN_GETS

-------- ---------- ------------------------------------------------ ----------

80001398 3 session switching 111937 0

80002010 6 longop free list 37214 0

800023A0 7 cached attr list 0 0

80002628 10 event group latch 2391668 0

.....

80003F3C 28 message pool operations parent latch 3 0

.....

80006030 60 mostly latch-free SCN 19 0

80005F8C 59 file number translation table 68 0

80005F14 58 dlm cr bast queue latch 0 0

80005E8C 57 name-service request 0 0

80005E14 56 name-service memory objects 0 0

80005DA0 55 name-service namespace bucket 0 0

ADDR LATCH# NAME GETS SPIN_GETS

-------- ---------- ------------------------------------------------ ----------

80005D2C 54 name-service pending queue 0 0

80005CB4 53 name-service request queue 0 0

80004E08 52 name-service entry 0 0

80008AB0 76 KCL lock element parent latch 0 0

80008A48 75 KCL instance latch 0 0

80007F18 73 redo copy 816 0

80007BBC 71 archive process latch 0 0

80007B54 70 archive control 1 0

80006A10 68 Active checkpoint queue latch 2003308 0

800064B0 66 large memory latch 0 0

80006448 65 cache protection latch 0 0

ADDR LATCH# NAME GETS SPIN_GETS

-------- ---------- ------------------------------------------------ ----------

800060EC 61 batching SCNs 0 0

8000CAB0 96 global transaction 6833807 0

8000CA48 95 global tx free list 58258 0

8000C238 93 cost function 0 0

80009FCC 91 temp lob duration state obj allocation 0 0

8000995C 87 ktm global data 8118 0

80009228 84 transaction branch allocation 282388 0

80008EC4 80 begin backup scn array 6968 0

80008D54 79 loader state object freelist 42712 0

80008B80 78 KCL freelist latch 0 0

80008B18 77 KCL name table latch 0 0

ADDR LATCH# NAME GETS SPIN_GETS

-------- ---------- ------------------------------------------------ ----------

8000D484 118 presentation list 0 0

8000D41C 117 session timer 855944 0

.....

8000E9D0 129 process queue 44 0

8000E900 127 query server freelists 66 0

8000FC84 140 AQ Propagation Scheduling System Load 0 0

8000E898 126 query server process 10 0

8000E27C 125 job_queue_processes parameter latch 111937 0

8000DA1C 124 NLS data objects 2 0

ADDR LATCH# NAME GETS SPIN_GETS

-------- ---------- ------------------------------------------------ ----------

8000D95C 123 ncodef allocation latch 111937 0

8000D674 122 virtual circuits 0 0

8000D60C 121 virtual circuit queues 159877 0

8000D5A4 120 virtual circuit buffers 0 0

8000D4EC 119 address list 2 0

.....

8000CD70 102 Direct I/O Adaptor 2 0

.....

80002408 8 GDS latch 30 0

800092E4 85 sort extent pool 69834 1

8000EC38 132 parallel query alloc buffer 80 1

8000E968 128 error message lists 22 1

80001400 4 process group creation 2615542 2

8000EAA0 131 parallel query stats 14 2

ADDR LATCH# NAME GETS SPIN_GETS

-------- ---------- ------------------------------------------------ ----------

8000CD08 101 Token Manager 1151107 2

8000CB18 97 global tx hash mapping 507846 2

80006378 63 cache buffer handles 315924 4

8000EA38 130 process queue reference 190993 5

80003E3C 26 channel handle pool latch 2391680 18

80003EAC 27 channel operations parent latch 4783425 24

80009B90 89 intra txn parallel recovery 32654 33

8000FCF8 141 fixed table rows for x$hs_session 161368 41

800012C8 1 process allocation 2391688 154

80009B28 88 parallel txn reco latch 174519 271

8000CCA0 100 library cache load lock 14947545 5958

ADDR LATCH# NAME GETS SPIN_GETS

-------- ---------- ------------------------------------------------ ----------

8000C8D0 94 user lock 13086412 6078

8000914C 82 list of block allocation 120650357 12024

80006A78 69 Checkpoint queue latch 154361751 17686

80009D34 90 sequence cache 64611720 32027

80009090 81 dml lock allocation 234465024 45351

800091C0 83 transaction allocation 214227648 48345

800096AC 86 undo global data 188271244 49641

800028A0 13 enqueue hash chains 373244264 131322

80007E04 72 redo allocation 439389808 201498

80001468 5 session idle bit 2039097976 204969

80002838 12 enqueues 471338482 273695

ADDR LATCH# NAME GETS SPIN_GETS

-------- ---------- ------------------------------------------------ ----------

80001330 2 session allocation 261826230 428312

800063E0 64 multiblock read objects 1380614923 1366278

800026B8 11 messages 207935758 1372606

80001218 0 latch wait list 203479569 1445342

80006310 62 cache buffers chains 3.8472E+10 2521699

8000A17C 92 row cache objects 1257586714 2555872

80007F80 74 redo writing 264722932 4458044

80006700 67 cache buffers lru chain 5664313769 30046921

8000CBD0 98 shared pool 122433688 59070585

8000CC38 99 library cache 4414533796 1037032730

142 rows selected.

SQL> select startup_time from v$instance;

STARTUP_T

---------

13-AUG-04

检查数据库启动时间

我们注意到,在当前数据库中竞争最严重的两个latchshared poollibrary cache.显然这极有可能是SQL的过度解析造成的。进一步我们检查v$sqlarea发现:

SQL> select sql_text,VERSION_COUNT,INVALIDATIONS,PARSE_CALLS,OPTIMIZER_MODE,

PARSING_USER_ID,PARSING_SCHEMA_ID,ADDRESS,HASH_VALUE

from v$sqlarea where version_count >1000;

2

SQL_TEXT

------------------------------------------------------------------------------------------------------------------------

VERSION_COUNT INVALIDATIONS PARSE_CALLS OPTIMIZER_MODE PARSING_USER_ID

PARSING_SCHEMA_ID ADDRESS HASH_VALUE

------------- ------------- ----------- ------------------------- --------------- ----------------- -------- ----------

insert into sms_log (MSGDATE,MSGTIME,MSGID,MSGKIND,MSGTYPE,MSGTYPE_MOMT,

MSGLEN,MSGSTATUS,AREAID,IFIDDEST,IFIDSRC,ADDRSRC,ADDRDEST,ADDRFEE,

ADDRUSER,SERVICECODE,PLANID,FEETYPE,FEEVALUE,DATACODING,FLAGS,SMLEN,

SMCONT) values (:b0,:b1,:b2,:b3,:b4,:b5,:b6,:b7,:b8,:b9,:b10,:b11,:b12,:b13,:b14,:b15,:b16,:b17,:b18,:b19,:b20,:b21,:b22)

7023 0 1596 MULTIPLE CHILDREN PRESENT 36 36 C82AF1C8 3974744754

这就是写日志记录的代码,这段代码使用了绑定变量,但是version_count却有7023个。也就是这个sql7023个子指针.这是不可想象的。

通过前面几节的研究我们知道,如果这个sql7023个子指针,那么意味着这些子指针都将存在于同一个Bucket的链表上。那么这也就意味着,如果同样SQL再次执行,Oracle将不得不搜索这个链表以寻找可以共享的SQL。这将导致大量的library cache latch的竞争。

这时候我开始猜测原因:

1.可能代码存在问题,在每次执行之前程序修改某些session参数,导致sql不能共性

2.可能是8.1.5v$sqlarea记录存在问题,我们看到的结果是假象:)

3.Bug

Ok,我们的诊断不能停。最直接的我dump内存来看:

SQL> ALTER SESSION SET EVENTS 'immediate trace name LIBRARY_CACHE level 4';

察看trace文件得到如下结果(摘录包含该段代码的片断):

BUCKET 21049:

LIBRARY OBJECT HANDLE: handle=c82af1c8

name=

insert into sms_log (MSGDATE,MSGTIME,MSGID,MSGKIND,MSGTYPE,MSGTYPE_MOMT,MSGLEN,

MSGSTATUS,AREAID,IFIDDEST,IFIDSRC,ADDRSRC,ADDRDEST,ADDRFEE,ADDRUSER,

SERVICECODE,PLANID,FEETYPE,FEEVALUE,DATACODING,FLAGS,SMLEN,SMCONT) values

(:b0,:b1,:b2,:b3,:b4,:b5,:b6,:b7,:b8,:b9,:b10,:b11,:b12,:b13,:b14,:b15,:b16,:b17,:b18,:b19,:b20,:b21,:b22)

hash=ece9cab2 timestamp=09-09-2004 12:51:29

namespace=CRSR flags=RON/TIM/PN0/LRG/[10010001]

kkkk-dddd-llll=0000-0001-0001 lock=N pin=S latch=5

lwt=c82af1e0[c82af1e0,c82af1e0] ltm=c82af1e8[c82af1e8,c82af1e8]

pwt=c82af1f8[c82af1f8,c82af1f8] ptm=c82af250[c82af250,c82af250]

ref=c82af1d0[c82af1d0,c82af1d0]

LIBRARY OBJECT: object=c1588e84

type=CRSR flags=EXS[0001] pflags= [00] status=VALD load=0

CHILDREN: size=7024

child# table reference handle

------ -------- --------- --------

0 c1589040 c1589008 c668c2bc

1 c1589040 bfd179c4 c6ec9ee8

2 c1589040 bfd179e0 c2dd9b3c

3 c1589040 bfd179fc c5a46614

4 c1589040 bfd17a18 c35f1388

5 c1589040 bfd17a34 c77401bc

6 c1589040 bfd17a50 c4092838

7 c1589040 bfddb310 c6cd5258

8 c1589040 bfddb32c c63c6650

9 c1589040 bfddb348 c7e4e3d0

10 c1589040 bfddb364 c4c4b110

11 c1589040 bfddb380 c5950348

12 c1589040 bfddb39c c6c33aa4

13 c1589040 bfddb3b8 c672b0bc

...........................................

.....ignore losts of child cursor here.....

...........................................

7001 bf595bc8 c641fba0 c6467890

7002 bf595bc8 c641fbbc c3417168

7003 bf595bc8 c641fbd8 c3417bb0

7004 bf595bc8 c641fbf4 c2fdccbc

7005 bf595bc8 c641fc10 c7f7ca50

7006 bf595bc8 c641fc2c c7f508ec

7007 bf595bc8 c641fc48 c268d8d8

7008 c641fcb8 c641fc64 bec61ed8

7009 c641fcb8 c641fc80 c4a6cc5c

7010 c641fcb8 c641fc9c c1a8aa34

7011 c641fcb8 c0ae4ea0 c0ae4ddc

7012 c641fcb8 c0ae4ebc bd55fe60

7013 c641fcb8 c0ae4ed8 c226914c

7014 c641fcb8 c0ae4ef4 c51dd2e0

7015 c641fcb8 c0ae4f10 c480c468

7016 c641fcb8 c0ae4f2c c60196d0

7017 c641fcb8 c0ae4f48 c4675d2c

7018 c641fcb8 c0ae4f64 bd5e2750

7019 c641fcb8 c0ae4f80 c09b1bb0

7020 c641fcb8 c0ae4f9c bf2d6044

7021 c641fcb8 c0ae4fb8 c332c1c4

7022 c641fcb8 c0ae4fd4 cbdde0f8

DATA BLOCKS:

data# heap pointer status pins change

----- -------- -------- ------ ---- ------

0 c3ef2c50 c1588f08 I/P/A 0 NONE

这里确实存在7023个子指针

查询v$sql得到相同的结果:

SQL> select CHILD_NUMBER,EXECUTIONS,OPTIMIZER_MODE,OPTIMIZER_COST,PARSING_USER_ID,

2 PARSING_SCHEMA_ID,ADDRESS,HASH_VALUE

3 from v$sql where HASH_VALUE='3974744754';

CHILD_NUMBER EXECUTIONS OPTIMIZER_ OPTIMIZER_COST PARSING_USER_ID PARSING_SCHEMA_ID ADDRESS HASH_VALUE

------------ ---------- ------ ---------- ------------- ------------ -------- ----------

0 12966 CHOOSE 238150 36 36 C82AF1C8 3974744754

1 7111 CHOOSE 238150 36 36 C82AF1C8 3974744754

2 9160 CHOOSE 238150 36 36 C82AF1C8 3974744754

3 9127 CHOOSE 238150 36 36 C82AF1C8 3974744754

4 8109 CHOOSE 238150 36 36 C82AF1C8 3974744754

5 4386 CHOOSE 238150 36 36 C82AF1C8 3974744754

6 4913 CHOOSE 238150 36 36 C82AF1C8 3974744754

7 3764 CHOOSE 238150 36 36 C82AF1C8 3974744754

8 3287 CHOOSE 238150 36 36 C82AF1C8 3974744754

9 3156 CHOOSE 238150 36 36 C82AF1C8 3974744754

.....

7015 1 CHOOSE 238150 36 36 C82AF1C8 3974744754

7016 1 CHOOSE 238150 36 36 C82AF1C8 3974744754

7017 0 CHOOSE 238150 36 36 C82AF1C8 3974744754

7018 9396 NONE 0 0 C82AF1C8 3974744754

7019 5008 CHOOSE 237913 36 36 C82AF1C8 3974744754

来自 “ ITPUB博客 ” ,链接:http://blog.itpub.net/9417382/viewspace-937434/,如需转载,请注明出处,否则将追究法律责任。

user_pic_default.png
请登录后发表评论 登录
全部评论
<%=items[i].createtime%>

<%=items[i].content%>

<%if(items[i].items.items.length) { %>
<%for(var j=0;j
<%=items[i].items.items[j].createtime%> 回复

<%=items[i].items.items[j].username%>   回复   <%=items[i].items.items[j].tousername%><%=items[i].items.items[j].content%>

<%}%> <%if(items[i].items.total > 5) { %>
还有<%=items[i].items.total-5%>条评论 ) data-count=1 data-flag=true>点击查看
<%}%>
<%}%> <%}%>

转载于:http://blog.itpub.net/9417382/viewspace-937434/

这个是完整源码 python实现 Django 【python毕业设计】基于Python的天气预报(天气预测分析)(Django+sklearn机器学习+selenium爬虫)可视化系统.zip 源码+论文+sql脚本 完整版 数据库是mysql 本研究旨在开发一个基于Python的天气预报可视化系统,该系统结合了Django框架、sklearn机器学习库和Selenium爬虫技术,实现对天气数据的收集、分析和可视化。首先,我们使用Selenium爬虫技术从多个天气数据网站实时抓取气象数据,包括温度、湿度、气压、风速等多项指标。这些数据经过清洗和预处理后本研究旨在开发一个基于Python的天气预报可视化系统,该系统结合了Django框架、sklearn机器学习库和Selenium爬虫技术,实现对天气数据的收集、分析和可视化。首先,我们使用Selenium爬虫技术从多个天气数据网站实时抓取气象数据,包括温度、湿度、气压、风速等多项指标。这些数据经过清洗和预处理后,将其存储在后端数据库中,以供后续分析。 其次,采用s,将其存储在后端数据库中,以供后续分析。 其次,采用sklearn机器学习库构建预测模型,通过时间序列分析和回归方法,对未来天气情况进行预测。我们利用以往的数据训练模型,以提高预测的准确性。通过交叉验证和超参数优化等技术手段,我们优化了模型性能,确保其在实际应用中的有效性和可靠性。 最后,基于Django框架开发前端展示系统,实现天气预报的可视化。用户可以通过友好的界面查询实时天气信息和未来几天内的天气预测。系统还提供多种图表类型,包括折线图和柱状图,帮助用户直观理解天气变化趋势。 本研究的成果为天气预报领域提供了一种新的技术解决方案,不仅增强了数据获取和处理的效率,还提升了用户体验。未来,该系统能够扩展至其他气象相关的应用场景,为大众提供更加准确和及时的气象服务。
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符  | 博主筛选后可见
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值