我对使用iOS崩溃日志感到有些新意 - 我对基于应用程序的崩溃日志非常熟悉,因为它们很容易符号化,但我仍然在试图弄清楚如何读取由看门狗超时。需要说明的是,这些超时是由我正在编写的Notification Center小部件引起的,该小部件作为SpringBoard进程的一部分运行。超时通常是由我的代码中的错误引起的(即访问解除分配的对象),但是在看门狗触发respring之前,SpringBoard只是挂起2分钟而不是获得常规的崩溃和崩溃日志。
所以我想我的问题是双重的。首先,为什么当我的代码出错时,SpringBoard只是挂起而不是崩溃(因此给我一个更有用的崩溃日志)?第二,如何利用看门狗超时日志来找出代码中问题的根源?我尝试使用我的makefile中设置的-g
标志和DEBUG=1
选项编译我的代码(使用theos),并启用syslogd
,但这些都没有影响监视器的输出不幸的是,超时日志。也许我只是遗漏了一些东西,但我无法弄清楚如何利用这些日志中的信息,或者如何使它们提供比那里更有用的信息。
以下是来自看门狗超时的示例日志,供参考。我试图只抓取日志的相关部分,但如果需要,我可以提供整个日志。
Hardware Model: iPhone3,1
OS Version: iPhone OS 5.0.1 (9A405)
Kernel version: Darwin Kernel Version 11.0.0: Tue Nov 1 20:33:58 PDT 2011; root:xnu-1878.4.46~1/RELEASE_ARM_S5L8930X
Date: 2012-01-25 17:38:35 -0800
Exception Code: 0xfaded321
Reason: Watchdog timeout: 120.021790s since last successful ping: 3506u0 3406m0 3406u0 3306m0 3306u0 3206m0 3206u0 3106m0 3106u0 3006m0 3006u0 2903m0 2903u0 2800m0 2800u0 2700m0 2700u0 2600m0 2600u0 2500m0 2500u0 2400m0 2400u0 2300m0 2300u0 2200m0 2200u0 2100m0 2100u0 2000m0 2000u0 1900m0 1900u0 1800m0 1800u0 1700m0 1700u0 1600m0 1600u0 1500m0 1500u0 1400m0 1400u0 1300m0 1300u0 1200m0 1200u0 1000m10004003 1000u0 1000u0 800m10004003 800u0 800u0 600m10004003 600u0 600u0 400m10004003 400u0 400u0 200m10004003 200u0 200u0 0m10000004 0c1328
Thermal Level: 0
Thermal Sensors: 2435 2353 5146 2839 2348 2821 2544 2406 2935 2635 32768 2 2736 2703 2430 2435 2421 2436 1973 1834 1971
Frontmost process PID: 4904
Jetsam Level: 20
Free Pages: 15086
Active Pages: 7397
Inactive Pages: 3351
Purgeable Pages: 1992
Wired Pages: 15818
Speculative Pages: 1772
Throttled Pages: 85667
Busy Buffer Count: 0
Process 0 info:
resident memory bytes: 44748800
page faults: 3189
page-ins: 0
copy-on-write faults: 0
user time in task: 151641.651106 seconds
system time in task: 0.000000 seconds
Process 0 kernel_task threads:
thread 0x1 TH_WAIT|TH_UNINT 0x802e0158
thread priority: 92
thread sched flags: none
kernel cont 8005aa29
user time in thread: 11.050610 seconds
system time in thread: 0.000000 seconds
// Continues in this format for a while...
...
// SpringBoard process log
Process 4904 info:
Frontmost
resident memory bytes: 63995904
page faults: 932726
page-ins: 17055
copy-on-write faults: 5881
user time in task: 883.320096 seconds
system time in task: 0.000000 seconds
Process 4904 binary images:
0xf6000 <7506c20d86da3f1dbe9bf38f8bda253d>
0x386000 <cf2cce379dcd3a4c970e3196b908b0b6>
0x3cd000 <30381ec9e24c3c289f447bf428bda2c1>
0x500000 <8a7d931c6871371e8c011cb2b9d60a4b>
0x511000 <4cd6f668c82c3232a60da2f40737bb7b>
0x3f1000 <fd9fcb38af01393f888320f2a67d9d8d>
0x3f5000 <d375337d03a7324c9cfb608b7231eeea>
0x639000 <ee905d084b7a3ee1b8d5ddf3a0d2dc2d>
0x3fc000 <72f867f586cb34bd94ea52e2b1582b8d>
0x642000 <87085dc54e1f324cad66b1e07d504fee>
0x64e000 <25608ce0a9e23bd5a78415481897f8bc>
0x653000 <af0bbe7579b13d14aee2fc8967e3c933>
0x1993000 <afb6041043ca3935b08e00630906d9b2>
0x1997000 <c755a0ab2ec43860931bc844b358df2d>
0x1a35000 <b2f2268e166838f286a5838cc243bd01>
0x1a42000 <0a8f131d01f63458846f0b016a88f080>
0x1a58000 <97daf7f3c6cd34359e7c63ce16b33e6e>
0x1aa8000 <bdc6016e1f9e3552b41fc6feced31050>
0x3a3000 <36a26644e27f3bb7b5b2c8157df7dba2>
0x3a7000 <a9101c6d02d33f128837bb355e8bfc4b>
0x3aa000 <aa58ea5c933232d99b51b4192dc8f180>
0x3ad000 <f5f9138532993ca1959bf0973a5de0fd>
0x1aba000 <943484dfa081c192ec89f3f2329b085a>
0x3b4000 <aa0b4733baee386ab29bfcbd74beaa57>
0x3c0000 <dfda867ef28e362bb67a734199725a72>
0x1ad2000 <bba657e1bd09bab5f888545db2928786>
0x1ad7000 <fe21097b2cb83481a70c9ab877af55e3>
0x1ae1000 <ad65601afce130f3abf98b3279fad9ce>
0x1ae5000 <d138ce2db8b033aba6119acf3d561535>
0x4dab000 <45d7c264810c364b976dba254572d73d>
0x4ee8000 <cf8b322a0143350eb7bb7146c90c72d9>
0x4f7f000 <d203aed2bda137bb9cd5799e8d8fd480>
0x7325000 <199f52167001328a8e76735cd1f6c12a>
0x67f5000 <dc67fb590cb49f466ef7e82a3f44de28>
0x6f62000 <b00c29872f767a3a993ef2e7724af2e8>
0x681f000 <c4d71529a1d51704706fffa892c4f5d4>
0x6834000 <9d55da6026ab3f9574a9c9950794f0c0>
0x6867000 <9f0179854929b62ee16f5aeed620c303>
0x7375000 <892ebb5b3528fa70720361182fe71fe8>
0x6894000 <d7a840f7a771adea76922c6ecd09de95>
0x7379000 <1d40433bbdf09c726cc36edd0894bc03>
0x737e000 <9ef7d722cc04353aad958c6e2f4a3cf7>
0x738f000 <4c8273a6631135ee817d250488e2c3a8>
0x7b41000 <2f8d756ef0223c02b924ddd707315c5b>
0x7b48000 <734a26aa647d3b76b9f2c497f787bde2>
0x7b5a000 <563cf37a7e5b39de8c2fe7e7428a8b0e>
0x7c10000 <ede34c56929f3722b575b295964ddbcb>
0x7d7a000 <ccec053d8f2a3893840565eb19e2401f>
0x7ec2000 <4d06e894046a33818ac5458a29a744f1>
0x619a000 <6525fe796904390bb5a10d71d3ecd11f>
0x61a5000 <3fc0a7cfe9593de39f1295fd34e3c3a8>
0x61a8000 <15c155566d4637de9db0fca6a4a4d909>
0x61bb000 <f3f4ff89e340da2ceb563577d11c6701>
0x6a26000 <b1c8b77244c8317493bdb5db5adba8bb>
0x61c1000 <46f5d93c6ba0382891f35b04740e7a77>
0x6ad8000 <303c7dd64de03ce1a1d34f055c38f5c9>
0x662f000 <402f53a8b8963879a352a1c799d04536>
0x69bd000 <dea93838279539519f94dc6ee85e74ce>
0x69a9000 <54c6fb4190093744b2096fb99c6ac6ca>
0x568000 <8826a6e7f75f80ec2d99607e8d702d8e>
Process 4904 SpringBoard threads:
thread 0x2f43e TH_WAIT 0
thread priority: 22
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x376818cb 0x376802f7 0x376809ad 0x3767ed03 0x3767ebcd 0x36dc5bf9 0x36dc574d 0x33d5aab3 0x33cb5680 0x36dbc73d 0x3f21c4 0x33cb7803 0x3572d50f 0x33d24577 0x33cb00cf 0x356a13fb 0x36dbd7cb 0x36dbd6f9 0x36dc7183 0x376723e1 0x33d2c553 0x33d2c4f5 0x33d2b343 0x33cae4dd 0x33cae3a5 0x30532fcd 0x3712f743 0xf9a33 0xf9074
user time in thread: 393.531235 seconds
system time in thread: 0.000000 seconds
thread 0x2f44b TH_WAIT 0
thread priority: 33
thread sched flags: none
kernel cont 80199e39
user 0x35c633b4 0x3698de7f 0x3698db9d 0
user time in thread: 3.898458 seconds
system time in thread: 0.000000 seconds
thread 0x2f450 TH_WAIT 0
thread priority: 55
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x348ca5bb 0x34919e6d 0x32afec1d 0x32afead8
user time in thread: 15.476818 seconds
system time in thread: 0.000000 seconds
thread 0x2f451 TH_WAIT 0
thread priority: 54
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33d2b47b 0x348f5573 0x34919e6d 0x32afec1d 0x32afead8
user time in thread: 0.000361 seconds
system time in thread: 0.000000 seconds
thread 0x2f452 TH_WAIT 0
thread priority: 31
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33cae3a5 0x356a2b85 0x356bc533 0x3740b3c7 0x357425a1 0x32afec1d 0x32afead8
user time in thread: 3.802697 seconds
system time in thread: 0.000000 seconds
thread 0x2f453 TH_WAIT 0
thread priority: 30
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33cae3a5 0x3618212f 0x32afec1d 0x32afead8
user time in thread: 0.781208 seconds
system time in thread: 0.000000 seconds
thread 0x2f45c TH_WAIT 0
thread priority: 54
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33d2b47b 0x348f5573 0x34919e6d 0x32afec1d 0x32afead8
user time in thread: 343.767086 seconds
system time in thread: 0.000000 seconds
thread 0x2f460 TH_WAIT 0
thread priority: 31
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x35c643e3 0x302e2f85 0x32afec1d 0x32afead8
user time in thread: 0.050931 seconds
system time in thread: 0.000000 seconds
thread 0x2f461 TH_WAIT 0
thread priority: 63
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33d2b47b 0x302e0a17 0x32afec1d 0x32afead8
user time in thread: 58.461374 seconds
system time in thread: 0.000000 seconds
thread 0x2f468 TH_WAIT 0
thread priority: 31
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33cae3a5 0x169175 0x32afec1d 0x32afead8
user time in thread: 0.497826 seconds
system time in thread: 0.000000 seconds
thread 0x2f469 TH_WAIT 0
thread priority: 31
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33cae3a5 0x16902f 0x32afec1d 0x32afead8
user time in thread: 0.000296 seconds
system time in thread: 0.000000 seconds
thread 0x2f46c TH_WAIT 0x86369178
thread priority: 47
thread sched flags: none
kernel cont 801d89e9
user 0x35c73068 0x32afef35 0x32afecb1 0x31c5a007 0x34abdfc1 0x31c79bcd 0x32afec1d 0x32afead8
user time in thread: 0.000439 seconds
system time in thread: 0.000000 seconds
thread 0x2f4f7 TH_WAIT 0
thread priority: 31
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33cae3a5 0x356a2b85 0x356bc533 0x356aea91 0x357425a1 0x32afec1d 0x32afead8
user time in thread: 0.067711 seconds
system time in thread: 0.000000 seconds
thread 0x2f502 TH_WAIT 0
thread priority: 31
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33cae3a5 0x32dba405 0x32afec1d 0x32afead8
user time in thread: 0.010444 seconds
system time in thread: 0.000000 seconds
thread 0x2f503 TH_WAIT 0
thread priority: 31
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33cae3a5 0x32db96ef 0x32afec1d 0x32afead8
user time in thread: 0.022591 seconds
system time in thread: 0.000000 seconds
thread 0x2f53c TH_WAIT 0
thread priority: 31
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33cae3a5 0x356a2b85 0x356bc533 0x7d7bdbd 0x356aea91 0x357425a1 0x32afec1d 0x32afead8
user time in thread: 0.061308 seconds
system time in thread: 0.000000 seconds
thread 0x2f55d TH_WAIT 0
thread priority: 33
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33cae3a5 0x356aebc9 0x356aea91 0x357425a1 0x32afec1d 0x32afead8
user time in thread: 3.892466 seconds
system time in thread: 0.000000 seconds
thread 0x2f567 TH_WAIT 0
thread priority: 31
thread sched flags: none
kernel cont 801aac09
user 0x35c73570 0x33d30671 0x32afec1d 0x32afead8
user time in thread: 0.294812 seconds
system time in thread: 0.000000 seconds
thread 0x37423 TH_WAIT 0
thread priority: 47
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x34ac3cf9 0x31c79bcd 0x32afec1d 0x32afead8
user time in thread: 0.014877 seconds
system time in thread: 0.000000 seconds
thread 0x3b204 TH_WAIT 0
thread priority: 31
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x33d2c423 0x33d2b15b 0x33cae4dd 0x33cae3a5 0x356a2b85 0x356c7b5f 0x33a84a6b 0x356aea91 0x357425a1 0x32afec1d 0x32afead8
user time in thread: 0.087839 seconds
system time in thread: 0.000000 seconds
thread 0x3d554 TH_WAIT 0x87024e80
thread priority: 33
thread sched flags: none
kernel cont 801dc8a1
user 0x35c73cd4 0x32af9311 0x32af90a4
user time in thread: 0.000450 seconds
system time in thread: 0.000000 seconds
答案 0 :(得分:4)
首先,为什么当我的代码出错时,SpringBoard只是挂起而不是崩溃
代码可能在很多方面都行为不端,我的猜测是你的代码只是陷入了Springboard的主线程。
我没有进行越狱开发,所以我对这些崩溃日志不太熟悉。这是基于数据的猜测
这可能是挂线:
thread 0x2f43e TH_WAIT 0
thread priority: 22
thread sched flags: none
kernel cont 8000f401
user 0x35c63010 0x35c6320d 0x376818cb 0x376802f7 0x376809ad 0x3767ed03 0x3767ebcd 0x36dc5bf9 0x36dc574d 0x33d5aab3 0x33cb5680 0x36dbc73d 0x3f21c4 0x33cb7803 0x3572d50f 0x33d24577 0x33cb00cf 0x356a13fb 0x36dbd7cb 0x36dbd6f9 0x36dc7183 0x376723e1 0x33d2c553 0x33d2c4f5 0x33d2b343 0x33cae4dd 0x33cae3a5 0x30532fcd 0x3712f743 0xf9a33 0xf9074
user time in thread: 393.531235 seconds
system time in thread: 0.000000 seconds
列表十六进制地址(user
)的0x35c63010 0x35c6320d 0x376818cb ...
部分可能是该线程的callstack。
现在你需要象征堆栈。你需要符号。您将使用命令行工具atos
来表示每个地址。请特别注意atos
的以下选项(man atos
以获取更多信息):
-o symbol_file # debugging information output by the compiler this may be a dSYM or the binary itself depending on who you saved symbol information
-l load address # the base address in the process space at which your library is loaded into the springboard process
Also a list of addresses you wish to symbolicate
Usage:
atos -o my.o -l 0xba5eadd 0x37af10a0 0x37af1aaf
使用上面的atos
示例,我们将表示符号为原始二进制的地址0x37af10a0
和0x37af1aaf
。对于崩溃的进程,my.o库将被加载到基址0x37af10a0
。
那么你如何找到基地址?后跟唯一标识符的地址列表看起来像加载到进程中的库列表及其各自的基址。
Process 4904 binary images:
0xf6000 <7506c20d86da3f1dbe9bf38f8bda253d>
0x386000 <cf2cce379dcd3a4c970e3196b908b0b6>
0x3cd000 <30381ec9e24c3c289f447bf428bda2c1>
....
然而,基于callstack数据和二进制图像数据,似乎缺少数据或者我只是遗漏了一些东西。由于前几个地址与加载的库相比相当高。前几个地址是:0x35c63010 0x35c6320d ...
您可以尝试的是atos -o yourlib 0x35c63010 0x35c6320d
。根据库的加载方式,可能工作,因为事情会被加载到地址空间。