java/1919: print calls the wrong method in a class in a shared library

[greenrd at greenrd dot org]

>Number:         1919
>Category:       java
>Synopsis:       print calls the wrong method in a class in a shared library
>Confidential:   no
>Severity:       serious
>Priority:       medium
>Responsible:    unassigned
>State:          open
>Class:          sw-bug
>Submitter-Id:   net
>Arrival-Date:   Thu Apr 14 17:38:06 UTC 2005
>Closed-Date:
>Last-Modified:
>Originator:     greenrd@greenrd.org
>Release:        6.3.50.20050413
>Organization:
>Environment:
Fedora Core 4 test 1
>Description:
In the test case below, the wrong method is called when the gdb command

(gdb) print this.getDelegate()

is given. A method of a different name from a superclass (java::lang::ClassLoader::loadClass) is called instead - and because no arguments apart from the implicit "this" were provided, that method bails out. (The getDelegate method simply returns true, and getDelegate does not exist in any of the superclasses, so it is impossible for getDelegate to call any other method.)

However, as can be seen from the testcase, setting a breakpoint on the same method, getDelegate, does work. (The breakpoint command presumably does a static lookup, rather than dynamic instance-based lookup like the print command above.)
>How-To-Repeat:
The gcc-java runtime (libgcj) >= 4.0, and gcj-dbtool from gcc-java, are _required_ to run this test case. I have included binaries so it is not necessary to install the full gcc-java compiler.

Untar attachment with: tar xfz invocation.tgz

Run build-and-run.sh.

That will compile the code, do the necessary setup, and put you in gdb. Then enter the commands shown in the session below:

GNU gdb 6.3.50.20050413
Copyright 2004 Free Software Foundation, Inc.
GDB is free software, covered by the GNU General Public License, and you are
welcome to change it and/or distribute copies of it under certain conditions.
Type "show copying" to see the conditions.
There is absolutely no warranty for GDB.  Type "show warranty" for details.
This GDB was configured as "i686-pc-linux-gnu"...(no debugging symbols found)
Using host libthread_db library "/lib/libthread_db.so.1".
(no debugging symbols found)

(gdb) b 'MyClassLoader.getDelegate()'
Function "MyClassLoader.getDelegate()" not defined.
Make breakpoint pending on future shared library load? (y or [n]) y
Breakpoint 1 ('MyClassLoader.getDelegate()') pending.
(gdb) run
Starting program: /usr/bin/gij -Dgnu.gcj.precompiled.db.path=myclassloader.db TestCase
(no debugging symbols found)
(no debugging symbols found)
[Thread debugging using libthread_db enabled]
[New Thread -1208195392 (LWP 9321)]
[New Thread -1210324048 (LWP 9333)]
Breakpoint 2 at 0x111749: file MyClassLoader.java, line 11.
Pending breakpoint "'MyClassLoader.getDelegate()'" resolved
[Switching to Thread -1208195392 (LWP 9321)]

Breakpoint 2, MyClassLoader.getDelegate() (this=@79e00) at MyClassLoader.java:11
11          return true;
Current language:  auto; currently java
(gdb) print this.getDelegate()

Program received signal SIGSEGV, Segmentation fault.
0x06939e29 in java::lang::ClassLoader::loadClass () from /usr/lib/libgcj.so.6
The program being debugged was signaled while in a function called from GDB.
GDB remains in the frame where the signal was received.
To change this behavior use "set unwindonsignal on"
Evaluation of the expression containing the function (java::lang::ClassLoader::loadClass(java::lang::String*)) will be abandoned.
(gdb) bt
#0  0x06939e29 in java::lang::ClassLoader::loadClass () from /usr/lib/libgcj.so.6
#1  <function called from gdb>
#2  MyClassLoader.getDelegate() (this=@79e00) at MyClassLoader.java:11
#3  0x06c59607 in ffi_call_SYSV () from /usr/lib/libgcj.so.6
#4  0x06c595c9 in ffi_raw_call () from /usr/lib/libgcj.so.6
#5  0x0690030e in _Jv_InterpMethod::run () from /usr/lib/libgcj.so.6
#6  0x06903b58 in _Jv_InterpMethod::run_class () from /usr/lib/libgcj.so.6
#7  0x06c5947c in ffi_prep_closure () from /usr/lib/libgcj.so.6
#8  0x06917dcd in gnu::java::lang::MainThread::call_main () from /usr/lib/libgcj.so.6
#9  0x069aac8a in gnu::java::lang::MainThread::run () from /usr/lib/libgcj.so.6
#10 0x06926f2f in _Jv_ThreadRun () from /usr/lib/libgcj.so.6
#11 0x068ec981 in _Jv_RunMain () from /usr/lib/libgcj.so.6
#12 0x002ed9cd in main () from /usr/lib/libgij.so.6
#13 0x00185dd6 in __libc_start_main (main=0x80483f4 <main>, argc=3, ubp_av=@bfde2944, init=0x80484d8 <__libc_csu_init>,
    fini=0x8048528 <__libc_csu_fini>, rtld_fini=0x161c00 <_dl_fini>, stack_end=@bfde293c) at ../sysdeps/generic/libc-start.c:228
#14 0x08048455 in _start ()
(gdb)

The build-and-run.sh script also contains an alternate build procedure, which does not trigger this problem, so it may in fact be a bug in gcj or gij.
>Fix:

>Release-Note:
>Audit-Trail:
>Unformatted:
----gnatsweb-attachment----
Content-Type: application/x-gzip; name="invocation.tgz"
Content-Transfer-Encoding: base64
Content-Disposition: attachment; filename="invocation.tgz"
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