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Linux Processes: Structure, Hangs and Core Dumps

Efficient and effective resolution practices

Using multithreaded processes has its advantages. Threading allows for better processor loading and memory utilization. A drawback is that it also significantly increases the program's complexity. On a single-CPU machine, a multithreaded program for the most part performs no better than a single-threaded program. However, well-designed multithreaded applications executed on a Symmetric Multi-Processor (SMP) machine can have each thread executing in parallel, thereby significantly increasing application performance.

Threaded application performance is enhanced by the fact that threads share resources. Different types of processes share resources in different ways. The initial process is referred to as the heavyweight process (HWP), which is a prerequisite for lightweight processes. Traditionally, a thread of a process is referred to as a lightweight process (LWP), as mentioned earlier. The main difference between these two is how they share their resources. Simply stated, when an HWP forks a new process, the only thing that is shared is the parent's text. If an HWP must share information with another HWP, it uses techniques such as pipes, PF_UNIX (UNIX sockets), signals, or interprocess communication's (IPCS) shared memory, message queues, and semaphores. On the other hand, when an HWP creates an LWP, these processes share the same address space (except the LWP's private stack), thus making utilization of system resources more efficient.

Note that although several forms of threads exists, such as user space GNU Portable Threads (PTH) and DCE threads, in this chapter, we only cover the concept of POSIX threads because they are the most commonly used threads in the industry. POSIX threads are implemented by the pthread library. The use of POSIX threads ensures that programs will be compatible with other distributions, platforms, and OSs that support POSIX threads. These threads are initiated by the pthread_create() system call; however, the Linux kernel uses the clone() call to create the threads. As implied by its name, it clones the task. Just as fork() creates a separate process structure, clone() creates a new task/thread structure by cloning the parent; however, unlike fork(), flags are set that determine what structures are cloned. Only a select few flags of the many flags available are required to make the thread POSIX compliant.

The Linux kernel treats each thread as an individual task that can be displayed with the ps command. At first, this approach might seem like a large waste of system resources, given that a process could have a great number of threads, each of which would be a clone of the parent. However, it's quite trivial because most task structures are kernel objects, which enables the individual threads to just reference the address space. An example is the HWP's file descriptor table. With clone(), all threads just reference the kernel structure by using the flag CLONE_FILES.

With help from developers from around the world, the Linux kernel is developing at an extraordinary rate. A prime example is the fork() call. With the IA-64 Linux kernel, the fork() call actually calls clone2(). In addition, pthread_create() also calls clone2(). The clone2() system call adds a third argument, ustack_size. Otherwise, it is the same as clone(). With the IA-32 2.6 kernel release, the fork() call has been replaced with the clone() call. The kernel clone() call mimics fork() by adjusting clone() flags.

Detailed next are examples of tasks and threads being created on different versions and distributions of Linux:

  • IA-32 (2.4.19) Fork call
    2970 fork() = 3057 <-- The PID for the new HWP
  • IA-32 (2.4.19) Thread creation
    3188 clone(child_stack=0x804b8e8, flags=CLONE_VM|CLONE_FS|CLONE_FILES|CLONE_SIGHAND) = 3189 <-- LWP
  • IA-32 (2.6.3) Fork call
    12383 clone(child_stack=0, flags=CLONE_CHILD_CLEARTID|CLONE_CHILD_SETTID|SIGCHLD, child_tidptr=0x4002cba8) = 12499 <-- HWP
  • IA-32 (2.6.3) Thread creation
    12440 <... clone resumed> child_stack=0x42184b08, flags=CLONE_VM|CLONE_FS|CLONE_ FILES|CLONE_SIGHAND|CLONE_THREAD|CLONE_SYSVSEM|CLONE_SETTLS |CLONE_PARENT_SETTID|CLONE_CHILD_CLEARTID|CLONE_DETACHED, parent_tidptr=0x42184bf8, {en try_number:6, base_addr:0x42184bb0, limit:1048575, s eg_32bit:1, contents:0, read_exec_only:0, limit_in_pages:1, seg_not_present:0, useable:1}, child_tidptr=0x42184bf8) = 12444 <--LWP
  • IA-64 (2.4.21) Fork call
    24195 clone2(child_stack=0, stack_size=0, flags=CLONE_CHILD_CLEARTID|CLONE_CHILD_SETTID|SIGCHLD, child_tidptr=0x200000000002cdc0) = 24324 <--HWP
  • IA-64 (2.4.21) Thread creation
    24359 clone2(child_stack=0x20000000034f4000, stack_size=0x9ff240, flags=CLONE_VM|CLONE_ FS|CLONE_FILES|CLONE_SIGHAND|CLONE_THREAD|CLONE_SYSV SEM|CLONE_SETTLS|CLONE_PARENT_SETTID|CLONE_CHILD_CLEARTID|CLONE_DETACHED, parent_tidptr=0x 2000000003ef3960, tls=0x2000000003ef3f60, child_tidptr=0x2000000003ef3960) = 24365 <--LWP
As the previous examples show, the kernel clone() call creates threads, whereas clone2() creates threads, new processes, or both. In addition, the previous traces reveal the creation of threads and the flags needed to make them POSIX compliant, as defined in the next listing.

clone(child_stack=0x804b8e8, flags=CLONE_VM|CLONE_FS|CLONE_FILES|CLONE_SIGHAND)
child_stack:     Unique process stack
CLONE_VM :     Parent and child run in the same address space
CLONE_FS:     Parent and child share file system info
CLONE_FILES:     Parent and child share open file table
CLONE_SIGHAND:     Parent and child share signal handlers

Identifying Threads
As previously discussed, the ps command lists all tasks in Linux, preventing the user from distinguishing the HWP from the LWP. At approximately the 2.4.9 kernel release, the Task Group ID (tgid) was added to fs/proc/array.c. This placed a task's tgid in the /proc/<pid>/status file. A key point is that the tgid is equal to the HWP's PID. This new feature enables users to identify threads of a multithreaded process with ease. Reviewing the source, we see:

# ./fs/proc/array.c
...
static inline char * task_state(struct task_struct *p, char *buffer)
{
    int g;
    read_lock(&tasklist_lock);
    buffer += sprintf(buffer,
       "State:\t%s\n"
       "Tgid:\t%d\n"
       "Pid:\t%d\n"
       "PPid:\t%d\n"
       "TracerPid:\t%d\n"
       "Uid:\t%d\t%d\t%d\t%d\n"
       "Gid:\t%d\t%d\t%d\t%d\n",
       get_task_state(p), p->tgid,
...


More Stories By James Kirkland

James Kirkland is the advocate for Red Hat's initiatives and solutions for the Internet of Things(IoT) and is the architect of its three-tier strategy for IoT deployments. For the past five years, James has been focused on IoT solutions for the transportation and energy sectors. A frequent public speaker and writer on a wide range of technical topics, James is also the co-author of Linux Troubleshooting for System Administrators and Power Users (ISBN: 0131855158) published by Prentice Hall PTR. He has been working with UNIX and Linux variants over the course of 20 years in his positions at Red Hat, and in previous roles at Racemi and Hewlett-Packard.

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David Carmichael works for Hewlett-Packard as a technical problem manager in Alpharetta, Georgia. He earned a bachelors degree in computer science from West Virginia University in 1987 and has been helping customers resolve their IT problems ever since. David has written articles for HP's IT Resource Center (http://itrc.hp.com) and presented at HP World 2003.

More Stories By Greg Tinker

Greg Tinker began his career while at Bellsouth in Atlanta, Georgia. Greg joined Hewlett-Packard in 1999. Greg's primary role is as a storage business recovery specialist and has participated in HP World, taught several classes in Unix/Linux and Disk Array technology, and obtained various certifications including certifications in Advanced Clusters, SAN, and Linux.

More Stories By Chris Tinker

Chris Tinker began his career in computers while working as a Unix System Administrator for Lockheed Martin in Marietta, Georgia. Chris joined Hewlett-Packard in 1999. Chris's primary role at HP is as a senior software business recovery specialist and has participated in HP World, taught several classes in Unix/Linux and Disk Array technology, and obtained various certifications including certifications in Advanced Clusters, SAN, and Linux.

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Most Recent Comments
Linux News Desk 07/13/06 04:59:25 PM EDT

Troubleshooting a Linux process follows the same general methodology as that used with traditional UNIX systems. In both systems, for process hangs, we identify the system resources being used by the process and attempt to identify the cause for the process to stop responding. With application core dumps, we must identify the signal for which the process terminated and proceed with acquiring a stack trace to identify system calls made by the process at the time it died. There exists neither a 'golden' troubleshooting path nor a set of instructions that can be applied for all cases. Some conditions are much easier to solve than others, but with a good understanding of the fundamentals, a solution is not far from reach.

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