Documentation/RCU/listRCU.txt - kernel/msm - Gitiles

 Using RCU to Protect Read-Mostly Linked Lists


 One of the best applications of RCU is to protect read-mostly linked lists
 ("struct list_head" in list.h).  One big advantage of this approach
 is that all of the required memory barriers are included for you in
 the list macros.  This document describes several applications of RCU,
 with the best fits first.


 Example 1: Read-Side Action Taken Outside of Lock, No In-Place Updates

 The best applications are cases where, if reader-writer locking were
 used, the read-side lock would be dropped before taking any action
 based on the results of the search.  The most celebrated example is
 the routing table.  Because the routing table is tracking the state of
 equipment outside of the computer, it will at times contain stale data.
 Therefore, once the route has been computed, there is no need to hold
 the routing table static during transmission of the packet.  After all,
 you can hold the routing table static all you want, but that won't keep
 the external Internet from changing, and it is the state of the external
 Internet that really matters.  In addition, routing entries are typically
 added or deleted, rather than being modified in place.

 A straightforward example of this use of RCU may be found in the
 system-call auditing support.  For example, a reader-writer locked
 implementation of audit_filter_task() might be as follows:

 	static enum audit_state audit_filter_task(struct task_struct *tsk)
 	{
 		struct audit_entry *e;
 		enum audit_state   state;

 		read_lock(&auditsc_lock);
 		list_for_each_entry(e, &audit_tsklist, list) {
 			if (audit_filter_rules(tsk, &e->rule, NULL, &state)) {
 				read_unlock(&auditsc_lock);
 				return state;
 			}
 		}
 		read_unlock(&auditsc_lock);
 		return AUDIT_BUILD_CONTEXT;
 	}

 Here the list is searched under the lock, but the lock is dropped before
 the corresponding value is returned.  By the time that this value is acted
 on, the list may well have been modified.  This makes sense, since if
 you are turning auditing off, it is OK to audit a few extra system calls.

 This means that RCU can be easily applied to the read side, as follows:

 	static enum audit_state audit_filter_task(struct task_struct *tsk)
 	{
 		struct audit_entry *e;
 		enum audit_state   state;

 		rcu_read_lock();
 		list_for_each_entry_rcu(e, &audit_tsklist, list) {
 			if (audit_filter_rules(tsk, &e->rule, NULL, &state)) {
 				rcu_read_unlock();
 				return state;
 			}
 		}
 		rcu_read_unlock();
 		return AUDIT_BUILD_CONTEXT;
 	}

 The read_lock() and read_unlock() calls have become rcu_read_lock()
 and rcu_read_unlock(), respectively, and the list_for_each_entry() has
 become list_for_each_entry_rcu().  The _rcu() list-traversal primitives
 insert the read-side memory barriers that are required on DEC Alpha CPUs.

 The changes to the update side are also straightforward.  A reader-writer
 lock might be used as follows for deletion and insertion:

 	static inline int audit_del_rule(struct audit_rule *rule,
 					 struct list_head *list)
 	{
 		struct audit_entry  *e;

 		write_lock(&auditsc_lock);
 		list_for_each_entry(e, list, list) {
 			if (!audit_compare_rule(rule, &e->rule)) {
 				list_del(&e->list);
 				write_unlock(&auditsc_lock);
 				return 0;
 			}
 		}
 		write_unlock(&auditsc_lock);
 		return -EFAULT;		/* No matching rule */
 	}

 	static inline int audit_add_rule(struct audit_entry *entry,
 					 struct list_head *list)
 	{
 		write_lock(&auditsc_lock);
 		if (entry->rule.flags & AUDIT_PREPEND) {
 			entry->rule.flags &= ~AUDIT_PREPEND;
 			list_add(&entry->list, list);
 		} else {
 			list_add_tail(&entry->list, list);
 		}
 		write_unlock(&auditsc_lock);
 		return 0;
 	}

 Following are the RCU equivalents for these two functions:

 	static inline int audit_del_rule(struct audit_rule *rule,
 					 struct list_head *list)
 	{
 		struct audit_entry  *e;

 		/* Do not use the _rcu iterator here, since this is the only
 		 * deletion routine. */
 		list_for_each_entry(e, list, list) {
 			if (!audit_compare_rule(rule, &e->rule)) {
 				list_del_rcu(&e->list);
 				call_rcu(&e->rcu, audit_free_rule, e);
 				return 0;
 			}
 		}
 		return -EFAULT;		/* No matching rule */
 	}

 	static inline int audit_add_rule(struct audit_entry *entry,
 					 struct list_head *list)
 	{
 		if (entry->rule.flags & AUDIT_PREPEND) {
 			entry->rule.flags &= ~AUDIT_PREPEND;
 			list_add_rcu(&entry->list, list);
 		} else {
 			list_add_tail_rcu(&entry->list, list);
 		}
 		return 0;
 	}

 Normally, the write_lock() and write_unlock() would be replaced by
 a spin_lock() and a spin_unlock(), but in this case, all callers hold
 audit_netlink_sem, so no additional locking is required.  The auditsc_lock
 can therefore be eliminated, since use of RCU eliminates the need for
 writers to exclude readers.

 The list_del(), list_add(), and list_add_tail() primitives have been
 replaced by list_del_rcu(), list_add_rcu(), and list_add_tail_rcu().
 The _rcu() list-manipulation primitives add memory barriers that are
 needed on weakly ordered CPUs (most of them!).

 So, when readers can tolerate stale data and when entries are either added
 or deleted, without in-place modification, it is very easy to use RCU!


 Example 2: Handling In-Place Updates

 The system-call auditing code does not update auditing rules in place.
 However, if it did, reader-writer-locked code to do so might look as
 follows (presumably, the field_count is only permitted to decrease,
 otherwise, the added fields would need to be filled in):

 	static inline int audit_upd_rule(struct audit_rule *rule,
 					 struct list_head *list,
 					 __u32 newaction,
 					 __u32 newfield_count)
 	{
 		struct audit_entry  *e;
 		struct audit_newentry *ne;

 		write_lock(&auditsc_lock);
 		list_for_each_entry(e, list, list) {
 			if (!audit_compare_rule(rule, &e->rule)) {
 				e->rule.action = newaction;
 				e->rule.file_count = newfield_count;
 				write_unlock(&auditsc_lock);
 				return 0;
 			}
 		}
 		write_unlock(&auditsc_lock);
 		return -EFAULT;		/* No matching rule */
 	}

 The RCU version creates a copy, updates the copy, then replaces the old
 entry with the newly updated entry.  This sequence of actions, allowing
 concurrent reads while doing a copy to perform an update, is what gives
 RCU ("read-copy update") its name.  The RCU code is as follows:

 	static inline int audit_upd_rule(struct audit_rule *rule,
 					 struct list_head *list,
 					 __u32 newaction,
 					 __u32 newfield_count)
 	{
 		struct audit_entry  *e;
 		struct audit_newentry *ne;

 		list_for_each_entry(e, list, list) {
 			if (!audit_compare_rule(rule, &e->rule)) {
 				ne = kmalloc(sizeof(*entry), GFP_ATOMIC);
 				if (ne == NULL)
 					return -ENOMEM;
 				audit_copy_rule(&ne->rule, &e->rule);
 				ne->rule.action = newaction;
 				ne->rule.file_count = newfield_count;
 				list_add_rcu(ne, e);
 				list_del(e);
 				call_rcu(&e->rcu, audit_free_rule, e);
 				return 0;
 			}
 		}
 		return -EFAULT;		/* No matching rule */
 	}

 Again, this assumes that the caller holds audit_netlink_sem.  Normally,
 the reader-writer lock would become a spinlock in this sort of code.


 Example 3: Eliminating Stale Data

 The auditing examples above tolerate stale data, as do most algorithms
 that are tracking external state.  Because there is a delay from the
 time the external state changes before Linux becomes aware of the change,
 additional RCU-induced staleness is normally not a problem.

 However, there are many examples where stale data cannot be tolerated.
 One example in the Linux kernel is the System V IPC (see the ipc_lock()
 function in ipc/util.c).  This code checks a "deleted" flag under a
 per-entry spinlock, and, if the "deleted" flag is set, pretends that the
 entry does not exist.  For this to be helpful, the search function must
 return holding the per-entry spinlock, as ipc_lock() does in fact do.

 Quick Quiz:  Why does the search function need to return holding the
 per-entry lock for this deleted-flag technique to be helpful?

 If the system-call audit module were to ever need to reject stale data,
 one way to accomplish this would be to add a "deleted" flag and a "lock"
 spinlock to the audit_entry structure, and modify audit_filter_task()
 as follows:

 	static enum audit_state audit_filter_task(struct task_struct *tsk)
 	{
 		struct audit_entry *e;
 		enum audit_state   state;

 		rcu_read_lock();
 		list_for_each_entry_rcu(e, &audit_tsklist, list) {
 			if (audit_filter_rules(tsk, &e->rule, NULL, &state)) {
 				spin_lock(&e->lock);
 				if (e->deleted) {
 					spin_unlock(&e->lock);
 					rcu_read_unlock();
 					return AUDIT_BUILD_CONTEXT;
 				}
 				rcu_read_unlock();
 				return state;
 			}
 		}
 		rcu_read_unlock();
 		return AUDIT_BUILD_CONTEXT;
 	}

 Note that this example assumes that entries are only added and deleted.
 Additional mechanism is required to deal correctly with the
 update-in-place performed by audit_upd_rule().  For one thing,
 audit_upd_rule() would need additional memory barriers to ensure
 that the list_add_rcu() was really executed before the list_del_rcu().

 The audit_del_rule() function would need to set the "deleted"
 flag under the spinlock as follows:

 	static inline int audit_del_rule(struct audit_rule *rule,
 					 struct list_head *list)
 	{
 		struct audit_entry  *e;

 		/* Do not use the _rcu iterator here, since this is the only
 		 * deletion routine. */
 		list_for_each_entry(e, list, list) {
 			if (!audit_compare_rule(rule, &e->rule)) {
 				spin_lock(&e->lock);
 				list_del_rcu(&e->list);
 				e->deleted = 1;
 				spin_unlock(&e->lock);
 				call_rcu(&e->rcu, audit_free_rule, e);
 				return 0;
 			}
 		}
 		return -EFAULT;		/* No matching rule */
 	}


 Summary

 Read-mostly list-based data structures that can tolerate stale data are
 the most amenable to use of RCU.  The simplest case is where entries are
 either added or deleted from the data structure (or atomically modified
 in place), but non-atomic in-place modifications can be handled by making
 a copy, updating the copy, then replacing the original with the copy.
 If stale data cannot be tolerated, then a "deleted" flag may be used
 in conjunction with a per-entry spinlock in order to allow the search
 function to reject newly deleted data.


 Answer to Quick Quiz

 If the search function drops the per-entry lock before returning, then
 the caller will be processing stale data in any case.  If it is really
 OK to be processing stale data, then you don't need a "deleted" flag.
 If processing stale data really is a problem, then you need to hold the
 per-entry lock across all of the code that uses the value looked up.
	Using RCU to Protect Read-Mostly Linked Lists


	One of the best applications of RCU is to protect read-mostly linked lists
	("struct list_head" in list.h). One big advantage of this approach
	is that all of the required memory barriers are included for you in
	the list macros. This document describes several applications of RCU,
	with the best fits first.


	Example 1: Read-Side Action Taken Outside of Lock, No In-Place Updates

	The best applications are cases where, if reader-writer locking were
	used, the read-side lock would be dropped before taking any action
	based on the results of the search. The most celebrated example is
	the routing table. Because the routing table is tracking the state of
	equipment outside of the computer, it will at times contain stale data.
	Therefore, once the route has been computed, there is no need to hold
	the routing table static during transmission of the packet. After all,
	you can hold the routing table static all you want, but that won't keep
	the external Internet from changing, and it is the state of the external
	Internet that really matters. In addition, routing entries are typically
	added or deleted, rather than being modified in place.

	A straightforward example of this use of RCU may be found in the
	system-call auditing support. For example, a reader-writer locked
	implementation of audit_filter_task() might be as follows:

	static enum audit_state audit_filter_task(struct task_struct *tsk)
	{
	struct audit_entry *e;
	enum audit_state state;

	read_lock(&auditsc_lock);
	list_for_each_entry(e, &audit_tsklist, list) {
	if (audit_filter_rules(tsk, &e->rule, NULL, &state)) {
	read_unlock(&auditsc_lock);
	return state;
	}
	}
	read_unlock(&auditsc_lock);
	return AUDIT_BUILD_CONTEXT;
	}

	Here the list is searched under the lock, but the lock is dropped before
	the corresponding value is returned. By the time that this value is acted
	on, the list may well have been modified. This makes sense, since if
	you are turning auditing off, it is OK to audit a few extra system calls.

	This means that RCU can be easily applied to the read side, as follows:

	static enum audit_state audit_filter_task(struct task_struct *tsk)
	{
	struct audit_entry *e;
	enum audit_state state;

	rcu_read_lock();
	list_for_each_entry_rcu(e, &audit_tsklist, list) {
	if (audit_filter_rules(tsk, &e->rule, NULL, &state)) {
	rcu_read_unlock();
	return state;
	}
	}
	rcu_read_unlock();
	return AUDIT_BUILD_CONTEXT;
	}

	The read_lock() and read_unlock() calls have become rcu_read_lock()
	and rcu_read_unlock(), respectively, and the list_for_each_entry() has
	become list_for_each_entry_rcu(). The _rcu() list-traversal primitives
	insert the read-side memory barriers that are required on DEC Alpha CPUs.

	The changes to the update side are also straightforward. A reader-writer
	lock might be used as follows for deletion and insertion:

	static inline int audit_del_rule(struct audit_rule *rule,
	struct list_head *list)
	{
	struct audit_entry *e;

	write_lock(&auditsc_lock);
	list_for_each_entry(e, list, list) {
	if (!audit_compare_rule(rule, &e->rule)) {
	list_del(&e->list);
	write_unlock(&auditsc_lock);
	return 0;
	}
	}
	write_unlock(&auditsc_lock);
	return -EFAULT; /* No matching rule */
	}

	static inline int audit_add_rule(struct audit_entry *entry,
	struct list_head *list)
	{
	write_lock(&auditsc_lock);
	if (entry->rule.flags & AUDIT_PREPEND) {
	entry->rule.flags &= ~AUDIT_PREPEND;
	list_add(&entry->list, list);
	} else {
	list_add_tail(&entry->list, list);
	}
	write_unlock(&auditsc_lock);
	return 0;
	}

	Following are the RCU equivalents for these two functions:

	static inline int audit_del_rule(struct audit_rule *rule,
	struct list_head *list)
	{
	struct audit_entry *e;

	/* Do not use the _rcu iterator here, since this is the only
	* deletion routine. */
	list_for_each_entry(e, list, list) {
	if (!audit_compare_rule(rule, &e->rule)) {
	list_del_rcu(&e->list);
	call_rcu(&e->rcu, audit_free_rule, e);
	return 0;
	}
	}
	return -EFAULT; /* No matching rule */
	}

	static inline int audit_add_rule(struct audit_entry *entry,
	struct list_head *list)
	{
	if (entry->rule.flags & AUDIT_PREPEND) {
	entry->rule.flags &= ~AUDIT_PREPEND;
	list_add_rcu(&entry->list, list);
	} else {
	list_add_tail_rcu(&entry->list, list);
	}
	return 0;
	}

	Normally, the write_lock() and write_unlock() would be replaced by
	a spin_lock() and a spin_unlock(), but in this case, all callers hold
	audit_netlink_sem, so no additional locking is required. The auditsc_lock
	can therefore be eliminated, since use of RCU eliminates the need for
	writers to exclude readers.

	The list_del(), list_add(), and list_add_tail() primitives have been
	replaced by list_del_rcu(), list_add_rcu(), and list_add_tail_rcu().
	The _rcu() list-manipulation primitives add memory barriers that are
	needed on weakly ordered CPUs (most of them!).

	So, when readers can tolerate stale data and when entries are either added
	or deleted, without in-place modification, it is very easy to use RCU!


	Example 2: Handling In-Place Updates

	The system-call auditing code does not update auditing rules in place.
	However, if it did, reader-writer-locked code to do so might look as
	follows (presumably, the field_count is only permitted to decrease,
	otherwise, the added fields would need to be filled in):

	static inline int audit_upd_rule(struct audit_rule *rule,
	struct list_head *list,
	__u32 newaction,
	__u32 newfield_count)
	{
	struct audit_entry *e;
	struct audit_newentry *ne;

	write_lock(&auditsc_lock);
	list_for_each_entry(e, list, list) {
	if (!audit_compare_rule(rule, &e->rule)) {
	e->rule.action = newaction;
	e->rule.file_count = newfield_count;
	write_unlock(&auditsc_lock);
	return 0;
	}
	}
	write_unlock(&auditsc_lock);
	return -EFAULT; /* No matching rule */
	}

	The RCU version creates a copy, updates the copy, then replaces the old
	entry with the newly updated entry. This sequence of actions, allowing
	concurrent reads while doing a copy to perform an update, is what gives
	RCU ("read-copy update") its name. The RCU code is as follows:

	static inline int audit_upd_rule(struct audit_rule *rule,
	struct list_head *list,
	__u32 newaction,
	__u32 newfield_count)
	{
	struct audit_entry *e;
	struct audit_newentry *ne;

	list_for_each_entry(e, list, list) {
	if (!audit_compare_rule(rule, &e->rule)) {
	ne = kmalloc(sizeof(*entry), GFP_ATOMIC);
	if (ne == NULL)
	return -ENOMEM;
	audit_copy_rule(&ne->rule, &e->rule);
	ne->rule.action = newaction;
	ne->rule.file_count = newfield_count;
	list_add_rcu(ne, e);
	list_del(e);
	call_rcu(&e->rcu, audit_free_rule, e);
	return 0;
	}
	}
	return -EFAULT; /* No matching rule */
	}

	Again, this assumes that the caller holds audit_netlink_sem. Normally,
	the reader-writer lock would become a spinlock in this sort of code.


	Example 3: Eliminating Stale Data

	The auditing examples above tolerate stale data, as do most algorithms
	that are tracking external state. Because there is a delay from the
	time the external state changes before Linux becomes aware of the change,
	additional RCU-induced staleness is normally not a problem.

	However, there are many examples where stale data cannot be tolerated.
	One example in the Linux kernel is the System V IPC (see the ipc_lock()
	function in ipc/util.c). This code checks a "deleted" flag under a
	per-entry spinlock, and, if the "deleted" flag is set, pretends that the
	entry does not exist. For this to be helpful, the search function must
	return holding the per-entry spinlock, as ipc_lock() does in fact do.

	Quick Quiz: Why does the search function need to return holding the
	per-entry lock for this deleted-flag technique to be helpful?

	If the system-call audit module were to ever need to reject stale data,
	one way to accomplish this would be to add a "deleted" flag and a "lock"
	spinlock to the audit_entry structure, and modify audit_filter_task()
	as follows:

	static enum audit_state audit_filter_task(struct task_struct *tsk)
	{
	struct audit_entry *e;
	enum audit_state state;

	rcu_read_lock();
	list_for_each_entry_rcu(e, &audit_tsklist, list) {
	if (audit_filter_rules(tsk, &e->rule, NULL, &state)) {
	spin_lock(&e->lock);
	if (e->deleted) {
	spin_unlock(&e->lock);
	rcu_read_unlock();
	return AUDIT_BUILD_CONTEXT;
	}
	rcu_read_unlock();
	return state;
	}
	}
	rcu_read_unlock();
	return AUDIT_BUILD_CONTEXT;
	}

	Note that this example assumes that entries are only added and deleted.
	Additional mechanism is required to deal correctly with the
	update-in-place performed by audit_upd_rule(). For one thing,
	audit_upd_rule() would need additional memory barriers to ensure
	that the list_add_rcu() was really executed before the list_del_rcu().

	The audit_del_rule() function would need to set the "deleted"
	flag under the spinlock as follows:

	static inline int audit_del_rule(struct audit_rule *rule,
	struct list_head *list)
	{
	struct audit_entry *e;

	/* Do not use the _rcu iterator here, since this is the only
	* deletion routine. */
	list_for_each_entry(e, list, list) {
	if (!audit_compare_rule(rule, &e->rule)) {
	spin_lock(&e->lock);
	list_del_rcu(&e->list);
	e->deleted = 1;
	spin_unlock(&e->lock);
	call_rcu(&e->rcu, audit_free_rule, e);
	return 0;
	}
	}
	return -EFAULT; /* No matching rule */
	}


	Summary

	Read-mostly list-based data structures that can tolerate stale data are
	the most amenable to use of RCU. The simplest case is where entries are
	either added or deleted from the data structure (or atomically modified
	in place), but non-atomic in-place modifications can be handled by making
	a copy, updating the copy, then replacing the original with the copy.
	If stale data cannot be tolerated, then a "deleted" flag may be used
	in conjunction with a per-entry spinlock in order to allow the search
	function to reject newly deleted data.


	Answer to Quick Quiz

	If the search function drops the per-entry lock before returning, then
	the caller will be processing stale data in any case. If it is really
	OK to be processing stale data, then you don't need a "deleted" flag.
	If processing stale data really is a problem, then you need to hold the
	per-entry lock across all of the code that uses the value looked up.