Documentation: RCU: Convert RCU linked list to reST
RCU linked list reST markup. Signed-off-by: Jiunn Chang <c0d1n61at3@gmail.com> Signed-off-by: Jonathan Corbet <corbet@lwn.net>
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Using RCU to Protect Read-Mostly Linked Lists
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.. _list_rcu_doc:
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Using RCU to Protect Read-Mostly Linked Lists
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=============================================
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One of the best applications of RCU is to protect read-mostly linked lists
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("struct list_head" in list.h). One big advantage of this approach
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@ -7,8 +9,8 @@ is that all of the required memory barriers are included for you in
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the list macros. This document describes several applications of RCU,
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with the best fits first.
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Example 1: Read-Side Action Taken Outside of Lock, No In-Place Updates
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----------------------------------------------------------------------
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The best applications are cases where, if reader-writer locking were
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used, the read-side lock would be dropped before taking any action
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@ -24,7 +26,7 @@ added or deleted, rather than being modified in place.
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A straightforward example of this use of RCU may be found in the
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system-call auditing support. For example, a reader-writer locked
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implementation of audit_filter_task() might be as follows:
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implementation of audit_filter_task() might be as follows::
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static enum audit_state audit_filter_task(struct task_struct *tsk)
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{
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@ -48,7 +50,7 @@ the corresponding value is returned. By the time that this value is acted
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on, the list may well have been modified. This makes sense, since if
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you are turning auditing off, it is OK to audit a few extra system calls.
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This means that RCU can be easily applied to the read side, as follows:
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This means that RCU can be easily applied to the read side, as follows::
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static enum audit_state audit_filter_task(struct task_struct *tsk)
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{
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@ -73,7 +75,7 @@ become list_for_each_entry_rcu(). The _rcu() list-traversal primitives
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insert the read-side memory barriers that are required on DEC Alpha CPUs.
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The changes to the update side are also straightforward. A reader-writer
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lock might be used as follows for deletion and insertion:
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lock might be used as follows for deletion and insertion::
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static inline int audit_del_rule(struct audit_rule *rule,
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struct list_head *list)
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@ -106,7 +108,7 @@ lock might be used as follows for deletion and insertion:
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return 0;
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}
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Following are the RCU equivalents for these two functions:
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Following are the RCU equivalents for these two functions::
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static inline int audit_del_rule(struct audit_rule *rule,
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struct list_head *list)
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@ -154,13 +156,13 @@ otherwise cause concurrent readers to fail spectacularly.
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So, when readers can tolerate stale data and when entries are either added
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or deleted, without in-place modification, it is very easy to use RCU!
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Example 2: Handling In-Place Updates
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------------------------------------
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The system-call auditing code does not update auditing rules in place.
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However, if it did, reader-writer-locked code to do so might look as
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follows (presumably, the field_count is only permitted to decrease,
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otherwise, the added fields would need to be filled in):
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otherwise, the added fields would need to be filled in)::
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static inline int audit_upd_rule(struct audit_rule *rule,
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struct list_head *list,
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@ -187,7 +189,7 @@ otherwise, the added fields would need to be filled in):
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The RCU version creates a copy, updates the copy, then replaces the old
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entry with the newly updated entry. This sequence of actions, allowing
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concurrent reads while doing a copy to perform an update, is what gives
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RCU ("read-copy update") its name. The RCU code is as follows:
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RCU ("read-copy update") its name. The RCU code is as follows::
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static inline int audit_upd_rule(struct audit_rule *rule,
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struct list_head *list,
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@ -216,8 +218,8 @@ RCU ("read-copy update") its name. The RCU code is as follows:
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Again, this assumes that the caller holds audit_netlink_sem. Normally,
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the reader-writer lock would become a spinlock in this sort of code.
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Example 3: Eliminating Stale Data
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---------------------------------
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The auditing examples above tolerate stale data, as do most algorithms
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that are tracking external state. Because there is a delay from the
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@ -231,13 +233,16 @@ per-entry spinlock, and, if the "deleted" flag is set, pretends that the
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entry does not exist. For this to be helpful, the search function must
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return holding the per-entry spinlock, as ipc_lock() does in fact do.
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Quick Quiz: Why does the search function need to return holding the
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per-entry lock for this deleted-flag technique to be helpful?
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Quick Quiz:
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Why does the search function need to return holding the per-entry lock for
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this deleted-flag technique to be helpful?
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:ref:`Answer to Quick Quiz <answer_quick_quiz_list>`
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If the system-call audit module were to ever need to reject stale data,
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one way to accomplish this would be to add a "deleted" flag and a "lock"
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spinlock to the audit_entry structure, and modify audit_filter_task()
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as follows:
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as follows::
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static enum audit_state audit_filter_task(struct task_struct *tsk)
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{
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@ -268,7 +273,7 @@ audit_upd_rule() would need additional memory barriers to ensure
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that the list_add_rcu() was really executed before the list_del_rcu().
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The audit_del_rule() function would need to set the "deleted"
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flag under the spinlock as follows:
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flag under the spinlock as follows::
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static inline int audit_del_rule(struct audit_rule *rule,
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struct list_head *list)
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@ -290,8 +295,8 @@ flag under the spinlock as follows:
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return -EFAULT; /* No matching rule */
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}
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Summary
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-------
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Read-mostly list-based data structures that can tolerate stale data are
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the most amenable to use of RCU. The simplest case is where entries are
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@ -302,8 +307,9 @@ If stale data cannot be tolerated, then a "deleted" flag may be used
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in conjunction with a per-entry spinlock in order to allow the search
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function to reject newly deleted data.
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.. _answer_quick_quiz_list:
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Answer to Quick Quiz
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Answer to Quick Quiz:
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Why does the search function need to return holding the per-entry
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lock for this deleted-flag technique to be helpful?
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