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38      <p>With the exception of the Queue access method, the Berkeley DB access methods
39do page-level locking.  The size of pages in a database may be set when
40the database is created by calling the <a href="../api_reference/C/dbset_pagesize.html" class="olink">DB-&gt;set_pagesize()</a> method.  If
41not specified by the application, Berkeley DB selects a page size that will
42provide the best I/O performance by setting the page size equal to the
43block size of the underlying file system.  Selecting a smaller page size
44can result in increased concurrency for some applications.</p>
45      <p>In the Btree access method, Berkeley DB uses a technique called lock coupling
46to improve concurrency.  The traversal of a Btree requires reading a
47page, searching that page to determine which page to search next, and
48then repeating this process on the next page.  Once a page has been
49searched, it will never be accessed again for this operation, unless a
50page split is required.  To improve concurrency in the tree, once the
51next page to read/search has been determined, that page is locked and
52then the original page lock is released atomically (that is, without
53relinquishing control of the lock manager).  When page splits become
54necessary, write locks are reacquired.</p>
55      <p>Because the Recno access method is built upon Btree, it also uses lock
56coupling for read operations.  However, because the Recno access method
57must maintain a count of records on its internal pages, it cannot
58lock-couple during write operations.  Instead, it retains write locks
59on all internal pages during every update operation.  For this reason,
60it is not possible to have high concurrency in the Recno access method
61in the presence of write operations.</p>
62      <p>The Queue access method uses only short-term page locks.  That is, a page
63lock is released prior to requesting another page lock.  Record locks are
64used for transaction isolation.  The provides a high degree of concurrency
65for write operations.  A metadata page is used to keep track of the head
66and tail of the queue.  This page is never locked during other locking or
67I/O operations.</p>
68      <p>The Hash access method does not have such traversal issues, but it must
69always refer to its metadata while computing a hash function because it
70implements dynamic hashing.  This metadata is stored on a special page
71in the hash database.  This page must therefore be read-locked on every
72operation.  Fortunately, it needs to be write-locked only when new pages
73are allocated to the file, which happens in three cases:</p>
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76          <li>a hash bucket becomes full and needs to split</li>
77          <li>a key or data item is too large to fit on a normal page</li>
78          <li>the number of duplicate items for a fixed key becomes so large that they
79are moved to an auxiliary page</li>
80        </ul>
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82      <p>In this case, the access method must obtain a write lock on the metadata
83page, thus requiring that all readers be blocked from entering the tree
84until the update completes.</p>
85      <p>Finally, when traversing duplicate data items for a key, the lock on
86the key value also acts as a lock on all duplicates of that key.
87Therefore, two conflicting threads of control cannot access the same
88duplicate set simultaneously.</p>
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