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<p>Library Version 18.1.40</p>
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<h2 class="title" style="clear: both"><a id="am_misc_faq"></a>Access method FAQ</h2>
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<li>
<span class="bold">
<strong>Is a Berkeley DB database the same
as a "table"?</strong>
</span>
<p>
Yes; "tables" are databases, "rows" are key/data
pairs, and "columns" are application-encapsulated
fields within a data item (to which Berkeley DB does
not directly provide access).
</p>
</li>
<li>
<span class="bold">
<strong>I'm getting an error return in my
application, but I can't figure out what the library
is complaining about.</strong>
</span>
<p>
See <a href="../api_reference/C/envset_errcall.html" class="olink">DB_ENV->set_errcall()</a>, <a href="../api_reference/C/envset_errfile.html" class="olink">DB_ENV->set_errfile()</a> and
<a href="../api_reference/C/dbset_errfile.html" class="olink">DB->set_errfile()</a> for ways to get additional information
about error returns from Berkeley DB.
</p>
</li>
<li>
<span class="bold">
<strong>Are Berkeley DB databases portable
between architectures with different integer sizes and
different byte orders ?</strong>
</span>
<p>
Yes. Specifically, databases can be moved between
32- and 64-bit machines, as well as between little-
and big-endian machines. See <a class="xref" href="general_am_conf.html#am_conf_byteorder" title="Selecting a byte order">Selecting a byte order</a> for more
information.
</p>
</li>
<li>
<span class="bold">
<strong>I'm seeing database corruption when
creating multiple databases in a single physical
file.</strong>
</span>
<p>
This problem is usually the result of <a href="../api_reference/C/db.html" class="olink">DB</a> handles
not sharing an underlying database environment. See
<a class="xref" href="am_opensub.html" title="Opening multiple databases in a single file">Opening multiple databases in a
single file</a> for more
information.
</p>
</li>
<li>
<span class="bold">
<strong>I'm using integers as keys for a
Btree database, and even though the key/data pairs are
entered in sorted order, the page-fill factor is
low.</strong>
</span>
<p>
This is usually the result of using integer keys on
little-endian architectures such as the x86. Berkeley
DB sorts keys as byte strings, and little-endian
integers don't sort well when viewed as byte strings.
For example, take the numbers 254 through 257. Their
byte patterns on a little-endian system are:
</p>
<pre class="programlisting">254 fe 0 0 0
255 ff 0 0 0
256 0 1 0 0
257 1 1 0 0</pre>
<p>
If you treat them as strings, then they sort
badly:
</p>
<pre class="programlisting">256
257
254
255</pre>
<p>
On a big-endian system, their byte patterns
are:
</p>
<pre class="programlisting">254 0 0 0 fe
255 0 0 0 ff
256 0 0 1 0
257 0 0 1 1</pre>
<p>
and so, if you treat them as strings they sort
nicely. Which means, if you use steadily increasing
integers as keys on a big-endian system Berkeley DB
behaves well and you get compact trees, but on a
little-endian system Berkeley DB produces much less
compact trees. To avoid this problem, you may want to
convert the keys to flat text or big-endian
representations, or provide your own <a class="xref" href="bt_conf.html#am_conf_bt_compare" title="Btree comparison">Btree comparison</a>
</p>
</li>
<li>
<span class="bold">
<strong>Is there any way to avoid double
buffering in the Berkeley DB system?</strong>
</span>
<p>
Some operating systems provide the support necessary to
avoid double buffering. On those systems, you can attempt to
avoid double buffering by specifying the <a href="../api_reference/C/envset_flags.html#set_flags_DB_DIRECT_DB" class="olink">DB_DIRECT_DB</a> and
<a href="../api_reference/C/envlog_set_config.html#log_set_config_DB_LOG_DIRECT" class="olink">DB_LOG_DIRECT</a> flags.
Where that support is not available, or where experimentation
with it shows that is does not improve performance, there are
a few other things you can do to address this issue:
</p>
<p>
First, the Berkeley DB cache size can be explicitly
set. Rather than allocate additional space in the
Berkeley DB cache to cover unexpectedly heavy load or
large table sizes, double buffering may suggest you
size the cache to function well under normal
conditions, and then depend on the file buffer cache
to cover abnormal conditions. Obviously, this is a
trade-off, as Berkeley DB may not then perform as well
as usual under abnormal conditions.
</p>
<p>
Second, depending on the underlying operating system
you're using, you may be able to alter the amount of
physical memory devoted to the system's file buffer
cache. Altering this type of resource configuration
may require appropriate privileges, or even operating
system reboots and/or rebuilds, on some systems.
</p>
<p>
Microsoft Windows provides a
<code class="function">SetSystemFileCacheSize</code> function which
can be used to limit its cache size; without that
limit the Windows file cache can grow to nearly fill physical
memory, forcing the working sets of processes out to disk,
reducing system performance.
</p>
<p>
Third, changing the size of the Berkeley DB
environment regions can change the amount of space the
operating system makes available for the file buffer
cache, and it's often worth considering exactly how
the operating system is dividing up its available
memory. Further, moving the Berkeley DB database
environment regions from filesystem backed memory into
system memory (or heap memory), can often make
additional system memory available for the file buffer
cache, especially on systems without a unified buffer
cache and VM system.
</p>
</li>
<li>
<span class="bold">
<strong>I'm seeing database corruption when
I run out of disk space.</strong>
</span>
<p>
Berkeley DB can continue to run when when
out-of-disk-space errors occur, but it requires the
application to be transaction protected. Applications
which do not enclose update operations in transactions
cannot recover from out-of-disk-space errors, and the
result of running out of disk space may be database
corruption.
</p>
</li>
<li>
<span class="bold">
<strong>How can I associate application
information with a <a href="../api_reference/C/db.html" class="olink">DB</a> or <a href="../api_reference/C/env.html" class="olink">DB_ENV</a> handle?</strong>
</span>
<p>
In the C API, the <a href="../api_reference/C/db.html" class="olink">DB</a> and <a href="../api_reference/C/env.html" class="olink">DB_ENV</a> structures each
contain an "app_private" field intended to be used to
reference application-specific information. See the
<a href="../api_reference/C/dbcreate.html" class="olink">db_create()</a> and <a href="../api_reference/C/envcreate.html" class="olink">db_env_create()</a> documentation for more
information.
</p>
<p>
In the C++ or Java APIs, the easiest way to
associate application-specific data with a handle is
to subclass the <a href="../api_reference/CXX/db.html" class="olink">Db</a> or <a href="../api_reference/CXX/env.html" class="olink">DbEnv</a>, for
example subclassing <a href="../api_reference/CXX/db.html" class="olink">Db</a> to get MyDb.
Objects of type MyDb will still have the Berkeley DB
API methods available on them, and you can put any
extra data or methods you want into the MyDb class. If
you are using "callback" APIs that take <a href="../api_reference/CXX/db.html" class="olink">Db</a>
or <a href="../api_reference/CXX/env.html" class="olink">DbEnv</a> arguments (for example,
<a href="../api_reference/C/dbset_bt_compare.html" class="olink">DB->set_bt_compare()</a>) these will always be called with
the <a href="../api_reference/CXX/db.html" class="olink">Db</a> or <a href="../api_reference/CXX/env.html" class="olink">DbEnv</a> objects you
create. So if you always use MyDb objects, you will be
able to take the first argument to the callback
function and cast it to a MyDb (in C++, cast it to
(MyDb*)). That will allow you to access your data
members or methods.
</p>
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