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Overview
Comment:update online documentation
Timelines: family | ancestors | descendants | both | trunk
Files: files | file ages | folders
SHA1:a6a1a3f1f1f26291842b8a44bc73fd32372185fb
User & Date: brandon 2013-11-17 16:42:28
Context
2013-11-17
16:43
fix typo in documentation check-in: 4395534050 user: brandon tags: trunk
16:42
update online documentation check-in: a6a1a3f1f1 user: brandon tags: trunk
16:42
mark up a word as a definition check-in: 1395518425 user: brandon tags: trunk
Changes

Changes to www/html_node/Tutorial.html.

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<p>First, you create a new database with <code>zdbc</code>:
</p>
<div class="example">
<pre class="example">$ zdbc foo.db
</pre></div>

<p>You can customize the creation of a database in two ways.  The first is
by specifying the number of &quot;buckets&quot; that comprise the database,
specified via the <samp>-b</samp>/<samp>--num-buckets</samp> option.  A DBM
database can be imagined as a series of buckets.  When a new item is
added, an algorithm determines which bucket it belongs in based on its
value.  Likewise, the same algorithm will be used in determining the
bucket from which to fetch an item.  If each bucket only contains a
maximum of one item, then you are guaranteed to be able to find any item
in the same amount of time as any other item.  On the other hand, if the







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<p>First, you create a new database with <code>zdbc</code>:
</p>
<div class="example">
<pre class="example">$ zdbc foo.db
</pre></div>

<p>You can customize the creation of a database in two ways.  The first is
by specifying the number of <em>buckets</em> that comprise the database,
specified via the <samp>-b</samp>/<samp>--num-buckets</samp> option.  A DBM
database can be imagined as a series of buckets.  When a new item is
added, an algorithm determines which bucket it belongs in based on its
value.  Likewise, the same algorithm will be used in determining the
bucket from which to fetch an item.  If each bucket only contains a
maximum of one item, then you are guaranteed to be able to find any item
in the same amount of time as any other item.  On the other hand, if the

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<p>First, you create a new database with <code>zdbc</code>:
</p>
<div class="example">
<pre class="example">$ zdbc foo.db
</pre></div>

<p>You can customize the creation of a database in two ways.  The first is
by specifying the number of &quot;buckets&quot; that comprise the database,
specified via the <samp>-b</samp>/<samp>--num-buckets</samp> option.  A DBM
database can be imagined as a series of buckets.  When a new item is
added, an algorithm determines which bucket it belongs in based on its
value.  Likewise, the same algorithm will be used in determining the
bucket from which to fetch an item.  If each bucket only contains a
maximum of one item, then you are guaranteed to be able to find any item
in the same amount of time as any other item.  On the other hand, if the







|







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<p>First, you create a new database with <code>zdbc</code>:
</p>
<div class="example">
<pre class="example">$ zdbc foo.db
</pre></div>

<p>You can customize the creation of a database in two ways.  The first is
by specifying the number of <em>buckets</em> that comprise the database,
specified via the <samp>-b</samp>/<samp>--num-buckets</samp> option.  A DBM
database can be imagined as a series of buckets.  When a new item is
added, an algorithm determines which bucket it belongs in based on its
value.  Likewise, the same algorithm will be used in determining the
bucket from which to fetch an item.  If each bucket only contains a
maximum of one item, then you are guaranteed to be able to find any item
in the same amount of time as any other item.  On the other hand, if the

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