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Posted to commits@accumulo.apache.org by mj...@apache.org on 2017/06/20 16:24:34 UTC
[04/19] accumulo-website git commit: Jekyll build from master:c9398c5
http://git-wip-us.apache.org/repos/asf/accumulo-website/blob/eab65f94/docs/unreleased/getting-started/table_design.html
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+
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+
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+ Troubleshooting
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+ <div class="panel-body">
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+
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+
+
+
+ </div>
+ </div>
+ </div>
+ <div class="col-md-9">
+
+ <p><a href="/docs/unreleased/">Accumulo unreleased docs</a> >> Getting started >> Table Design</p>
+
+
+
+ <div class="alert alert-danger" style="margin-bottom: 0px;" role="alert">This documentation is for a future release of Accumulo! <a href="/1.8/accumulo_user_manual.html">View documentation for the latest release</a>.</div>
+
+ <div class="row">
+ <div class="col-md-10"><h1>Table Design</h1></div>
+ <div class="col-md-2"><a class="pull-right" style="margin-top: 25px;" href="https://github.com/apache/accumulo-website/edit/master/_docs-unreleased/getting-started/table_design.md" role="button"><i class="glyphicon glyphicon-pencil"></i> <small>Edit this page</small></a></div>
+ </div>
+
+ <h3 id="basic-table">Basic Table</h3>
+
+<p>Since Accumulo tables are sorted by row ID, each table can be thought of as being
+indexed by the row ID. Lookups performed by row ID can be executed quickly, by doing
+a binary search, first across the tablets, and then within a tablet. Clients should
+choose a row ID carefully in order to support their desired application. A simple rule
+is to select a unique identifier as the row ID for each entity to be stored and assign
+all the other attributes to be tracked to be columns under this row ID. For example,
+if we have the following data in a comma-separated file:</p>
+
+<div class="highlighter-rouge"><pre class="highlight"><code>userid,age,address,account-balance
+</code></pre>
+</div>
+
+<p>We might choose to store this data using the userid as the rowID, the column
+name in the column family, and a blank column qualifier:</p>
+
+<div class="language-java highlighter-rouge"><pre class="highlight"><code><span class="n">Mutation</span> <span class="n">m</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Mutation</span><span class="o">(</span><span class="n">userid</span><span class="o">);</span>
+<span class="kd">final</span> <span class="n">String</span> <span class="n">column_qualifier</span> <span class="o">=</span> <span class="s">""</span><span class="o">;</span>
+<span class="n">m</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="s">"age"</span><span class="o">,</span> <span class="n">column_qualifier</span><span class="o">,</span> <span class="n">age</span><span class="o">);</span>
+<span class="n">m</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="s">"address"</span><span class="o">,</span> <span class="n">column_qualifier</span><span class="o">,</span> <span class="n">address</span><span class="o">);</span>
+<span class="n">m</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="s">"balance"</span><span class="o">,</span> <span class="n">column_qualifier</span><span class="o">,</span> <span class="n">account_balance</span><span class="o">);</span>
+
+<span class="n">writer</span><span class="o">.</span><span class="na">add</span><span class="o">(</span><span class="n">m</span><span class="o">);</span>
+</code></pre>
+</div>
+
+<p>We could then retrieve any of the columns for a specific userid by specifying the
+userid as the range of a scanner and fetching specific columns:</p>
+
+<div class="language-java highlighter-rouge"><pre class="highlight"><code><span class="n">Range</span> <span class="n">r</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Range</span><span class="o">(</span><span class="n">userid</span><span class="o">,</span> <span class="n">userid</span><span class="o">);</span> <span class="c1">// single row</span>
+<span class="n">Scanner</span> <span class="n">s</span> <span class="o">=</span> <span class="n">conn</span><span class="o">.</span><span class="na">createScanner</span><span class="o">(</span><span class="s">"userdata"</span><span class="o">,</span> <span class="n">auths</span><span class="o">);</span>
+<span class="n">s</span><span class="o">.</span><span class="na">setRange</span><span class="o">(</span><span class="n">r</span><span class="o">);</span>
+<span class="n">s</span><span class="o">.</span><span class="na">fetchColumnFamily</span><span class="o">(</span><span class="k">new</span> <span class="n">Text</span><span class="o">(</span><span class="s">"age"</span><span class="o">));</span>
+
+<span class="k">for</span> <span class="o">(</span><span class="n">Entry</span><span class="o"><</span><span class="n">Key</span><span class="o">,</span><span class="n">Value</span><span class="o">></span> <span class="n">entry</span> <span class="o">:</span> <span class="n">s</span><span class="o">)</span> <span class="o">{</span>
+ <span class="n">System</span><span class="o">.</span><span class="na">out</span><span class="o">.</span><span class="na">println</span><span class="o">(</span><span class="n">entry</span><span class="o">.</span><span class="na">getValue</span><span class="o">().</span><span class="na">toString</span><span class="o">());</span>
+<span class="o">}</span>
+</code></pre>
+</div>
+
+<h3 id="rowid-design">RowID Design</h3>
+
+<p>Often it is necessary to transform the rowID in order to have rows ordered in a way
+that is optimal for anticipated access patterns. A good example of this is reversing
+the order of components of internet domain names in order to group rows of the
+same parent domain together:</p>
+
+<div class="highlighter-rouge"><pre class="highlight"><code>com.google.code
+com.google.labs
+com.google.mail
+com.yahoo.mail
+com.yahoo.research
+</code></pre>
+</div>
+
+<p>Some data may result in the creation of very large rows - rows with many columns.
+In this case the table designer may wish to split up these rows for better load
+balancing while keeping them sorted together for scanning purposes. This can be
+done by appending a random substring at the end of the row:</p>
+
+<div class="highlighter-rouge"><pre class="highlight"><code>com.google.code_00
+com.google.code_01
+com.google.code_02
+com.google.labs_00
+com.google.mail_00
+com.google.mail_01
+</code></pre>
+</div>
+
+<p>It could also be done by adding a string representation of some period of time such as date to the week
+or month:</p>
+
+<div class="highlighter-rouge"><pre class="highlight"><code>com.google.code_201003
+com.google.code_201004
+com.google.code_201005
+com.google.labs_201003
+com.google.mail_201003
+com.google.mail_201004
+</code></pre>
+</div>
+
+<p>Appending dates provides the additional capability of restricting a scan to a given
+date range.</p>
+
+<h3 id="lexicoders">Lexicoders</h3>
+<p>Since Keys in Accumulo are sorted lexicographically by default, it’s often useful to encode
+common data types into a byte format in which their sort order corresponds to the sort order
+in their native form. An example of this is encoding dates and numerical data so that they can
+be better seeked or searched in ranges.</p>
+
+<p>The lexicoders are a standard and extensible way of encoding Java types. Here’s an example
+of a lexicoder that encodes a java Date object so that it sorts lexicographically:</p>
+
+<div class="language-java highlighter-rouge"><pre class="highlight"><code><span class="c1">// create new date lexicoder</span>
+<span class="n">DateLexicoder</span> <span class="n">dateEncoder</span> <span class="o">=</span> <span class="k">new</span> <span class="n">DateLexicoder</span><span class="o">();</span>
+
+<span class="c1">// truncate time to hours</span>
+<span class="kt">long</span> <span class="n">epoch</span> <span class="o">=</span> <span class="n">System</span><span class="o">.</span><span class="na">currentTimeMillis</span><span class="o">();</span>
+<span class="n">Date</span> <span class="n">hour</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Date</span><span class="o">(</span><span class="n">epoch</span> <span class="o">-</span> <span class="o">(</span><span class="n">epoch</span> <span class="o">%</span> <span class="mi">3600000</span><span class="o">));</span>
+
+<span class="c1">// encode the rowId so that it is sorted lexicographically</span>
+<span class="n">Mutation</span> <span class="n">mutation</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Mutation</span><span class="o">(</span><span class="n">dateEncoder</span><span class="o">.</span><span class="na">encode</span><span class="o">(</span><span class="n">hour</span><span class="o">));</span>
+<span class="n">mutation</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="k">new</span> <span class="n">Text</span><span class="o">(</span><span class="s">"colf"</span><span class="o">),</span> <span class="k">new</span> <span class="n">Text</span><span class="o">(</span><span class="s">"colq"</span><span class="o">),</span> <span class="k">new</span> <span class="n">Value</span><span class="o">(</span><span class="k">new</span> <span class="kt">byte</span><span class="o">[]{}));</span>
+</code></pre>
+</div>
+
+<p>If we want to return the most recent date first, we can reverse the sort order
+with the reverse lexicoder:</p>
+
+<div class="language-java highlighter-rouge"><pre class="highlight"><code><span class="c1">// create new date lexicoder and reverse lexicoder</span>
+<span class="n">DateLexicoder</span> <span class="n">dateEncoder</span> <span class="o">=</span> <span class="k">new</span> <span class="n">DateLexicoder</span><span class="o">();</span>
+<span class="n">ReverseLexicoder</span> <span class="n">reverseEncoder</span> <span class="o">=</span> <span class="k">new</span> <span class="n">ReverseLexicoder</span><span class="o">(</span><span class="n">dateEncoder</span><span class="o">);</span>
+
+<span class="c1">// truncate date to hours</span>
+<span class="kt">long</span> <span class="n">epoch</span> <span class="o">=</span> <span class="n">System</span><span class="o">.</span><span class="na">currentTimeMillis</span><span class="o">();</span>
+<span class="n">Date</span> <span class="n">hour</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Date</span><span class="o">(</span><span class="n">epoch</span> <span class="o">-</span> <span class="o">(</span><span class="n">epoch</span> <span class="o">%</span> <span class="mi">3600000</span><span class="o">));</span>
+
+<span class="c1">// encode the rowId so that it sorts in reverse lexicographic order</span>
+<span class="n">Mutation</span> <span class="n">mutation</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Mutation</span><span class="o">(</span><span class="n">reverseEncoder</span><span class="o">.</span><span class="na">encode</span><span class="o">(</span><span class="n">hour</span><span class="o">));</span>
+<span class="n">mutation</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="k">new</span> <span class="n">Text</span><span class="o">(</span><span class="s">"colf"</span><span class="o">),</span> <span class="k">new</span> <span class="n">Text</span><span class="o">(</span><span class="s">"colq"</span><span class="o">),</span> <span class="k">new</span> <span class="n">Value</span><span class="o">(</span><span class="k">new</span> <span class="kt">byte</span><span class="o">[]{}));</span>
+</code></pre>
+</div>
+
+<h3 id="indexing">Indexing</h3>
+
+<p>In order to support lookups via more than one attribute of an entity, additional
+indexes can be built. However, because Accumulo tables can support any number of
+columns without specifying them beforehand, a single additional index will often
+suffice for supporting lookups of records in the main table. Here, the index has, as
+the rowID, the Value or Term from the main table, the column families are the same,
+and the column qualifier of the index table contains the rowID from the main table.</p>
+
+<table>
+ <thead>
+ <tr>
+ <th>RowID</th>
+ <th>Column Family</th>
+ <th>Column Qualifier</th>
+ <th>Value</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <td>Term</td>
+ <td>Field Name</td>
+ <td>MainRowID</td>
+ <td> </td>
+ </tr>
+ </tbody>
+</table>
+
+<p>Note: We store rowIDs in the column qualifier rather than the Value so that we can
+have more than one rowID associated with a particular term within the index. If we
+stored this in the Value we would only see one of the rows in which the value
+appears since Accumulo is configured by default to return the one most recent
+value associated with a key.</p>
+
+<p>Lookups can then be done by scanning the Index Table first for occurrences of the
+desired values in the columns specified, which returns a list of row ID from the main
+table. These can then be used to retrieve each matching record, in their entirety, or a
+subset of their columns, from the Main Table.</p>
+
+<p>To support efficient lookups of multiple rowIDs from the same table, the Accumulo
+client library provides a BatchScanner. Users specify a set of Ranges to the
+BatchScanner, which performs the lookups in multiple threads to multiple servers
+and returns an Iterator over all the rows retrieved. The rows returned are NOT in
+sorted order, as is the case with the basic Scanner interface.</p>
+
+<div class="language-java highlighter-rouge"><pre class="highlight"><code><span class="c1">// first we scan the index for IDs of rows matching our query</span>
+<span class="n">Text</span> <span class="n">term</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Text</span><span class="o">(</span><span class="s">"mySearchTerm"</span><span class="o">);</span>
+
+<span class="n">HashSet</span><span class="o"><</span><span class="n">Range</span><span class="o">></span> <span class="n">matchingRows</span> <span class="o">=</span> <span class="k">new</span> <span class="n">HashSet</span><span class="o"><</span><span class="n">Range</span><span class="o">>();</span>
+
+<span class="n">Scanner</span> <span class="n">indexScanner</span> <span class="o">=</span> <span class="n">createScanner</span><span class="o">(</span><span class="s">"index"</span><span class="o">,</span> <span class="n">auths</span><span class="o">);</span>
+<span class="n">indexScanner</span><span class="o">.</span><span class="na">setRange</span><span class="o">(</span><span class="k">new</span> <span class="n">Range</span><span class="o">(</span><span class="n">term</span><span class="o">,</span> <span class="n">term</span><span class="o">));</span>
+
+<span class="c1">// we retrieve the matching rowIDs and create a set of ranges</span>
+<span class="k">for</span> <span class="o">(</span><span class="n">Entry</span><span class="o"><</span><span class="n">Key</span><span class="o">,</span><span class="n">Value</span><span class="o">></span> <span class="n">entry</span> <span class="o">:</span> <span class="n">indexScanner</span><span class="o">)</span> <span class="o">{</span>
+ <span class="n">matchingRows</span><span class="o">.</span><span class="na">add</span><span class="o">(</span><span class="k">new</span> <span class="n">Range</span><span class="o">(</span><span class="n">entry</span><span class="o">.</span><span class="na">getKey</span><span class="o">().</span><span class="na">getColumnQualifier</span><span class="o">()));</span>
+<span class="o">}</span>
+
+<span class="c1">// now we pass the set of rowIDs to the batch scanner to retrieve them</span>
+<span class="n">BatchScanner</span> <span class="n">bscan</span> <span class="o">=</span> <span class="n">conn</span><span class="o">.</span><span class="na">createBatchScanner</span><span class="o">(</span><span class="s">"table"</span><span class="o">,</span> <span class="n">auths</span><span class="o">,</span> <span class="mi">10</span><span class="o">);</span>
+<span class="n">bscan</span><span class="o">.</span><span class="na">setRanges</span><span class="o">(</span><span class="n">matchingRows</span><span class="o">);</span>
+<span class="n">bscan</span><span class="o">.</span><span class="na">fetchColumnFamily</span><span class="o">(</span><span class="k">new</span> <span class="n">Text</span><span class="o">(</span><span class="s">"attributes"</span><span class="o">));</span>
+
+<span class="k">for</span> <span class="o">(</span><span class="n">Entry</span><span class="o"><</span><span class="n">Key</span><span class="o">,</span><span class="n">Value</span><span class="o">></span> <span class="n">entry</span> <span class="o">:</span> <span class="n">bscan</span><span class="o">)</span> <span class="o">{</span>
+ <span class="n">System</span><span class="o">.</span><span class="na">out</span><span class="o">.</span><span class="na">println</span><span class="o">(</span><span class="n">entry</span><span class="o">.</span><span class="na">getValue</span><span class="o">());</span>
+<span class="o">}</span>
+</code></pre>
+</div>
+
+<p>One advantage of the dynamic schema capabilities of Accumulo is that different
+fields may be indexed into the same physical table. However, it may be necessary to
+create different index tables if the terms must be formatted differently in order to
+maintain proper sort order. For example, real numbers must be formatted
+differently than their usual notation in order to be sorted correctly. In these cases,
+usually one index per unique data type will suffice.</p>
+
+<h3 id="entity-attribute-and-graph-tables">Entity-Attribute and Graph Tables</h3>
+
+<p>Accumulo is ideal for storing entities and their attributes, especially of the
+attributes are sparse. It is often useful to join several datasets together on common
+entities within the same table. This can allow for the representation of graphs,
+including nodes, their attributes, and connections to other nodes.</p>
+
+<p>Rather than storing individual events, Entity-Attribute or Graph tables store
+aggregate information about the entities involved in the events and the
+relationships between entities. This is often preferrable when single events aren’t
+very useful and when a continuously updated summarization is desired.</p>
+
+<p>The physical schema for an entity-attribute or graph table is as follows:</p>
+
+<table>
+ <thead>
+ <tr>
+ <th>RowID</th>
+ <th>Column Family</th>
+ <th>Column Qualifier</th>
+ <th>Value</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <td>EntityID</td>
+ <td>Attribute Name</td>
+ <td>Attribute Value</td>
+ <td>Weight</td>
+ </tr>
+ <tr>
+ <td>EntityID</td>
+ <td>Edge Type</td>
+ <td>Related EntityID</td>
+ <td>Weight</td>
+ </tr>
+ </tbody>
+</table>
+
+<p>For example, to keep track of employees, managers and products the following
+entity-attribute table could be used. Note that the weights are not always necessary
+and are set to 0 when not used.</p>
+
+<table>
+ <thead>
+ <tr>
+ <th>RowID</th>
+ <th>Column Family</th>
+ <th>Column Qualifier</th>
+ <th>Value</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <td>E001</td>
+ <td>name</td>
+ <td>bob</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>E001</td>
+ <td>department</td>
+ <td>sales</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>E001</td>
+ <td>hire_date</td>
+ <td>20030102</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>E001</td>
+ <td>units_sold</td>
+ <td>P001</td>
+ <td>780</td>
+ </tr>
+ <tr>
+ <td>E002</td>
+ <td>name</td>
+ <td>george</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>E002</td>
+ <td>department</td>
+ <td>sales</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>E002</td>
+ <td>manager_of</td>
+ <td>E001</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>E002</td>
+ <td>manager_of</td>
+ <td>E003</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>E003</td>
+ <td>name</td>
+ <td>harry</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>E003</td>
+ <td>department</td>
+ <td>accounts_recv</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>E003</td>
+ <td>hire_date</td>
+ <td>20000405</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>E003</td>
+ <td>units_sold</td>
+ <td>P002</td>
+ <td>566</td>
+ </tr>
+ <tr>
+ <td>E003</td>
+ <td>units_sold</td>
+ <td>P001</td>
+ <td>232</td>
+ </tr>
+ <tr>
+ <td>P001</td>
+ <td>product_name</td>
+ <td>nike_airs</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>P001</td>
+ <td>product_type</td>
+ <td>shoe</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>P001</td>
+ <td>in_stock</td>
+ <td>germany</td>
+ <td>900</td>
+ </tr>
+ <tr>
+ <td>P001</td>
+ <td>in_stock</td>
+ <td>brazil</td>
+ <td>200</td>
+ </tr>
+ <tr>
+ <td>P002</td>
+ <td>product_name</td>
+ <td>basic_jacket</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>P002</td>
+ <td>product_type</td>
+ <td>clothing</td>
+ <td>0</td>
+ </tr>
+ <tr>
+ <td>P002</td>
+ <td>in_stock</td>
+ <td>usa</td>
+ <td>3454</td>
+ </tr>
+ <tr>
+ <td>P002</td>
+ <td>in_stock</td>
+ <td>germany</td>
+ <td>700</td>
+ </tr>
+ </tbody>
+</table>
+
+<p>To allow efficient updating of edge weights, an aggregating iterator can be
+configured to add the value of all mutations applied with the same key. These types
+of tables can easily be created from raw events by simply extracting the entities,
+attributes, and relationships from individual events and inserting the keys into
+Accumulo each with a count of 1. The aggregating iterator will take care of
+maintaining the edge weights.</p>
+
+<h3 id="document-partitioned-indexing">Document-Partitioned Indexing</h3>
+
+<p>Using a simple index as described above works well when looking for records that
+match one of a set of given criteria. When looking for records that match more than
+one criterion simultaneously, such as when looking for documents that contain all of
+the words ‘the’ and ‘white’ and ‘house’, there are several issues.</p>
+
+<p>First is that the set of all records matching any one of the search terms must be sent
+to the client, which incurs a lot of network traffic. The second problem is that the
+client is responsible for performing set intersection on the sets of records returned
+to eliminate all but the records matching all search terms. The memory of the client
+may easily be overwhelmed during this operation.</p>
+
+<p>For these reasons Accumulo includes support for a scheme known as sharded
+indexing, in which these set operations can be performed at the TabletServers and
+decisions about which records to include in the result set can be made without
+incurring network traffic.</p>
+
+<p>This is accomplished via partitioning records into bins that each reside on at most
+one TabletServer, and then creating an index of terms per record within each bin as
+follows:</p>
+
+<table>
+ <thead>
+ <tr>
+ <th>RowID</th>
+ <th>Column Family</th>
+ <th>Column Qualifier</th>
+ <th>Value</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <td>BinID</td>
+ <td>Term</td>
+ <td>DocID</td>
+ <td>Weight</td>
+ </tr>
+ </tbody>
+</table>
+
+<p>Documents or records are mapped into bins by a user-defined ingest application. By
+storing the BinID as the RowID we ensure that all the information for a particular
+bin is contained in a single tablet and hosted on a single TabletServer since
+Accumulo never splits rows across tablets. Storing the Terms as column families
+serves to enable fast lookups of all the documents within this bin that contain the
+given term.</p>
+
+<p>Finally, we perform set intersection operations on the TabletServer via a special
+iterator called the Intersecting Iterator. Since documents are partitioned into many
+bins, a search of all documents must search every bin. We can use the BatchScanner
+to scan all bins in parallel. The Intersecting Iterator should be enabled on a
+BatchScanner within user query code as follows:</p>
+
+<div class="language-java highlighter-rouge"><pre class="highlight"><code><span class="n">Text</span><span class="o">[]</span> <span class="n">terms</span> <span class="o">=</span> <span class="o">{</span><span class="k">new</span> <span class="n">Text</span><span class="o">(</span><span class="s">"the"</span><span class="o">),</span> <span class="k">new</span> <span class="n">Text</span><span class="o">(</span><span class="s">"white"</span><span class="o">),</span> <span class="k">new</span> <span class="n">Text</span><span class="o">(</span><span class="s">"house"</span><span class="o">)};</span>
+
+<span class="n">BatchScanner</span> <span class="n">bscan</span> <span class="o">=</span> <span class="n">conn</span><span class="o">.</span><span class="na">createBatchScanner</span><span class="o">(</span><span class="n">table</span><span class="o">,</span> <span class="n">auths</span><span class="o">,</span> <span class="mi">20</span><span class="o">);</span>
+
+<span class="n">IteratorSetting</span> <span class="n">iter</span> <span class="o">=</span> <span class="k">new</span> <span class="n">IteratorSetting</span><span class="o">(</span><span class="mi">20</span><span class="o">,</span> <span class="s">"ii"</span><span class="o">,</span> <span class="n">IntersectingIterator</span><span class="o">.</span><span class="na">class</span><span class="o">);</span>
+<span class="n">IntersectingIterator</span><span class="o">.</span><span class="na">setColumnFamilies</span><span class="o">(</span><span class="n">iter</span><span class="o">,</span> <span class="n">terms</span><span class="o">);</span>
+
+<span class="n">bscan</span><span class="o">.</span><span class="na">addScanIterator</span><span class="o">(</span><span class="n">iter</span><span class="o">);</span>
+<span class="n">bscan</span><span class="o">.</span><span class="na">setRanges</span><span class="o">(</span><span class="n">Collections</span><span class="o">.</span><span class="na">singleton</span><span class="o">(</span><span class="k">new</span> <span class="n">Range</span><span class="o">()));</span>
+
+<span class="k">for</span> <span class="o">(</span><span class="n">Entry</span><span class="o"><</span><span class="n">Key</span><span class="o">,</span><span class="n">Value</span><span class="o">></span> <span class="n">entry</span> <span class="o">:</span> <span class="n">bscan</span><span class="o">)</span> <span class="o">{</span>
+ <span class="n">System</span><span class="o">.</span><span class="na">out</span><span class="o">.</span><span class="na">println</span><span class="o">(</span><span class="s">" "</span> <span class="o">+</span> <span class="n">entry</span><span class="o">.</span><span class="na">getKey</span><span class="o">().</span><span class="na">getColumnQualifier</span><span class="o">());</span>
+<span class="o">}</span>
+</code></pre>
+</div>
+
+<p>This code effectively has the BatchScanner scan all tablets of a table, looking for
+documents that match all the given terms. Because all tablets are being scanned for
+every query, each query is more expensive than other Accumulo scans, which
+typically involve a small number of TabletServers. This reduces the number of
+concurrent queries supported and is subject to what is known as the ‘straggler’
+problem in which every query runs as slow as the slowest server participating.</p>
+
+<p>Of course, fast servers will return their results to the client which can display them
+to the user immediately while they wait for the rest of the results to arrive. If the
+results are unordered this is quite effective as the first results to arrive are as good
+as any others to the user.</p>
+
+
+ <div class="row" style="margin-top: 20px;">
+ <div class="col-md-10"><strong>Find documentation for all releases in the <a href="/docs-archive">archive</strong></div>
+ <div class="col-md-2"><a class="pull-right" href="https://github.com/apache/accumulo-website/edit/master/_docs-unreleased/getting-started/table_design.md" role="button"><i class="glyphicon glyphicon-pencil"></i> <small>Edit this page</small></a></div>
+ </div>
+ </div>
+</div>
+
+ </div>
+
+
+<footer>
+
+ <p><a href="https://www.apache.org/foundation/contributing"><img src="https://www.apache.org/images/SupportApache-small.png" alt="Support the ASF" id="asf-logo" height="100" /></a></p>
+
+ <p>Copyright © 2011-2017 The Apache Software Foundation. Licensed under the <a href="https://www.apache.org/licenses/LICENSE-2.0">Apache License, Version 2.0</a>.</p>
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http://git-wip-us.apache.org/repos/asf/accumulo-website/blob/eab65f94/docs/unreleased/index.html
----------------------------------------------------------------------
diff --git a/docs/unreleased/index.html b/docs/unreleased/index.html
new file mode 100644
index 0000000..fa58e89
--- /dev/null
+++ b/docs/unreleased/index.html
@@ -0,0 +1,360 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<!--
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+
+ http://www.apache.org/licenses/LICENSE-2.0
+
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