search_component_stats_tokens.html
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<h1>Statistics - tokens</h1>
<p>To get statistics on the number of tokens within a set of documents in Solr requests, besides the parameter to enable <a href="search_component_stats.html">statistics</a>, the following parameter should be provided.</p>
<table border="0" class="table table-striped">
<thead>
<tr class="a">
<th>Parameter </th>
<th>Value </th>
<th>Obligatory </th>
</tr>
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<tbody>
<tr class="b">
<td>mtas.stats.tokens </td>
<td>true </td>
<td>yes </td>
</tr>
</tbody>
</table>
<p>Multiple statistics on tokens can be produced within the same request. To distinguish them, a unique identifier has to be provided for<br />each of the required statistics.</p>
<table border="0" class="table table-striped">
<thead>
<tr class="a">
<th>Parameter </th>
<th>Value </th>
<th>Info </th>
<th>Obligatory </th>
</tr>
</thead>
<tbody>
<tr class="b">
<td>mtas.stats.tokens.<identifier>.key </td>
<td><string> </td>
<td>key used in response </td>
<td>no </td>
</tr>
<tr class="a">
<td>mtas.stats.tokens.<identifier>.field </td>
<td><string> </td>
<td>Mtas field </td>
<td>yes </td>
</tr>
<tr class="b">
<td>mtas.stats.tokens.<identifier>.type </td>
<td><string> </td>
<td>required <a href="search_stats.html">type of statistics</a> </td>
<td>no </td>
</tr>
<tr class="a">
<td>mtas.stats.tokens.<identifier>.minimum </td>
<td><double> </td>
<td>minimum number of tokens </td>
<td>no </td>
</tr>
<tr class="b">
<td>mtas.stats.tokens.<identifier>.maximum </td>
<td><double> </td>
<td>maximum number of tokens </td>
<td>no </td>
</tr>
</tbody>
</table>
<p>The <i>key</i> is added to the response and may be used to distinguish between multiple statistics on tokens, and should therefore be unique. The optional <i>minimum</i> and <i>maximum</i> can be used to focus only on documents satisfying a condition on the number of tokens.</p>
<hr />
<div class="section">
<h2><a name="Examples"></a>Examples</h2>
<ol style="list-style-type: decimal">
<li><a href="#basic">Basic</a> : basic statistics on the number of tokens.</li>
<li><a href="#minimum-and-maximum">Minimum and maximum</a> : statistics on the number of tokens with restrictions on this number.</li>
<li><a href="#subset">Subset</a> : statistics on the number of tokens within a subset of documents.</li>
</ol>
<hr />
<p><a name="basic"></a></p>
<div class="section">
<h3><a name="Basic"></a>Basic</h3>
<p><b>Example</b><br />Total and average number of tokens and the number of documents.</p>
<p><b>Request and response</b><br /><tt>q=*%3A*&rows=0&mtas=true&mtas.stats=true&mtas.stats.tokens=true&mtas.stats.tokens.0.field=text&mtas.stats.tokens.0.key=example - basic&mtas.stats.tokens.0.type=sum,mean,n&wt=json&indent=true</tt></p>
<div class="source">
<div class="source"><pre class="prettyprint">"mtas":{
"stats":{
"tokens":[{
"key":"example - basic",
"mean":1949.101406523028,
"sum":4024520177,
"n":2064808}]}}
</pre></div></div>
<p><a name="minimum-and-maximum"></a></p></div>
<div class="section">
<h3><a name="Minimum_and_maximum"></a>Minimum and maximum</h3>
<p><b>Example</b><br />Full statistics on tokens for documents with a minimum of 100 tokens, for documents with a maximum of 200 tokens, and for documents with between 100 and 200 tokens.</p>
<p><b>Request and response</b><br /><tt>q=*%3A*&rows=0&mtas=true&mtas.stats=true&mtas.stats.tokens=true&mtas.stats.tokens.0.field=text&mtas.stats.tokens.0.key=example - minimum&mtas.stats.tokens.0.type=all&mtas.stats.tokens.0.minimum=500&mtas.stats.tokens.1.field=text&mtas.stats.tokens.1.key=example - maximum&mtas.stats.tokens.1.type=all&mtas.stats.tokens.1.maximum=1000&mtas.stats.tokens.2.field=text&mtas.stats.tokens.2.key=example - minimum and maximum&mtas.stats.tokens.2.type=all&mtas.stats.tokens.2.minimum=500&mtas.stats.tokens.2.maximum=1000&wt=json&indent=true</tt></p>
<div class="source">
<div class="source"><pre class="prettyprint">"mtas":{
"stats":{
"tokens":[{
"key":"example - minimum",
"sumsq":2.91825668357275E14,
"populationvariance":2.022964435797023E8,
"max":3320612.0,
"sum":3.837278477E9,
"kurtosis":9580.99014557769,
"standarddeviation":14223.100544366072,
"n":1390207,
"quadraticmean":14488.452755067281,
"min":500.0,
"median":1359.0,
"variance":2.0229658909514648E8,
"mean":2760.2209433559033,
"geometricmean":1584.8982392362057,
"sumoflogs":1.0243428152831953E7,
"skewness":79.47215006871889},
{
"key":"example - maximum",
"sumsq":3.33432806009E11,
"populationvariance":65815.48228216589,
"max":1000.0,
"sum":5.49051031E8,
"kurtosis":-0.9495132030213522,
"standarddeviation":256.54539199058576,
"n":1178024,
"quadraticmean":532.0189410229931,
"min":0.0,
"median":441.0,
"variance":65815.53815160331,
"mean":466.07796700236827,
"geometricmean":0.0,
"sumoflogs":"-Infinity",
"skewness":0.2518109944817064},
{
"key":"example - minimum and maximum",
"sumsq":2.70110872559E11,
"populationvariance":20021.06838039624,
"max":1000.0,
"sum":3.61809331E8,
"kurtosis":-1.0824803795579663,
"standarddeviation":141.49596513804715,
"n":503423,
"quadraticmean":732.4947329880449,
"min":500.0,
"median":704.0,
"variance":20021.108150347452,
"mean":718.6984523949043,
"geometricmean":704.889293672351,
"sumoflogs":3301468.553637138,
"skewness":0.2634725299866506}]}}
</pre></div></div>
<p><a name="subset"></a> </p></div>
<div class="section">
<h3><a name="Subset"></a>Subset</h3>
<p><b>Example</b><br />Total and average number of tokens and the number of documents for a subset of documents.</p>
<p><b>Request and response</b><br /><tt>q=text:koe&rows=0&mtas=true&mtas.stats=true&mtas.stats.tokens=true&mtas.stats.tokens.0.field=text&mtas.stats.tokens.0.key=example - subset&mtas.stats.tokens.0.type=sum,mean,n&wt=json&indent=true</tt></p>
<div class="source">
<div class="source"><pre class="prettyprint">"mtas":{
"stats":{
"tokens":[{
"key":"example - subset",
"mean":42901.60996309963,
"sum":116263363,
"n":2710}]}}
</pre></div></div>
<hr /></div></div>
<div class="section">
<h2><a name="Lucene"></a>Lucene</h2>
<p>To use statistics on the number of tokens <a href="installation_lucene.html">directly in Lucene</a>, <i>ComponentToken</i> together with the provided <i>collect</i> method can be used. </p></div>
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