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<h2><a class="anchor" aria-hidden="true" id="overview"></a><a href="#overview" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Overview</h2>
<p><strong>Moving Average Query</strong> is an extension which provides support for <a href="https://en.wikipedia.org/wiki/Moving_average">Moving Average</a> and other Aggregate <a href="https://en.wikibooks.org/wiki/Structured_Query_Language/Window_functions">Window Functions</a> in Druid queries.</p>
<p>These Aggregate Window Functions consume standard Druid Aggregators and outputs additional windowed aggregates called <a href="#averagers">Averagers</a>.</p>
<h4><a class="anchor" aria-hidden="true" id="high-level-algorithm"></a><a href="#high-level-algorithm" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>High level algorithm</h4>
<p>Moving Average encapsulates the <a href="/docs/0.16.1-incubating/querying/groupbyquery.html">groupBy query</a> (Or <a href="/docs/0.16.1-incubating/querying/timeseriesquery.html">timeseries</a> in case of no dimensions) in order to rely on the maturity of these query types.</p>
<p>It runs the query in two main phases:</p>
<ol>
<li>Runs an inner <a href="../../querying/groupbyquery.html">groupBy</a> or <a href="../../querying/timeseriesquery.html">timeseries</a> query to compute Aggregators (i.e. daily count of events).</li>
<li>Passes over aggregated results in Broker, in order to compute Averagers (i.e. moving 7 day average of the daily count).</li>
</ol>
<h4><a class="anchor" aria-hidden="true" id="main-enhancements-provided-by-this-extension"></a><a href="#main-enhancements-provided-by-this-extension" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Main enhancements provided by this extension:</h4>
<ol>
<li>Functionality: Extending druid query functionality (i.e. initial introduction of Window Functions).</li>
<li>Performance: Improving performance of such moving aggregations by eliminating multiple segment scans.</li>
</ol>
<h4><a class="anchor" aria-hidden="true" id="further-reading"></a><a href="#further-reading" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Further reading</h4>
<p><a href="https://en.wikipedia.org/wiki/Moving_average">Moving Average</a></p>
<p><a href="https://en.wikibooks.org/wiki/Structured_Query_Language/Window_functions">Window Functions</a></p>
<p><a href="https://cloud.google.com/bigquery/docs/reference/standard-sql/analytic-function-concepts">Analytic Functions</a></p>
<h2><a class="anchor" aria-hidden="true" id="operations"></a><a href="#operations" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Operations</h2>
<p>To use this extension, make sure to <a href="/docs/0.16.1-incubating/development/extensions.html#loading-extensions">load</a> <code>druid-moving-average-query</code> only to the Broker.</p>
<h2><a class="anchor" aria-hidden="true" id="configuration"></a><a href="#configuration" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Configuration</h2>
<p>There are currently no configuration properties specific to Moving Average.</p>
<h2><a class="anchor" aria-hidden="true" id="limitations"></a><a href="#limitations" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Limitations</h2>
<ul>
<li>movingAverage is missing support for the following groupBy properties: <code>subtotalsSpec</code>, <code>virtualColumns</code>.</li>
<li>movingAverage is missing support for the following timeseries properties: <code>descending</code>.</li>
<li>movingAverage is missing support for <a href="https://github.com/apache/incubator-druid/issues/4349">SQL-compatible null handling</a> (So setting druid.generic.useDefaultValueForNull in configuration will give an error).</li>
</ul>
<p>##Query spec:</p>
<ul>
<li>Most properties in the query spec derived from <a href="/docs/0.16.1-incubating/querying/groupbyquery.html">groupBy query</a> / <a href="/docs/0.16.1-incubating/querying/timeseriesquery.html">timeseries</a>, see documentation for these query types.</li>
</ul>
<table>
<thead>
<tr><th>property</th><th>description</th><th>required?</th></tr>
</thead>
<tbody>
<tr><td>queryType</td><td>This String should always be &quot;movingAverage&quot;; this is the first thing Druid looks at to figure out how to interpret the query.</td><td>yes</td></tr>
<tr><td>dataSource</td><td>A String or Object defining the data source to query, very similar to a table in a relational database. See <a href="/docs/0.16.1-incubating/querying/datasource.html">DataSource</a> for more information.</td><td>yes</td></tr>
<tr><td>dimensions</td><td>A JSON list of <a href="/docs/0.16.1-incubating/querying/dimensionspecs.html">DimensionSpec</a> (Notice that property is optional)</td><td>no</td></tr>
<tr><td>limitSpec</td><td>See <a href="/docs/0.16.1-incubating/querying/limitspec.html">LimitSpec</a></td><td>no</td></tr>
<tr><td>having</td><td>See <a href="/docs/0.16.1-incubating/querying/having.html">Having</a></td><td>no</td></tr>
<tr><td>granularity</td><td>A period granularity; See <a href="../../querying/granularities.html#period-granularities">Period Granularities</a></td><td>yes</td></tr>
<tr><td>filter</td><td>See <a href="/docs/0.16.1-incubating/querying/filters.html">Filters</a></td><td>no</td></tr>
<tr><td>aggregations</td><td>Aggregations forms the input to Averagers; See <a href="/docs/0.16.1-incubating/querying/aggregations.html">Aggregations</a></td><td>yes</td></tr>
<tr><td>postAggregations</td><td>Supports only aggregations as input; See <a href="/docs/0.16.1-incubating/querying/post-aggregations.html">Post Aggregations</a></td><td>no</td></tr>
<tr><td>intervals</td><td>A JSON Object representing ISO-8601 Intervals. This defines the time ranges to run the query over.</td><td>yes</td></tr>
<tr><td>context</td><td>An additional JSON Object which can be used to specify certain flags.</td><td>no</td></tr>
<tr><td>averagers</td><td>Defines the moving average function; See <a href="#averagers">Averagers</a></td><td>yes</td></tr>
<tr><td>postAveragers</td><td>Support input of both averagers and aggregations; Syntax is identical to postAggregations (See <a href="/docs/0.16.1-incubating/querying/post-aggregations.html">Post Aggregations</a>)</td><td>no</td></tr>
</tbody>
</table>
<h2><a class="anchor" aria-hidden="true" id="averagers"></a><a href="#averagers" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Averagers</h2>
<p>Averagers are used to define the Moving-Average function. Averagers are not limited to an average - they can also provide other types of window functions such as MAX()/MIN().</p>
<h3><a class="anchor" aria-hidden="true" id="properties"></a><a href="#properties" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Properties</h3>
<p>These are properties which are common to all Averagers:</p>
<table>
<thead>
<tr><th>property</th><th>description</th><th>required?</th></tr>
</thead>
<tbody>
<tr><td>type</td><td>Averager type; See <a href="#averager-types">Averager types</a></td><td>yes</td></tr>
<tr><td>name</td><td>Averager name</td><td>yes</td></tr>
<tr><td>fieldName</td><td>Input name (An aggregation name)</td><td>yes</td></tr>
<tr><td>buckets</td><td>Number of lookback buckets (time periods), including current one. Must be &gt;0</td><td>yes</td></tr>
<tr><td>cycleSize</td><td>Cycle size; Used to calculate day-of-week option; See <a href="#cycle-size-day-of-week">Cycle size (Day of Week)</a></td><td>no, defaults to 1</td></tr>
</tbody>
</table>
<h3><a class="anchor" aria-hidden="true" id="averager-types"></a><a href="#averager-types" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Averager types:</h3>
<ul>
<li><a href="#standard-averagers">Standard averagers</a>:
<ul>
<li>doubleMean</li>
<li>doubleMeanNoNulls</li>
<li>doubleMax</li>
<li>doubleMin</li>
<li>longMean</li>
<li>longMeanNoNulls</li>
<li>longMax</li>
<li>longMin</li>
</ul></li>
</ul>
<h4><a class="anchor" aria-hidden="true" id="standard-averagers"></a><a href="#standard-averagers" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Standard averagers</h4>
<p>These averagers offer four functions:</p>
<ul>
<li>Mean (Average)</li>
<li>MeanNoNulls (Ignores empty buckets).</li>
<li>Max</li>
<li>Min</li>
</ul>
<p><strong>Ignoring nulls</strong>:
Using a MeanNoNulls averager is useful when the interval starts at the dataset beginning time.
In that case, the first records will ignore missing buckets and average won't be artificially low.
However, this also means that empty days in a sparse dataset will also be ignored.</p>
<p>Example of usage:</p>
<pre><code class="hljs css language-json">{ <span class="hljs-attr">"type"</span> : <span class="hljs-string">"doubleMean"</span>, <span class="hljs-attr">"name"</span> : &lt;output_name&gt;, <span class="hljs-attr">"fieldName"</span>: &lt;input_name&gt; }
</code></pre>
<h3><a class="anchor" aria-hidden="true" id="cycle-size-day-of-week"></a><a href="#cycle-size-day-of-week" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Cycle size (Day of Week)</h3>
<p>This optional parameter is used to calculate over a single bucket within each cycle instead of all buckets.
A prime example would be weekly buckets, resulting in a Day of Week calculation. (Other examples: Month of year, Hour of day).</p>
<p>I.e. when using these parameters:</p>
<ul>
<li><em>granularity</em>: period=P1D (daily)</li>
<li><em>buckets</em>: 28</li>
<li><em>cycleSize</em>: 7</li>
</ul>
<p>Within each output record, the averager will compute the result over the following buckets: current (#0), #7, #14, #21.
Whereas without specifying cycleSize it would have computed over all 28 buckets.</p>
<h2><a class="anchor" aria-hidden="true" id="examples"></a><a href="#examples" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Examples</h2>
<p>All examples are based on the Wikipedia dataset provided in the Druid <a href="/docs/0.16.1-incubating/tutorials/index.html">tutorials</a>.</p>
<h3><a class="anchor" aria-hidden="true" id="basic-example"></a><a href="#basic-example" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Basic example</h3>
<p>Calculating a 7-buckets moving average for Wikipedia edit deltas.</p>
<p>Query syntax:</p>
<pre><code class="hljs css language-json">{
<span class="hljs-attr">"queryType"</span>: <span class="hljs-string">"movingAverage"</span>,
<span class="hljs-attr">"dataSource"</span>: <span class="hljs-string">"wikipedia"</span>,
<span class="hljs-attr">"granularity"</span>: {
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"period"</span>,
<span class="hljs-attr">"period"</span>: <span class="hljs-string">"PT30M"</span>
},
<span class="hljs-attr">"intervals"</span>: [
<span class="hljs-string">"2015-09-12T00:00:00Z/2015-09-13T00:00:00Z"</span>
],
<span class="hljs-attr">"aggregations"</span>: [
{
<span class="hljs-attr">"name"</span>: <span class="hljs-string">"delta30Min"</span>,
<span class="hljs-attr">"fieldName"</span>: <span class="hljs-string">"delta"</span>,
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"longSum"</span>
}
],
<span class="hljs-attr">"averagers"</span>: [
{
<span class="hljs-attr">"name"</span>: <span class="hljs-string">"trailing30MinChanges"</span>,
<span class="hljs-attr">"fieldName"</span>: <span class="hljs-string">"delta30Min"</span>,
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"longMean"</span>,
<span class="hljs-attr">"buckets"</span>: <span class="hljs-number">7</span>
}
]
}
</code></pre>
<p>Result:</p>
<pre><code class="hljs css language-json">[ {
"version" : "v1",
"timestamp" : "2015-09-12T00:30:00.000Z",
"event" : {
"delta30Min" : 30490,
"trailing30MinChanges" : 4355.714285714285
}
}, {
"version" : "v1",
"timestamp" : "2015-09-12T01:00:00.000Z",
"event" : {
"delta30Min" : 96526,
"trailing30MinChanges" : 18145.14285714286
}
}, {
...
...
...
}, {
"version" : "v1",
"timestamp" : "2015-09-12T23:00:00.000Z",
"event" : {
"delta30Min" : 119100,
"trailing30MinChanges" : 198697.2857142857
}
}, {
"version" : "v1",
"timestamp" : "2015-09-12T23:30:00.000Z",
"event" : {
"delta30Min" : 177882,
"trailing30MinChanges" : 193890.0
}
}
</code></pre>
<h3><a class="anchor" aria-hidden="true" id="post-averager-example"></a><a href="#post-averager-example" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Post averager example</h3>
<p>Calculating a 7-buckets moving average for Wikipedia edit deltas, plus a ratio between the current period and the moving average.</p>
<p>Query syntax:</p>
<pre><code class="hljs css language-json">{
<span class="hljs-attr">"queryType"</span>: <span class="hljs-string">"movingAverage"</span>,
<span class="hljs-attr">"dataSource"</span>: <span class="hljs-string">"wikipedia"</span>,
<span class="hljs-attr">"granularity"</span>: {
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"period"</span>,
<span class="hljs-attr">"period"</span>: <span class="hljs-string">"PT30M"</span>
},
<span class="hljs-attr">"intervals"</span>: [
<span class="hljs-string">"2015-09-12T22:00:00Z/2015-09-13T00:00:00Z"</span>
],
<span class="hljs-attr">"aggregations"</span>: [
{
<span class="hljs-attr">"name"</span>: <span class="hljs-string">"delta30Min"</span>,
<span class="hljs-attr">"fieldName"</span>: <span class="hljs-string">"delta"</span>,
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"longSum"</span>
}
],
<span class="hljs-attr">"averagers"</span>: [
{
<span class="hljs-attr">"name"</span>: <span class="hljs-string">"trailing30MinChanges"</span>,
<span class="hljs-attr">"fieldName"</span>: <span class="hljs-string">"delta30Min"</span>,
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"longMean"</span>,
<span class="hljs-attr">"buckets"</span>: <span class="hljs-number">7</span>
}
],
<span class="hljs-attr">"postAveragers"</span> : [
{
<span class="hljs-attr">"name"</span>: <span class="hljs-string">"ratioTrailing30MinChanges"</span>,
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"arithmetic"</span>,
<span class="hljs-attr">"fn"</span>: <span class="hljs-string">"/"</span>,
<span class="hljs-attr">"fields"</span>: [
{
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"fieldAccess"</span>,
<span class="hljs-attr">"fieldName"</span>: <span class="hljs-string">"delta30Min"</span>
},
{
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"fieldAccess"</span>,
<span class="hljs-attr">"fieldName"</span>: <span class="hljs-string">"trailing30MinChanges"</span>
}
]
}
]
}
</code></pre>
<p>Result:</p>
<pre><code class="hljs css language-json">[ {
<span class="hljs-attr">"version"</span> : <span class="hljs-string">"v1"</span>,
<span class="hljs-attr">"timestamp"</span> : <span class="hljs-string">"2015-09-12T22:00:00.000Z"</span>,
<span class="hljs-attr">"event"</span> : {
<span class="hljs-attr">"delta30Min"</span> : <span class="hljs-number">144269</span>,
<span class="hljs-attr">"trailing30MinChanges"</span> : <span class="hljs-number">204088.14285714287</span>,
<span class="hljs-attr">"ratioTrailing30MinChanges"</span> : <span class="hljs-number">0.7068955500319539</span>
}
}, {
<span class="hljs-attr">"version"</span> : <span class="hljs-string">"v1"</span>,
<span class="hljs-attr">"timestamp"</span> : <span class="hljs-string">"2015-09-12T22:30:00.000Z"</span>,
<span class="hljs-attr">"event"</span> : {
<span class="hljs-attr">"delta30Min"</span> : <span class="hljs-number">242860</span>,
<span class="hljs-attr">"trailing30MinChanges"</span> : <span class="hljs-number">214031.57142857142</span>,
<span class="hljs-attr">"ratioTrailing30MinChanges"</span> : <span class="hljs-number">1.134692411867141</span>
}
}, {
<span class="hljs-attr">"version"</span> : <span class="hljs-string">"v1"</span>,
<span class="hljs-attr">"timestamp"</span> : <span class="hljs-string">"2015-09-12T23:00:00.000Z"</span>,
<span class="hljs-attr">"event"</span> : {
<span class="hljs-attr">"delta30Min"</span> : <span class="hljs-number">119100</span>,
<span class="hljs-attr">"trailing30MinChanges"</span> : <span class="hljs-number">198697.2857142857</span>,
<span class="hljs-attr">"ratioTrailing30MinChanges"</span> : <span class="hljs-number">0.5994042624782422</span>
}
}, {
<span class="hljs-attr">"version"</span> : <span class="hljs-string">"v1"</span>,
<span class="hljs-attr">"timestamp"</span> : <span class="hljs-string">"2015-09-12T23:30:00.000Z"</span>,
<span class="hljs-attr">"event"</span> : {
<span class="hljs-attr">"delta30Min"</span> : <span class="hljs-number">177882</span>,
<span class="hljs-attr">"trailing30MinChanges"</span> : <span class="hljs-number">193890.0</span>,
<span class="hljs-attr">"ratioTrailing30MinChanges"</span> : <span class="hljs-number">0.9174377224199288</span>
}
} ]
</code></pre>
<h3><a class="anchor" aria-hidden="true" id="cycle-size-example"></a><a href="#cycle-size-example" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Cycle size example</h3>
<p>Calculating an average of every first 10-minutes of the last 3 hours:</p>
<p>Query syntax:</p>
<pre><code class="hljs css language-json">{
<span class="hljs-attr">"queryType"</span>: <span class="hljs-string">"movingAverage"</span>,
<span class="hljs-attr">"dataSource"</span>: <span class="hljs-string">"wikipedia"</span>,
<span class="hljs-attr">"granularity"</span>: {
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"period"</span>,
<span class="hljs-attr">"period"</span>: <span class="hljs-string">"PT10M"</span>
},
<span class="hljs-attr">"intervals"</span>: [
<span class="hljs-string">"2015-09-12T00:00:00Z/2015-09-13T00:00:00Z"</span>
],
<span class="hljs-attr">"aggregations"</span>: [
{
<span class="hljs-attr">"name"</span>: <span class="hljs-string">"delta10Min"</span>,
<span class="hljs-attr">"fieldName"</span>: <span class="hljs-string">"delta"</span>,
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"doubleSum"</span>
}
],
<span class="hljs-attr">"averagers"</span>: [
{
<span class="hljs-attr">"name"</span>: <span class="hljs-string">"trailing10MinPerHourChanges"</span>,
<span class="hljs-attr">"fieldName"</span>: <span class="hljs-string">"delta10Min"</span>,
<span class="hljs-attr">"type"</span>: <span class="hljs-string">"doubleMeanNoNulls"</span>,
<span class="hljs-attr">"buckets"</span>: <span class="hljs-number">18</span>,
<span class="hljs-attr">"cycleSize"</span>: <span class="hljs-number">6</span>
}
]
}
</code></pre>
</span></div></article></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/0.16.1-incubating/development/extensions-contrib/momentsketch-quantiles.html"><span class="arrow-prev">← </span><span>Moment Sketches for Approximate Quantiles module</span></a><a class="docs-next button" href="/docs/0.16.1-incubating/development/extensions-contrib/opentsdb-emitter.html"><span class="function-name-prevnext">OpenTSDB Emitter</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#overview">Overview</a></li><li><a href="#operations">Operations</a></li><li><a href="#configuration">Configuration</a></li><li><a href="#limitations">Limitations</a></li><li><a href="#averagers">Averagers</a><ul class="toc-headings"><li><a href="#properties">Properties</a></li><li><a href="#averager-types">Averager types:</a></li><li><a href="#cycle-size-day-of-week">Cycle size (Day of Week)</a></li></ul></li><li><a href="#examples">Examples</a><ul class="toc-headings"><li><a href="#basic-example">Basic example</a></li><li><a href="#post-averager-example">Post averager example</a></li><li><a href="#cycle-size-example">Cycle size example</a></li></ul></li></ul></nav></div><footer class="nav-footer druid-footer" id="footer"><div class="container"><div class="text-center"><p><a href="/technology">Technology</a> · <a href="/use-cases">Use Cases</a> · <a href="/druid-powered">Powered by Druid</a> · <a href="/docs/0.16.1-incubating/latest">Docs</a> · <a href="/community/">Community</a> · <a href="/downloads.html">Download</a> · <a href="/faq">FAQ</a></p></div><div class="text-center"><a title="Join the user group" href="https://groups.google.com/forum/#!forum/druid-user" target="_blank"><span class="fa fa-comments"></span></a> · <a title="Follow Druid" href="https://twitter.com/druidio" target="_blank"><span class="fab fa-twitter"></span></a> · <a title="Download via Apache" href="https://www.apache.org/dyn/closer.cgi?path=/incubator/druid/{{ site.druid_versions[0].versions[0].version }}/apache-druid-{{ site.druid_versions[0].versions[0].version }}-bin.tar.gz" target="_blank"><span class="fas fa-feather"></span></a> · <a title="GitHub" href="https://github.com/apache/incubator-druid" target="_blank"><span class="fab fa-github"></span></a></div><div class="text-center license">Copyright © 2019 <a href="https://www.apache.org/" target="_blank">Apache Software Foundation</a>.<br/>Except where otherwise noted, licensed under <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">CC BY-SA 4.0</a>.<br/>Apache Druid, Druid, and the Druid logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</div></div></footer></div><script type="text/javascript" src="https://cdn.jsdelivr.net/docsearch.js/1/docsearch.min.js"></script><script>
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