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 |  | 
 | <h1 id="moving-average-queries">Moving Average Queries</h1> | 
 |  | 
 | <h2 id="overview">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 id="high-level-algorithm">High level algorithm</h4> | 
 |  | 
 | <p>Moving Average encapsulates the <a href="../../querying/groupbyquery.html">groupBy query</a> (Or <a href="../../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: | 
 | 1. 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). | 
 | 2. Passes over aggregated results in Broker, in order to compute Averagers (i.e. moving 7 day average of the daily count).</p> | 
 |  | 
 | <h4 id="main-enhancements-provided-by-this-extension">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 id="further-reading">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 id="operations">Operations</h2> | 
 |  | 
 | <p>To use this extension, make sure to <a href="../../operations/including-extensions.html">load</a> <code>druid-moving-average-query</code> only to the Broker.</p> | 
 |  | 
 | <h2 id="configuration">Configuration</h2> | 
 |  | 
 | <p>There are currently no configuration properties specific to Moving Average.</p> | 
 |  | 
 | <h2 id="limitations">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> | 
 |  | 
 | <h2 id="query-spec">Query spec:</h2> | 
 |  | 
 | <ul> | 
 | <li>Most properties in the query spec derived from  <a href="../../querying/groupbyquery.html">groupBy query</a> / <a href="../../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 "movingAverage"; 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="../../querying/datasource.html">DataSource</a> for more information.</td> | 
 | <td>yes</td> | 
 | </tr> | 
 | <tr> | 
 | <td>dimensions</td> | 
 | <td>A JSON list of <a href="../../querying/dimensionspecs.html">DimensionSpec</a> (Notice that property is optional)</td> | 
 | <td>no</td> | 
 | </tr> | 
 | <tr> | 
 | <td>limitSpec</td> | 
 | <td>See <a href="../../querying/limitspec.html">LimitSpec</a></td> | 
 | <td>no</td> | 
 | </tr> | 
 | <tr> | 
 | <td>having</td> | 
 | <td>See <a href="../../querying/having.html">Having</a></td> | 
 | <td>no</td> | 
 | </tr> | 
 | <tr> | 
 | <td>granularity</td> | 
 | <td>A period granilarity; See <a href="../../querying/granularities.html#period-granularities">Period Granularities</a></td> | 
 | <td>yes</td> | 
 | </tr> | 
 | <tr> | 
 | <td>filter</td> | 
 | <td>See <a href="../../querying/filters.html">Filters</a></td> | 
 | <td>no</td> | 
 | </tr> | 
 | <tr> | 
 | <td>aggregations</td> | 
 | <td>Aggregations forms the input to Averagers; See <a href="../../querying/aggregations.html">Aggregations</a></td> | 
 | <td>yes</td> | 
 | </tr> | 
 | <tr> | 
 | <td>postAggregations</td> | 
 | <td>Supports only aggregations as input; See <a href="../../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="../../querying/post-aggregations.html">Post Aggregations</a>)</td> | 
 | <td>no</td> | 
 | </tr> | 
 | </tbody></table> | 
 |  | 
 | <h2 id="averagers">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 id="properties">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 >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 id="averager-types">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 id="standard-averagers">Standard averagers</h4> | 
 |  | 
 | <p>These averagers offer four functions: | 
 | * Mean (Average) | 
 | * MeanNoNulls (Ignores empty buckets). | 
 | * Max | 
 | * Min</p> | 
 |  | 
 | <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: | 
 | <code>json | 
 | { "type" : "doubleMean", "name" : <output_name>, "fieldName": <input_name> } | 
 | </code></p> | 
 |  | 
 | <h3 id="cycle-size-day-of-week">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: | 
 | * <em>granularity</em>: period=P1D (daily) | 
 | * <em>buckets</em>: 28 | 
 | * <em>cycleSize</em>: 7</p> | 
 |  | 
 | <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 id="examples">Examples</h2> | 
 |  | 
 | <p>All examples are based on the Wikipedia dataset provided in the Druid <a href="../../tutorials/index.html">tutorials</a>.</p> | 
 |  | 
 | <h3 id="basic-example">Basic example</h3> | 
 |  | 
 | <p>Calculating a 7-buckets moving average for Wikipedia edit deltas.</p> | 
 |  | 
 | <p>Query syntax: | 
 | <code>json | 
 | { | 
 |   "queryType": "movingAverage", | 
 |   "dataSource": "wikipedia", | 
 |   "granularity": { | 
 |     "type": "period", | 
 |     "period": "PT30M" | 
 |   }, | 
 |   "intervals": [ | 
 |     "2015-09-12T00:00:00Z/2015-09-13T00:00:00Z" | 
 |   ], | 
 |   "aggregations": [ | 
 |     { | 
 |       "name": "delta30Min", | 
 |       "fieldName": "delta", | 
 |       "type": "longSum" | 
 |     } | 
 |   ], | 
 |   "averagers": [ | 
 |     { | 
 |       "name": "trailing30MinChanges", | 
 |       "fieldName": "delta30Min", | 
 |       "type": "longMean", | 
 |       "buckets": 7 | 
 |     } | 
 |   ] | 
 | } | 
 | </code></p> | 
 |  | 
 | <p>Result: | 
 | <code>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></p> | 
 |  | 
 | <h3 id="post-averager-example">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: | 
 | <code>json | 
 | { | 
 |   "queryType": "movingAverage", | 
 |   "dataSource": "wikipedia", | 
 |   "granularity": { | 
 |     "type": "period", | 
 |     "period": "PT30M" | 
 |   }, | 
 |   "intervals": [ | 
 |     "2015-09-12T22:00:00Z/2015-09-13T00:00:00Z" | 
 |   ], | 
 |   "aggregations": [ | 
 |     { | 
 |       "name": "delta30Min", | 
 |       "fieldName": "delta", | 
 |       "type": "longSum" | 
 |     } | 
 |   ], | 
 |   "averagers": [ | 
 |     { | 
 |       "name": "trailing30MinChanges", | 
 |       "fieldName": "delta30Min", | 
 |       "type": "longMean", | 
 |       "buckets": 7 | 
 |     } | 
 |   ], | 
 |   "postAveragers" : [ | 
 |     { | 
 |       "name": "ratioTrailing30MinChanges", | 
 |       "type": "arithmetic", | 
 |       "fn": "/", | 
 |       "fields": [ | 
 |         { | 
 |           "type": "fieldAccess", | 
 |           "fieldName": "delta30Min" | 
 |         }, | 
 |         { | 
 |           "type": "fieldAccess", | 
 |           "fieldName": "trailing30MinChanges" | 
 |         } | 
 |       ] | 
 |     } | 
 |   ] | 
 | } | 
 | </code></p> | 
 |  | 
 | <p>Result: | 
 | <code>json | 
 | [ { | 
 |   "version" : "v1", | 
 |   "timestamp" : "2015-09-12T22:00:00.000Z", | 
 |   "event" : { | 
 |     "delta30Min" : 144269, | 
 |     "trailing30MinChanges" : 204088.14285714287, | 
 |     "ratioTrailing30MinChanges" : 0.7068955500319539 | 
 |   } | 
 | }, { | 
 |   "version" : "v1", | 
 |   "timestamp" : "2015-09-12T22:30:00.000Z", | 
 |   "event" : { | 
 |     "delta30Min" : 242860, | 
 |     "trailing30MinChanges" : 214031.57142857142, | 
 |     "ratioTrailing30MinChanges" : 1.134692411867141 | 
 |   } | 
 | }, { | 
 |   "version" : "v1", | 
 |   "timestamp" : "2015-09-12T23:00:00.000Z", | 
 |   "event" : { | 
 |     "delta30Min" : 119100, | 
 |     "trailing30MinChanges" : 198697.2857142857, | 
 |     "ratioTrailing30MinChanges" : 0.5994042624782422 | 
 |   } | 
 | }, { | 
 |   "version" : "v1", | 
 |   "timestamp" : "2015-09-12T23:30:00.000Z", | 
 |   "event" : { | 
 |     "delta30Min" : 177882, | 
 |     "trailing30MinChanges" : 193890.0, | 
 |     "ratioTrailing30MinChanges" : 0.9174377224199288 | 
 |   } | 
 | } ] | 
 | </code></p> | 
 |  | 
 | <h3 id="cycle-size-example">Cycle size example</h3> | 
 |  | 
 | <p>Calculating an average of every first 10-minutes of the last 3 hours:</p> | 
 |  | 
 | <p>Query syntax: | 
 | <code>json | 
 | { | 
 |   "queryType": "movingAverage", | 
 |   "dataSource": "wikipedia", | 
 |   "granularity": { | 
 |     "type": "period", | 
 |     "period": "PT10M" | 
 |   }, | 
 |   "intervals": [ | 
 |     "2015-09-12T00:00:00Z/2015-09-13T00:00:00Z" | 
 |   ], | 
 |   "aggregations": [ | 
 |     { | 
 |       "name": "delta10Min", | 
 |       "fieldName": "delta", | 
 |       "type": "doubleSum" | 
 |     } | 
 |   ], | 
 |   "averagers": [ | 
 |     { | 
 |       "name": "trailing10MinPerHourChanges", | 
 |       "fieldName": "delta10Min", | 
 |       "type": "doubleMeanNoNulls", | 
 |       "buckets": 18, | 
 |       "cycleSize": 6 | 
 |     } | 
 |   ] | 
 | } | 
 | </code></p> | 
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