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# gpudb::AggregateStatisticsRequest

> gpudb::AggregateStatisticsRequest — Kinetica C++ API

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    <p>A set of parameters for <a className="el" href="/content/api/cpp/classgpudb_1_1GPUdb#ae8be38925c2de5770cde61ce058641c6">GPUdb::aggregateStatistics</a>. <a href="#details">More...</a></p>
    <p><code>#include \<<a className="el" href="/content/api/cpp/aggregate__statistics_8h_source">gpudb/protocol/aggregate\_statistics.h</a>></code></p>

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        <td className="memItemRight" valign="bottom"><a className="el" href="#a477e19ad8bc43bcda9ed5869eb37223d">AggregateStatisticsRequest</a> ()</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Constructs an <a className="el" href="/content/api/cpp/structgpudb_1_1AggregateStatisticsRequest" title="A set of parameters for GPUdb::aggregateStatistics.">AggregateStatisticsRequest</a> object with default parameters. <br /></td>
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        <td className="memItemRight" valign="bottom"><a className="el" href="#a56f14e973ea93453a2066cce112a96f6">AggregateStatisticsRequest</a> (const std::string \&tableName\_, const std::string \&columnName\_, const std::string \&stats\_, const std::map\< std::string, std::string > \&options\_)</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Constructs an <a className="el" href="/content/api/cpp/structgpudb_1_1AggregateStatisticsRequest" title="A set of parameters for GPUdb::aggregateStatistics.">AggregateStatisticsRequest</a> object with the specified parameters. <br /></td>
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          <h2 className="groupheader"> Public Attributes</h2>
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        <td className="mdescRight">Name of the table on which the statistics operation will be performed, in \[ schema\_name. ]table\_name format, using standard <a href="/content/concepts/tables/#table-name-resolution" target="_top">name resolution rules</a>. <br /></td>
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        <td className="memItemLeft" align="right" valign="top">std::string </td>
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        <td className="mdescRight">Name of the primary column for which the statistics are to be calculated. <br /></td>
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        <td className="mdescRight">Comma separated list of the statistics to calculate, e.g. <br /></td>
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        <td className="memItemLeft" align="right" valign="top">std::map\< std::string, std::string > </td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Optional parameters. <br /></td>
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    <h2 className="groupheader">Detailed Description</h2>

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      <p>A set of parameters for <a className="el" href="/content/api/cpp/classgpudb_1_1GPUdb#ae8be38925c2de5770cde61ce058641c6">GPUdb::aggregateStatistics</a>. </p>
      <p>Calculates the requested statistics of the given column(s) in a given table.</p>
      <p>The available statistics are: <a className="el" href="/content/api/cpp/namespacegpudb#a910faa6f48dd193f18aba29b5c960344">count</a> (number of total objects), <a className="el" href="/content/api/cpp/namespacegpudb#a321e05dbc66fb2bd763a96e37c2ef28c">mean</a>, <a className="el" href="/content/api/cpp/namespacegpudb#a80eb30610a806779605b67de7a650a88">stdv</a> (standard deviation), <a className="el" href="/content/api/cpp/namespacegpudb#add21322ff5f88391b8453a054b4b37a2">variance</a>, <a className="el" href="/content/api/cpp/namespacegpudb#a27661ef055a1ceaf3712e11ecf627488">skew</a>, <a className="el" href="/content/api/cpp/namespacegpudb#af4bc4d865eef8b909cd55780ae4af232">kurtosis</a>, <a className="el" href="/content/api/cpp/namespacegpudb#aa117dbda93c32c62770145de97c4c9c2">sum</a>, <a className="el" href="/content/api/cpp/namespacegpudb#a90baeec3c38fc6bd4953070dc6c9d0ea">min</a>, <a className="el" href="/content/api/cpp/namespacegpudb#a912e6ca011bcd0ea98799d9db7152459">max</a>, <a className="el" href="/content/api/cpp/namespacegpudb#a673d92e6228a5a96680db7b385aeceb4">weighted\_average</a>, <a className="el" href="/content/api/cpp/namespacegpudb#aa88f43507d7f396847a0a10a054c8b31">cardinality</a> (unique count), <a className="el" href="/content/api/cpp/namespacegpudb#aecd79bad34930f168402bea13f361615">estimated\_cardinality</a>, <a className="el" href="/content/api/cpp/namespacegpudb#a6b2e607ab0d4568753af82c6cb796057">percentile</a>, and <a className="el" href="/content/api/cpp/namespacegpudb#a543743eb2266f91be3240a5ce00dbfbf">percentile\_rank</a>.</p>
      <p>Estimated cardinality is calculated by using the hyperloglog approximation technique.</p>
      <p>Percentiles and percentile ranks are approximate and are calculated using the t-digest algorithm. They must include the desired <a className="el" href="/content/api/cpp/namespacegpudb#a6b2e607ab0d4568753af82c6cb796057">percentile</a>/<a className="el" href="/content/api/cpp/namespacegpudb#a543743eb2266f91be3240a5ce00dbfbf">percentile\_rank</a>. To compute multiple percentiles each value must be specified separately (i.e. 'percentile(75.0),percentile(99.0),percentile\_rank(1234.56),percentile\_rank(-5)').</p>
      <p>A second, comma-separated value can be added to the <a className="el" href="/content/api/cpp/namespacegpudb#a6b2e607ab0d4568753af82c6cb796057">percentile</a> statistic to calculate percentile resolution, e.g., a 50th percentile with 200 resolution would be 'percentile(50,200)'.</p>
      <p>The weighted average statistic requires a weight column to be specified in <a className="el" href="/content/api/cpp/namespacegpudb#a1ab2e07eb9717291d5a706cdb09639ae">weight\_column\_name</a>. The weighted average is then defined as the sum of the products of <a className="el" href="#a89707d310f05b515e33352c74ed15c1e">columnName</a> times the <a className="el" href="/content/api/cpp/namespacegpudb#a1ab2e07eb9717291d5a706cdb09639ae">weight\_column\_name</a> values divided by the sum of the <a className="el" href="/content/api/cpp/namespacegpudb#a1ab2e07eb9717291d5a706cdb09639ae">weight\_column\_name</a> values.</p>
      <p>Additional columns can be used in the calculation of statistics via <a className="el" href="/content/api/cpp/namespacegpudb#ac247aec8a5036be28db98f2a2b7f01f2">additional\_column\_names</a>. Values in these columns will be included in the overall aggregate calculation–individual aggregates will not be calculated per additional column. For instance, requesting the <a className="el" href="/content/api/cpp/namespacegpudb#a910faa6f48dd193f18aba29b5c960344">count</a> and <a className="el" href="/content/api/cpp/namespacegpudb#a321e05dbc66fb2bd763a96e37c2ef28c">mean</a> of <a className="el" href="#a89707d310f05b515e33352c74ed15c1e">columnName</a> x and <a className="el" href="/content/api/cpp/namespacegpudb#ac247aec8a5036be28db98f2a2b7f01f2">additional\_column\_names</a> y and z, where x holds the numbers 1-10, y holds 11-20, and z holds 21-30, would return the total number of x, y, and z values (30), and the single average value across all x, y, and z values (15.5).</p>
      <p>The response includes a list of key/value pairs of each statistic requested and its corresponding value. </p>
      <p className="definition">Definition at line <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source#l00076">76</a> of file <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source">aggregate\_statistics.h</a>.</p>
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    <h2 className="groupheader">Constructor & Destructor Documentation</h2>
    <h2 className="memtitle"><span className="permalink"><a href="#a477e19ad8bc43bcda9ed5869eb37223d">◆ </a></span>AggregateStatisticsRequest() <span className="overload">\[1/2]</span></h2>

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        <p>Constructs an <a className="el" href="/content/api/cpp/structgpudb_1_1AggregateStatisticsRequest" title="A set of parameters for GPUdb::aggregateStatistics.">AggregateStatisticsRequest</a> object with default parameters. </p>
        <p className="definition">Definition at line <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source#l00082">82</a> of file <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source">aggregate\_statistics.h</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a56f14e973ea93453a2066cce112a96f6">◆ </a></span>AggregateStatisticsRequest() <span className="overload">\[2/2]</span></h2>

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        <p>Constructs an <a className="el" href="/content/api/cpp/structgpudb_1_1AggregateStatisticsRequest" title="A set of parameters for GPUdb::aggregateStatistics.">AggregateStatisticsRequest</a> object with the specified parameters. </p>

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                <td className="paramdir">\[in]</td>
                <td className="paramname">tableName\_</td>
                <td>Name of the table on which the statistics operation will be performed, in \[schema\_name.]table\_name format, using standard <a href="/content/concepts/tables/#table-name-resolution" target="_top">name resolution rules</a>. </td>
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                <td>Name of the primary column for which the statistics are to be calculated. </td>
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                  Comma separated list of the statistics to calculate, e.g. "sum,mean". Supported values:

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                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#a910faa6f48dd193f18aba29b5c960344">aggregate\_statistics\_count</a>: Number of objects (independent of the given column(s)). </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#a321e05dbc66fb2bd763a96e37c2ef28c">aggregate\_statistics\_mean</a>: Arithmetic mean (average), equivalent to sum/count. </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#a80eb30610a806779605b67de7a650a88">aggregate\_statistics\_stdv</a>: Sample standard deviation (denominator is count-1). </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#add21322ff5f88391b8453a054b4b37a2">aggregate\_statistics\_variance</a>: Unbiased sample variance (denominator is count-1). </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#a27661ef055a1ceaf3712e11ecf627488">aggregate\_statistics\_skew</a>: Skewness (third standardized moment). </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#af4bc4d865eef8b909cd55780ae4af232">aggregate\_statistics\_kurtosis</a>: Kurtosis (fourth standardized moment). </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#aa117dbda93c32c62770145de97c4c9c2">aggregate\_statistics\_sum</a>: Sum of all values in the column(s). </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#a90baeec3c38fc6bd4953070dc6c9d0ea">aggregate\_statistics\_min</a>: Minimum value of the column(s). </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#a912e6ca011bcd0ea98799d9db7152459">aggregate\_statistics\_max</a>: Maximum value of the column(s). </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#a673d92e6228a5a96680db7b385aeceb4">aggregate\_statistics\_weighted\_average</a>: Weighted arithmetic mean (using the option <a className="el" href="/content/api/cpp/namespacegpudb#a1ab2e07eb9717291d5a706cdb09639ae">weight\_column\_name</a> as the weighting column). </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#aa88f43507d7f396847a0a10a054c8b31">aggregate\_statistics\_cardinality</a>: Number of unique values in the column(s). </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#aecd79bad34930f168402bea13f361615">aggregate\_statistics\_estimated\_cardinality</a>: Estimate (via hyperloglog technique) of the number of unique values in the column(s). </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#a6b2e607ab0d4568753af82c6cb796057">aggregate\_statistics\_percentile</a>: Estimate (via t-digest) of the given percentile of the column(s) (percentile(50.0) will be an approximation of the median). Add a second, comma-separated value to calculate percentile resolution, e.g., 'percentile(75,150)'. </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#a543743eb2266f91be3240a5ce00dbfbf">aggregate\_statistics\_percentile\_rank</a>: Estimate (via t-digest) of the percentile rank of the given value in the column(s) (if the given value is the median of the column(s), percentile\_rank(\<median>) will return approximately 50.0). </li>
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                <td className="paramdir">\[in]</td>
                <td className="paramname">options\_</td>

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                  Optional parameters.

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                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#ac247aec8a5036be28db98f2a2b7f01f2">aggregate\_statistics\_additional\_column\_names</a>: A list of comma separated column names over which statistics can be accumulated along with the primary column. All columns listed and <span className="em arg">columnName\_</span> must be of the same type. Must not include the column specified in <span className="em arg">columnName\_</span> and no column can be listed twice. </li>
                    <li> <a className="el" href="/content/api/cpp/namespacegpudb#a1ab2e07eb9717291d5a706cdb09639ae">aggregate\_statistics\_weight\_column\_name</a>: Name of column used as weighting attribute for the weighted average statistic. </li>
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                  The default value is an empty map.
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        <p className="definition">Definition at line <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source#l00195">195</a> of file <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source">aggregate\_statistics.h</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a89707d310f05b515e33352c74ed15c1e">◆ </a></span>columnName</h2>

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        <p>Name of the primary column for which the statistics are to be calculated. </p>
        <p className="definition">Definition at line <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source#l00215">215</a> of file <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source">aggregate\_statistics.h</a>.</p>
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        <p>Optional parameters. </p>

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          <li> <a className="el" href="/content/api/cpp/namespacegpudb#ac247aec8a5036be28db98f2a2b7f01f2">aggregate\_statistics\_additional\_column\_names</a>: A list of comma separated column names over which statistics can be accumulated along with the primary column. All columns listed and <a className="el" href="#a89707d310f05b515e33352c74ed15c1e">columnName</a> must be of the same type. Must not include the column specified in <a className="el" href="#a89707d310f05b515e33352c74ed15c1e">columnName</a> and no column can be listed twice. </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#a1ab2e07eb9717291d5a706cdb09639ae">aggregate\_statistics\_weight\_column\_name</a>: Name of column used as weighting attribute for the weighted average statistic. </li>
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        <p>The default value is an empty map. </p>
        <p className="definition">Definition at line <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source#l00292">292</a> of file <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source">aggregate\_statistics.h</a>.</p>
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        <p>Comma separated list of the statistics to calculate, e.g. </p>
        <p>\ "sum,mean". Supported values: </p>

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          <li> <a className="el" href="/content/api/cpp/namespacegpudb#a910faa6f48dd193f18aba29b5c960344">aggregate\_statistics\_count</a>: Number of objects (independent of the given column(s)). </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#a321e05dbc66fb2bd763a96e37c2ef28c">aggregate\_statistics\_mean</a>: Arithmetic mean (average), equivalent to sum/count. </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#a80eb30610a806779605b67de7a650a88">aggregate\_statistics\_stdv</a>: Sample standard deviation (denominator is count-1). </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#add21322ff5f88391b8453a054b4b37a2">aggregate\_statistics\_variance</a>: Unbiased sample variance (denominator is count-1). </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#a27661ef055a1ceaf3712e11ecf627488">aggregate\_statistics\_skew</a>: Skewness (third standardized moment). </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#af4bc4d865eef8b909cd55780ae4af232">aggregate\_statistics\_kurtosis</a>: Kurtosis (fourth standardized moment). </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#aa117dbda93c32c62770145de97c4c9c2">aggregate\_statistics\_sum</a>: Sum of all values in the column(s). </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#a90baeec3c38fc6bd4953070dc6c9d0ea">aggregate\_statistics\_min</a>: Minimum value of the column(s). </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#a912e6ca011bcd0ea98799d9db7152459">aggregate\_statistics\_max</a>: Maximum value of the column(s). </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#a673d92e6228a5a96680db7b385aeceb4">aggregate\_statistics\_weighted\_average</a>: Weighted arithmetic mean (using the option <a className="el" href="/content/api/cpp/namespacegpudb#a1ab2e07eb9717291d5a706cdb09639ae">weight\_column\_name</a> as the weighting column). </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#aa88f43507d7f396847a0a10a054c8b31">aggregate\_statistics\_cardinality</a>: Number of unique values in the column(s). </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#aecd79bad34930f168402bea13f361615">aggregate\_statistics\_estimated\_cardinality</a>: Estimate (via hyperloglog technique) of the number of unique values in the column(s). </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#a6b2e607ab0d4568753af82c6cb796057">aggregate\_statistics\_percentile</a>: Estimate (via t-digest) of the given percentile of the column(s) (percentile(50.0) will be an approximation of the median). Add a second, comma-separated value to calculate percentile resolution, e.g., 'percentile(75,150)'. </li>
          <li> <a className="el" href="/content/api/cpp/namespacegpudb#a543743eb2266f91be3240a5ce00dbfbf">aggregate\_statistics\_percentile\_rank</a>: Estimate (via t-digest) of the percentile rank of the given value in the column(s) (if the given value is the median of the column(s), percentile\_rank(\<median>) will return approximately 50.0). </li>
        </ul>

        <p className="definition">Definition at line <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source#l00273">273</a> of file <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source">aggregate\_statistics.h</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a995a9698bcd1253009e378f7dcec6472">◆ </a></span>tableName</h2>

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            <td className="memname">std::string gpudb::AggregateStatisticsRequest::tableName</td>
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        <p>Name of the table on which the statistics operation will be performed, in \[ schema\_name. ]table\_name format, using standard <a href="/content/concepts/tables/#table-name-resolution" target="_top">name resolution rules</a>. </p>
        <p className="definition">Definition at line <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source#l00209">209</a> of file <a className="el" href="/content/api/cpp/aggregate__statistics_8h_source">aggregate\_statistics.h</a>.</p>
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    The documentation for this struct was generated from the following file:

    <ul>
      <li>gpudb/protocol/<a className="el" href="/content/api/cpp/aggregate__statistics_8h_source">aggregate\_statistics.h</a></li>
    </ul>
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