Kinetica   C#   API  Version 7.2.3.0
AggregateStatistics.cs
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1 /*
2  * This file was autogenerated by the Kinetica schema processor.
3  *
4  * DO NOT EDIT DIRECTLY.
5  */
6 
7 using System.Collections.Generic;
8 
9 namespace kinetica
10 {
64  {
69  public struct Stats
70  {
73  public const string COUNT = "count";
74 
77  public const string MEAN = "mean";
78 
81  public const string STDV = "stdv";
82 
85  public const string VARIANCE = "variance";
86 
88  public const string SKEW = "skew";
89 
91  public const string KURTOSIS = "kurtosis";
92 
94  public const string SUM = "sum";
95 
97  public const string MIN = "min";
98 
100  public const string MAX = "max";
101 
105  public const string WEIGHTED_AVERAGE = "weighted_average";
106 
108  public const string CARDINALITY = "cardinality";
109 
112  public const string ESTIMATED_CARDINALITY = "estimated_cardinality";
113 
120  public const string PERCENTILE = "percentile";
121 
126  public const string PERCENTILE_RANK = "percentile_rank";
127  } // end struct Stats
128 
132  public struct Options
133  {
141  public const string ADDITIONAL_COLUMN_NAMES = "additional_column_names";
142 
145  public const string WEIGHT_COLUMN_NAME = "weight_column_name";
146  } // end struct Options
147 
152  public string table_name { get; set; }
153 
156  public string column_name { get; set; }
157 
245  public string stats { get; set; }
246 
269  public IDictionary<string, string> options { get; set; } = new Dictionary<string, string>();
270 
274 
396  string column_name,
397  string stats,
398  IDictionary<string, string> options = null)
399  {
400  this.table_name = table_name ?? "";
401  this.column_name = column_name ?? "";
402  this.stats = stats ?? "";
403  this.options = options ?? new Dictionary<string, string>();
404  } // end constructor
405  } // end class AggregateStatisticsRequest
406 
411  {
414  public IDictionary<string, double> stats { get; set; } = new Dictionary<string, double>();
415 
417  public IDictionary<string, string> info { get; set; } = new Dictionary<string, string>();
418  } // end class AggregateStatisticsResponse
419 } // end namespace kinetica
const string SUM
Sum of all values in the column(s).
A set of string constants for the parameter stats.
AggregateStatisticsRequest(string table_name, string column_name, string stats, IDictionary< string, string > options=null)
Constructs an AggregateStatisticsRequest object with the specified parameters.
IDictionary< string, string > info
Additional information.
const string WEIGHTED_AVERAGE
Weighted arithmetic mean (using the option WEIGHT_COLUMN_NAME as the weighting column).
const string MEAN
Arithmetic mean (average), equivalent to sum/count.
const string PERCENTILE
Estimate (via t-digest) of the given percentile of the column(s) (percentile(50.0) will be an approxi...
IDictionary< string, double > stats
(statistic name, double value) pairs of the requested statistics, including the total count by defaul...
const string ESTIMATED_CARDINALITY
Estimate (via hyperloglog technique) of the number of unique values in the column(s).
AggregateStatisticsRequest()
Constructs an AggregateStatisticsRequest object with default parameters.
const string CARDINALITY
Number of unique values in the column(s).
const string SKEW
Skewness (third standardized moment).
const string VARIANCE
Unbiased sample variance (denominator is count-1).
const string MAX
Maximum value of the column(s).
string column_name
Name of the primary column for which the statistics are to be calculated.
IDictionary< string, string > options
Optional parameters.
const string COUNT
Number of objects (independent of the given column(s)).
string stats
Comma separated list of the statistics to calculate, e.g.
const string KURTOSIS
Kurtosis (fourth standardized moment).
const string MIN
Minimum value of the column(s).
const string WEIGHT_COLUMN_NAME
Name of column used as weighting attribute for the weighted average statistic.
const string ADDITIONAL_COLUMN_NAMES
A list of comma separated column names over which statistics can be accumulated along with the primar...
const string PERCENTILE_RANK
Estimate (via t-digest) of the percentile rank of the given value in the column(s) (if the given valu...
string table_name
Name of the table on which the statistics operation will be performed, in [schema_name.
A set of parameters for Kinetica.aggregateStatistics.
KineticaData - class to help with Avro Encoding for Kinetica
Definition: KineticaData.cs:14
A set of string constants for the parameter options.
A set of results returned by Kinetica.aggregateStatistics.
const string STDV
Sample standard deviation (denominator is count-1).