Kinetica C# API  Version 6.2.0.1
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 
10 
11 namespace kinetica
12 {
13 
60  {
61 
156  public struct Stats
157  {
158 
161  public const string COUNT = "count";
162 
165  public const string MEAN = "mean";
166 
169  public const string STDV = "stdv";
170 
173  public const string VARIANCE = "variance";
174 
176  public const string SKEW = "skew";
177 
179  public const string KURTOSIS = "kurtosis";
180 
182  public const string SUM = "sum";
183 
185  public const string MIN = "min";
186 
188  public const string MAX = "max";
189 
192  public const string WEIGHTED_AVERAGE = "weighted_average";
193 
195  public const string CARDINALITY = "cardinality";
196 
199  public const string ESTIMATED_CARDINALITY = "estimated_cardinality";
200 
205  public const string PERCENTILE = "percentile";
206 
211  public const string PERCENTILE_RANK = "percentile_rank";
212  } // end struct Stats
213 
214 
238  public struct Options
239  {
240 
247  public const string ADDITIONAL_COLUMN_NAMES = "additional_column_names";
248 
251  public const string WEIGHT_COLUMN_NAME = "weight_column_name";
252  } // end struct Options
253 
254 
257  public string table_name { get; set; }
258 
261  public string column_name { get; set; }
262 
355  public string stats { get; set; }
356 
378  public IDictionary<string, string> options { get; set; } = new Dictionary<string, string>();
379 
380 
384 
507  string column_name,
508  string stats,
509  IDictionary<string, string> options = null)
510  {
511  this.table_name = table_name ?? "";
512  this.column_name = column_name ?? "";
513  this.stats = stats ?? "";
514  this.options = options ?? new Dictionary<string, string>();
515  } // end constructor
516 
517  } // end class AggregateStatisticsRequest
518 
519 
520 
525  {
526 
529  public IDictionary<string, double> stats { get; set; } = new Dictionary<string, double>();
530 
531  } // end class AggregateStatisticsResponse
532 
533 
534 
535 
536 } // end namespace kinetica
const string SUM
Sum of all values in the column(s).
Comma separated list of the statistics to calculate, e.g.
AggregateStatisticsRequest(string table_name, string column_name, string stats, IDictionary< string, string > options=null)
Constructs an AggregateStatisticsRequest object with the specified parameters.
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...
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 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.
A set of parameters for Kinetica.aggregateStatistics(string,string,string,IDictionary<string, string>).
KineticaData - class to help with Avro Encoding for Kinetica
Definition: KineticaData.cs:14
A set of results returned by Kinetica.aggregateStatistics(string,string,string,IDictionary<string, string>).
const string STDV
Sample standard deviation (denominator is count-1).