Kinetica C# API  Version 6.0.1.0
 All Classes Namespaces Files Functions Variables Enumerations Enumerator Properties Pages
AggregateStatistics.cs
Go to the documentation of this file.
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 
54  {
55 
63  public struct Stats
64  {
65 
68  public const string COUNT = "count";
69 
72  public const string MEAN = "mean";
73 
76  public const string STDV = "stdv";
77 
80  public const string VARIANCE = "variance";
81 
83  public const string SKEW = "skew";
84 
86  public const string KURTOSIS = "kurtosis";
87 
89  public const string SUM = "sum";
90 
92  public const string MIN = "min";
93 
95  public const string MAX = "max";
96 
99  public const string WEIGHTED_AVERAGE = "weighted_average";
100 
102  public const string CARDINALITY = "cardinality";
103 
106  public const string ESTIMATED_CARDINALITY = "estimated_cardinality";
107 
111  public const string PERCENTILE = "percentile";
112 
117  public const string PERCENTILE_RANK = "percentile_rank";
118  } // end struct Stats
119 
120 
142  public struct Options
143  {
144 
151  public const string ADDITIONAL_COLUMN_NAMES = "additional_column_names";
152 
155  public const string WEIGHT_COLUMN_NAME = "weight_column_name";
156  } // end struct Options
157 
158 
161  public string table_name { get; set; }
162 
165  public string column_name { get; set; }
166 
172  public string stats { get; set; }
173 
193  public IDictionary<string, string> options { get; set; } = new Dictionary<string, string>();
194 
195 
199 
233  string column_name,
234  string stats,
235  IDictionary<string, string> options = null)
236  {
237  this.table_name = table_name ?? "";
238  this.column_name = column_name ?? "";
239  this.stats = stats ?? "";
240  this.options = options ?? new Dictionary<string, string>();
241  } // end constructor
242 
243  } // end class AggregateStatisticsRequest
244 
245 
246 
249  {
250 
253  public IDictionary<string, double> stats { get; set; } = new Dictionary<string, double>();
254 
255  } // end class AggregateStatisticsResponse
256 
257 
258 
259 
260 } // 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...
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.
A set of parameters for /aggregate/statistics.
KineticaData - class to help with Avro Encoding for Kinetica
Definition: KineticaData.cs:14
A set of results returned by /aggregate/statistics.
const string STDV
Sample standard deviation (denominator is count-1).