7 using System.Collections.Generic;
161 public const string COUNT =
"count";
165 public const string MEAN =
"mean";
169 public const string STDV =
"stdv";
176 public const string SKEW =
"skew";
182 public const string SUM =
"sum";
185 public const string MIN =
"min";
188 public const string MAX =
"max";
378 public IDictionary<string, string>
options {
get; set; } =
new Dictionary<string, string>();
509 IDictionary<string, string>
options = null)
511 this.table_name = table_name ??
"";
512 this.column_name = column_name ??
"";
513 this.stats = stats ??
"";
514 this.options =
options ??
new Dictionary<string, string>();
529 public IDictionary<string, double>
stats {
get; set; } =
new Dictionary<string, double>();
532 public IDictionary<string, string>
info {
get; set; } =
new Dictionary<string, string>();
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.
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.
A set of parameters for Kinetica.aggregateStatistics(string,string,string,IDictionary{string, string}).
KineticaData - class to help with Avro Encoding for Kinetica
A set of results returned by Kinetica.aggregateStatistics(string,string,string,IDictionary{string, string}).
const string STDV
Sample standard deviation (denominator is count-1).