io.druid.benchmark.datagen

Class BenchmarkColumnSchema

java.lang.Object

io.druid.benchmark.datagen.BenchmarkColumnSchema

public class BenchmarkColumnSchema
extends Object

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	BenchmarkColumnSchema.ValueDistribution SEQUENTIAL: Generate integer or enumerated values in sequence.

Method Summary

Modifier and Type	Method and Description
BenchmarkColumnSchema.ValueDistribution	getDistributionType()
Double	getEndDouble()
Integer	getEndInt()
List<Double>	getEnumeratedProbabilities()
List<Object>	getEnumeratedValues()
Double	getMean()
String	getName()
Double	getNullProbability()
int	getRowSize()
Double	getStandardDeviation()
Double	getStartDouble()
Integer	getStartInt()
ValueType	getType()
Double	getZipfExponent()
boolean	isMetric()
static BenchmarkColumnSchema	makeContinuousUniform(String name, ValueType type, boolean isMetric, int rowSize, Double nullProbability, double startDouble, double endDouble)
static BenchmarkColumnSchema	makeDiscreteUniform(String name, ValueType type, boolean isMetric, int rowSize, Double nullProbability, int startInt, int endInt)
static BenchmarkColumnSchema	makeEnumerated(String name, ValueType type, boolean isMetric, int rowSize, Double nullProbability, List<Object> enumeratedValues, List<Double> enumeratedProbabilities)
static BenchmarkColumnSchema	makeEnumeratedDiscreteUniform(String name, ValueType type, boolean isMetric, int rowSize, Double nullProbability, List<Object> enumeratedValues)
static BenchmarkColumnSchema	makeEnumeratedSequential(String name, ValueType type, boolean isMetric, int rowSize, Double nullProbability, List<Object> enumeratedValues)
static BenchmarkColumnSchema	makeEnumeratedZipf(String name, ValueType type, boolean isMetric, int rowSize, Double nullProbability, List<Object> enumeratedValues, Double zipfExponent)
BenchmarkColumnValueGenerator	makeGenerator(long seed)
static BenchmarkColumnSchema	makeNormal(String name, ValueType type, boolean isMetric, int rowSize, Double nullProbability, Double mean, Double standardDeviation, boolean useRounding)
static BenchmarkColumnSchema	makeSequential(String name, ValueType type, boolean isMetric, int rowSize, Double nullProbability, int startInt, int endInt)
static BenchmarkColumnSchema	makeZipf(String name, ValueType type, boolean isMetric, int rowSize, Double nullProbability, int startInt, int endInt, Double zipfExponent)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

makeGenerator

public BenchmarkColumnValueGenerator makeGenerator(long seed)

getName

public String getName()

getNullProbability

public Double getNullProbability()

getType

public ValueType getType()

isMetric

public boolean isMetric()

getDistributionType

public BenchmarkColumnSchema.ValueDistribution getDistributionType()

getRowSize

public int getRowSize()

getEnumeratedValues

public List<Object> getEnumeratedValues()

getEnumeratedProbabilities

public List<Double> getEnumeratedProbabilities()

getStartInt

public Integer getStartInt()

getEndInt

public Integer getEndInt()

getStartDouble

public Double getStartDouble()

getEndDouble

public Double getEndDouble()

getZipfExponent

public Double getZipfExponent()

getMean

public Double getMean()

getStandardDeviation

public Double getStandardDeviation()

makeSequential

public static BenchmarkColumnSchema makeSequential(String name,
                                                   ValueType type,
                                                   boolean isMetric,
                                                   int rowSize,
                                                   Double nullProbability,
                                                   int startInt,
                                                   int endInt)

makeEnumeratedSequential

public static BenchmarkColumnSchema makeEnumeratedSequential(String name,
                                                             ValueType type,
                                                             boolean isMetric,
                                                             int rowSize,
                                                             Double nullProbability,
                                                             List<Object> enumeratedValues)

makeDiscreteUniform

public static BenchmarkColumnSchema makeDiscreteUniform(String name,
                                                        ValueType type,
                                                        boolean isMetric,
                                                        int rowSize,
                                                        Double nullProbability,
                                                        int startInt,
                                                        int endInt)

makeEnumeratedDiscreteUniform

public static BenchmarkColumnSchema makeEnumeratedDiscreteUniform(String name,
                                                                  ValueType type,
                                                                  boolean isMetric,
                                                                  int rowSize,
                                                                  Double nullProbability,
                                                                  List<Object> enumeratedValues)

makeContinuousUniform

public static BenchmarkColumnSchema makeContinuousUniform(String name,
                                                          ValueType type,
                                                          boolean isMetric,
                                                          int rowSize,
                                                          Double nullProbability,
                                                          double startDouble,
                                                          double endDouble)

makeNormal

public static BenchmarkColumnSchema makeNormal(String name,
                                               ValueType type,
                                               boolean isMetric,
                                               int rowSize,
                                               Double nullProbability,
                                               Double mean,
                                               Double standardDeviation,
                                               boolean useRounding)

makeZipf

public static BenchmarkColumnSchema makeZipf(String name,
                                             ValueType type,
                                             boolean isMetric,
                                             int rowSize,
                                             Double nullProbability,
                                             int startInt,
                                             int endInt,
                                             Double zipfExponent)

makeEnumeratedZipf

public static BenchmarkColumnSchema makeEnumeratedZipf(String name,
                                                       ValueType type,
                                                       boolean isMetric,
                                                       int rowSize,
                                                       Double nullProbability,
                                                       List<Object> enumeratedValues,
                                                       Double zipfExponent)

makeEnumerated

public static BenchmarkColumnSchema makeEnumerated(String name,
                                                   ValueType type,
                                                   boolean isMetric,
                                                   int rowSize,
                                                   Double nullProbability,
                                                   List<Object> enumeratedValues,
                                                   List<Double> enumeratedProbabilities)