Package | Description |
---|---|
io.druid.benchmark.datagen |
Modifier and Type | Method and Description |
---|---|
BenchmarkColumnSchema |
BenchmarkColumnValueGenerator.getSchema() |
static BenchmarkColumnSchema |
BenchmarkColumnSchema.makeContinuousUniform(String name,
ValueType type,
boolean isMetric,
int rowSize,
Double nullProbability,
double startDouble,
double endDouble) |
static BenchmarkColumnSchema |
BenchmarkColumnSchema.makeDiscreteUniform(String name,
ValueType type,
boolean isMetric,
int rowSize,
Double nullProbability,
int startInt,
int endInt) |
static BenchmarkColumnSchema |
BenchmarkColumnSchema.makeEnumerated(String name,
ValueType type,
boolean isMetric,
int rowSize,
Double nullProbability,
List<Object> enumeratedValues,
List<Double> enumeratedProbabilities) |
static BenchmarkColumnSchema |
BenchmarkColumnSchema.makeEnumeratedDiscreteUniform(String name,
ValueType type,
boolean isMetric,
int rowSize,
Double nullProbability,
List<Object> enumeratedValues) |
static BenchmarkColumnSchema |
BenchmarkColumnSchema.makeEnumeratedSequential(String name,
ValueType type,
boolean isMetric,
int rowSize,
Double nullProbability,
List<Object> enumeratedValues) |
static BenchmarkColumnSchema |
BenchmarkColumnSchema.makeEnumeratedZipf(String name,
ValueType type,
boolean isMetric,
int rowSize,
Double nullProbability,
List<Object> enumeratedValues,
Double zipfExponent) |
static BenchmarkColumnSchema |
BenchmarkColumnSchema.makeNormal(String name,
ValueType type,
boolean isMetric,
int rowSize,
Double nullProbability,
Double mean,
Double standardDeviation,
boolean useRounding) |
static BenchmarkColumnSchema |
BenchmarkColumnSchema.makeSequential(String name,
ValueType type,
boolean isMetric,
int rowSize,
Double nullProbability,
int startInt,
int endInt) |
static BenchmarkColumnSchema |
BenchmarkColumnSchema.makeZipf(String name,
ValueType type,
boolean isMetric,
int rowSize,
Double nullProbability,
int startInt,
int endInt,
Double zipfExponent) |
Modifier and Type | Method and Description |
---|---|
List<BenchmarkColumnSchema> |
BenchmarkSchemaInfo.getColumnSchemas() |
Constructor and Description |
---|
BenchmarkColumnValueGenerator(BenchmarkColumnSchema schema,
long seed) |
Constructor and Description |
---|
BenchmarkDataGenerator(List<BenchmarkColumnSchema> columnSchemas,
long seed,
org.joda.time.Interval interval,
int numRows) |
BenchmarkDataGenerator(List<BenchmarkColumnSchema> columnSchemas,
long seed,
long startTime,
int numConsecutiveTimestamps,
Double timestampIncrement) |
BenchmarkSchemaInfo(List<BenchmarkColumnSchema> columnSchemas,
List<AggregatorFactory> aggs,
org.joda.time.Interval dataInterval,
boolean withRollup) |
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