org.wso2.extension.siddhi.execution.timeseries

Class LengthTimeLinearRegressionForecastStreamProcessor

java.lang.Object

io.siddhi.core.query.processor.stream.AbstractStreamProcessor<S>

io.siddhi.core.query.processor.stream.StreamProcessor<io.siddhi.core.util.snapshot.state.State>

org.wso2.extension.siddhi.execution.timeseries.LengthTimeLinearRegressionForecastStreamProcessor

All Implemented Interfaces:

io.siddhi.core.query.processor.Processor, io.siddhi.core.util.extension.holder.ExternalReferencedHolder

public class LengthTimeLinearRegressionForecastStreamProcessor
extends io.siddhi.core.query.processor.stream.StreamProcessor<io.siddhi.core.util.snapshot.state.State>

Sample Query1 (time window, length window, nextX, y, x): from InputStream#timeseries:lengthTimeOutlier(20 min, 20, x+2, y, x) select * insert into OutputStream;

Sample Query2 (time window, length window, nextX, calculation interval, confidence interval, y, x): from InputStream#timeseries:lengthTimeOutlier(20 min, 20, x+2, 2, 0.9, y, x) select * insert into OutputStream;

This class performs enables users to forecast future events using linear regression Number of data points could be constrained using both time and length windows.

Field Summary

Fields inherited from class io.siddhi.core.query.processor.stream.AbstractStreamProcessor

attributeExpressionExecutors, attributeExpressionLength, complexEventPopulater, inputDefinition, metaStreamEvent, nextProcessor, siddhiQueryContext, stateHolder, streamEventClonerHolder

Constructor Summary

Constructors

Constructor and Description
LengthTimeLinearRegressionForecastStreamProcessor()

Method Summary

Modifier and Type	Method and Description
io.siddhi.core.query.processor.ProcessingMode	getProcessingMode()
List<io.siddhi.query.api.definition.Attribute>	getReturnAttributes()
protected io.siddhi.core.util.snapshot.state.StateFactory<io.siddhi.core.util.snapshot.state.State>	init(io.siddhi.core.event.stream.MetaStreamEvent metaStreamEvent, io.siddhi.query.api.definition.AbstractDefinition abstractDefinition, io.siddhi.core.executor.ExpressionExecutor[] expressionExecutors, io.siddhi.core.util.config.ConfigReader configReader, io.siddhi.core.event.stream.holder.StreamEventClonerHolder streamEventClonerHolder, boolean b, boolean b1, io.siddhi.core.config.SiddhiQueryContext siddhiQueryContext) The init method of the LinearRegressionOutlierStreamProcessor.
protected void	process(io.siddhi.core.event.ComplexEventChunk<io.siddhi.core.event.stream.StreamEvent> streamEventChunk, io.siddhi.core.query.processor.Processor nextProcessor, io.siddhi.core.event.stream.StreamEventCloner streamEventCloner, io.siddhi.core.event.stream.populater.ComplexEventPopulater complexEventPopulater, io.siddhi.core.util.snapshot.state.State state) The main processing method that will be called upon event arrival.
void	start() This will be called only once and this can be used to acquire required resources for the processing element.
void	stop() This will be called only once and this can be used to release the acquired resources for processing.

Methods inherited from class io.siddhi.core.query.processor.stream.StreamProcessor

processEventChunk

Methods inherited from class io.siddhi.core.query.processor.stream.AbstractStreamProcessor

constructStreamEventPopulater, getNextProcessor, initProcessor, process, setNextProcessor, setStreamEventCloner, setToLast

Methods inherited from class java.lang.Object

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

Constructor Detail

LengthTimeLinearRegressionForecastStreamProcessor

public LengthTimeLinearRegressionForecastStreamProcessor()

Method Detail

init

protected io.siddhi.core.util.snapshot.state.StateFactory<io.siddhi.core.util.snapshot.state.State> init(io.siddhi.core.event.stream.MetaStreamEvent metaStreamEvent,
                                                                                                         io.siddhi.query.api.definition.AbstractDefinition abstractDefinition,
                                                                                                         io.siddhi.core.executor.ExpressionExecutor[] expressionExecutors,
                                                                                                         io.siddhi.core.util.config.ConfigReader configReader,
                                                                                                         io.siddhi.core.event.stream.holder.StreamEventClonerHolder streamEventClonerHolder,
                                                                                                         boolean b,
                                                                                                         boolean b1,
                                                                                                         io.siddhi.core.config.SiddhiQueryContext siddhiQueryContext)

The init method of the LinearRegressionOutlierStreamProcessor. This method will be called before other methods

Specified by:

init in class io.siddhi.core.query.processor.stream.AbstractStreamProcessor<io.siddhi.core.util.snapshot.state.State>

Parameters:

abstractDefinition - the incoming stream definition

expressionExecutors - the executors of each function parameters

siddhiQueryContext - siddhi query context

Returns:

the additional output attributes introduced by the function

process

protected void process(io.siddhi.core.event.ComplexEventChunk<io.siddhi.core.event.stream.StreamEvent> streamEventChunk,
                       io.siddhi.core.query.processor.Processor nextProcessor,
                       io.siddhi.core.event.stream.StreamEventCloner streamEventCloner,
                       io.siddhi.core.event.stream.populater.ComplexEventPopulater complexEventPopulater,
                       io.siddhi.core.util.snapshot.state.State state)

The main processing method that will be called upon event arrival.

Specified by:

process in class io.siddhi.core.query.processor.stream.StreamProcessor<io.siddhi.core.util.snapshot.state.State>

Parameters:

streamEventChunk - the event chunk that need to be processed

nextProcessor - the next processor to which the success events need to be passed

streamEventCloner - helps to clone the incoming event for local storage or modification

complexEventPopulater - helps to populate the events with the resultant attributes

start

public void start()

This will be called only once and this can be used to acquire required resources for the processing element. This will be called after initializing the system and before starting to process the events.

stop

public void stop()

This will be called only once and this can be used to release the acquired resources for processing. This will be called before shutting down the system.

getReturnAttributes

public List<io.siddhi.query.api.definition.Attribute> getReturnAttributes()

Specified by:

getReturnAttributes in class io.siddhi.core.query.processor.stream.AbstractStreamProcessor<io.siddhi.core.util.snapshot.state.State>

getProcessingMode

public io.siddhi.core.query.processor.ProcessingMode getProcessingMode()

Specified by:

getProcessingMode in class io.siddhi.core.query.processor.stream.AbstractStreamProcessor<io.siddhi.core.util.snapshot.state.State>