Deprecated API

Contents

• Interfaces
• Classes
• Methods

Interfaces

Interface	Description
cern.nxcals.api.ingestion.DataServiceEncoder	- please use DataEncoder The role of this component is to encode the @see Data record meta information into the internal service representation. The implementation of this interface is required to know the definition of the system (entity & partition key information).

Classes

Class	Description
cern.nxcals.api.ingestion.DataServiceEncoderImpl	- please use DataEncoderImpl

Methods

Method	Description
cern.nxcals.api.backport.client.service.QuerySnapshotDataServiceImpl.getSnapshotWithAttributes(Snapshot)	this does nothing, please do not use
cern.nxcals.api.backport.domain.core.metadata.VariableList.getStamp()	this functionality has been fully removed
cern.nxcals.api.backport.domain.core.metadata.VariableList.setStamp(String)	this functionality has been fully removed
cern.nxcals.api.backport.domain.core.metadata.VariableSet.getVariable(int)	you should not try to obtain an n-th element of a set, even if it is an ordered set. Very inefficient.
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesData.getNumericValue()	(never use, major performance hit)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesData.getNumericValueAtVectorIndex(int)	(never use, performance hit)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesData.getVectorNumericValues()	(never use, major performance hit)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesData.print(LoggingTimeZone)	(never use, antipattern)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesDataSet.add(TimeseriesData)	(never use, major performance hit, could have led to unpredictable states)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesDataSet.addAll(Collection<? extends TimeseriesData>)	(never use, major performance hit, could have led to unpredictable states)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesDataSet.addTimeseriesData(TimeseriesData)	(never use, major performance hit, could have led to unpredictable states)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesDataSet.append(TimeseriesDataSet)	(never use, major performance hit, could have led to unpredictable states)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesDataSet.clear()	(never use, major performance hit, could have led to unpredictable states)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesDataSet.print(LoggingTimeZone)	(never use, antipattern)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesDataSet.remove(Object)	(never use, major performance hit, could have led to unpredictable states)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesDataSet.removeAll(Collection<?>)	(never use, major performance hit, could have led to unpredictable states)
cern.nxcals.api.backport.domain.core.timeseriesdata.SparkTimeseriesDataSet.retainAll(Collection<?>)	(never use, major performance hit, could have led to unpredictable states)
cern.nxcals.api.backport.domain.core.timeseriesdata.TimeseriesData.getNumericValue()	Use getDoubleValue instead
cern.nxcals.api.backport.domain.core.timeseriesdata.TimeseriesData.getNumericValueAtVectorIndex(int)	use getDoubleValueAtIndex instead
cern.nxcals.api.backport.domain.core.timeseriesdata.TimeseriesData.getVectorNumericIndexes()	Use getVectorIndexes instead
cern.nxcals.api.backport.domain.core.timeseriesdata.TimeseriesData.getVectorNumericValues()	use getDoubleValues() instead
cern.nxcals.api.backport.domain.core.timeseriesdata.TimeseriesDataSet.addTimeseriesData(TimeseriesData)	(never use, major performance hit, can lead to unpredictable states)
cern.nxcals.api.backport.domain.core.timeseriesdata.TimeseriesDataSet.append(TimeseriesDataSet)	(never use, major performance hit, can lead to unpredictable states)
cern.nxcals.api.backport.domain.core.timeseriesdata.TimeseriesDataSet.listIterator()	(never use, major performance hit, can lead to unpredictable states)
cern.nxcals.api.backport.domain.core.timeseriesdata.VariableStatisticsSet.getStatisticsList()	very inefficient and conceptually wrong. Never use.
cern.nxcals.api.backport.domain.core.timeseriesdata.VariableStatisticsSet.getVariableStatistics(int)	you should not try to obtain an n-th element of a set, even if it is an ordered set. Very inefficient. Never use.
cern.nxcals.api.extraction.data.builders.fluent.DeviceStageLoop.buildDataset()	- Please use build()
cern.nxcals.api.extraction.data.builders.fluent.KeyValueStageLoop.buildDataset()	- Please use build()
cern.nxcals.api.extraction.data.builders.fluent.VariableStageLoop.buildDataset()	- Please use build()
cern.nxcals.api.extraction.data.converter.SparkRowToImmutableDataConverter.convert(Row)	please use SparkRowToImmutableDataConverter
cern.nxcals.api.extraction.metadata.HierarchyService.setEntities(long, Collection<Entity>)	this method will be removed in a future release. Please use setEntities(long hierarchyId, Set entityIds);
cern.nxcals.api.extraction.metadata.HierarchyService.setVariables(long, Collection<Variable>)	this method will be removed in a future release. Please use setVariables(long hierarchyId, Set variableIds);
cern.nxcals.api.extraction.thin.AvroQuery.Codec.valueOf(int)