Deprecated API

Contents

• Interfaces
• Classes
• Methods
• Constructors

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 and 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.backport.domain.util.FundamentalUtils.createDatasetFromFundamentals(Timestamp, Timestamp, VariableSet, DataQuery)	(always pass SparkSession parameter instead of DataQuery builder, additional validation can be performed)
cern.nxcals.api.custom.service.aggregation.WindowAggregationProperties.getIntervalSeconds()	please use WindowAggregationProperties.getIntervalMillis() instead
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<Long> 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<Long> variableIds);
cern.nxcals.api.extraction.thin.AvroQuery.Codec.valueOf(int)

Constructors

Constructor	Description
cern.nxcals.api.backport.domain.core.metadata.Hierarchy(String, String)	please use Hierarchy() instead