Uses of Class
com.pervasive.datarush.annotations.PropertyDescription

Packages that use PropertyDescription

Package	Description
com.actian.dataflow.operators.io.orc
com.pervasive.datarush.analytics.arm	Provides common classes for Association Rule Mining (ARM).
com.pervasive.datarush.analytics.arm.fpgrowth	Provides the operator to perform the FP-growth ARM algorithm.
com.pervasive.datarush.analytics.cleansing	Provides operators related to data cleansing.
com.pervasive.datarush.analytics.cluster	Provides base PMML for clustering models.
com.pervasive.datarush.analytics.cluster.kmeans	Provides the KMeans algorithm.
com.pervasive.datarush.analytics.decisiontree.learner	Provides the PMML learner operator and associated classes.
com.pervasive.datarush.analytics.decisiontree.predictor	Provides the decision tree predictor operator and associated classes.
com.pervasive.datarush.analytics.decisiontree.pruner	Provides the decision tree pruner operator and associated classes.
com.pervasive.datarush.analytics.knn	Provides an implementation of the KNN algorithm using DataRush's sparse data API.
com.pervasive.datarush.analytics.naivebayes.learner	Provides an implementation of the Naive Bayes learner.
com.pervasive.datarush.analytics.naivebayes.predictor	Provides an implementation of a Naive Bayes predictor.
com.pervasive.datarush.analytics.pmml	Provides shared and base classes for PMML model representation of Analytics algorithms.
com.pervasive.datarush.analytics.r
com.pervasive.datarush.analytics.regression	Provides utility, PMML and other classes for shared use by regression related entities.
com.pervasive.datarush.analytics.stats	Provides various statistics, Data Summarizer, and Data Quality Analyzer.
com.pervasive.datarush.analytics.text	Provides various unstructured text processing operators.
com.pervasive.datarush.analytics.viz	Provides operators for classifier performance visualization.
com.pervasive.datarush.hbase
com.pervasive.datarush.matching	Provides operators for performing discovering duplicates or links between records.
com.pervasive.datarush.matching.cluster	Provides operators for clustering the results of duplicate or linkage discovery.
com.pervasive.datarush.operators.assertion	Provides operators for making assertions on flows and files.
com.pervasive.datarush.operators.group	Provides data aggregation components.
com.pervasive.datarush.operators.io	Provides base file I/O components including encoders and decoders.
com.pervasive.datarush.operators.io.avro	Provides operators for reading and writing files in Avro format.
com.pervasive.datarush.operators.io.binary
com.pervasive.datarush.operators.io.jdbc	Provides operators for reading from JDBC sources and writing to JDBC targets.
com.pervasive.datarush.operators.io.mdf
com.pervasive.datarush.operators.io.staging	Provides operators for reading and writing DataRush staging datasets.
com.pervasive.datarush.operators.io.textfile	Provides operators for reading and writing text data.
com.pervasive.datarush.operators.io.vectorwise
com.pervasive.datarush.operators.io.vectorwise.dl
com.pervasive.datarush.operators.join	Provides operators for joining together two data sets into a single one.
com.pervasive.datarush.operators.model	Provides operators for handling models.
com.pervasive.datarush.operators.partition	Provides operators for partitioning and unpartitioning flows of data.
com.pervasive.datarush.operators.record	Provides operators for manipulating record structure.
com.pervasive.datarush.operators.scripting	Provides the RunScript operator for running user-defined scripts on the rows of an input record flow.
com.pervasive.datarush.operators.select	Provides operators for selecting a subset of the data set.
com.pervasive.datarush.operators.sink	Provides the LogRows operator for writing debugging information about a flow to the logging API.
com.pervasive.datarush.operators.sort	Provides operators for sorting and manipulating sorted flows.
com.pervasive.datarush.operators.source	Provides operators for generating data tokens in various ways.
com.pervasive.datarush.operators.string	Provides operators for operating on string values in records.
com.pervasive.datarush.script.operators.group

Uses of PropertyDescription in com.actian.dataflow.operators.io.orc

Methods in com.actian.dataflow.operators.io.orc with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	WriteORC.setCompression(com.actian.dataflow.hive.shims.ORCCompression compression)	Sets the compression mode to use within the ORC file.

Uses of PropertyDescription in com.pervasive.datarush.analytics.arm

Methods in com.pervasive.datarush.analytics.arm with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	ConvertARMModel.setConversionType(ConversionType conversionType)	Set the conversion type.
void	FrequentItems.setItemFieldName(String itemFieldName)	Set the item field name property.
void	FrequentItems.setLabelFieldName(String labelFieldName)	Set the optional label field name property.
void	FrequentItems.setMinSupport(double minSupport)	Set the minimum support property.
void	ConvertARMModel.setTarget(String targetPath)	Set the path for the target file of the conversion.
void	FrequentItems.setTxnFieldName(String txnFieldName)	Set the transaction field name property.

Uses of PropertyDescription in com.pervasive.datarush.analytics.arm.fpgrowth

Methods in com.pervasive.datarush.analytics.arm.fpgrowth with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	FPGrowth.setAnnotationText(String annotationText)	The text provided will be added as an annotation to the output PMML model.
void	FPGrowth.setItemFieldName(String itemFieldName)	Set the item field name property.
void	FPGrowth.setK(int k)	Set the largest item-set cardinality wanted.
void	FPGrowth.setLabelFieldName(String labelFieldName)	Set the optional label field name property.
void	FPGrowth.setMinConfidence(double minConfidence)	Set the minimum confidence threshold.
void	FPGrowth.setMinSupport(double minSupport)	Set the minimum support property.
void	FPGrowth.setTxnFieldName(String txnFieldName)	Set the transaction identifier field name property.

Uses of PropertyDescription in com.pervasive.datarush.analytics.cleansing

Methods in com.pervasive.datarush.analytics.cleansing with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	ReplaceMissingValues.setReplaceSpecifications(List<ReplaceSpecification> specifications)	Sets the replacement specifications to apply to the input data.

Uses of PropertyDescription in com.pervasive.datarush.analytics.cluster

Methods in com.pervasive.datarush.analytics.cluster with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	ClusterPredictor.setWinnerFieldName(String winnerFieldName)	Sets the name of the winner field in the output.

Uses of PropertyDescription in com.pervasive.datarush.analytics.cluster.kmeans

Methods in com.pervasive.datarush.analytics.cluster.kmeans with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	KMeans.setDistanceMeasure(DistanceMeasure distanceMeasure)	Sets the distance measure used to measure the distance between two points when building the model.
void	KMeans.setIncludedColumns(List<String> includedColumns)	Sets the list of columns to include for k-Means.
void	KMeans.setK(int k)	Sets the "k" value, where k is the number of centroids to compute.
void	KMeans.setMaxIterations(int max)	Sets the maximum number of iterations.

Uses of PropertyDescription in com.pervasive.datarush.analytics.decisiontree.learner

Methods in com.pervasive.datarush.analytics.decisiontree.learner with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	DecisionTreeLearner.setBinaryNominalSplits(boolean binaryNominalSplits)	Sets whether we use subsets of nominal values for splitting.
void	DecisionTreeLearner.setIncludedFields(List<String> includedFields)	Sets the list of columns to include for learning.
void	DecisionTreeLearner.setInMemoryDataset(boolean inMemoryDataset)	Sets whether the dataset is to be kept in memory while the decision tree is being build.
void	DecisionTreeLearner.setMaxDistinctNominalValues(int maxDistinctNominalValues)	Sets the maximum number of distinct nominal values to allow.
void	DecisionTreeLearner.setMaxTreeNodes(int maxTreeNodes)	Sets the maximum total nodes to allow in the tree.
void	DecisionTreeLearner.setMinRecordsPerNode(int minRecordsPerNode)	Sets the minimum number of records per-node to allow in the tree.
void	DecisionTreeLearner.setQualityMeasure(QualityMeasure qualityMeasure)	Sets the measure of quality to be used when determining the best split.
void	DecisionTreeLearner.setStagingBlockSize(int stagingBlockSize)	Configures the blockSize that is used when staging the original dataset prior to redistributing the data for training.
void	DecisionTreeLearner.setTargetColumn(String targetColumn)	Sets the name of the column to predict.

Uses of PropertyDescription in com.pervasive.datarush.analytics.decisiontree.predictor

Methods in com.pervasive.datarush.analytics.decisiontree.predictor with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	DecisionTreePredictor.setAppendConfidence(boolean appendConfidence)	Sets whether to append confidence information.
void	DecisionTreePredictor.setAppendRecordCount(boolean appendRecordCount)	Sets whether to append record count information.
void	DecisionTreePredictor.setConfidencePrefix(String confidencePrefix)	Sets the field name prefix to use for confidence.
void	DecisionTreePredictor.setRecordCountPrefix(String recordCountPrefix)	Sets the field name prefix to use for record counts.
void	DecisionTreePredictor.setWinnerField(String winnerField)	Sets the name of the winner field to output.

Uses of PropertyDescription in com.pervasive.datarush.analytics.decisiontree.pruner

Methods in com.pervasive.datarush.analytics.decisiontree.pruner with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	DecisionTreePruner.setConfiguration(PruneConfiguration configuration)	Sets the configuration that controls how pruning is performed.

Uses of PropertyDescription in com.pervasive.datarush.analytics.knn

Methods in com.pervasive.datarush.analytics.knn with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	KNNClassifier.setClassificationScheme(ClassificationScheme scheme)	Specifies how to determine the classification of a record in the query data from the classifications of its nearest neighbors in the example data.
void	KNNClassifier.setK(int k)	Sets the size of the nearest neighbor set.
void	KNNClassifier.setNearnessMeasure(NearnessMeasure measure)	Specifies how to determine the nearest neighbors of a record in the query data.
void	KNNClassifier.setSelectedFeatures(String... features)	Specifies the fields to use when determining the nearest neighbors.
void	KNNClassifier.setSelectedFeatures(List<String> features)	Specifies the fields to use when determining the nearest neighbors.
void	KNNClassifier.setTargetFeature(String feature)	Specifies the field in the example data which contains classification data.
void	KNNClassifier.setTrainingBuffer(long size)	Specifies the amount of memory, in bytes, to use for buffering the example data.
void	KNNClassifier.setTrainingBuffer(String sizeSpecifier)	Specifies the amount of memory to use for buffering the example data.

Uses of PropertyDescription in com.pervasive.datarush.analytics.naivebayes.learner

Methods in com.pervasive.datarush.analytics.naivebayes.learner with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	NaiveBayesLearner.setLearningColumns(List<String> learningColumns)	Sets the list of columns to be used to predict the output value.
void	NaiveBayesLearner.setTargetColumn(String targetColumn)	Sets the column to be predicted.

Uses of PropertyDescription in com.pervasive.datarush.analytics.naivebayes.predictor

Methods in com.pervasive.datarush.analytics.naivebayes.predictor with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	NaiveBayesPredictor.setAppendProbabilities(boolean appendProbabilities)	Sets whether to include probabilities in the prediction.
void	NaiveBayesPredictor.setIgnoreMissingValues(boolean ignoreMissingValues)	Sets whether to ignore missing values.
void	NaiveBayesPredictor.setLaplaceCorrector(double laplaceCorrector)	Sets the Laplace corrector to be used.
void	NaiveBayesPredictor.setProbabilityPrefix(String probabilityPrefix)	Sets the field name prefix to use for probabilities.
void	NaiveBayesPredictor.setWinnerField(String winnerField)	Sets the name of the winner field to output.

Uses of PropertyDescription in com.pervasive.datarush.analytics.pmml

Methods in com.pervasive.datarush.analytics.pmml with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	ReadPMML.setFilePath(String filePath)	Sets the file to read from
void	WritePMML.setTargetPathName(String targetPathName)	Sets the path to write to

Uses of PropertyDescription in com.pervasive.datarush.analytics.r

Methods in com.pervasive.datarush.analytics.r with annotations of type PropertyDescription

Modifier and Type	Method	Description
DataDistribution	RunRScript.getRequiredDataDistribution()	Get the value set for the required data distribution of the input port of this operator.
void	RunRScript.setCharset(String charsetName)	Set character set value which is used to format input and output data for R.
void	RunRScript.setOutputType(RecordTokenType outputType)	Configure the output token type.
void	RunRScript.setPathToRScript(String pathToRScript)	Set the path to the Rscript binary within the local R installation.
void	RunRScript.setScriptSnippet(String scriptSnippet)	Set the R script to execute.

Uses of PropertyDescription in com.pervasive.datarush.analytics.regression

Methods in com.pervasive.datarush.analytics.regression with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	LinearRegressionLearner.setDependentVariable(String dependentVariable)	Set the field name of the dependent variable.
void	SumOfSquares.setFieldNames(List<String> fieldNames)	Set the list of fields to apply sum of squares.
void	LinearRegressionLearner.setIndependentVariables(String... independentVariables)	Set the field names of the independent variables.
void	LogisticRegressionLearner.setMaxDistinctNominalValues(int maxDistinctNominalValues)	Sets the maximum number of distinct nominal values to allow.
void	RegressionPredictor.setPredictedFieldSuffix(String predictedFieldSuffix)	Set the suffix to be added to the target field name.
void	LinearRegressionLearner.setReferenceValues(Map<String,String> referenceValues)	Set reference values for the independent categorical variables.
void	LinearRegressionLearner.setSingularityThreshold(Double singularityThresholdValue)	Set singularityThreshold value against which a matrix is considered singular or non singular.

Uses of PropertyDescription in com.pervasive.datarush.analytics.stats

Methods in com.pervasive.datarush.analytics.stats with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	CountRanges.setBreaks(List breaks)	Sets the values that will be used as the boundaries for the ranges.
void	SummaryStatistics.setDetailLevel(DetailLevel detailLevel)	Sets the detail level that we use to compute statistics.
void	DistinctValues.setFewDistinctValuesHint(boolean fewDistinctValuesHint)	Sets a hint as to whether there are expected to be a small number of distinct values.
void	MostFrequentValues.setFewDistinctValuesHint(boolean fewDistinctValuesHint)	Sets a hint as to whether there are expected to be a small number of distinct values.
void	SummaryStatistics.setFewDistinctValuesHint(boolean fewDistinctValuesHint)	Sets a hint as to whether there are expected to be a small number of distinct values.
void	CountRanges.setFieldName(String fieldName)	Sets the name of the field which will be divided into ranges.
void	MostFrequentValues.setFieldNames(String... fields)	Sets the names of fields to which the operation is applied.
void	MostFrequentValues.setFieldNames(List<String> fields)	Sets the names of fields to which the operation is applied.
void	SummaryStatistics.setIncludedFields(List<String> includedFields)	Sets the fields from the input dataset for which we are collecting statistics.
void	NormalizeValues.setIncludeInputFields(boolean includeInputFields)	Set the indicator of whether or not to include the input fields in the output data.
void	DistinctValues.setInputField(String inputField)	Sets the input field for which we calculate distinct values
void	CountRanges.setLowerBoundClosed(boolean lowerBoundClosed)	Sets whether the lower boundary defined by a break should be included in the group.
void	NormalizeValues.setMethod(StatsFunctions.NormalizeMethod method)	Set the normalization method to use.
void	Rank.setMode(Rank.RankMode mode)	Set the ranking mode.
void	Rank.setOutputField(String outputField)	Set the name of the output field that will contain the ranking order for each record.
void	Rank.setPartitionBy(String... partitionKeys)	Set the fields used for partitioning the input data.
void	Rank.setPartitionBy(List<String> partitionKeys)	Set the fields used for partitioning the input data.
void	SummaryStatistics.setQuantilesToCalculate(List<BigDecimal> quantilesToCalculate)	Sets the quantiles to calculate for each numeric field.
void	SummaryStatistics.setRangeCount(int rangeCount)	Sets the number of intervalCounts to calculate for each numeric field.
void	Rank.setRankBy(SortKey... rankBy)	Set the list of fields to use for ranking.
void	Rank.setRankBy(String... rankBy)	Set the list of fields to use for ranking.
void	Rank.setRankBy(List<SortKey> rankBy)	Set the list of fields to use for ranking.
void	NormalizeValues.setScoreFields(String... scoreFields)	Set the names of the input fields to normalize.
void	NormalizeValues.setScoreFields(List<String> scoreFields)	Set the names of the input fields to normalize.
void	MostFrequentValues.setShowTopHowMany(int showTopHowMany)	Sets a cap on the number of value frequencies to calculate.
void	SummaryStatistics.setShowTopHowMany(int showTopHowMany)	Sets a cap on the number of valueCounts to calculate.
void	DistinctValues.setSortByCount(boolean sortByCount)	Sets whether to sort by value count.
void	DataQualityAnalyzer.setTests(List<DataQualityAnalyzer.QualityTest> tests)	Sets the set of tests to apply to the input dataset
void	CountRanges.setUpperBoundClosed(boolean upperBoundClosed)	Sets whether the upper boundary defined by a break should be included in the group.

Uses of PropertyDescription in com.pervasive.datarush.analytics.text

Methods in com.pervasive.datarush.analytics.text with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	ConvertTextCase.setCaseFormat(ConvertTextCase.Case caseFormat)	Set the case format for the conversions.
void	DictionaryFilter.setDictionaryField(String dictionaryField)	Set the dictionary field in the dictionary input.
void	ExpandTextFrequency.setFreqOutputField(String freqOutputField)	Set the output field to expand the frequency list into.
void	CalculateNGramFrequency.setInputField(String textField)	Set the field to calculate the n-gram frequencies for.
void	CalculateWordFrequency.setInputField(String textField)	Set the field to calculate the word frequencies for.
void	ConvertTextCase.setInputField(String inputField)	Set the field to convert to lower or upper case.
void	CountTokens.setInputField(String textField)	Set the field with tokens to count.
void	DictionaryFilter.setInputField(String textField)	Set the field to filter.
void	ExpandTextFrequency.setInputField(String inputField)	Set the frequency map field to expand.
void	ExpandTextTokens.setInputField(String textField)	Set the tokenized text field to expand.
void	FilterText.setInputField(String textField)	Set the field to filter.
void	GenerateBagOfWords.setInputField(String textField)	Set the field for which to generate the bag of words.
void	TextFrequencyFilter.setInputField(String inputField)	Set the frequency map field to filter.
void	TextStemmer.setInputField(String textField)	Set the field to stem.
void	TextTokenizer.setInputField(String textField)	Set the string field to tokenize.
void	TextFrequencyFilter.setMaxThreshold(int maxThreshold)	Set the maximum threshold for absolute frequencies when filtering.
void	TextFrequencyFilter.setMinThreshold(int minThreshold)	Set the minimum threshold for absolute frequencies when filtering.
void	CalculateNGramFrequency.setNgramFreqOutputField(String ngramFreqOutputField)	Set the field that will contain the n-gram frequency map.
void	ConvertTextCase.setOutputField(String outputField)	Set the converted output field.
void	CountTokens.setOutputField(String countField)	Set the output field for the counts.
void	DictionaryFilter.setOutputField(String tokenField)	Set the name of the filtered output field.
void	ExpandTextTokens.setOutputField(String tokenField)	Set the string output field.
void	FilterText.setOutputField(String tokenField)	Set the filtered output field
void	GenerateBagOfWords.setOutputField(String outputField)	Set the field that will contain the bag of words.
void	TextFrequencyFilter.setOutputField(String outputField)	Set the output field that will contain the filtered frequency map.
void	TextStemmer.setOutputField(String tokenField)	Set the stemmed output field.
void	TextTokenizer.setOutputField(String tokenField)	Set the tokenized output field.
void	ExpandTextFrequency.setRelative(boolean relative)	Set whether absolute or relative frequencies will be expanded.
void	FilterText.setTextFilters(TextFilter... textFilters)	Set the filters that will be used.
void	ExpandTextFrequency.setTextOutputField(String textOutputField)	Set the output field to expand the text list into.
void	CountTokens.setTokenType(TextElementType tokenType)	Set the type of token to count.
void	ExpandTextTokens.setTokenType(TextElementType tokenType)	Set the type of text token to expand.
void	TextFrequencyFilter.setTotalNumber(int totalNumber)	Set the total number of top frequencies to keep.
void	CalculateWordFrequency.setWordFreqOutputField(String wordFreqOutputField)	Set the field that will contain the word frequency map.
void	TextTokenizer.setWordPatterns(List<String> wordPatterns)	Set the list of custom word patterns that will be recognized.

Uses of PropertyDescription in com.pervasive.datarush.analytics.viz

Methods in com.pervasive.datarush.analytics.viz with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	DrawDiagnosticsChart.setChartNames(List<String> chartNames)	Sets the predictor names for each input port to be displayed as the chart legend (null entries for disconnected input ports).
void	DrawDiagnosticsChart.setChartType(ChartType chartType)	Sets the desired chart type (ROC, Gains, Lift).
void	DrawDiagnosticsChart.setConfidenceFieldNames(List<String> confidenceFieldNames)	Sets the confidence field names for each input port (null entries for disconnected ports).
void	DrawDiagnosticsChart.setOutputPath(String outputPath)	Sets the path of the .png output file (null means no output file will be generated).
void	DrawDiagnosticsChart.setResultSize(int resultSize)	Sets the number of results.
void	DrawDiagnosticsChart.setTargetFieldNames(List<String> targetFieldNames)	Sets the actual target field names for all input ports (null entries for disconnected ports).
void	DrawDiagnosticsChart.setTargetValue(String targetValue)	Sets the target value ("true class")

Uses of PropertyDescription in com.pervasive.datarush.hbase

Methods in com.pervasive.datarush.hbase with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	KeyValueOperator.setCellFieldMap(Map<String,Map<String,Map<String,String>>> cellFieldMap)	Set the HBase cell to field mapping.
void	DeleteHBase.setCellMarkerMap(Map<String,Map<String,DeleteHBase.DeleteMarker>> cellMarkerMap)
void	KeyOperator.setConfiguration(HadoopConfiguration configuration)	Set the configuration.
void	ReadHBase.setEndTime(Date endTime)	Set time range filter end time
void	KeyOperator.setFamilies(Set<String> families)	Set families.
void	KeyValueOperator.setFamilyFieldMap(Map<String,Map<String,String>> familyFieldMap)	Set the column family to field mapping.
void	DeleteHBase.setFamilyMarkerMap(Map<String,DeleteHBase.DeleteMarker> familyMarkerMap)
void	KeyOperator.setFilesystem(String filesystem)	Set default filesystem.
void	KeyOperator.setHiveMetastore(String metastore)	Set Hive metastore.
void	ReadHBase.setOmitHBaseScan(boolean omitHBaseScan)	Set omit HBase Scan state.
void	ReadHBase.setOmitHFileReader(boolean omitHFileReader)	Set omit HFile Reader state.
void	DeleteHBase.setOutputPath(String outputPath)	Set the output path.
void	WriteHBase.setOutputPath(String outputPath)	Set the output path.
void	KeyOperator.setQualifierFieldMap(LinkedHashMap<String,String> qualifierFieldMap)
void	KeyOperator.setRootDirectory(String directory)	Set HBase root directory.
void	KeyOperator.setRowFieldMap(LinkedHashMap<String,String> rowFieldMap)
void	ReadHBase.setStartTime(Date startTime)	Set time range filter start time
void	KeyOperator.setTableName(String tableName)	Set HBase table name.
void	KeyOperator.setTimeFieldName(String timeFieldName)	Set version timestamp field name.
void	ReadHBase.setVersionCount(long versionCount)	Set cell version count
void	KeyOperator.setZookeeperParentZNode(String znode)	Set Zookeeper parent znode.
void	KeyOperator.setZookeeperPort(String port)	Set Zookeeper client port.
void	KeyOperator.setZookeeperQuorum(String quorum)	Set Zookeeper quorum.

Uses of PropertyDescription in com.pervasive.datarush.matching

Methods in com.pervasive.datarush.matching with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	DiscoverDuplicates.setPhases(List<Phase> phases)
void	DiscoverLinks.setPhases(List<Phase> phases)

Uses of PropertyDescription in com.pervasive.datarush.matching.cluster

Methods in com.pervasive.datarush.matching.cluster with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	ClusterDuplicates.setDataIdField(String name)	Sets the name of the field uniquely identifying records in the original source.
void	ClusterLinks.setDataIdField(String name)	Sets the name of the field uniquely identifying records on the both sides of the pairs.
void	ClusterLinks.setLeftDataIdField(String name)	Sets the name of the field uniquely identifying records on the left hand side of the pairs.
void	ClusterLinks.setLeftFieldPattern(String pattern)	Sets the naming pattern used for fields from the left hand side record.
void	ClusterLinks.setRightDataIdField(String name)	Sets the name of the field uniquely identifying records on the right hand side of the pairs.
void	ClusterLinks.setRightFieldPattern(String pattern)	Sets the naming pattern used for fields from the right hand side record.

Uses of PropertyDescription in com.pervasive.datarush.operators.assertion

Methods in com.pervasive.datarush.operators.assertion with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	AssertMetadata.setDataDistribution(DataDistribution dataDistribution)	Set the DataDistribution to assert.
void	AssertMetadata.setDataOrdering(DataOrdering dataOrdering)	Set the DataOrdering metadata to assert.
void	AssertEqual.setErrorTolerance(FloatingPointTolerance errorTolerance)	Set the error tolerance for floating point values.
void	AssertEqualTypes.setExpectedType(RecordTokenType expectedType)	Set the expected type of the actual value input port.
void	AssertEqual.setLogFrequency(int logFrequency)	Set the logging frequency property.
void	AssertRowCount.setLogFrequency(int logFrequency)	Sets the frequency with which to log row count
void	AssertSorted.setLogFrequency(int logFrequency)	Sets the frequency with with to log.
void	AssertSorted.setOrdering(SortKey... ordering)	Set the expected ordering of the input keys.
void	AssertSorted.setOrdering(String... ordering)	Set the expected ordering of the input keys.
void	AssertPredicate.setPredicate(ScalarValuedFunction predicate)	Set the predicate function to assert.
void	AssertPredicate.setPredicate(String predicateExpression)	Sets the predicate(s) to use for assertion based on an expression similar to a where clause of a SQL query.
void	AssertRowCount.setRowCount(long rowCount)	Sets the expected number of rows

Uses of PropertyDescription in com.pervasive.datarush.operators.group

Methods in com.pervasive.datarush.operators.group with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	Group.setAggregations(Aggregation[] aggregations)	Sets the aggregations to apply to the data.
void	Group.setAggregations(String aggregationExpression)	Sets the aggregations to apply to the data.
void	Group.setFewGroupsHint(boolean fewGroupsHint)	Sets a hint as to whether the number of groups is expected to be small.
void	RemoveDuplicates.setGroupKeys(String[] groupKeys)	Sets the keys by which to de-duplicate.
void	Group.setInitialGroupCapacity(int initialGroupCapacity)	Sets a hint as to the number of groups that are expected to be processed.
void	Group.setKeyFieldPrefix(String keyFieldPrefix)	Sets the prefix to add to key fields.
void	Group.setKeys(String[] keys)	Sets the names of the key fields.
void	Group.setMaxGroupCapacity(int maxGroupCapacity)	Sets the max number of groups to fit into internal memory buffers.
void	RemoveDuplicates.setSortKeys(SortKey[] sortKeys)	Sets the additional keys by which to sort the data to determine which row to output in the event of a duplicate.

Uses of PropertyDescription in com.pervasive.datarush.operators.io

Methods in com.pervasive.datarush.operators.io with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	AbstractReader.setExtraFieldAction(ParseErrorAction action)	Sets how to handle fields found when parsing the record, but not declared in the schema.
void	AbstractReader.setFieldErrorAction(ParseErrorAction action)	Sets how to handle fields which cannot be parsed.
void	AbstractReader.setFieldLengthThreshold(int limit)	Configures the maximum length allowed for a field value before it is considered an error.
void	ReadSource.setFormat(DataFormat format)	Sets the data format for the configured source.
void	WriteSink.setFormat(DataFormat format)	Sets the data format for the configured target.
void	AbstractWriter.setFormatOptions(FormattingOptions options)	Sets the formatting options used by the reader.
void	WriteSink.setFormatOptions(FormattingOptions options)	Sets the formatting options used by the writer.
void	AbstractWriter.setIgnoreSortOrder(boolean ignoreSortOrder)	If set to true, the writer will write in any order.
void	AbstractReader.setIncludeSourceInfo(boolean enabled)	Controls whether parsed records will be tagged with additional fields indicating how to locate them in their original source.
void	ReadSource.setIncludeSourceInfo(boolean enabled)	Controls whether parsed records will be tagged with additional fields indicating how to locate them in their original source.
void	AbstractReader.setMissingFieldAction(ParseErrorAction action)	Sets how to handle fields declared in the schema, but not found when parsing the record.
void	AbstractWriter.setMode(WriteMode mode)	Sets how the writer should handle an existing target.
void	WriteSink.setMode(WriteMode mode)	Sets how the writer should handle an existing target.
void	AbstractReader.setParseErrorAction(ParseErrorAction action)	Sets how to handle all parsing errors.
void	AbstractReader.setParseOptions(ParsingOptions options)	Sets the parsing options used by the reader.
void	ReadSource.setParseOptions(ParsingOptions options)	Sets the parsing options used by the reader.
void	AbstractReader.setPessimisticSplitting(boolean enabled)	Configures whether pessimistic file splitting must be used.
void	ReadSource.setPessimisticSplitting(boolean enabled)	Configures whether pessimistic file splitting must be used.
void	AbstractReader.setReadBuffer(int size)	Sets the size of the I/O buffer, in bytes, to use for reads.
void	AbstractReader.setReadOnClient(boolean enabled)	Sets whether reads are performed by the client or in the cluster.
void	ReadSource.setReadOnClient(boolean enabled)	Sets whether reads are performed by the client or in the cluster.
void	AbstractReader.setRecordWarningThreshold(int limit)	Configures the maximum number of records which can have parse warnings before failing.
void	AbstractWriter.setSaveMetadata(boolean saveMetadata)	If set to true, the writer will attempt to save the metadata with the data if the implementation supports it.
void	AbstractReader.setSelectedFields(String... fields)	Sets the list of record fields to read.
void	AbstractReader.setSelectedFields(List<String> fields)	Sets the list of record fields to read.
void	AbstractReader.setSource(Path path)	Sets the data source to the specified path.
void	AbstractReader.setSource(ByteSource source)	Sets the data source to the specified source.
void	AbstractReader.setSource(String pattern)	Sets the data source to all paths matching the specified pattern.
void	ReadSource.setSource(ByteSource source)	Sets the data source for the reader.
void	AbstractReader.setSplitOptions(SplitOptions options)	Sets the configuration used in determining how to break the source into splits.
void	ReadSource.setSplitOptions(SplitOptions options)	Sets the split options used by the reader.
void	AbstractWriter.setTarget(Path path)	Sets the data sink for the writer.
void	AbstractWriter.setTarget(ByteSink sink)	Sets the data sink for the writer.
void	AbstractWriter.setTarget(String path)	Sets the data sink for the writer.
void	WriteSink.setTarget(ByteSink target)	Sets the target sink for the reader.
void	AbstractReader.setUseMetadata(boolean useMetadata)	Sets whether discovered metadata should be used to override the graph settings.
void	AbstractWriter.setWriteBuffer(int size)	Sets the size of the I/O buffer, in bytes, to use for writes.
void	AbstractWriter.setWriteOnClient(boolean enabled)	Set whether the writer should write a file on the client.
void	AbstractWriter.setWriteSingleSink(boolean enabled)	Set whether the writer should produce a single output file or multiple ones.
void	WriteSink.setWriteSingleSink(boolean enabled)	Set whether the writer should produce a single output file or multiple ones.

Uses of PropertyDescription in com.pervasive.datarush.operators.io.avro

Methods in com.pervasive.datarush.operators.io.avro with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	WriteAvro.setCompression(Compression codec)	Sets the compression method to use on data blocks.
void	WriteAvro.setSchema(org.apache.avro.Schema schema)	Sets the schema to use to encode the output.

Uses of PropertyDescription in com.pervasive.datarush.operators.io.binary

Methods in com.pervasive.datarush.operators.io.binary with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	BinaryWriter.setBinaryField(String binaryField)	Sets the name of the field containing the raw binary.
void	BinaryWriter.setFilenameField(String filenameField)	Sets the name of the field containing the output filenames to use when extracting the data.
void	BinaryWriter.setMultiple(boolean multiple)	Sets whether the data is written as a single file or multiple files.

Uses of PropertyDescription in com.pervasive.datarush.operators.io.jdbc

Methods in com.pervasive.datarush.operators.io.jdbc with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	AbstractWriteToJDBC.setCommitInterval(int commitInterval)	Sets the commit interval used by the JDBC driver.
void	JDBCOperator.setConnectionFactory(ConnectionFactory connectionFactory)	Sets the connection factory to be used for creating connections.
void	ReadFromJDBC.setDataQuery(String dataQuery)	Sets the SELECT statement to use to query data from the source database.
void	ReadFromJDBC.setDiscoverOutputAtRuntime(boolean discoverOutputAtRuntime)	Set whether the output type should be automatically discovered at runtime.
void	JDBCOperator.setDriverName(String driverName)	Sets the class name of the JDBC driver to use, for example: "sun.jdbc.odbc.JdbcOdbcDriver".
void	JDBCOperator.setErrorAction(ErrorAction errorAction)	Sets the action to take if a SQL error occurs while reading data from the database.
void	ReadFromJDBC.setFetchSize(int fetchSize)	Sets the number of rows in each fetch from the database.
void	AbstractWriteToJDBC.setFinalizeTableSQL(String finalizeTableSQL)	Sets the SQL statement to execute after processing all the records.
void	JDBCOperator.setHostNames(List<String> hostNames)	Set the list of database host names that can be used to execute queries.
void	AbstractWriteToJDBC.setInitializeTableSQL(String initializeTableSQL)	Sets the SQL statement to execute before processing any records.
void	AbstractWriteToJDBC.setIsolationLevel(int level)	Sets the isolation level to use for the transactions.
void	AbstractWriteToJDBC.setKeyNames(String[] keyNames)	Sets the field names (JDBC column names) to use as keys.
void	ReadFromJDBC.setOutputType(RecordTokenType outputType)	Set the record type of the output port of this operator.
void	ReadFromJDBC.setParameterQuery(String parameterQuery)	Set the database query used to gather parameters from the source database.
void	ReadFromJDBC.setParameters(Object[][] parameters)	Set the parameter values to use when the data query specified with ReadFromJDBC.setDataQuery(String) is parameterized.
void	JDBCOperator.setPassword(String password)	Sets the password for connecting to the database.
void	AbstractWriteToJDBC.setRenameMapping(Map<String,String> renameMapping)	Sets a rename mapping.
void	ReadFromJDBC.setSelectStatement(String selectStatement)	Deprecated. Use the ReadFromJDBC.setDataQuery(String) method instead.
void	JDBCOperator.setSqlWarningLimit(int sqlWarningLimit)	Set the maximum number of warnings regarding SQL errors that an operator can emit.
void	JDBCOperator.setTableName(String tableName)	Sets the name of the database table to access.
void	JDBCOperator.setUrl(String url)	Sets the URL for connecting to the database, for example: jdbc:odbc:SampleTest.
void	JDBCOperator.setUser(String user)	Sets the user name for connecting to the database.

Uses of PropertyDescription in com.pervasive.datarush.operators.io.mdf

Methods in com.pervasive.datarush.operators.io.mdf with annotations of type PropertyDescription

Modifier and Type	Method	Description
boolean	ReadMDF.getConvertRaw()	Get whether the raw values should have any associated conversion rules applied.
int	ReadMDF.getDataGroup()	Sets the data group to read.
long	ReadMDF.getRecordId()	Gets the record ids to read within the specified data channel.
ReadMDF.ExtractionMode	ReadMDF.getRunMode()	Gets the mode that decides what will be extracted from the MDF file.
MDFUtil.MDFVersion	ReadMDF.getVersion()	Sets the expected MDF version
void	ReadMDF.setConvertRaw(boolean convertRaw)	Set whether raw values should have any associated conversion rules applied.
void	ReadMDF.setDataGroup(int dataGroup)	Gets the data group to read.
void	ReadMDF.setRecordId(long recordId)	Sets the record ids to read within the specified data channel.
void	ReadMDF.setRunMode(ReadMDF.ExtractionMode runMode)	Sets the mode that will decide what will be extracted from the MDF file.
void	ReadMDF.setVersion(MDFUtil.MDFVersion version)	Get the expected MDF version

Uses of PropertyDescription in com.pervasive.datarush.operators.io.staging

Methods in com.pervasive.datarush.operators.io.staging with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	WriteStagingDataset.setBlockSize(int blockSize)	Sets the block size, in rows, used for encoding data.
void	WriteStagingDataset.setFormat(DatasetStorageFormat format)	Sets the data set format used to store data.

Uses of PropertyDescription in com.pervasive.datarush.operators.io.textfile

Methods in com.pervasive.datarush.operators.io.textfile with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	ReadJSON.setAllowBackslashEscapingAny(boolean allowBackslashEscapingAny)	Set if the parser will allow quoting of all characters using backslash quoting mechanism.
void	ReadJSON.setAllowComments(boolean allowComments)	Set whether the parser should allow comments or not.
void	ReadJSON.setAllowNonNumericNumbers(boolean allowNonNumericNumbers)	Set if the parser recognizes set of "Not a Number" (NaN) tokens as legal floating number values
void	ReadJSON.setAllowNumericLeadingZeros(boolean allowNumericLeadingZeros)	Sets whether the parser will allow numbers to start with additional zeroes.
void	ReadJSON.setAllowSingleQuotes(boolean allowSingleQuotes)	Set whether the parser will allow use of single quotes for quoting strings.
void	ReadJSON.setAllowUnquotedControlChars(boolean allowUnquotedControlChars)	Set if the parser will allow JSON strings to contain unquoted control characters (ASCII characters with value less than 32, including tab and line feed).
void	ReadJSON.setAllowUnquotedFieldNames(boolean allowUnquotedFieldNames)	Set whether the parser will allow use of unquoted field names.
void	ReadDelimitedText.setAnalysisDepth(int count)	Sets the number of characters to read for performing schema discovery and structural analysis.
void	ReadJSON.setAnalysisDepth(int count)	Sets the number of characters to read for performing schema discovery and structural analysis.
void	ReadDelimitedText.setAutoDiscoverNewline(boolean enabled)	Configures whether the reader attempts to discover the newline style (UNIX or DOS) used in the source.
void	AbstractTextReader.setCharset(Charset charset)	Sets the character set used by the data source.
void	AbstractTextWriter.setCharset(Charset charset)	Sets the character set used by the data sink.
void	AbstractTextReader.setCharsetName(String charsetName)	Sets the character set used by the data source.
void	AbstractTextWriter.setCharsetName(String charsetName)	Sets the character set used by the data sink.
void	WriteARFF.setComments(List<String> comments)	Set the comments lines to write to the ARFF meta-data section of the file.
void	AbstractTextReader.setDecodeBuffer(int size)	Sets the size of the buffer, in bytes, used to decode character data.
void	ReadDelimitedText.setDelimiters(FieldDelimiterSettings settings)	Sets the field delimiter settings for the reader.
void	WriteDelimitedText.setDelimiters(FieldDelimiterSettings settings)	Sets the field delimiter settings for the writer.
void	ReadDelimitedText.setDiscoveryNullIndicator(String value)	Sets the text value used to represent null values by default in discovered schemas.
void	ReadJSON.setDiscoveryNullIndicator(String value)	Sets the text value used to represent null values by default in discovered schemas.
void	ReadDelimitedText.setDiscoveryStringHandling(TextTypes.StringConversion behavior)	Sets the default behavior for processing string-valued types in discovered schemas.
void	ReadJSON.setDiscoveryStringHandling(TextTypes.StringConversion behavior)	Sets the default behavior for processing string-valued types in discovered schemas.
void	AbstractTextWriter.setEncodeBuffer(int size)	Sets the size of the buffer, in bytes, used to encode character data.
void	AbstractTextReader.setEncoding(CharsetEncoding settings)	Set the properties that control character set encoding.
void	AbstractTextWriter.setEncoding(CharsetEncoding settings)	Set the properties that control character set encoding.
void	AbstractTextReader.setErrorAction(CodingErrorAction errorAction)	Set the encoding error action.
void	AbstractTextWriter.setErrorAction(CodingErrorAction errorAction)	Set the encoding error action.
void	ReadARFF.setFieldDelimiter(char fieldDelimiter)	Set the field delimiter to use when reading the file contents.
void	ReadDelimitedText.setFieldDelimiter(String delimiter)	Sets the delimiter used to denote the boundaries of a data field.
void	WriteARFF.setFieldDelimiter(char delimiter)	Set the field delimiter to use when writing the file contents.
void	WriteDelimitedText.setFieldDelimiter(String delimiter)	Sets the delimiter used to denote the boundaries of a data field.
void	ReadDelimitedText.setFieldEndDelimiter(String delimiter)	Sets the delimiter used to denote the end of a data field.
void	WriteDelimitedText.setFieldEndDelimiter(String delimiter)	Sets the delimiter used to denote the end of a data field.
void	ReadDelimitedText.setFieldSeparator(String separator)	Sets the delimiter used to define the boundary between data fields.
void	WriteDelimitedText.setFieldSeparator(String separator)	Sets the delimiter used to define the boundary between data fields.
void	ReadDelimitedText.setFieldStartDelimiter(String delimiter)	Sets the delimiter used to denote the beginning of a data field.
void	WriteDelimitedText.setFieldStartDelimiter(String delimiter)	Sets the delimiter used to denote the beginning of a data field.
void	WriteARFF.setFormatMode(ARFFMode mode)	Set the mode with which to write the file.
void	ReadDelimitedText.setHeader(boolean header)	Configures whether to expect a header row in the source.
void	WriteDelimitedText.setHeader(boolean header)	Configures whether to write a header row in the target.
void	ReadDelimitedText.setHeaderSkipCount(int count)	Sets the number of lines to skip at the beginning of the file before reading.
void	ReadDelimitedText.setLineComment(String lineComment)	Sets the character sequence indicating a line comment.
void	ReadFixedText.setLineComment(String lineComment)	Set the text that represents that a line of input data is a comment.
void	WriteDelimitedText.setLineComment(String lineComment)	Sets the character sequence indicating a line comment.
void	ReadDelimitedText.setMaxRowLength(int maxRowLength)	Deprecated. Use ReadDelimitedText.setValidateRecordSeparator(boolean) in conjunction with ReadDelimitedText.setAnalysisDepth(int) instead.
void	ReadJSON.setMultilineFormat(boolean multilineFormat)	Sets whether or not the parser will allow JSON records to span multiple lines
void	WriteDelimitedText.setNullIndicator(String value)	Sets the text value used to represent null values by default in generated schemas.
void	ReadDelimitedText.setRecordSeparator(String separator)	Sets the value to use as a record separator.
void	ReadFixedText.setRecordSeparator(String separator)	Set the string that represents the separator between records in the input file.
void	WriteARFF.setRecordSeparator(String separator)	Set the record separator.
void	WriteDelimitedText.setRecordSeparator(String separator)	Sets the value to use as a record separator.
void	WriteFixedText.setRecordSeparator(String separator)	Set the record separator.
void	WriteARFF.setRelationName(String relationName)	Set the relation name attribute.
void	AbstractTextReader.setReplacement(String replacement)	Sets the error policy to be replacement with the specified string.
void	AbstractTextWriter.setReplacement(String replacement)	Sets the error policy to be replacement with the specified string.
void	ParseTextFields.setSchema(RecordTextSchema<?> schema)	Sets the record schema to use for parsing.
void	ReadDelimitedText.setSchema(RecordTextSchema<?> schema)	Sets the record schema expected in the delimited text source.
void	ReadFixedText.setSchema(FixedWidthTextRecord schema)	Set the schema of the input data to read.
void	ReadJSON.setSchema(RecordTextSchema<?> schema)	Sets the record schema expected in the JSON text source.
void	WriteARFF.setSchema(TextRecord schema)	Set the schema to use for the provided data.
void	WriteDelimitedText.setSchema(RecordTextSchema<?> schema)	Sets the record schema for the delimited text source.
void	WriteFixedText.setSchema(FixedWidthTextRecord schema)	Set the schema to use for formatting output records.
void	ReadDelimitedText.setSchemaDiscovery(TextRecordDiscoverer discoverer)	Sets the schema discoverer to use against the delimited text source.
void	ReadJSON.setSchemaDiscovery(TextRecordDiscoverer discoverer)	Sets the schema discoverer to use against the JSON text source.
void	WriteDelimitedText.setSchemaDiscovery(TextRecordDiscoverer discoverer)	Sets the schema discoverer to use for the delimited text.
void	ReadDelimitedText.setValidateRecordSeparator(boolean enabled)	Sets whether the configured record separator should be validated.

Uses of PropertyDescription in com.pervasive.datarush.operators.io.vectorwise

Methods in com.pervasive.datarush.operators.io.vectorwise with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	LoadActianVector.setCharset(String charsetName)	Set the character set used for data staging and loading for vwload load method.
void	LoadVectorOnHadoop.setCharset(String charsetName)	Deprecated. Set the character set used for data staging and loading for vwload load method.
void	LoadActianVector.setCleanData(boolean cleanData)	Enable or disable data cleaning.
void	LoadActianVector.setDatabase(String database)	Set the database name.
void	LoadVectorOnHadoop.setDatabase(String database)	Deprecated. Set the database name.
void	LoadActianVector.setDecimalTruncationError(boolean enableDecimalTruncationError)	Set whether errors on decimal truncation is enabled or disabled.
void	LoadActianVector.setFinalizeTableSQL(String finalizeTableSQL)	Sets the SQL statements to execute after processing all the records.
void	LoadVectorOnHadoop.setFinalizeTableSQL(String finalizeTableSQL)	Deprecated. Sets the SQL statement to execute after processing all the records.
void	LoadActianVector.setHost(String hostName)	Set the host name property.
void	LoadVectorOnHadoop.setHost(String hostName)	Deprecated. Set the host name property.
void	LoadActianVector.setInitializeTableSQL(String initializeTableSQL)	Sets the SQL statements to execute before processing any record(s).
void	LoadVectorOnHadoop.setInitializeTableSQL(String initializeTableSQL)	Deprecated. Sets the SQL statement to execute before processing any records.
void	LoadActianVector.setInsertMode(String insertMode)	Set insert mode statement that applies for Insert and Merge operation when Direct loading.
void	LoadActianVector.setInstance(String instance)	Set the Actian Vector instance name.
void	LoadVectorOnHadoop.setInstance(String instance)	Deprecated. Set the Vectorwise instance name.
void	LoadActianVector.setJdbcOnly(boolean jdbcOnly)	Set whether JDBC connections should be used instead of the command line when possible.
void	LoadActianVector.setJdbcUrl(String jdbcUrl)	Sets the jdbc connection url that should explicitly be used.
void	LoadActianVector.setMaxErrors(int maxErrors)	Set the maximum number of errors allowed per stream before rolling back the data load operation.
void	LoadVectorOnHadoop.setMaxErrors(int maxErrors)	Deprecated. Set the maximum number of errors allowed before rolling back the data load operation.
void	LoadActianVector.setMethod(LoadMethod method)	Set the load method to use.
void	LoadActianVector.setPassword(String password)	Set the user's password.
void	LoadVectorOnHadoop.setPassword(String password)	Deprecated. Set the user's password.
void	LoadActianVector.setPort(int port)	Set the Actian Vector instance port.
void	LoadActianVector.setRejectsPath(String rejectsPath)	Set the rejects path.
void	LoadActianVector.setRenameMapping(Map<String,String> renameMapping)	Set a rename mapping.
void	LoadVectorOnHadoop.setRenameMapping(Map<String,String> renameMapping)	Deprecated. Set a rename mapping.
void	LoadActianVector.setRollback(boolean enabled)	Enable or disable rollback processing.
void	LoadVectorOnHadoop.setRollback(boolean enabled)	Deprecated. Enable or disable rollback processing.
void	LoadActianVector.setSshPassword(String passwd)	Set the password for SSH user id.
void	LoadVectorOnHadoop.setSshPassword(String passwd)	Deprecated. Set the password for SSH user id
void	LoadActianVector.setSshUser(String user)	Set the OS User Id used for authenticating SSH connection to Master Node of Vector.
void	LoadVectorOnHadoop.setSshUser(String user)	Deprecated. Set the OS User Id used for authenticating SSH connection to Master Node of Vector on Hadoop
void	LoadActianVector.setStringTruncationError(boolean enableStringTruncationError)	Set whether errors on string truncation is enabled or disabled.
void	LoadActianVector.setTable(String table)	Set the name of the table to load.
void	LoadVectorOnHadoop.setTable(String table)	Deprecated. Set the name of the table to load.
void	LoadActianVector.setTmpDirectory(String tmpDirectory)	Set the temporary directory that is to be used for storing the intermediate loader files.
void	LoadVectorOnHadoop.setTmpDirectory(String tmpDirectory)	Deprecated. Set the temporary directory that is to be used for storing the intermediate loader files.
void	LoadActianVector.setUser(String userName)	Set the user name.
void	LoadVectorOnHadoop.setUser(String userName)	Deprecated. Set the user name.
void	LoadActianVector.setVectorSize(int vectorSize)	Set the size of the buffer (in rows) used to cache data before sending to the Vector engine.

Uses of PropertyDescription in com.pervasive.datarush.operators.io.vectorwise.dl

Methods in com.pervasive.datarush.operators.io.vectorwise.dl with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	LoadVectorOnHadoopDirect.setDatabase(String database)	Deprecated. Set the database name.
void	LoadVectorOnHadoopDirect.setFinalizeTableSQL(String finalizeTableSQL)	Deprecated. Sets the multiple SQL statements to execute after processing all the records.
void	LoadVectorOnHadoopDirect.setHost(String host)	Deprecated. Set the host name of the server where the leader node is running.
void	LoadVectorOnHadoopDirect.setInitializeTableSQL(String initializeTableSQL)	Deprecated. Sets the multiple SQL statements to execute before processing any record(s).
void	LoadVectorOnHadoopDirect.setInsertMode(String insertMode)	Deprecated. Set insert mode statement applies for Insert and Merge operation.
void	LoadVectorOnHadoopDirect.setInstance(String instance)	Deprecated. Set the Vector instance name.
void	LoadVectorOnHadoopDirect.setMaxErrors(int maxErrors)	Deprecated. Set the maximum number of errors allowed per stream before rolling back the data load operation.
void	LoadVectorOnHadoopDirect.setPassword(String password)	Deprecated. Set user's password.
void	LoadVectorOnHadoopDirect.setRenameMapping(Map<String,String> renameMapping)	Deprecated. Set a rename mapping.
void	LoadVectorOnHadoopDirect.setRollback(boolean enabled)	Deprecated. Enable or disable rollback processing.
void	LoadVectorOnHadoopDirect.setTable(String table)	Deprecated. Set the name of the table to load.
void	LoadVectorOnHadoopDirect.setUser(String user)	Deprecated. Set the user account name.
void	LoadVectorOnHadoopDirect.setVectorSize(int vectorSize)	Deprecated. Set the size of the buffer (in rows) used to cache data before sending to the Vector engine.

Uses of PropertyDescription in com.pervasive.datarush.operators.join

Methods in com.pervasive.datarush.operators.join with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	CrossJoin.setBufferRows(int rows)	Sets the size (in rows) of the memory buffer used to generate output record.
void	UnionAll.setIncludeExtraFields(boolean includeExtraFields)	Set to true if the generated schema should include unmapped field from either side.
void	AbstractRelationalJoin.setJoinCondition(ScalarValuedFunction joinCondition)	Sets the join condition.
void	AbstractRelationalJoin.setJoinCondition(String joinCondition)	Sets the join condition.
void	AbstractRelationalJoin.setJoinKeys(JoinKey[] joinKeys)	Sets the join keys to use when performing the join.
void	AbstractRelationalJoin.setJoinKeys(String[] keyFieldNames)	Sets the join keys to use when performing the join.
void	Join.setJoinMode(JoinMode joinMode)	Sets the join mode to use when performing a join.
void	SemiJoin.setJoinMode(SemiJoinMode joinMode)	Deprecated. Sets the join mode to use when performing a join.
void	Join.setMergeLeftAndRightKeys(boolean mergeLeftAndRightKeys)	Sets whether to merge the left and right key fields into a single field for output.
void	UnionAll.setOutputMapping(UnionAll.UnionMode outputMapping)	Set how the output type should be determined.
void	UnionAll.setSchema(RecordTextSchema<?> schema)	Sets the optional target output schema.
void	AbstractRelationalJoin.setUseHashJoinHint(boolean useHashJoinHint)	Sets whether to perform the join as a hash join.

Uses of PropertyDescription in com.pervasive.datarush.operators.model

Methods in com.pervasive.datarush.operators.model with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	GetModel.setMergeHandler(ModelMergeHandler<T> mergeHandler)	Sets the merge handler to be used to merge model fragments into a single model.
void	PutModel.setModel(T model)	Sets the model to be injected
void	GetModel.setModelReference(Reference<T> reference)	For advanced use only; specifies a reference location where the model is to be set.
void	PutModel.setModelReference(Reference<T> reference)	For advanced use only; sets the reference location where the model is to be obtained.

Uses of PropertyDescription in com.pervasive.datarush.operators.partition

Methods in com.pervasive.datarush.operators.partition with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	GatherHint.setDataOrdering(DataOrdering dataOrdering)	Sets the data ordering of the output.
void	PartitionHint.setDataOrdering(DataOrdering dataOrdering)	Sets the data ordering of the output.
void	GatherHint.setForceStaging(boolean forceStaging)	Sets whether data must be staged to disk.
void	PartitionHint.setForceStaging(boolean forceStaging)	Sets whether data must be staged to disk.
void	PartitionHint.setPartitioning(DataDistribution partitioning)	Sets the data distribution of the output.
void	PartitionHint.setPreserveSortOrder(boolean preserveSortOrder)	Sets whether data order will be preserved ( provided that the data order is known ).

Uses of PropertyDescription in com.pervasive.datarush.operators.record

Methods in com.pervasive.datarush.operators.record with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	RowsToColumns.setAggregations(Aggregation... aggregations)	Set the aggregation(s) to apply to each pivot grouping.
void	RowsToColumns.setAggregations(String aggregationExpression)	Set the aggregation(s) to apply to each pivot grouping using an aggregation expression.
void	RowsToColumns.setAggregations(List<Aggregation> aggregations)	Set the aggregation(s) to apply to each pivot grouping.
void	DeriveFields.setDerivedFields(FieldDerivation... derivations)	Set the list of field derivations to apply.
void	DeriveFields.setDerivedFields(String derivationExpression)	Set the list of field derivations to apply, using a field derivation expression.
void	DeriveFields.setDerivedFields(List<FieldDerivation> derivations)	Set the list of field derivations to apply.
void	DeriveFields.setDropUnderivedFields(boolean dropUnderived)	Set whether input fields are dropped from the output.
void	FilterFields.setFieldNames(String... fields)	Sets the names of fields to which the filtering operation is applied.
void	FilterFields.setFieldNames(List<String> fields)	Sets the names of fields to which the filtering operation is applied.
void	RemapFields.setFieldRemapping(FieldRemapping remapping)	Defines how input fields are to be mapped to output fields.
void	RowsToColumns.setGroupKeys(String... groupKeys)	Set the list of fields used to segment the input data into groups for pivoting.
void	RowsToColumns.setGroupKeys(List<String> groupKeys)	Set the list of fields used to segment the input data into groups for pivoting.
void	RowsToColumns.setPivotColumnPattern(String pattern)	Sets the naming pattern used for new pivot columns.
void	RowsToColumns.setPivotKey(String pivotKey)	Set the name of the field used as the pivot key.
void	RowsToColumns.setPivotKeyValues(String... pivotValues)	Set the list of distinct pivot key values.
void	RowsToColumns.setPivotKeyValues(List<String> pivotValues)	Set the list of distinct pivot key values.

Uses of PropertyDescription in com.pervasive.datarush.operators.scripting

Methods in com.pervasive.datarush.operators.scripting with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	RunScript.setAfterLastRecordScript(String script)	Set the script to use for clean up processing.
void	RunScript.setBeforeFirstRecordScript(String script)	Set the script to use for initialization processing.
void	RunScript.setEngineName(String engineName)	Set the name of the script engine to use.
void	RunScript.setEngineVersion(String engineVersion)	Set the version of the script engine to use.
void	RunScript.setLanguageName(String languageName)	Set the name of the scripting language to use.
void	RunScript.setLanguageVersion(String languageVersion)	Set the version of the script language to use.
void	RunScript.setOnEveryRecordScript(String script)	Set the script to use for processing every input record.
void	RunScript.setOutputType(RecordTokenType outputType)	Set the output type.
void	RunScript.setStderrFileName(String stderrFileName)	Set the pathname of the file that will capture the standard error output of the script execution environment.
void	RunScript.setStdoutFileName(String stdoutFileName)	Set the pathname of the file that will capture the standard output of the script execution environment.
void	RunScript.setVariables(Map<String,Object> variables)	Set the collection of variables to be incorporated into the script environment before executing any of the given script source.

Uses of PropertyDescription in com.pervasive.datarush.operators.select

Methods in com.pervasive.datarush.operators.select with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	LimitRows.setCount(long count)	Sets the maximum number of records which will be output.
void	SampleRandomRows.setMode(SampleMode mode)	Set the sample mode.
void	SampleRandomRows.setPercent(double percent)	Set the percentage of input data wanted.
void	FilterRows.setPredicate(ScalarValuedFunction p)	Sets the predicate for the filter operation.
void	FilterRows.setPredicate(String predicateExpression)	Sets the predicate(s) to use for filtering based on an expression similar to a where clause of a SQL query.
void	SampleRandomRows.setSampleSize(long sampleSize)	Set the wanted sample size in rows.
void	SampleRandomRows.setSeed(Long seed)	Set the random number generator seed value.
void	LimitRows.setSkip(long skip)	Sets the number of input records to skip before outputting records.

Uses of PropertyDescription in com.pervasive.datarush.operators.sink

Methods in com.pervasive.datarush.operators.sink with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	LogRows.setFormat(String format)	Set the format to use when logging rows.
void	CollectRecords.setInitialBufferSize(int size)	Sets the initial size, in tokens, to use for the list collecting input data.
void	LogRows.setLogFrequency(int logFrequency)	Set the frequency of rows to log.

Uses of PropertyDescription in com.pervasive.datarush.operators.sort

Methods in com.pervasive.datarush.operators.sort with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	Sort.setIOBuffer(String sizeSpecifier)	Sets the size of the memory buffers used to for I/O operations on run files during sorting.
void	Sort.setIOBufferSize(long size)	sets the buffer size, in bytes, used for I/O operations on run files.
void	Sort.setMaxMerge(int maxMerge)	Sets the maximum number of run files to merge at one time.
void	Sort.setSortBuffer(String sizeSpecifier)	Sets an approximate cap on the amount of memory used by the sort.
void	Sort.setSortBufferSize(long size)	Sets the size of the memory usage target, in bytes, for a sort.
void	Sort.setSortKeys(SortKey... keys)	Sets the list of sort keys by which we are to sort.
void	Sort.setSortKeys(String... keys)	Sets the list of sort keys by which we are to sort.
void	Sort.setSortKeys(List<SortKey> keys)	Sets the list of sort keys by which we are to sort.

Uses of PropertyDescription in com.pervasive.datarush.operators.source

Methods in com.pervasive.datarush.operators.source with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	GenerateConstant.setConstant(RecordToken constant)	Sets the value to generate
void	EmitRecords.setInput(RecordTokenList data)	Sets the list of records which will be produced.
void	GenerateRandom.setNullProbability(double nullProbability)	Sets the probability any given generated token will be null valued.
void	GenerateArithmeticSequence.setOutputType(RecordTokenType outputType)	Sets the output type.
void	GenerateRandom.setOutputType(RecordTokenType outputType)	Sets the data type of the generated values
void	GenerateArithmeticSequence.setRowCount(long rowCount)	Sets the number of rows to output.
void	GenerateConstant.setRowCount(long rowCount)	Sets the number of values to generate
void	GenerateRandom.setRowCount(long rowCount)	Sets the number of values to generate
void	GenerateRepeatingCycle.setRowCount(long rowCount)	Sets the number of values to generate
void	GenerateRandom.setSeed(long seed)	Sets the seed for the random number generator.
void	GenerateArithmeticSequence.setStartValue(BigDecimal startValue)	Sets the value of the first token in the sequence.
void	GenerateArithmeticSequence.setStepSize(BigDecimal stepSize)	Sets the difference between consecutive tokens in the generated sequence.

Uses of PropertyDescription in com.pervasive.datarush.operators.string

Methods in com.pervasive.datarush.operators.string with annotations of type PropertyDescription

Modifier and Type	Method	Description
Map<Integer,String>	SplitField.getResultMapping()	Get the mapping of split indices to output field names.
void	SplitField.setSplitField(String splitField)	Set the string field to be split.
void	SplitField.setSplitPattern(String splitPattern)	Set the splitting pattern.

Uses of PropertyDescription in com.pervasive.datarush.script.operators.group

Methods in com.pervasive.datarush.script.operators.group with annotations of type PropertyDescription

Modifier and Type	Method	Description
void	ProcessByGroup.setContextVariableName(String contextVariableName)	Set the name of the RushScript variable containing the current context.
void	ProcessByGroup.setFunctionName(String functionName)	Sets the name of a JavaScript function to invoke after evaluating all source files.
void	ProcessByGroup.setKeys(List<String> keys)	Set the names of the key fields used to partition and sort the input data set.
void	ProcessByGroup.setScript(String script)	Set the text of the RushScript that will be used to compose the subgraphs run per data grouping.
void	ProcessByGroup.setScriptFileName(String scriptFileName)	Set the name of the file containing the script used to compose the application executed per key group.
void	ProcessByGroup.setSubParallelism(int value)	Set the parallelism level wanted for the sub-graphs spawned by this operator.
void	ProcessByGroup.setVariables(Map<String,Object> variables)	Provides the JavaScript variables to set within the RushScript environment before composing applications for each group of the input data.