Uses of Annotation Interface
com.pervasive.datarush.annotations.OperatorDescription

Packages that use OperatorDescription

Package	Description
com.actian.dataflow.operators.io.orc
com.actian.dataflow.operators.io.parquet
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.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.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.svm.learner	Provides an implementation of an SVM learner.
com.pervasive.datarush.analytics.svm.predictor	Provides an implementation of an SVM predictor.
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.graph
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.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.

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

Classes in com.actian.dataflow.operators.io.orc with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	ReadORC
class	WriteORC	Write data in the Apache Hive ORC format.

Uses of OperatorDescription in com.actian.dataflow.operators.io.parquet

Classes in com.actian.dataflow.operators.io.parquet with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	ReadParquet	Reads data previously written using Apache Parquet format by Apache Hive.

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

Classes in com.pervasive.datarush.analytics.arm with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	ConvertARMModel	An operator that converts an association model in PMML into a target format.
class	FrequentItems	Compute the frequent items within the given transactions.

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

Classes in com.pervasive.datarush.analytics.arm.fpgrowth with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	FPGrowth	An operator that implements the FP-growth algorithm, outputting a PMML model containing generated items sets and association rules.

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

Classes in com.pervasive.datarush.analytics.cleansing with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	ReplaceMissingValues	Replace missing values in the input data according to the given replacement specifications.

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

Classes in com.pervasive.datarush.analytics.cluster.kmeans with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	KMeans	Computes clustering model for the given input based on the k-Means algorithm.

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

Classes in com.pervasive.datarush.analytics.decisiontree.learner with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	DecisionTreeLearner	Operator responsible for constructing a Decision Tree.

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

Classes in com.pervasive.datarush.analytics.decisiontree.predictor with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	DecisionTreePredictor	Operator responsible for predicting outcomes based on a Decision Tree PMML model.

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

Classes in com.pervasive.datarush.analytics.decisiontree.pruner with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	DecisionTreePruner	Performs pruning of the provided input model.

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

Classes in com.pervasive.datarush.analytics.knn with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	KNNClassifier	Applies the K-nearest neighbor algorithm to classify input data against an already classified set of example data.

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

Classes in com.pervasive.datarush.analytics.naivebayes.learner with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	NaiveBayesLearner	Operator responsible for building a Naive Bayes PMML model from input data.

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

Classes in com.pervasive.datarush.analytics.naivebayes.predictor with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	NaiveBayesPredictor	Operator responsible for predicting outcomes based on a Naive Bayes PMML model.

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

Classes in com.pervasive.datarush.analytics.r with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	RunRScript	Execute an R script in flow.

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

Classes in com.pervasive.datarush.analytics.regression with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	LinearRegressionLearner	Performs a multivariate linear regression on the given training data.
final class	SumOfSquares	Compute the sum of squares for the given fields of the input data.

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

Classes in com.pervasive.datarush.analytics.stats with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	CountRanges	Determines which range each value in a field falls within and counts the totals.
final class	DataQualityAnalyzer	Evaluates a set of quality tests on an input dataset.
final class	DistinctValues	Calculates distinct values of the given input field.
class	EqualRangeBinning	The EqualRangeBinning operator can be used to divide a set of numeric data into equal range bins.
class	MostFrequentValues	Compute the most frequent values within the given fields.
final class	NormalizeValues	Apply normalization methods to fields within an input data flow.
class	Rank	Rank data using the given rank mode.
final class	SummaryStatistics	Discovers various metrics of an input dataset, based on the configured detail level.

Uses of OperatorDescription in com.pervasive.datarush.analytics.svm.learner

Classes in com.pervasive.datarush.analytics.svm.learner with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	SVMLearner	Builds a PMMLSupportVectorMachineModel from an input dataset.

Uses of OperatorDescription in com.pervasive.datarush.analytics.svm.predictor

Classes in com.pervasive.datarush.analytics.svm.predictor with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	SVMPredictor	Operator responsible for classification based on a SVM PMML model.

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

Classes in com.pervasive.datarush.analytics.text with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	CalculateNGramFrequency	Calculates the n-gram frequencies for a tokenized text field.
class	CalculateWordFrequency	Calculates the word frequencies for a tokenized text field.
class	ConvertTextCase	Converts the case on a TokenizedText field.
class	CountTokens	Counts the number of tokens in a tokenized text field.
class	DictionaryFilter	Filters a tokenized text field using a dictionary.
class	ExpandTextFrequency	Expands text frequency field.
class	ExpandTextTokens	Expands a TokenizedText field.
class	FilterText	Filters a tokenized text field.
class	GenerateBagOfWords	Calculates the bag of words for a tokenized text field.
class	TextFrequencyFilter	Filters a frequency map field.
class	TextStemmer	Stems a TokenizedText field.
class	TextTokenizer	Tokenizes a string field as a TokenizedText object.

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

Classes in com.pervasive.datarush.analytics.viz with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	DrawDiagnosticsChart	This operator takes the output of one or multiple predictors and uses the confidence values produced by these predictors along with the actual target values ("true class") to produce diagnostic charts.

Uses of OperatorDescription in com.pervasive.datarush.hbase

Classes in com.pervasive.datarush.hbase with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	DeleteHBase	Write delete markers to HBase
class	ReadHBase	Read a result set from HBase.
class	WriteHBase	Write a result set to HBase.

Uses of OperatorDescription in com.pervasive.datarush.matching

Classes in com.pervasive.datarush.matching with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	DiscoverDuplicates	Discover duplicate records within a single source using fuzzy matching operators.
class	DiscoverLinks	Use fuzzy matching operators to discover linked records from two data sources.

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

Classes in com.pervasive.datarush.matching.cluster with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	ClusterDuplicates	Transform record pairs into clusters of like records, where the two sides of the pair are from the same source.
class	ClusterLinks	Transform record pairs into clusters of like records.

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

Classes in com.pervasive.datarush.operators.assertion with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	AssertEqual	Verifies that actual rows are equal to expected rows.
class	AssertEqualHash	Verifies that actual rows are equal to expected rows without regard to order.
class	AssertEqualTypes	Asserts that two input flows have identical types.
class	AssertMetadata	Assert that the metadata on the input port is set correctly.
class	AssertPredicate	Assert that the given predicate is true for all input values.
class	AssertRowCount	Verifies that the input flow contains the specified row count.
final class	AssertSorted	Verifies that the input data is sorted by the given set of keys.

Uses of OperatorDescription in com.pervasive.datarush.operators.graph

Classes in com.pervasive.datarush.operators.graph with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	MockableExternalRecordSink	A mockable sink that can be utilized with the SubJobExecutor to pass data back to the launcher.
class	MockableExternalRecordSource	A mockable source that can be utilized with the SubJobExecutor to insert parameter data.
class	SubJobExecutor	The SubJobExecutor operator can be used to execute JSON serialized subgraphs within the current workflow.

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

Classes in com.pervasive.datarush.operators.group with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	Group	Performs grouping (aggregation) of sorted input data.
class	RemoveDuplicates	Removes duplicate rows based on a specified set of group keys.

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

Classes in com.pervasive.datarush.operators.io with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	ReadSource	Reads a data source as a stream of records.
final class	WriteSink	Writes a stream of records to a data sink.

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

Classes in com.pervasive.datarush.operators.io.avro with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	ReadAvro	Reads data previously written using Apache Avro format.
class	WriteAvro	Writes data using Apache Avro format.

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

Classes in com.pervasive.datarush.operators.io.binary with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	BinaryWriter	Writes raw binary data to a filesystem.

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

Classes in com.pervasive.datarush.operators.io.jdbc with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	DeleteFromJDBC	This operator deletes data in the target table in a database by applying SQL delete statements.
class	ReadFromJDBC	The ReadFromJDBC operator is used to access relational database systems using a supplied JDBC driver.
final class	UpdateInJDBC	This operator updates the target table in a database by applying SQL update statements.
final class	WriteToJDBC	In its simplest form, writes records from an input port to a JDBC target table using insert statements.

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

Classes in com.pervasive.datarush.operators.io.mdf with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	ReadMDF	Reads data previously written using MDF format.

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

Classes in com.pervasive.datarush.operators.io.staging with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	ForceRecordStaging	Forces staging of record ports.
class	ReadStagingDataset	Reads a sequence of records previously staged to disk.
final class	WriteStagingDataset	Writes a sequence of records to disk in an internal format for staged data.

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

Classes in com.pervasive.datarush.operators.io.textfile with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	ParseTextFields	Parses input text records according to a specified text schema.
class	ReadARFF	Read files in the Attribute-Relation File Format (ARFF).
final class	ReadDelimitedText	Reads a text file of delimited records as record tokens.
class	ReadFixedText	Reads a text file of fixed-width records as record tokens.
class	ReadJSON	The ReadJSON operator reads a JSON file of key-value pairs or array of objects as record tokens.
class	ReadLog	Reads a log file as record tokens.
class	WriteARFF	Write files using the Attribute-Relation File Format (ARFF).
final class	WriteDelimitedText	Writes a stream of records as delimited text.
class	WriteFixedText	Writes a record dataflow as a text file of fixed-width records.

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

Classes in com.pervasive.datarush.operators.io.vectorwise with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	LoadActianVector	Bulk load data into the Actian Vector database.
class	ReadActianVector	Bulk read data from the Actian Vector database.

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

Classes in com.pervasive.datarush.operators.join with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	CrossJoin	Produce the cartesian product of two sets of records.
final class	FilterExistingRows	Filters records on the left based on the presence of matching records on the right.
final class	Join	Performs a relational equi-join on two input datasets by a specified set of keys.
final class	SemiJoin	Deprecated. this operator has been replaced with FilterExistingRows; use that operator instead, linking to the appropriate output port.

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

Classes in com.pervasive.datarush.operators.model with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	GetModel<T>	Provides a way to update an in-memory reference to a model object.
class	PutModel<T>	Provides a way to inject an in-memory reference to a model object into a graph.

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

Classes in com.pervasive.datarush.operators.partition with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	GatherHint	Forces parallel streams of data to be gathered into a single non-parallel stream.
final class	PartitionHint	Forces the input data to be partitioned into parallel streams of data for subsequent parallel operations.

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

Classes in com.pervasive.datarush.operators.record with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	ColumnsToRows	Normalize records by transposing values from row columns into multiple rows.
final class	DeriveFields	Applies one or more functions to the input record data.
class	MergeFields	Merges two streams of data with an equivalent number of rows into one.
class	RemapFields	Rearranges and renames fields in a record.
class	RemoveFields	Removes a subset of fields from the input records.
class	RetainFields	Preserves a subset of fields from the input records.
class	RowsToColumns	The RowsToColumns operator is used to pivot data from a narrow representation (rows) into a wider representation (columns).
class	SelectFields	Preserves a subset of fields from the input records.

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

Classes in com.pervasive.datarush.operators.scripting with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	RunScript	Processes rows using user-defined scripts.

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

Classes in com.pervasive.datarush.operators.select with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	FilterRows	Filters records based on a specified predicate.
class	LimitRows	Truncates a flow to a fixed number of records.
class	SampleRandomRows	Apply random sampling to the input data.

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

Classes in com.pervasive.datarush.operators.sink with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	CollectRecords	Collects input data into an in-memory token list.
final class	LogRows	Log information about the input data from a flow.

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

Classes in com.pervasive.datarush.operators.sort with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	Sort	Sorts the input data.

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

Classes in com.pervasive.datarush.operators.source with annotations of type OperatorDescription

Modifier and Type	Class	Description
final class	EmitRecords	Emits an in-memory token list as output.
final class	GenerateArithmeticSequence	Generates a sequence of numerical values, with a constant difference between consecutive values.
final class	GenerateConstant	Generates copies of a constant value.
final class	GenerateRandom	Generates rows of random data.

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

Classes in com.pervasive.datarush.operators.string with annotations of type OperatorDescription

Modifier and Type	Class	Description
class	SplitField	Splits a string field into multiple fields, based on a specified pattern.