Uses of Class
com.pervasive.datarush.operators.AbstractLogicalOperator

Packages that use AbstractLogicalOperator

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	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.svm.predictor	Provides an implementation of an SVM predictor.
com.pervasive.datarush.analytics.text	Provides various unstructured text processing operators.
com.pervasive.datarush.analytics.util	Provides some (internal) utility classes for Analytics.
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.block	Provides operators for generating possible candidate pairs.
com.pervasive.datarush.matching.cluster	Provides operators for clustering the results of duplicate or linkage discovery.
com.pervasive.datarush.matching.tune	Provides operators for analyzing data for approximate matching.
com.pervasive.datarush.operators	Provides classes and interfaces for developing dataflow operators.
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.operators.testutils
com.pervasive.datarush.ports.record	Provides implementations of port objects related to the flow of record sets between operators.
com.pervasive.datarush.script.operators.group

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

Subclasses of AbstractLogicalOperator in com.actian.dataflow.operators.io.orc

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

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

Subclasses of AbstractLogicalOperator in com.actian.dataflow.operators.io.parquet

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.arm

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 AbstractLogicalOperator in com.pervasive.datarush.analytics.arm.fpgrowth

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.arm.fpgrowth

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 AbstractLogicalOperator in com.pervasive.datarush.analytics.cleansing

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.cleansing

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.cluster

Modifier and Type	Class	Description
class	ClusterPredictor	Assigns input data to clusters based on the provided PMML Clustering Model.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.cluster.kmeans

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.decisiontree.learner

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.decisiontree.predictor

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.decisiontree.pruner

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.knn

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.naivebayes.learner

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.naivebayes.predictor

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.pmml

Modifier and Type	Class	Description
class	GetPMML	Specialization of GetModel for PMMLPort's.
class	PutPMML	Specialization of PutModel for PMMLPort's.
class	ReadPMML	Reads a PMML model object from a file.
class	WritePMML	Write a PMML object representation to a file at the given path.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.r

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.regression

Modifier and Type	Class	Description
class	LinearRegressionLearner	Performs a multivariate linear regression on the given training data.
class	LogisticRegressionLearner	Fits a multinomial logistic regression model to the training data.
class	LogisticRegressionPredictor
class	RegressionPredictor	Apply a regression model to the input data.
class	SumOfSquares	Compute the sum of squares for the given fields of the input data.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.stats

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.svm.predictor

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.text

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 AbstractLogicalOperator in com.pervasive.datarush.analytics.util

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.util

Modifier and Type	Class	Description
class	AbstractPredictor	Common base class for "predictor" processes.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.analytics.viz

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 AbstractLogicalOperator in com.pervasive.datarush.hbase

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.hbase

Modifier and Type	Class	Description
class	DeleteHBase	Write delete markers to HBase
class	KeyOperator	Specifies key field mapping when accessing HBase.
class	KeyValueOperator	Specifies data field mapping when accessing HBase.
class	ReadHBase	Read a result set from HBase.
class	WriteHBase	Write a result set to HBase.

Uses of AbstractLogicalOperator in com.pervasive.datarush.matching

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.matching

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 AbstractLogicalOperator in com.pervasive.datarush.matching.block

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.matching.block

Modifier and Type	Class	Description
class	BlockCartesian	Block the input data by creating a cartesian product of the data.
class	BlockRecords	Block records into groups of like records based on a set of key fields and generate record pairs from these groups.
class	BlockSelf	Block records from a single source into groups of like records based on a set of key fields and generate record pairs from these groups.
class	GroupPairsSortedRows	Finds key groupings within the input key fields and, for each key group, generates all pairwise combinations of distinct rows in that group.
class	LargeGroupDetector	An operator that issues warnings if a dataflow contains an unusually large number of distinct key values.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.matching.cluster

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 AbstractLogicalOperator in com.pervasive.datarush.matching.tune

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.matching.tune

Modifier and Type	Class	Description
class	AnalyzeDuplicateKeys	Provides an analysis of the quality of a set of blocking keys over data to be deduplicated.
class	AnalyzeLinkKeys	Provides an analysis of the quality of a set of blocking keys over two data sets to be linked.

Uses of AbstractLogicalOperator in com.pervasive.datarush.operators

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators

Modifier and Type	Class	Description
class	AbstractDeferredRecordOperator	Convenient base class for DeferredCompositeOperator's that are also RecordPipelineOperator's.
class	AbstractExecutableRecordPipeline	A base class for simple record-to-record operators, providing common functions.
class	AbstractRecordCompositeOperator	Convenient base class for CompositeOperator's that are also RecordPipelineOperator's.
class	CompositeOperator	To be implemented by operators that can be defined by chaining together other operations.
class	DeferredCompositeOperator	For rare use cases; implementors should use CompositeOperator whenever possible!
class	ExecutableOperator	ExecutableOperators are the most commonly used operators.
class	IterativeOperator	To be implemented by operations that must make multiple passes over the input data.
class	OpenComposite	A composite operator that can be externally composed.
class	OpenModelSink<T>	A model sink that can be externally composed.
class	OpenModelSource<T>	A model source that can be externally composed.
class	OpenMultiModelSink<T>	A model sink that can be externally composed.
class	OpenMultiModelSource<T>	A model source that can be externally composed.
class	OpenMultiRecordSink	A record sink that can be externally composed.
class	OpenMultiRecordSource	A record source that can be externally composed.
class	OpenRecordSink	A record sink that can be externally composed.
class	OpenRecordSource	A record source that can be externally composed.
class	StreamingOperator	Base class for LogicalOperators that are a potentially streaming operation.

Methods in com.pervasive.datarush.operators that return AbstractLogicalOperator

Modifier and Type	Method	Description
AbstractLogicalOperator	OperatorProxies.OperatorProxy.getTarget()	Public only as a matter of implementation; not intended for external use

Methods in com.pervasive.datarush.operators with parameters of type AbstractLogicalOperator

Modifier and Type	Method	Description
static OperatorProxies.OperatorProxy	OperatorProxies.proxy(AbstractLogicalOperator op)	Public only as a matter of implementation; not intended for external use Creates a proxy to the given operator that allows the framework to access its protected methods.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.assertion

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	AssertEqualRecordType	Assert that the given type and the type of the input port are equal.
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.
class	AssertSorted	Verifies that the input data is sorted by the given set of keys.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.group

Modifier and Type	Class	Description
class	Group	Performs grouping (aggregation) of sorted input data.
class	RemoveDuplicates	Removes duplicate rows based on a specified set of group keys.
class	SortedGroupHandler	Common base class for all processes that need to detect group boundaries

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.io

Modifier and Type	Class	Description
class	AbstractReader	A generic reader of byte data representing a stream of records.
class	AbstractWriter	A generic writer of byte data representing a stream of records.
class	ReadSource	Reads a data source as a stream of records.
class	WriteSink	Writes a stream of records to a data sink.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.io.avro

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 AbstractLogicalOperator in com.pervasive.datarush.operators.io.binary

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.io.binary

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.io.jdbc

Modifier and Type	Class	Description
class	AbstractWriteToJDBC	Abstract implementation of a JDBC writer.
protected static class	AbstractWriteToJDBC.AbstractWriteToJDBCWorker
class	DeleteFromJDBC	This operator deletes data in the target table in a database by applying SQL delete statements.
class	FinalizeSQLWorker
class	InitializeSQLWorker
class	JDBCOperator	Common base class for ReadFromJDBC and AbstractWriteToJDBC.
class	ReadFromJDBC	The ReadFromJDBC operator is used to access relational database systems using a supplied JDBC driver.
class	UpdateInJDBC	This operator updates the target table in a database by applying SQL update statements.
class	WriteToJDBC	In its simplest form, writes records from an input port to a JDBC target table using insert statements.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.io.mdf

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.io.staging

Modifier and Type	Class	Description
class	ForceRecordStaging	Forces staging of record ports.
class	ForceStaging<P extends LogicalPort>	Forces the operators on the input and output sides to execute sequentially, instead of concurrently.
class	ReadStagingDataset	Reads a sequence of records previously staged to disk.
class	WriteStagingDataset	Writes a sequence of records to disk in an internal format for staged data.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.io.textfile

Modifier and Type	Class	Description
class	AbstractTextReader	A generic reader of text data representing a stream of records.
class	AbstractTextWriter	A generic writer of text data representing a stream of records.
class	ParseTextFields	Parses input text records according to a specified text schema.
class	ReadARFF	Read files in the Attribute-Relation File Format (ARFF).
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).
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 AbstractLogicalOperator in com.pervasive.datarush.operators.io.vectorwise

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.io.vectorwise

Modifier and Type	Class	Description
class	LoadActianVector	Bulk load data into the Actian Vector database.
class	LoadVectorOnHadoop	Deprecated. this operator has been replaced with LoadActianVector; use that operator instead.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.io.vectorwise.dl

Modifier and Type	Class	Description
class	LoadVectorOnHadoopDirect	Deprecated. this operator has been replaced with LoadActianVector; use that operator instead.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.join

Modifier and Type	Class	Description
class	AbstractRelationalJoin	Common base class for the various types of join that we support.
class	CrossJoin	Produce the cartesian product of two sets of records.
class	FilterExistingRows	Filters records on the left based on the presence of matching records on the right.
class	FilterExistJoinProcess
class	Join	Performs a relational equi-join on two input datasets by a specified set of keys.
class	SemiJoin	Deprecated. this operator has been replaced with FilterExistingRows; use that operator instead, linking to the appropriate output port.
class	UnionAll	Provides a union of two data sources.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.model

Modifier and Type	Class	Description
class	GetModel<T>	Provides a way to update an in-memory reference to a model object.
class	MergeModel<T>	This operator is uses to force a merge of a partitioned model into a single model.
class	PutModel<T>	Provides a way to inject an in-memory reference to a model object into a graph.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.partition

Modifier and Type	Class	Description
class	GatherHint	Forces parallel streams of data to be gathered into a single non-parallel stream.
class	PartitionHint	Forces the input data to be partitioned into parallel streams of data for subsequent parallel operations.
class	Randomize	Operator that re-orders its input in a random fashion.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.record

Modifier and Type	Class	Description
class	ColumnsToRows	Normalize records by transposing values from row columns into multiple rows.
class	DeriveFields	Applies one or more functions to the input record data.
class	DiscoverDomain	Utility operator for discovering the domain of string fields.
class	FilterFields	Base class for operators which filter fields in the input records.
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 AbstractLogicalOperator in com.pervasive.datarush.operators.scripting

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.scripting

Modifier and Type	Class	Description
class	RunJavaScript	Processes rows using user-defined scripts written in JavaScript.
class	RunScript	Processes rows using user-defined scripts.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.select

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 AbstractLogicalOperator in com.pervasive.datarush.operators.sink

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.sink

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.sort

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.source

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

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.string

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

Uses of AbstractLogicalOperator in com.pervasive.datarush.operators.testutils

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.operators.testutils

Modifier and Type	Class	Description
class	DumpPartitions	For test purposes--sorts inputs and writes to a file
class	ErrorSink	A record source sink throws an error either at composition time or execution time.
class	ErrorSource	A record source that throws an error either at composition time or execution time.
class	SimulatePartitions	For tests that wish to simulate a partitioned read.

Uses of AbstractLogicalOperator in com.pervasive.datarush.ports.record

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.ports.record

Modifier and Type	Class	Description
class	ExternalRecordSink	Defines an external sink of record data.
class	ExternalRecordSource	Defines an external source of record data.

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

Subclasses of AbstractLogicalOperator in com.pervasive.datarush.script.operators.group

Modifier and Type	Class	Description
class	ProcessByGroup	Executes an application graph for each distinct key group of data within the input data set.