Uses of Interface
org.rumbledb.runtime.dataframe.RuntimeDataFrame
Packages that use RuntimeDataFrame
Package
Description
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Uses of RuntimeDataFrame in org.rumbledb.items.structured
Classes in org.rumbledb.items.structured that implement RuntimeDataFrame -
Uses of RuntimeDataFrame in org.rumbledb.runtime.dataframe
Methods in org.rumbledb.runtime.dataframe that return RuntimeDataFrameModifier and TypeMethodDescriptionRuntimeDataFrameFactory.fromList(List<T> values, DynamicContext context, RuntimeStaticContext staticContext) RuntimeDataFrameFactory.fromRDD(org.apache.spark.api.java.JavaRDD<T> rdd, DynamicContext context, RuntimeStaticContext staticContext) -
Uses of RuntimeDataFrame in org.rumbledb.runtime.flwor
Classes in org.rumbledb.runtime.flwor that implement RuntimeDataFrameMethods in org.rumbledb.runtime.flwor with parameters of type RuntimeDataFrameModifier and TypeMethodDescriptionstatic org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>FlworDataFrameUtils.zipWithIndex(RuntimeDataFrame<Item> dataFrame, Long offset) Zips an item runtime DataFrame to a special column. -
Uses of RuntimeDataFrame in org.rumbledb.runtime.plan
Methods in org.rumbledb.runtime.plan that return RuntimeDataFrameModifier and TypeMethodDescriptionDataFrameRuntimePlan.createNativeDataFrame(DynamicContext context) Builds the DataFrame for one evaluation.final RuntimeDataFrame<T>RuntimePlan.getDataFrame(@NonNull DynamicContext context) Executes this plan in its selected native representation and exposes the result as a typed runtime DataFrame. -
Uses of RuntimeDataFrame in org.rumbledb.spark.ml
Methods in org.rumbledb.spark.ml that return RuntimeDataFrameModifier and TypeMethodDescriptionstatic RuntimeDataFrame<Item>RumbleMLUtils.createDataFrameContainingVectorizedColumn(RuntimeDataFrame<Item> inputDataset, String paramNameExposedToTheUser, String[] arrayOfInputColumnNames, String outputColumnName, ExceptionMetadata metadata) static RuntimeDataFrame<Item>RumbleMLUtils.getDataFrameOrInferFromVariable(DynamicContext context, Name inputVariableName, RuntimeStaticContext staticContext, ExceptionMetadata metadata) Methods in org.rumbledb.spark.ml with parameters of type RuntimeDataFrameModifier and TypeMethodDescriptionstatic RuntimeDataFrame<Item>RumbleMLUtils.createDataFrameContainingVectorizedColumn(RuntimeDataFrame<Item> inputDataset, String paramNameExposedToTheUser, String[] arrayOfInputColumnNames, String outputColumnName, ExceptionMetadata metadata)