All Classes and Interfaces
Class
Description
A compact immutable sequence of boolean values backed by a bit set.
Stores category codes as a compact immutable integer sequence for
dictionary-encoded columns.
Base contract for a named column of tabular data, including size, null-state,
comparison, projection, and row-level access operations.
Builds an immutable column instance for a specific column name.
A column of byte values used for compact storage of byte-oriented data and
file-signature style checks.
An object column optimised for repeated values by storing dictionary-encoded
categories.
A column of nullable double values with efficient primitive access and
predicate-based row selection.
A column of nullable int values with efficient primitive access and
predicate-based row selection.
A column of nullable long values with efficient primitive access and
predicate-based row selection.
A column that stores object values, including strings, dates, decimals, and
other reference types.
Compares two primitive int values without boxing.
Supplies a named input stream for reading tabular data from an external
source.
Represents a composite grouping key made up of one or more ordered key
components.
Detects header rows and selected columns for an input stream according to a
specific header interpretation strategy.
Iterates through parsed rows from an input source while exposing the current
row and reader settings.
Creates
LineReader instances for a data source and a set of read
settings.Represents a parsed input row as offsets into a shared character buffer.
Consumes parsed rows during a read operation.
Creates row consumers after header detection has established how incoming
rows should be interpreted.
A row consumer that can build a final result once all input rows have been
processed.
Defines a reusable row filter that binds to a table and evaluates rows by
index.
Streams rows with support for marking a position and resetting back to it.
Represents a tabular data set with a name, description, and row/column
dimensions.
A column-oriented table whose data is exposed as named columns and can be
sliced, filtered, transformed, grouped, and sorted.
Applies a named structural transformation to a table's columns map.
Transforms individual column values from one type to another while carrying
the target value type and optional output column name.
Maps logical row positions in a view to row positions in the underlying data,
including optional unset entries.