setup_ParquetIngest: Set up a 'ParquetIngestConfig'

In rtemis: Schema-Driven Machine Learning and Visualization

Set up a ParquetIngestConfig

Description

Reading a Parquet file. It declares its own types, so there is nothing to tell the reader except which reader to be.

Usage

setup_ParquetIngest(
  columns = NULL,
  character2factor = TRUE,
  clean_colnames = TRUE,
  remove_duplicates = FALSE,
  reader = "arrow"
)

Arguments

columns	Optional Named vector: Declared column types, keyed by column name, in the profile/r/v1 vocabulary – c(Age = "integer"). A column named here is converted to that type after reading, so a known type takes precedence over the reader's inference.
character2factor	Logical: If TRUE, read character columns as factors.
clean_colnames	Logical: If TRUE, normalize column names.
remove_duplicates	Logical: If TRUE, drop rows repeating an earlier row.
reader	Character {"arrow", "nanoparquet"}: Library used to read the file.

Value

ParquetIngestConfig object.

Author(s)

EDG

Examples

setup_ParquetIngest()

rtemis documentation built on Oct. 20, 2026, 1:06 a.m.