rcdf (version 0.1.3)

read_parquet: Read Parquet file with optional decryption

Description

This function reads a Parquet file, optionally decrypting it using the provided decryption key. If no decryption key is provided, it reads the file normally without decryption. It supports reading Parquet files as Arrow tables or regular data frames, depending on the as_arrow_table argument.

Usage

read_parquet(
  path,
  ...,
  decryption_key = NULL,
  as_arrow_table = TRUE,
  metadata = NULL
)

Value

An Arrow table or a data frame, depending on the value of as_arrow_table.

Arguments

path

The file path to the Parquet file.

...

Additional arguments passed to arrow::open_dataset() when no decryption key is provided.

decryption_key

A list containing aes_key and aes_iv. If provided, the Parquet file will be decrypted using these keys. Default is `NULL`.

as_arrow_table

Logical. If TRUE, the function will return the result as an Arrow table. If FALSE, a regular data frame will be returned. Default is TRUE.

metadata

Optional metadata (e.g., a data dictionary) to be applied to the resulting data.

Examples

# Using sample Parquet files from `mtcars` dataset
dir <- system.file("extdata", package = "rcdf")

# Without decryption
df <- read_parquet(file.path(dir, "mtcars.parquet"))
df

# With decryption
decryption_key <- list(
  aes_key = "5bddd0ea4ab48ed5e33b1406180d68158aa255cf3f368bdd4744abc1a7909ead",
  aes_iv = "7D3EF463F4CCD81B11B6EC3230327B2D"
)

df_with_encryption <- read_parquet(
  file.path(dir, "mtcars-encrypted.parquet"),
  decryption_key = decryption_key
 )
df_with_encryption