See the NOTICE file# distributed with this work for additional information# regarding copyright ownership. I was using the reticulate package in R to utilize the python read_parquet. Can be#' `NULL`, "ms" or "us". Apologies if there is already a way to do this. Share Default `TRUE`#' @param write_statistics Specify if we should write statistics. The only problem was, that it took like 10 times more to convert it from a pandas dataframe to a r dataframe. Default `TRUE`#' - `write_statistics`: Specify if we should write statistics. a single string for `compression`) applies to all columns#' - An unnamed vector, of the same size as the number of columns, to specify a#' - A named vector, to specify the value for the named columns, the default#' value for the setting is used when not supplied#' Unlike the high-level [write_parquet], `ParquetWriterProperties` arguments#' use the C++ defaults. Read parquet files from R by using Apache Arrow Default `NULL` (no casting)#' @param allow_truncated_timestamps Allow loss of data when coercing timestamps to a#' particular resolution. Default 1 MiB.#' @param properties properties for parquet writer, derived from arguments#' `version`, `compression`, `compression_level`, `use_dictionary`,#' `write_statistics` and `data_page_size`. The ASF licenses this file# to you under the Apache License, Version 2.0 (the# "License"); you may not use this file except in compliance# with the License. I am contributing to Arrow 3731. This function enables you to read Parquet files into R. read_parquet: Read a Parquet file in arrow: Integration to 'Apache' 'Arrow' rdrr.io Find an R package R language docs Run R in your browser R … See the License for the# specific language governing permissions and limitations#' '[Parquet](https://parquet.apache.org/)' is a columnar storage file format.#' This function enables you to read Parquet files into R.#' @param ... Additional arguments passed to `ParquetFileReader$create()`#' @return A [arrow::Table][Table], or a `data.frame` if `as_data_frame` is#' df <- read_parquet(tf, col_select = starts_with("d"))#' [Parquet](https://parquet.apache.org/) is a columnar storage file format.#' This function enables you to write Parquet files from R.#' @param x An [arrow::Table][Table], or an object convertible to it.#' @param sink an [arrow::io::OutputStream][OutputStream] or a string which is interpreted as a file path#' @param chunk_size chunk size in number of rows. R/parquet.R defines the following functions: create create create create make_valid_version create write_parquet read_parquet arrow source: R/parquet.R rdrr.io Find an R package R language docs Run R in your browser R Notebooks Default `TRUE`#' @param data_page_size Set a target threshold for the approximate encoded#' size of data pages within a column chunk (in bytes). Clone with Git or checkout with SVN using the repository’s web address. Instantly share code, notes, and snippets. To#' disable compression, set `compression = "uncompressed"`.#' Note that "uncompressed" columns may still have dictionary encoding.#' write_parquet(data.frame(x = 1:5), tf2, compression = "gzip", compression_level = 5)# Match the pyarrow default (overriding the C++ default)# Note: `properties` and `arrow_properties` are not actually $create()-ed# until the next line, so the compression change is applied.#' @description This class holds settings to control how a Parquet file is read#' The `ParquetWriterProperties$create()` factory method instantiates the object#' - `version`: Parquet version, "1.0" or "2.0". Default `TRUE`#' - `data_page_size`: Set a target threshold for the approximate encoded#' size of data pages within a column chunk (in bytes). It actually works pretty good and reading the file was very fast. Currently this means "uncompressed" rather thanparquet___ArrowWriterProperties___Builder__set_compression_levels# If there's a single, unnamed value, FUN will set it globally# If there are values for all columns, send them along with the names#' @description This class enables you to interact with Parquet files.#' The `ParquetFileWriter$create()` factory method instantiates the object and#' - `sink` An [arrow::io::OutputStream][OutputStream] or a string which is interpreted as a file path#' - `properties` An instance of [ParquetWriterProperties]#' - `arrow_properties` An instance of `ParquetArrowWriterProperties`#' @description This class enables you to interact with Parquet files.#' The `ParquetFileReader$create()` factory method instantiates the object and#' - `file` A character file name, raw vector, or Arrow file connection object#' - `mmap` Logical: whether to memory-map the file (default `TRUE`)#' - `$ReadTable(col_select)`: get an `arrow::Table` from the file, possibly#' with columns filtered by a character vector of column names or a#' - `$GetSchema()`: get the `arrow::Schema` of the data in the file#' f <- system.file("v0.7.1.parquet", package="arrow")#' @description This class holds settings to control how a Parquet file is read#' The `ParquetReaderProperties$create()` factory method instantiates the object#' - `use_threads` Logical: whether to use multithreading (default `TRUE`)#' - `$set_read_dictionary(column_index, read_dict)`
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