Package: parquetize 0.5.7

parquetize: Convert Files to Parquet Format

Collection of functions to get files in parquet format. Parquet is a columnar storage file format <https://parquet.apache.org/>. The files to convert can be of several formats ("csv", "RData", "rds", "RSQLite", "json", "ndjson", "SAS", "SPSS"...).

Authors:Damien Dotta [aut, cre], Nicolas Chuche [aut]

parquetize_0.5.7.tar.gz
parquetize_0.5.7.zip(r-4.5)parquetize_0.5.7.zip(r-4.4)parquetize_0.5.7.zip(r-4.3)
parquetize_0.5.7.tgz(r-4.4-any)parquetize_0.5.7.tgz(r-4.3-any)
parquetize_0.5.7.tar.gz(r-4.5-noble)parquetize_0.5.7.tar.gz(r-4.4-noble)
parquetize_0.5.7.tgz(r-4.4-emscripten)parquetize_0.5.7.tgz(r-4.3-emscripten)
parquetize.pdf |parquetize.html
parquetize/json (API)
NEWS

# Install 'parquetize' in R:
install.packages('parquetize', repos = c('https://ddotta.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ddotta/parquetize/issues

On CRAN:

conversionconvertconvertercsvparquetsasspsssqlitestata

7.55 score 65 stars 1 packages 23 scripts 469 downloads 17 exports 44 dependencies

Last updated 1 months agofrom:197e42e2a1. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winOKNov 21 2024
R-4.4-macOKNov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:check_parquetcsv_to_parquetdbi_to_parquetdownload_extractexpect_missing_argumentexpect_parquetfst_to_parquetget_parquet_infoget_partitionsjson_to_parquetparquetize_examplerbind_parquetrds_to_parquetsqlite_to_parquettable_to_parquetwrite_parquet_at_oncewrite_parquet_by_chunk

Dependencies:arrowassertthatbitbit64blobcachemclicliprcpp11crayoncurlDBIdplyrfansifastmapforcatsfstfstcoregenericsgluehavenhmsjsonlitelifecyclemagrittrmemoisepillarpkgconfigplogrprettyunitsprogresspurrrR6RcppreadrrlangRSQLitetibbletidyselecttzdbutf8vctrsvroomwithr

Convert huge input file to parquet

Rendered fromaa-conversions.Rmdusingknitr::rmarkdownon Nov 21 2024.

Last update: 2024-05-17
Started: 2022-11-18