Carl Boettiger created ARROW-15151: -------------------------------------- Summary: write_dataset() never increments {i} in partitions part-{i} Key: ARROW-15151 URL: https://issues.apache.org/jira/browse/ARROW-15151 Project: Apache Arrow Issue Type: Bug Components: R Affects Versions: 6.0.1 Environment: Ubuntu 21.04 Reporter: Carl Boettiger
Introducing partitioning in write_dataset() creates sub-folders just fine, but the lowest-level subfolder only ever contains a part-0.parquet. I don't see how to get write_dataset() to ever generate output with multiple part-filenames in a single directory, like part-0.parquet, part-1.parquet, etc. e.g. the documentation for open_dataset() implies we should get three `Z` level parts: {code:java} # You can also partition by the values in multiple columns # (here: "cyl" and "gear"). # This creates a structure of the form cyl=X/gear=Y/part-Z.parquet. two_levels_tree <- tempfile() write_dataset(mtcars, two_levels_tree, partitioning = c("cyl", "gear")) list.files(two_levels_tree, recursive = TRUE) # In the two previous examples we would have: # X = {4,6,8}, the number of cylinders. # Y = {3,4,5}, the number of forward gears. # Z = {0,1,2}, the number of saved parts, starting from 0. {code} But I only get the expected structure with part-0.parquet files. Context: I frequently need to partition large files that lack any natural grouping variable; I merely want a bunch of small parts of equal size. It would be great if there was an automatic way of doing this; currently I can hack this by creating a partition column with integers 1...n where n is my desired number of partitions, and partition on that. I'd then like to write these to a flat structure with part-0.parquet, part-1.parquet etc, not a nested folder structure, if possible. (Or better yet, it would be amazing if write_dataset() just let us set a maximum partition file size and could automate the sharding into parts while preserving the existing behavior for actually semantically meaningful groups. Maybe that is already the intent but I cannot see how to activate it!) -- This message was sent by Atlassian Jira (v8.20.1#820001)