westonpace commented on a change in pull request #9561:
URL: https://github.com/apache/arrow/pull/9561#discussion_r583113776
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File path: r/R/dataset-partition.R
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@@ -72,19 +77,22 @@ HivePartitioning$create <- dataset___HivePartitioning
#' Because fields are named in the path segments, order of fields passed to
#' `hive_partition()` does not matter.
#' @param ... named list of [data types][data-type], passed to [schema()]
+#' @param null_fallback character to be used in place of `NA` and `NULL` values
+#' in columns that are being partitioned by. (default:
+#' `"__HIVE_DEFAULT_PARTITION__"`)
Review comment:
Lots of tools follow this convention, Spark, Athena, Redshift, Impala.
They all refer to this style of partitioning as "hive partitioning". I don't
think Hive itself is always involved. I'm not sure if Hive came first or if
this was a Spark convention that spun off into Hive or how things were ordered.
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