amol- commented on code in PR #13155:
URL: https://github.com/apache/arrow/pull/13155#discussion_r876827822
##########
python/pyarrow/_dataset.pyx:
##########
@@ -405,6 +405,27 @@ cdef class Dataset(_Weakrefable):
use_threads=use_threads,
coalesce_keys=coalesce_keys,
output_type=InMemoryDataset)
+ def filter(self, expr):
+ """
+ Select rows from the Dataset.
+
+ The Dataset can be filtered based on a boolean :class:`Expression`
filter.
+
+ Parameters
+ ----------
+ expr : Expression
+ The boolean :class:`Expression` to filter the table with.
+
+ Returns
+ -------
+ filtered : InMemoryDataset
+ An InMemoryDataset of the same schema, with only the rows selected
+ by applied filtering
+
+ """
+ return _pc()._exec_plan._filter_table(self, expr,
Review Comment:
Good catch, I was thinking toward chaining of `join`,`group_by`,`filter` and
thus had `InMemoryDataset` in mind as the input, but you are right, if the
input is a on-disk dataset, using a scanner would be much more effective.
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