zhengruifeng commented on code in PR #37564:
URL: https://github.com/apache/spark/pull/37564#discussion_r949701378
##########
python/pyspark/pandas/frame.py:
##########
@@ -455,10 +456,14 @@ def __init__( # type: ignore[no-untyped-def]
from pyspark.pandas.indexes.base import Index
if isinstance(index, Index):
- raise TypeError(
- "The given index cannot be a pandas-on-Spark index. "
- "Try pandas index or array-like."
- )
+ if get_option("compute.ops_on_diff_frames"):
+ index = index.to_pandas()
Review Comment:
I am still a lit confused:
do you mean this?
1. parallelize data;
2. attach a `temp_index` with `AttachDistributedSequence` or `zipWithIndex`
for both data and ps.Index;
3. inner join on the `temp_index`
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