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if storage_type is StorageType.DISTRIBUTED, the returned tables is a distributed ray dataset.
Several changes are needed to deal with a distributed dataset:
replace len() with ds.count(), as len() is not an available attribute of ray dataset
figure out how to enumerate a ray dataset as 'Dataset' object is not iterable
figure out how to avoid memory copy if ray dataset has to be converted into a pa.table, etc.
The text was updated successfully, but these errors were encountered:
https://github.com/ray-project/deltacat/blob/main/deltacat/compute/compactor/steps/hash_bucket.py#L121
if
storage_type
isStorageType.DISTRIBUTED
, the returnedtables
is a distributed ray dataset.Several changes are needed to deal with a distributed dataset:
The text was updated successfully, but these errors were encountered: