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docs: bring back hierarchy in ParallelLoader docs #706

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luisremis merged 2 commits into from
May 20, 2026
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docs: bring back hierarchy in ParallelLoader docs #706

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docs: bring back the hierarchy of data loaders in ParallelLoader docs
ad-claw000 May 20, 2026
62e7902
docs: clarify ParallelLoader accepts any Subscriptable
ad-claw000 May 20, 2026
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16 changes: 16 additions & 0 deletions aperturedb/ParallelLoader.py
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Expand Up @@ -24,6 +24,22 @@ class ParallelLoader(ParallelQuery.ParallelQuery):
This takes a dataset (which is a collection of homogeneous objects)
or a derived class, and optimally inserts them into database by splitting them
into batches, and passing the batches to multiple workers.

**Hierarchy of Data Loaders:**

It accepts any `Subscriptable` that yields `(commands, blobs)` (e.g., standard data loaders), and the dataset is passed to `ingest()` rather than the constructor. Examples of supported loaders include:

* `aperturedb.BBoxDataCSV.BBoxDataCSV`
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* `aperturedb.BlobDataCSV.BlobDataCSV`
* `aperturedb.ConnectionDataCSV.ConnectionDataCSV`
* `aperturedb.DescriptorDataCSV.DescriptorDataCSV`
* `aperturedb.DescriptorSetDataCSV.DescriptorSetDataCSV`
* `aperturedb.EntityDataCSV.EntityDataCSV`
* `aperturedb.ImageDataCSV.ImageDataCSV`
* `aperturedb.PolygonDataCSV.PolygonDataCSV`
* `aperturedb.VideoDataCSV.VideoDataCSV`
* A class derived from `aperturedb.PyTorchData.PyTorchData`
* A class derived from `aperturedb.KaggleData.KaggleData`
"""

def __init__(self, client: Connector, dry_run: bool = False):
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