Update from code changes: document StreamingDataset transform_parallelism - #324
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Summary
The Python
StreamingDatasetnow accepts a keyword-onlytransform_parallelismargument that caps how many transform batches run concurrently. Defaults preserve the previous behavior (one worker per CPU, falling back to one when the CPU count is unknown). The training data-loading page now covers the new option with a short example and a note about its memory/throughput trade-off. Triggering PR: lancedb/lancedb#3699Changes
transform_parallelismparameter and default fallback.transform_parallelismalso bounds in-flight batches.