Update from code changes: document write_parallelism on add()#312
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Opened an alternative in #313 — reframes |
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Summary
The Python
add()method now exposes awrite_parallelismparameter to cap the number of parallel write partitions, and automatically bounds scan batch size and read-ahead for wide-rowpyarrow.dataset.Datasetinputs so bulk ingestion no longer OOMs the client on wide embedding columns. This PR documents the new knob and the auto-bounded behavior in the Ingestion section of the Performance Tips page. See lancedb/lancedb#3625.Changes
docs/performance.mdx, covering when to usewrite_parallelism, its default, and a code example.Datasetinputs are auto-sized against a ~1 GiB in-flight budget while narrow inputs keep PyArrow defaults.