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https://issues.apache.org/jira/browse/ARROW-16015?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17511785#comment-17511785
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Joris Van den Bossche commented on ARROW-16015:
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We can maybe clarify in the documentation of {{batch_size}} that the actual
upper limit might depend on your files (such as row group size in Parquet).
I suppose this is also the same for the record batch size in IPC / Feather
files? (or stripe size in ORC files)
> [python] Scanning batch size is limited to 65536 (2**16).
> ---------------------------------------------------------
>
> Key: ARROW-16015
> URL: https://issues.apache.org/jira/browse/ARROW-16015
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 7.0.0, 8.0.0
> Environment: macOS
> Reporter: A. Coady
> Priority: Major
>
> [Scanning
> batches|https://arrow.apache.org/docs/python/dataset.html#iterative-out-of-core-or-streaming-reads]
> is documented to default to a batch size of 1,000,000. But the behavior is
> that batch size defaults to - and is limited to - 65536.
> {code:python}
> In []: dataset.count_rows()
> Out[]: 538038292
> In []: next(dataset.to_batches()).num_rows
> Out[]: 65536
> In []: next(dataset.to_batches(batch_size=10**6)).num_rows
> Out[]: 65536
> In []: next(dataset.to_batches(batch_size=10**4)).num_rows
> Out[]: 10000
> {code}
>
>
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