[ARROW-2451] Handle more dtypes efficiently in custom numpy array serializer.

• Type: Improvement
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 0.10.0
• Component/s: Python
• Labels: pull-request-available
• External issue URL: https://github.com/apache/arrow/issues/18594
• Assignee: Robert Nishihara
• Reporter: Robert Nishihara
• Created: 12/Apr/18 19:53
• Updated: 11/Jan/23 07:21
• Resolved: 12/Apr/18 22:39

Description

Right now certain dtypes like bool or fixed length strings are serialized as lists, which is inefficient. We can handle these more efficiently by casting them to uint8 and saving the original dtype as additional data.

Issue Links

• links to: GitHub Pull Request #1887