[python] support chunk shuffle for append table

[steFaiz]

Purpose

This PR will close: #8010
I tested a data-evolution table of 100,000,000 records, several structured columns and a blob column.
The result is as below:

Metrics	Value
Plan	49.78s
AVG Per chunk read	1.199s
chunk size	100
AVG chunk Arrow size	41.14 MiB
AVG chunk file num	81
columns	length, image_name, conversations, width, height, image_count, dataset, image_bytes

I directly test reading tables on dfs, it costs a lot to plan i.e. generate 1 million DataSplits and shuffle them. This is because generating 1 million objects in Python is heavy. This will be completed within several hundred of millisecond is Java.

Next step I'll try to add shuffle and buffered shuffle for Pytorch Paimon Dataset.

Tests

See Unit Tests

[JingsongLi]

Hi @steFaiz Thanks for the contribution! Maybe just implementing shuffle in Pytorch Paimon Dataset in this PR? And document it.