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Feature Request

Many locales have the bare minimum when it comes to test cases. While I understand it can be tedious and repetitive to write out test case

Is your feature request related to a problem? Please describe.

The row_equality_comparator constructor currently accepts a bool to indicate if nulls are considered equal or not. In libcudf, we prefer to use scoped enums instead of bools and we already have a [`

Are you using Python or Rust?

Python

Which feature gates did you use?

This can be ignored by Python users.

What version of polars are you using?

0.9.12

What operating system are you using polars on?

macOS

Describe your bug.

When reading a CSV file with variable number of columns, polars assumes all rows have the number of columns inferred from th

We no longer need to control the number of concurrent kernels, since now we control the number of concurrent tasks

It's been reported by other projects that musl could lead to performance issues, so we should switch our Linux binary releases to use glibc instead to avoid these kind of potential pitfalls.

It would be helpful to have Fletchgen output warnings for unused metadata fields that start with fletcher_. For example, (this happened to me) when someone adds fletchgen_epc to Schema metadata instead of Field metadata.

Problem description

Reading a dataset with eager's read functionality raises a ValueError when providing columns.

Example code (ideally copy-pastable)

import pandas as pd

from tempfile import TemporaryDirectory
from functools import partial
from storefact import get_store_from_url

from kartothek.io.eager import store_dataframes_as_dataset, read_dataset_as_data

Add arrow.rs in benches/ and perform micro-benchmarks for creating ImmutableTable andRawTable to understand how our StructBuilder approach performs.

Using different sizes where the one below is "small".

#[derive(Arrow, Clone)]
pub struct Event {
   pub id: u64,
   pub data: f32,
}