I think it would be nice if there was a reversed version of humanize, i.e. a function that parses human readable input like "20 hours ago" and produces an Arrow object than can be used in scripts with ease.

Is your feature request related to a problem? Please describe.
It might be useful to have a singular clean and performant way to check if all the columns of a dataframe are of the same dtype, such as a DataFrame property _is_homogeneous. This comes up in a lot of places, such as where we might want to dispatch to a cupy matrix implementation (Transpose, some row wise reductions I believe

Update the TPCH example to support query 6:

select
	sum(l_extendedprice * l_discount) as revenue
from
	lineitem
where
	l_shipdate >= date ':1'
	and l_shipdate < date ':1' + interval '1' year
	and l_discount between :2 - 0.01 and :2 + 0.01
	and l_quantity < :3;

I'd like to be able to use INITCAP to capitalize the first character of every "token" in a string. This is listed as a supported operation on string columns in the Calcite reference, but is currently not implemented.

from pyspark.sql import SparkSession
from blazingsql import BlazingContext
import pandas as pd
​
​
# spark = SparkSession.builder \
#     .master("local") \
#    

Problem description

If CI fails at the moment, it could be because linting has gone wrong, test have failed or the release has failed.

IMO, it makes more sense to have a separate workflow/job for linting, and for release, isolated from testing. This way, it is easier for a contributor to spot what part of the job has failed.

Isolating linting from testing would also speed up the CI as w

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.

Currently Const has no definition or menu option on the sidebar

https://github.com/arrow-kt/arrow-core/blob/master/arrow-docs/docs/arrow/typeclasses/const/README.md