Read out only the required columns from a Feather file on Disk

[asfimport]

The LZ4 compressed feather format works really well and is quite nice and fast than Parquet when reading all the columns out. For single columns, looks like feather format does not yet support the capability to read out only the required columns from the disk. Are there any plans to add support for this? Here are some numbers to support my claim from an experiment with a table with 17 columns and 5 million rows in uncompressed parquet and LZ4 compressed feather format. No memory mapping involved.

 
pq_all_cols: 0.4179724836349487 ms
feather_all_cols: 0.26202451705932617 ms
pq_single_col: 0.10951032638549804 ms
feather_single_col: 0.2119576358795166 ms

Reporter: Jayjeet Chakraborty / @JayjeetAtGithub

Related issues:

• [C++] Enable fine-grained I/O (coalescing) in IPC reader (relates to)

_{Note: This issue was originally created as ARROW-13126. Please see the migration documentation for further details.}

[asfimport]

David Li / @lidavidm:
ARROW-12683 describes the needed optimization, essentially.

[asfimport]

David Li / @lidavidm:
Note that the Feather reader already skips decoding of columns that you do not wish to read, even if it doesn't skip IO.

[asfimport]

Jayjeet Chakraborty / @JayjeetAtGithub:

Note that the Feather reader already skips decoding of columns that you do not wish to read, even if it doesn't skip IO.
Thanks. That makes sense now. That is probably the reason for the slightly lesser time taken to read a single column as compared to all the columns in a feather file. 
ARROW-12683 describes the needed optimization, essentially.

Good to see that this issue is already getting attention.