* Allow reading and writing single-column vector Parquet files.
These files are commonly produced by Spark ML's feature processing code.
* [Dist] Only write single-column vector files for Parquet in tests.
* [Dist] Add support for Parquet-formatted edges files, remove some assumptions on edge file number.
* [Dist] Add parquet edges option to unit tests.
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
* [Dist] enable to chunk node/edge data into arbitrary number of chunks
* [Dist] enable to split node/edge data into arbitrary parts
* refine code
* Format boolean to uint8 forcely to avoid dist.scatter failure
* convert boolean to int8 before scatter and revert it after scatter
* refine code
* fix test
* refine code
* move test utilities into utils.py
* update comment
* fix empty data
* update
* update
* fix empty data issue
* release unnecessary mem
* release unnecessary mem
* release unnecessary mem
* release unnecessary mem
* release unnecessary mem
* remove unnecessary shuffle data
* separate array_split into standalone utility
* add example
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Theodore Vasiloudis