v0.3.0rc1

This is the release notes of 0.3.0rc1. See here for the complete list of solved issues and merged PRs.

Highlights

• Mars now can handle more cases that failed due to tensors with unknown chunk shapes via iterative tiling support introduced in #834.
• Python 3.8 wheels are supported in this release.

New Features

• Support iterative tiling (#834)
• Add experimental column pruning rules for tileable graph optimization (#865)
• Tensor
  • Add mt.sort support (#827)
• DataFrame
  • Support DataFrame rechunk (#839)
  • Support Series's setitem and getitem by iloc operation (#843)
  • Add tree reduction method for DataFrame groupby aggregations (#850)
• Learn
  • Add mars.learn.datasets.samples_generator.make_blobs and update README (#845)
  • Support running PyTorch in Mars cluster via run_pytorch_script (#861)

Enhancements

• Add ReceiverStatusActor to help listening at receiver end (#833)
• Assign enqueued operands immediately when no descendants are ready (#854)
• Support transferring multiple chunks at one time (#841)

Bug fixes

• Fix incorrect behavior of dataframe arithmetic (#838)
• Mark resource as processing once allocated (#848)
• Fix read_csv execution on GPU (#859)
• Kill process tree when terminating a worker process (#864)

Tests

• Add separate environment to test HDFS (#829)
• Add CI/CD for Python 3.8 (#857)
• Fix distribute error under Py38 (#871)