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mrjob v0.6.10 is released! Some important changes:
- PyPy-aware. If you launch a MRJob in PyPy, python_bin will default to `pypy` or `pypy3` as appropriate
- The Spark harness now works on EMR, allowing you to run “classic” MRJobs on EMR using Spark rather than Hadoop streaming
- see https://mrjob.readthedocs.io/en/stable/guides/spark.html#mrjobs-on-spark-on-emr - When using the Spark harness, you can turn off the internal protocol with --skip-internal-protocol, making the job run faster with (usually) the same semantics
- The default instance type on EMR is now m5.xlarge