Closed yudppp closed 7 years ago
Hi @k24d , @toru-takahashi , @yyuu
Add bulk import option parallel and prepare parallel.
--prepare-parallel specifies the number of threads are to be used to compress the data locally. Normally, this number should match the number of CPU cores on your machine. (https://docs.treasuredata.com/articles/bulk-import-tips-and-tricks)
I think you should prepare-parallel option default value is CPU cores, but this occurr small breaking changes.
prepare-parallel
Because so prepare-parallel option default is as it is.
Coverage increased (+0.01%) to 94.928% when pulling a64e64e7549977e78f882fb56a399ea9aa7affd5 on yudppp:feature/add_parallel_and_prepare-parallel_options into e06edc0d9ffb9652746a8b45cd4067c273cf3701 on treasure-data:master.
@yudppp thank you. This change looks good and I'll merge it.
Oops, I can't :( @yyuu can I ask you to take over?
Thanks:)
Released v0.6.8 on PyPI including this.
https://pypi.python.org/pypi/luigi-td/0.6.8
Hi @k24d , @toru-takahashi , @yyuu
Add bulk import option parallel and prepare parallel.
I think you should
prepare-parallel
option default value is CPU cores, but this occurr small breaking changes.Because so
prepare-parallel
option default is as it is.