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author | Reynold Xin <rxin@apache.org> | 2014-01-21 14:53:49 -0800 |
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committer | Reynold Xin <rxin@apache.org> | 2014-01-21 14:53:49 -0800 |
commit | 749f842827c7e7766a342b6b0a437803044a9f90 (patch) | |
tree | 8c2d5441a6bdd72543d9181239f0daacb2b5c4e3 /mllib | |
parent | f8544981a6d05687fa950639cb1eb3c31e9b6bf5 (diff) | |
parent | 069bb94206530a30d095c4920ecfc3b4a8635a72 (diff) | |
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Merge pull request #489 from ash211/patch-6
Clarify spark.default.parallelism
It's the task count across the cluster, not per worker, per machine, per core, or anything else.
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