6688ba6e68
Dynamic allocation is a feature that allows a Spark application to scale the number of executors up and down dynamically based on the workload. Support was first introduced in YARN since 1.2, and then extended to Mesos coarse-grained mode recently. Today, it is finally supported in standalone mode as well! I tested this locally and it works as expected. This is WIP because unit tests are coming. Author: Andrew Or <andrew@databricks.com> Closes #7532 from andrewor14/standalone-da and squashes the following commits: b3c1736 [Andrew Or] Merge branch 'master' of github.com:apache/spark into standalone-da 879e928 [Andrew Or] Add end-to-end tests for standalone dynamic allocation accc8f6 [Andrew Or] Address comments ee686a8 [Andrew Or] Merge branch 'master' of github.com:apache/spark into standalone-da c0a2c02 [Andrew Or] Fix build after merge conflict 24149eb [Andrew Or] Merge branch 'master' of github.com:apache/spark into standalone-da 2e762d6 [Andrew Or] Merge branch 'master' of github.com:apache/spark into standalone-da 6832bd7 [Andrew Or] Add tests for scheduling with executor limit a82e907 [Andrew Or] Fix comments 0a8be79 [Andrew Or] Simplify logic by removing the worker blacklist b7742af [Andrew Or] Merge branch 'master' of github.com:apache/spark into standalone-da 2eb5f3f [Andrew Or] Merge branch 'master' of github.com:apache/spark into standalone-da 1334e9a [Andrew Or] Fix MiMa 32abe44 [Andrew Or] Fix style 58cb06f [Andrew Or] Privatize worker blacklist for cleanliness 42ac215 [Andrew Or] Clean up comments and rewrite code for readability 49702d1 [Andrew Or] Clean up shuffle files after application exits 80047aa [Andrew Or] First working implementation |
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| project | ||
| build.properties | ||
| MimaBuild.scala | ||
| MimaExcludes.scala | ||
| plugins.sbt | ||
| SparkBuild.scala | ||