[SPARK-4158] Fix for missing resources.#3024
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brndnmtthws wants to merge 1 commit intoapache:masterfrom
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[SPARK-4158] Fix for missing resources.#3024brndnmtthws wants to merge 1 commit intoapache:masterfrom
brndnmtthws wants to merge 1 commit intoapache:masterfrom
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Can one of the admins verify this patch? |
Mesos offers may not contain all resources, and Spark needs to check to ensure they are present and sufficient. Spark may throw an erroneous exception when resources aren't present.
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+1. |
Contributor
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add to whitelist |
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Test build #22564 has started for PR 3024 at commit
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Contributor
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+1 on the patch as well |
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Test build #22564 has finished for PR 3024 at commit
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Test PASSed. |
Contributor
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+1 This should be added as a HOTFIX to 1.2.0 |
Contributor
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I tried this patch on an internal system and can verify that it fixed the "No resource called cpus" error we had been getting. |
Contributor
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Ok, merging into master and 1.2 and 1.1. |
asfgit
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Nov 6, 2014
Mesos offers may not contain all resources, and Spark needs to check to ensure they are present and sufficient. Spark may throw an erroneous exception when resources aren't present. Author: Brenden Matthews <brenden@diddyinc.com> Closes #3024 from brndnmtthws/fix-mesos-resource-misuse and squashes the following commits: e5f9580 [Brenden Matthews] [SPARK-4158] Fix for missing resources. (cherry picked from commit cb0eae3) Signed-off-by: Andrew Or <andrew@databricks.com>
asfgit
pushed a commit
that referenced
this pull request
Nov 6, 2014
Mesos offers may not contain all resources, and Spark needs to check to ensure they are present and sufficient. Spark may throw an erroneous exception when resources aren't present. Author: Brenden Matthews <brenden@diddyinc.com> Closes #3024 from brndnmtthws/fix-mesos-resource-misuse and squashes the following commits: e5f9580 [Brenden Matthews] [SPARK-4158] Fix for missing resources. (cherry picked from commit cb0eae3) Signed-off-by: Andrew Or <andrew@databricks.com>
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Mesos offers may not contain all resources, and Spark needs to check to
ensure they are present and sufficient. Spark may throw an erroneous
exception when resources aren't present.