[Mesos] expand coarse-grained mode docs#14059
[Mesos] expand coarse-grained mode docs#14059mgummelt wants to merge 2 commits intoapache:masterfrom
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I've added clarity to the coarse-grained mode documentation, as well as fixed some inconsistencies it had with the new Mesos scheduler |
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Test build #61797 has finished for PR 14059 at commit
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Even for small doc changes it can be useful (to speed up review) to verify that the docs build as expected and mention that under tests. |
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I added that I've verified the docs render correctly in github |
docs/running-on-mesos.md
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| The benefit of coarse-grained mode is much lower startup overhead, but | ||
| at the cost of reserving Mesos resources for the complete duration of | ||
| the application. |
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say a word about dynamic allocation?\
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LGTM except the minor comment. |
| requirements like interactive queries or serving web requests. | ||
| Spark can run over Mesos in two modes: "coarse-grained" (default) and | ||
| "fine-grained". | ||
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@rxin ready for merge. Would also like this in the 2.0 branch if possible. |
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Test build #61868 has finished for PR 14059 at commit
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| ## Fine-Grained | ||
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| In "fine-grained" mode, each Spark task inside the Spark executor runs |
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can you add a message saying this is deprecated as of spark 2.0?
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I just made a separate PR for that: #14078
Does that work?
Also, will this be merged into Spark 2.0.0? I need to make the copy consistent with the version.
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Maybe we raced. I'm going to merge this one first and merge your deprecation one later. merging in master/2.0. |
## What changes were proposed in this pull request? Documentation changes to indicate that fine-grained mode is now deprecated. No code changes were made, and all fine-grained mode instructions were left in place. We can remove all of that once the deprecation cycle completes (Does Spark have a standard deprecation cycle? One major version?) Blocked on #14059 ## How was this patch tested? Viewed in Github Author: Michael Gummelt <mgummelt@mesosphere.io> Closes #14078 from mgummelt/deprecate-fine-grained. (cherry picked from commit b1db26a) Signed-off-by: Reynold Xin <rxin@databricks.com>
## What changes were proposed in this pull request? Documentation changes to indicate that fine-grained mode is now deprecated. No code changes were made, and all fine-grained mode instructions were left in place. We can remove all of that once the deprecation cycle completes (Does Spark have a standard deprecation cycle? One major version?) Blocked on #14059 ## How was this patch tested? Viewed in Github Author: Michael Gummelt <mgummelt@mesosphere.io> Closes #14078 from mgummelt/deprecate-fine-grained.
What changes were proposed in this pull request?
docs
How was this patch tested?
viewed the docs in github