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authorMichael Gummelt <mgummelt@mesosphere.io>2016-07-08 20:20:26 -0700
committerReynold Xin <rxin@databricks.com>2016-07-08 20:20:26 -0700
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[SPARK-11857][MESOS] Deprecate fine grained
## 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 https://github.com/apache/spark/pull/14059 ## How was this patch tested? Viewed in Github Author: Michael Gummelt <mgummelt@mesosphere.io> Closes #14078 from mgummelt/deprecate-fine-grained.
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diff --git a/docs/running-on-mesos.md b/docs/running-on-mesos.md
index 8ab5f30220..5219e99fee 100644
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@@ -181,7 +181,7 @@ Note that jars or python files that are passed to spark-submit should be URIs re
# Mesos Run Modes
Spark can run over Mesos in two modes: "coarse-grained" (default) and
-"fine-grained".
+"fine-grained" (deprecated).
## Coarse-Grained
@@ -213,7 +213,12 @@ the application. To configure your job to dynamically adjust to its
resource requirements, look into
[Dynamic Allocation](#dynamic-resource-allocation-with-mesos).
-## Fine-Grained
+## Fine-Grained (deprecated)
+
+**NOTE:** Fine-grained mode is deprecated as of Spark 2.0.0. Consider
+ using [Dynamic Allocation](#dynamic-resource-allocation-with-mesos)
+ for some of the benefits. For a full explanation see
+ [SPARK-11857](https://issues.apache.org/jira/browse/SPARK-11857)
In "fine-grained" mode, each Spark task inside the Spark executor runs
as a separate Mesos task. This allows multiple instances of Spark (and