Repository: spark
Updated Branches:
  refs/heads/master 83a42897a -> 70ffff21f


[DOCS][MINOR] Clarify Where AccumulatorV2s are Displayed

## What changes were proposed in this pull request?

This PR clarifies where accumulators will be displayed.

## How was this patch tested?

No testing.

Please review http://spark.apache.org/contributing.html before opening a pull 
request.

Author: Bill Chambers <b...@databricks.com>
Author: anabranch <wac.chamb...@gmail.com>
Author: Bill Chambers <wchamb...@ischool.berkeley.edu>

Closes #16180 from anabranch/improve-acc-docs.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/70ffff21
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/70ffff21
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/70ffff21

Branch: refs/heads/master
Commit: 70ffff21f769b149bee787fe5901d9844a4d97b8
Parents: 83a4289
Author: Bill Chambers <b...@databricks.com>
Authored: Mon Dec 12 13:33:17 2016 +0000
Committer: Sean Owen <so...@cloudera.com>
Committed: Mon Dec 12 13:33:17 2016 +0000

----------------------------------------------------------------------
 docs/programming-guide.md | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/70ffff21/docs/programming-guide.md
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diff --git a/docs/programming-guide.md b/docs/programming-guide.md
index 4267b8c..353730c 100644
--- a/docs/programming-guide.md
+++ b/docs/programming-guide.md
@@ -1345,14 +1345,15 @@ therefore be efficiently supported in parallel. They 
can be used to implement co
 MapReduce) or sums. Spark natively supports accumulators of numeric types, and 
programmers
 can add support for new types.
 
-If accumulators are created with a name, they will be
-displayed in Spark's UI. This can be useful for understanding the progress of
-running stages (NOTE: this is not yet supported in Python).
+As a user, you can create named or unnamed accumulators. As seen in the image 
below, a named accumulator (in this instance `counter`) will display in the web 
UI for the stage that modifies that accumulator. Spark displays the value for 
each accumulator modified by a task in the "Tasks" table.
 
 <p style="text-align: center;">
   <img src="img/spark-webui-accumulators.png" title="Accumulators in the Spark 
UI" alt="Accumulators in the Spark UI" />
 </p>
 
+Tracking accumulators in the UI can be useful for understanding the progress 
of 
+running stages (NOTE: this is not yet supported in Python).
+
 <div class="codetabs">
 
 <div data-lang="scala"  markdown="1">


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