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-rw-r--r--docs/running-on-yarn.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index c95f627c12..cf95b95afd 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -445,7 +445,7 @@ To use a custom metrics.properties for the application master and executors, upd
This will be used with YARN's rolling log aggregation, to enable this feature in YARN side
<code>yarn.nodemanager.log-aggregation.roll-monitoring-interval-seconds</code> should be
configured in yarn-site.xml.
- This feature can only be used with Hadoop 2.6.1+. The Spark log4j appender needs be changed to use
+ This feature can only be used with Hadoop 2.6.4+. The Spark log4j appender needs be changed to use
FileAppender or another appender that can handle the files being removed while its running. Based
on the file name configured in the log4j configuration (like spark.log), the user should set the
regex (spark*) to include all the log files that need to be aggregated.
@@ -524,8 +524,8 @@ pre-packaged distribution.
1. In the `yarn-site.xml` on each node, add `spark_shuffle` to `yarn.nodemanager.aux-services`,
then set `yarn.nodemanager.aux-services.spark_shuffle.class` to
`org.apache.spark.network.yarn.YarnShuffleService`.
-1. Increase `NodeManager's` heap size by setting `YARN_HEAPSIZE` (1000 by default) in `etc/hadoop/yarn-env.sh`
-to avoid garbage collection issues during shuffle.
+1. Increase `NodeManager's` heap size by setting `YARN_HEAPSIZE` (1000 by default) in `etc/hadoop/yarn-env.sh`
+to avoid garbage collection issues during shuffle.
1. Restart all `NodeManager`s in your cluster.
The following extra configuration options are available when the shuffle service is running on YARN: