diff --git a/docs/configuration.md b/docs/configuration.md
index b907cd312d782..c0bee954bf144 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -333,6 +333,32 @@ Apart from these, the following properties are also available, and may be useful
receives no heartbeats.
+
+ spark.worker.cleanup.enabled |
+ true |
+
+ Enable periodic cleanup of worker / application directories. Note that this only affects standalone
+ mode, as YARN works differently.
+ |
+
+
+ spark.worker.cleanup.interval |
+ 1800 (30 minutes) |
+
+ Controls the interval, in seconds, at which the worker cleans up old application work dirs
+ on the local machine.
+ |
+
+
+ spark.worker.cleanup.appDataTtl |
+ 7 * 24 * 3600 (7 days) |
+
+ The number of seconds to retain application work directories on each worker. This is a Time To Live
+ and should depend on the amount of available disk space you have. Application logs and jars are
+ downloaded to each application work dir. Over time, the work dirs can quickly fill up disk space,
+ especially if you run jobs very frequently.
+ |
+
spark.akka.frameSize |
10 |
@@ -586,30 +612,6 @@ Apart from these, the following properties are also available, and may be useful
Number of cores to allocate for each task.
-
- spark.worker.cleanup.enabled |
- true |
-
- Enable periodic cleanup of worker / application directories
- |
-
-
- spark.worker.cleanup.interval |
- 1800 (30 minutes) |
-
- Controls the interval, in seconds, at which the worker cleans up old application work dirs
- on the local machine.
- |
-
-
- spark.worker.cleanup.appDataTtl |
- 7 * 24 * 3600 (7 days) |
-
- The number of seconds to retain application work directories on each worker. This is a Time To Live
- and should depend on the amount of available disk space you have. Application logs and jars are
- downloaded to each application work dir. Over time, the work dirs can quickly fill up disk space,
- especially if you run jobs very frequently.
- |
## Viewing Spark Properties