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-rw-r--r--docs/configuration.md10
-rw-r--r--docs/spark-standalone.md8
2 files changed, 17 insertions, 1 deletions
diff --git a/docs/configuration.md b/docs/configuration.md
index a7054b4321..f1ca77aa78 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -198,6 +198,14 @@ Apart from these, the following properties are also available, and may be useful
</td>
</tr>
<tr>
+ <td>spark.worker.timeout</td>
+ <td>60</td>
+ <td>
+ Number of seconds after which the standalone deploy master considers a worker lost if it
+ receives no heartbeats.
+ </td>
+</tr>
+<tr>
<td>spark.akka.frameSize</td>
<td>10</td>
<td>
@@ -218,7 +226,7 @@ Apart from these, the following properties are also available, and may be useful
<td>spark.akka.timeout</td>
<td>20</td>
<td>
- Communication timeout between Spark nodes.
+ Communication timeout between Spark nodes, in seconds.
</td>
</tr>
<tr>
diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md
index bf296221b8..3986c0c79d 100644
--- a/docs/spark-standalone.md
+++ b/docs/spark-standalone.md
@@ -115,6 +115,14 @@ You can optionally configure the cluster further by setting environment variable
<td><code>SPARK_WORKER_WEBUI_PORT</code></td>
<td>Port for the worker web UI (default: 8081)</td>
</tr>
+ <tr>
+ <td><code>SPARK_DAEMON_MEMORY</code></td>
+ <td>Memory to allocate to the Spark master and worker daemons themselves (default: 512m)</td>
+ </tr>
+ <tr>
+ <td><code>SPARK_DAEMON_JAVA_OPTS</code></td>
+ <td>JVM options for the Spark master and worker daemons themselves (default: none)</td>
+ </tr>
</table>