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-rw-r--r-- | docs/spark-standalone.md | 11 |
1 files changed, 10 insertions, 1 deletions
diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md index ae7b81d5bb..5c6084fb46 100644 --- a/docs/spark-standalone.md +++ b/docs/spark-standalone.md @@ -257,7 +257,7 @@ To run an interactive Spark shell against the cluster, run the following command You can also pass an option `--total-executor-cores <numCores>` to control the number of cores that spark-shell uses on the cluster. -# Launching Compiled Spark Applications +# Launching Spark Applications The [`spark-submit` script](submitting-applications.html) provides the most straightforward way to submit a compiled Spark application to the cluster. For standalone clusters, Spark currently @@ -272,6 +272,15 @@ should specify them through the `--jars` flag using comma as a delimiter (e.g. ` To control the application's configuration or execution environment, see [Spark Configuration](configuration.html). +Additionally, standalone `cluster` mode supports restarting your application automatically if it +exited with non-zero exit code. To use this feature, you may pass in the `--supervise` flag to +`spark-submit` when launching your application. Then, if you wish to kill an application that is +failing repeatedly, you may do so through: + + ./bin/spark-class org.apache.spark.deploy.Client kill <master url> <driver ID> + +You can find the driver ID through the standalone Master web UI at `http://<master url>:8080`. + # Resource Scheduling The standalone cluster mode currently only supports a simple FIFO scheduler across applications. |