[SPARK-27047] Document stop-slave.sh in spark-standalone

## What changes were proposed in this pull request? spark-standalone documentation do not mention about stop-slave.sh script ## How was this patch tested? Manually tested the changes Closes apache#23960 from ajithme/slavedoc. Authored-by: Ajith <[email protected]> Signed-off-by: Sean Owen <[email protected]>
kai-chi · Mar 6, 2019 · 190a3a4 · 190a3a4
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commit 190a3a4
Showing 1 changed file with 6 additions and 5 deletions.
diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md
@@ -85,12 +85,13 @@ If you do not have a password-less setup, you can set the environment variable S
 Once you've set up this file, you can launch or stop your cluster with the following shell scripts, based on Hadoop's deploy scripts, and available in `SPARK_HOME/sbin`:
 
 - `sbin/start-master.sh` - Starts a master instance on the machine the script is executed on.
-- `sbin/start-slaves.sh` - Starts a slave instance on each machine specified in the `conf/slaves` file.
-- `sbin/start-slave.sh` - Starts a slave instance on the machine the script is executed on.
-- `sbin/start-all.sh` - Starts both a master and a number of slaves as described above.
+- `sbin/start-slaves.sh` - Starts a worker instance on each machine specified in the `conf/slaves` file.
+- `sbin/start-slave.sh` - Starts a worker instance on the machine the script is executed on.
+- `sbin/start-all.sh` - Starts both a master and a number of workers as described above.
 - `sbin/stop-master.sh` - Stops the master that was started via the `sbin/start-master.sh` script.
-- `sbin/stop-slaves.sh` - Stops all slave instances on the machines specified in the `conf/slaves` file.
-- `sbin/stop-all.sh` - Stops both the master and the slaves as described above.
+- `sbin/stop-slave.sh` - Stops all worker instances on the machine the script is executed on.
+- `sbin/stop-slaves.sh` - Stops all worker instances on the machines specified in the `conf/slaves` file.
+- `sbin/stop-all.sh` - Stops both the master and the workers as described above.
 
 Note that these scripts must be executed on the machine you want to run the Spark master on, not your local machine.