Github user liyinan926 commented on a diff in the pull request:
https://github.com/apache/spark/pull/22433#discussion_r227067136
--- Diff: docs/running-on-kubernetes.md ---
@@ -340,6 +340,43 @@ RBAC authorization and how to configure Kubernetes
service accounts for pods, pl
[Using RBAC
Authorization](https://kubernetes.io/docs/admin/authorization/rbac/) and
[Configure Service Accounts for
Pods](https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/).
+## Running Spark Thrift Server
+
+Thrift JDBC/ODBC Server (aka Spark Thrift Server or STS) is Spark SQLâs
port of Apache Hiveâs HiveServer2 that allows
+JDBC/ODBC clients to execute SQL queries over JDBC and ODBC protocols on
Apache Spark.
+
+### Client Deployment Mode
+
+To start STS in client mode, excute the following command
+
+```bash
+$ sbin/start-thriftserver.sh \
+ --master k8s://https://<k8s-apiserver-host>:<k8s-apiserver-port>
+```
+
+### Cluster Deployment Mode
+
+To start STS in cluster mode, excute the following command
+
+```bash
+$ sbin/start-thriftserver.sh \
+ --master k8s://https://<k8s-apiserver-host>:<k8s-apiserver-port> \
+ --deploy-mode cluster
+```
+
+The most basic workflow is to use the pod name (driver pod name incase of
cluster mode and self pod name(pod/container from
--- End diff --
Yes, it might be rare to use this type of deployment on k8s, but it's still
possible, e.g., for testing, to run the STS in client mode on a client machine.
The wording here assumes that the server is running in a pod, which might not
be the case.
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