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In-cluster client mode #456
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@@ -65,7 +65,7 @@ For example, if the registry host is `registry-host` and the registry is listeni | |
docker push registry-host:5000/spark-driver:latest | ||
docker push registry-host:5000/spark-executor:latest | ||
docker push registry-host:5000/spark-init:latest | ||
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Note that `spark-base` is the base image for the other images. It must be built first before the other images, and then afterwards the other images can be built in any order. | ||
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## Submitting Applications to Kubernetes | ||
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@@ -182,10 +182,10 @@ is currently supported. | |
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### Running PySpark | ||
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Running PySpark on Kubernetes leverages the same spark-submit logic when launching on Yarn and Mesos. | ||
Python files can be distributed by including, in the conf, `--py-files` | ||
Running PySpark on Kubernetes leverages the same spark-submit logic when launching on Yarn and Mesos. | ||
Python files can be distributed by including, in the conf, `--py-files` | ||
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Below is an example submission: | ||
Below is an example submission: | ||
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``` | ||
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@@ -240,6 +240,38 @@ the command may then look like the following: | |
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## Advanced | ||
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### Running in-cluster client mode applications | ||
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While Spark on Kubernetes does not officially support client mode applications, such as the PySpark shell, there is a workaround that | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Suggest rephrasing as: "While Spark on Kubernetes does not support client mode applications, such as the PySpark shell, when launched from outside Kubernetes, Spark on Kubernetes does support client mode applications launched within the cluster. This in-cluster..." There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Agreed. |
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allows for execution of these apps from within an existing Kubernetes cluster. This _in-cluster_ client mode bypasses some of the networking and | ||
dependency issues inherent to running a client from outside of a cluster while allowing much of the same functionality in terms of interactive use cases. | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. interactive use cases like PySpark shell and Jupyter. |
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In order to run in client mode, use `kubectl attach` to attach to an existing driver pod on the cluster, or the following to run a new driver: | ||
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kubectl run -it --image=<driver image> --restart=Never -- /bin/bash | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. use There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Did not want to specify, but I see the benefit. |
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This will open up a shell into the specified driver pod from which you can run client mode applications. In order to appropriately configure | ||
these in-cluster applications, be sure to set the following configuration value for all applications, as in the following `spark-submit` example, | ||
which essentially tells the cluster manager to refer back to the current driver pod as the driver for any applications you submit: | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. nit; drop "essentially" |
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spark.kubernetes.driver.pod.name=$HOSTNAME | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. is there a reason There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. The way I worded it makes it seem like that is the case. I was going for making the user aware that Perhaps appending to "be sure to set the following configuration value" with "in all client-mode applications you run, either through There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. It is also in the example command, so maybe it is clear enough. Possibly add in "as in the following example spark-submit command" There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Amended for clarity. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Why is this parameter special compared to other spark kubernetes options you use below? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Specifying the driver pod's name tells the cluster manager that the application being submitted with this configuration should refer back to a pod in the k8s cluster with the provided name. See the validation and reference logic in the cluster scheduler backend class. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. By setting the driver pod name to the hostname of the user's pod, every application uses the user's pod as it's driver in client mode, thus meaning that a new driver pod isn't allocated. |
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With that set, you should be able to run the following example from within the pod: | ||
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bin/spark-submit \ | ||
--class org.apache.spark.examples.SparkPi \ | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. where is There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. It is default, but I'll include it to be more explicit. |
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--master k8s://$KUBERNETES_SERVICE_HOST:$KUBERNETES_SERVICE_PORT \ | ||
--kubernetes-namespace default \ | ||
--conf spark.app.name=spark-pi \ | ||
--conf spark.kubernetes.driver.pod.name=$HOSTNAME \ | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I wonder if pods can infer their own name via the environment? |
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--conf spark.kubernetes.driver.docker.image=kubespark/spark-driver:latest \ | ||
--conf spark.kubernetes.executor.docker.image=kubespark/spark-executor:latest \ | ||
--conf spark.dynamicAllocation.enabled=true \ | ||
--conf spark.shuffle.service.enabled=true \ | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I feel perhaps we should leave
` out of the example? these are not default or required when running k8s right? There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Agreed. |
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--conf spark.kubernetes.shuffle.namespace=default \ | ||
--conf spark.kubernetes.shuffle.labels="app=spark-shuffle-service,spark-version=2.1.0" \ | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more.
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Yup, will change later today. |
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local:///opt/spark/examples/jars/spark_examples_2.11-2.2.0.jar 10 | ||
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### Securing the Resource Staging Server with TLS | ||
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The default configuration of the resource staging server is not secured with TLS. It is highly recommended to configure | ||
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@@ -759,25 +791,25 @@ from the other deployment modes. See the [configuration page](configuration.html | |
</td> | ||
</tr> | ||
<tr> | ||
<td><code>spark.kubernetes.node.selector.[labelKey]</code></td> | ||
<td><code>spark.kubernetes.node.selector.[labelKey]</code></td> | ||
<td>(none)</td> | ||
<td> | ||
Adds to the node selector of the driver pod and executor pods, with key <code>labelKey</code> and the value as the | ||
Adds to the node selector of the driver pod and executor pods, with key <code>labelKey</code> and the value as the | ||
configuration's value. For example, setting <code>spark.kubernetes.node.selector.identifier</code> to <code>myIdentifier</code> | ||
will result in the driver pod and executors having a node selector with key <code>identifier</code> and value | ||
will result in the driver pod and executors having a node selector with key <code>identifier</code> and value | ||
<code>myIdentifier</code>. Multiple node selector keys can be added by setting multiple configurations with this prefix. | ||
</td> | ||
</tr> | ||
<tr> | ||
<td><code>spark.executorEnv.[EnvironmentVariableName]</code></td> | ||
<td><code>spark.executorEnv.[EnvironmentVariableName]</code></td> | ||
<td>(none)</td> | ||
<td> | ||
Add the environment variable specified by <code>EnvironmentVariableName</code> to | ||
the Executor process. The user can specify multiple of these to set multiple environment variables. | ||
</td> | ||
</tr> | ||
<tr> | ||
<td><code>spark.kubernetes.driverEnv.[EnvironmentVariableName]</code></td> | ||
<td><code>spark.kubernetes.driverEnv.[EnvironmentVariableName]</code></td> | ||
<td>(none)</td> | ||
<td> | ||
Add the environment variable specified by <code>EnvironmentVariableName</code> to | ||
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I agree it's probably best to limit this to in-cluster now, but generally speaking I don't see why we shouldn't allow client mode with the appropriate networking caveats. Some network configurations allow the pod network to be fully routable (e.g. Calico).
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I'm not sure how difficult it would be to detect pod network connectivity upon application submission. The logic would probably have to abstracted out to the cluster manager or one of the initial steps, and in that case, we would have to throw a validation error much later on in the process as we would need to allow client mode through unobstructed in SparkSubmit. Definitely feasible though.