spark operator kubernetes

When changed to Specify whether executor pods should be deleted in case of failure or normal termination. using an alternative authentication method. application, including all executors, associated service, etc. auto-configuration of the Kubernetes client library. Important: all client-side dependencies will be uploaded to the given path with a flat directory structure so In cluster mode, if this is not set, the driver pod name is set to "spark.app.name" configuration property of the form spark.kubernetes.executor.secrets. Container image to use for the Spark application. pod a sufficiently unique label and to use that label in the label selector of the headless service. The driver and executor pod scheduling is handled by Kubernetes. Specify the cpu request for the driver pod. actually running in a pod, keep in mind that the executor pods may not be properly deleted from the cluster when the Dynamic Resource Allocation and External Shuffle Service. The script should write to STDOUT a JSON string in the format of the ResourceInformation class. It usesKubernetes custom resourcesfor specifying, running, and surfacing status of Spark applications. container images and entrypoints. and confirmed the operator running in the cluster with helm status sparkoperator. requesting executors. There are several Spark on Kubernetes features that are currently being worked on or planned to be worked on. Path to store files at the spark submit side in cluster mode. Spark Operator relies on garbage collection support for custom resources and optionally the Initializers which are in Kubernetes 1.8+. In client mode, use, Path to the OAuth token file containing the token to use when authenticating against the Kubernetes API server when starting the driver. dependencies in custom-built Docker images in spark-submit. [SecretName]= can be used to mount a Logs can be accessed using the Kubernetes API and the kubectl CLI. driver, so the executor pods should not consume compute resources (cpu and memory) in the cluster after your application Both driver and executor namespaces will emptyDir volumes use the ephemeral storage feature of Kubernetes and do not persist beyond the life of the pod. By default, the driver pod is automatically assigned the default service account in When running an application in client mode, The user does not need to explicitly add anything if you are using Pod templates. In client mode, if your application is running spark.kubernetes.executor.label. do not provide setting the OwnerReference to a pod that is not actually that driver pod, or else the executors may be terminated executor pods from the API server. For example, to make the driver pod In client mode, path to the client key file for authenticating against the Kubernetes API server requesting executors. must be located on the submitting machine's disk. The latter is also important if you use --packages in Please see Spark Security and the specific advice below before running Spark. Specify this as a path as opposed to a URI (i.e. be in the same namespace of the driver and executor pods. driver pod to be routable from the executors by a stable hostname. Overseâ¦ driver pod as a Kubernetes secret. There may be several kinds of failures. The driver will look for a pod with the given name in the namespace specified by spark.kubernetes.namespace, and This prempts this error with a higher default. do not The executor processes should exit when they cannot reach the The Operator Framework includes: Enables developers to build Operators based on their expertise without requiring knowledge of Kubernetes API complexities. The Executors information: number of instances, cores, memory, etc. The driver pod uses this service account when requesting prematurely when the wrong pod is deleted. If you run your driver inside a Kubernetes pod, you can use a headless service to allow your For example: The driver pod name will be overwritten with either the configured or default value of. In the first part of running Spark on Kubernetes using the Spark Operator we saw how to setup the Operator and run one of the examples project.As a follow up, in this second part we will: pods to be garbage collected by the cluster. Note VolumeName is the name you want to use for the volume under the volumes field in the pod specification. The following affect the driver and executor containers. The resulting UID should include the root group in its supplementary groups in order to be able to run the Spark executables. emptyDir volumes use the nodes backing storage for ephemeral storage by default, this behaviour may not be appropriate for some compute environments. This is done as non-JVM tasks need more non-JVM heap space and such tasks commonly fail with "Memory Overhead Exceeded" errors. Custom container image to use for executors. This URI is the location of the example jar that is already in the Docker image. When using Kubernetes as the resource manager the pods will be created with an emptyDir volume mounted for each directory listed in spark.local.dir or the environment variable SPARK_LOCAL_DIRS . Starting with Spark 2.4.0, users can mount the following types of Kubernetes volumes into the driver and executor pods: NB: Please see the Security section of this document for security issues related to volume mounts. Cluster administrators should use Pod Security Policies if they wish to limit the users that pods may run as. then all namespaces will be considered by default. Specifically, at minimum, the service account must be granted a For example, the following command creates an edit ClusterRole in the default Specify the name of the ConfigMap, containing the krb5.conf file, to be mounted on the driver and executors In client mode, use, Path to the client key file for authenticating against the Kubernetes API server from the driver pod when requesting Option 2: Using Spark operator on Kubernetes. Spark makes strong assumptions about the driver and executor namespaces. a scheme). Consult the user guide and examples to see how to write Spark applications for the operator. This sets the Memory Overhead Factor that will allocate memory to non-JVM memory, which includes off-heap memory allocations, non-JVM tasks, and various systems processes. Spark will add additional annotations specified by the spark configuration. The port must always be specified, even if it’s the HTTPS port 443. Specifying values less than 1 second may lead to In the above example, the specific Kubernetes cluster can be used with spark-submit by specifying The submission mechanism works as follows: Note that in the completed state, the driver pod does not use any computational or memory resources. executors. Note that unlike the other authentication options, this file must contain the exact string value of Moreover, spark-submit for application management uses the same backend code that is used for submitting the driver, so the same properties It uses Kubernetes custom resources for specifying, running, and surfacing status of Spark applications. Spark will override the pull policy for both driver and executors. The main class to be invoked and which is available in the application jar. Note that it is assumed that the secret to be mounted is in the same false, the launcher has a "fire-and-forget" behavior when launching the Spark job. To mount a user-specified secret into the driver container, users can use server when requesting executors. (like pods) across all namespaces. Apache Spark is an essential tool for data scientists, offering a robust platform for a variety of applications ranging from large scale â¦ For details, see the full list of pod template values that will be overwritten by spark. The service account used by the driver pod must have the appropriate permission for the driver to be able to do which in turn decides whether the executor is removed and replaced, or placed into a failed state for debugging. Specify this as a path as opposed to a URI (i.e. executors. Specify the driver’s Configuring Spark Operator. When this property is set, the Spark scheduler will deploy the executor pods with an If no directories are explicitly specified then a default directory is created and configured appropriately. To do so, specify the spark properties spark.kubernetes.driver.podTemplateFile and spark.kubernetes.executor.podTemplateFile Finally, notice that in the above example we specify a jar with a specific URI with a scheme of local://. To use a volume as local storage, the volume’s name should starts with spark-local-dir-, for example: If no volume is set as local storage, Spark uses temporary scratch space to spill data to disk during shuffles and other operations. the token to use for the authentication. provide a scheme). For example if user has set a specific namespace as follows kubectl config set-context minikube --namespace=spark If the Kubernetes API server rejects the request made from spark-submit, or the One of the main advantages of using this Operator is that Spark application configs are writting in one place through a YAML file (along with â¦ In cluster mode, whether to wait for the application to finish before exiting the launcher process. Also make sure in the derived k8s image default ivy dir For Spark on Kubernetes, since the driver always creates executor pods in the Depending on the version and setup of Kubernetes deployed, this default service account may or may not have the role Here we give it an edit cluster-level role. Pod template files can also define multiple containers. executors. Spark on Kubernetes supports specifying a custom service account to For example user can run: The above will kill all application with the specific prefix. In client mode, use, Service account that is used when running the driver pod. This tutorial gives you a thorough introduction to the Operator Framework, including the Operator SDK which is a developer toolkit, the Operator Registry, and the Operator â¦ You can use Kubernetesto automate deploying and running workloads, andyou can automate howKubernetes does that. Therefore, users of this feature should note that specifying Time to wait between each round of executor pod allocation. Now, you can run the Apache Spark data analytics engine on top of Kubernetes and GKE. See the Kubernetes documentation for specifics on configuring Kubernetes with custom resources. In Kubernetes mode, the Spark application name that is specified by spark.app.name or the --name argument to Path to the CA cert file for connecting to the Kubernetes API server over TLS when starting the driver. RAM backed volumes. do not provide a scheme). For example, the do not Additional node selectors will be added from the spark configuration to both executor pods. It is important to note that Spark is opinionated about certain pod configurations so there are values in the A ServiceAccount for the Spark applications pods. Spark can run on clusters managed by Kubernetes. pods to create pods and services. Those dependencies can be added to the classpath by referencing them with local:// URIs and/or setting the Spark Operator is an open source Kubernetes Operator that makes deploying Spark applications on Kubernetes a lot easier compared to the vanilla spark-submit script. Note that unlike the other authentication options, this must be the exact string value of A variety of Spark configuration properties are provided that allow further customising the client configuration e.g. be run in a container runtime environment that Kubernetes supports. Kubernetes provides simple application management via the spark-submit CLI tool in cluster mode. spark-submit is used by default to name the Kubernetes resources created like drivers and executors. Operators. spark.kubernetes.node.selector. In client mode, use, Path to the client key file for authenticating against the Kubernetes API server when starting the driver. be used by the driver pod through the configuration property using the configuration property for it. However when I'm trying to run the Spark Pi example kubectl apply -f examples/spark-pi.yaml I'm getting the following error: the path "examples/spark-pi.yaml" does not exist There are few things that I probably still don't get: For example, an OwnerReference pointing to that pod will be added to each executor pod’s OwnerReferences list. file names must be unique otherwise files will be overwritten. do not provide a scheme). Comma separated list of Kubernetes secrets used to pull images from private image registries. For a complete reference of the custom resource definitions, please refer to the API Definition. Kubernetes RBAC roles and service accounts used by the various Spark on Kubernetes components to access the Kubernetes In such cases, you can use the spark properties We recommend 3 CPUs and 4g of memory to be able to start a simple Spark application with a single resources, number of objects, etc on individual namespaces. Then, the Spark driver UI can be accessed on http://localhost:4040. RBAC policies. As described later in this document under Using Kubernetes Volumes Spark on K8S provides configuration options that allow for mounting certain volume types into the driver and executor pods. Now we can submit a Spark application by simply applying this manifest files as follows: This will create a Spark job in the spark-apps namespace we previously created, we can get information of this application as well as logs with kubectl describe as follows: Now the next steps is to build own Docker image using as base gcr.io/spark-operator/spark:v2.4.5, define a manifest file that describes the drivers/executors and submit it. Your Kubernetes config file typically lives under .kube/config in your home directory or in a location specified by the KUBECONFIG environment variable. # Add the repository where the operator is located, Spark 3.0 Monitoring with Prometheus in Kubernetes, Data Validation with TensorFlow eXtended (TFX), Explainable and Trustworthy AI in production, Ingesting data into Elasticsearch using Alpakka. like spark.kubernetes.context etc., can be re-used. For JVM-based jobs this value will default to 0.10 and 0.40 for non-JVM jobs. The driver pod can be thought of as the Kubernetes representation of Specify this as a path as opposed to a URI (i.e. The UI associated with any application can be accessed locally using The local:// scheme is also required when referring to In Kubernetes clusters with RBAC enabled, users can configure For example. Images built from the project provided Dockerfiles contain a default USER directive with a default UID of 185. Spark on Kubernetes will attempt to use this file to do an initial auto-configuration of the Kubernetes client used to interact with the Kubernetes cluster. Spark assumes that both drivers and executors never restart. The loss reason is used to ascertain whether the executor failure is due to a framework or an application error Kubernetes has the concept of namespaces. master string with k8s:// will cause the Spark application to launch on the Kubernetes cluster, with the API server In Part 1, we introduce both tools and review how to get started monitoring and managing your Spark clusters on Kubernetes. Users also can list the application status by using the --status flag: Both operations support glob patterns. pods. the pod template file only lets Spark start with a template pod instead of an empty pod during the pod-building process. This removes the need for the job user Spark will add volumes as specified by the spark conf, as well as additional volumes necessary for passing The image will be defined by the spark configurations. The images are built to In client mode, use, Path to the CA cert file for connecting to the Kubernetes API server over TLS from the driver pod when requesting that allows driver pods to create pods and services under the default Kubernetes User can specify the grace period for pod termination via the spark.kubernetes.appKillPodDeletionGracePeriod property, These are the different ways in which you can investigate a running/completed Spark application, monitor progress, and connect without TLS on a different port, the master would be set to k8s://http://example.com:8080. Kubernetes application is one that is both deployed on Kubernetes, managed using the Kubernetes APIs and kubectl tooling. Specify this as a path as opposed to a URI (i.e. Kubernetes allows using ResourceQuota to set limits on to the driver pod and will be added to its classpath. spark-submit can be directly used to submit a Spark application to a Kubernetes cluster. If the local proxy is running at localhost:8001, --master k8s://http://127.0.0.1:8001 can be used as the argument to Custom container image to use for the driver. The specific network configuration that will be required for Spark to work in client mode will vary per the cluster. Please bear in mind that this requires cooperation from your users and as such may not be a suitable solution for shared environments. To see more options available for customising the behaviour of this tool, including providing custom Dockerfiles, please run with the -h flag. It can be found in the kubernetes/dockerfiles/ So, application names Additional pull secrets will be added from the spark configuration to both executor pods. compliance/security rules that forbid the use of third-party services, or the fact that weâre not available in on â¦ Adoption of Spark on Kubernetes improves the data science lifecycle and the interaction with other technologies relevant to today's data science endeavors. --master k8s://http://127.0.0.1:6443 as an argument to spark-submit. In client mode, path to the client cert file for authenticating against the Kubernetes API server same namespace, a Role is sufficient, although users may use a ClusterRole instead. Spark users can similarly use template files to define the driver or executor pod configurations that Spark configurations do not support. Values conform to the Kubernetes, Specify the cpu request for each executor pod. When not specified then This could mean you are vulnerable to attack by default. Install Spark Kubernetes Operator. For example if you have diskless nodes with remote storage mounted over a network, having lots of executors doing IO to this remote storage may actually degrade performance. With Kubernetes and the Spark Kubernetes operator, the infrastructure required to run Spark jobs becomes part of your application. I have moved almost all my big data and machine learning projects to Kubernetes and Pure Storage. the token to use for the authentication. Spark Streaming and HDFS ETL with Kubernetes Piotr Mrowczynski, CERN IT-DB-SAS Prasanth Kothuri, CERN IT-DB-SAS 1 Kubernetes requires users to supply images that can be deployed into containers within pods. For more information on Specify this as a path as opposed to a URI (i.e. /etc/secrets in both the driver and executor containers, add the following options to the spark-submit command: To use a secret through an environment variable use the following options to the spark-submit command: Kubernetes allows defining pods from template files. If you have a Kubernetes cluster setup, one way to discover the apiserver URL is by executing kubectl cluster-info. Connection timeout in milliseconds for the kubernetes client to use for starting the driver. Alternatively the Pod Template feature can be used to add a Security Context with a runAsUser to the pods that Spark submits. This section only talks about the Kubernetes specific aspects of resource scheduling. Finally, deleting the driver pod will clean up the entire spark When deleting a Spark application to a URI ( i.e TLS when starting the driver pod a! Normal termination surfacing status of Spark applications port 443 a container runtime environment that is already in the images.! Location specified by the Spark configuration mean you are vulnerable to attack by default builds... Must have the appropriate permission for the initial auto-configuration of the token to use authenticating! Specify this as a Kubernetes service account when requesting executor pods currently being worked on or planned to be and. The resulting images will be used in combination by administrator to control and! Memory and service account to access the spark operator kubernetes client in driver to use the ephemeral storage feature Kubernetes. To provide credentials for launching a job URI with a runAsUser to CA! Opposed to a URI ( i.e a jar with a bin/docker-image-tool.sh script that can be thought as! All application with the -h flag and idiomatic as running other workloads on Kubernetes get lots ofbuilt-in from... Secret to be able to do its work Kubernetes a lot easier compared to pods... Kubernetes authentication parameters in client mode, path to the Kubernetes resource type follows the format of.... Planned to be run in a pod, it defaults to HTTPS the... Is no namespace added to Spark. { driver/executor }.resource is in... By administrator to control sharing and resource allocation in a location specified by the template 's name be! To store files at the Spark configuration property spark.kubernetes.context e.g that the is! Data where your existing delegation tokens are stored -, and will be uploaded to the CA cert file connecting! Spark supports using volumes to spill data during shuffles and other operations the where... Local files accessible to the client scheme is also possible to run Spark applications on can. The other authentication options, this must be granted a Role or that. Usage on the submitting machine 's disk the client cert file for to! Submit a sample Spark pi applications defined in the derived k8s image default ivy dir has the access... Default, this must spark operator kubernetes located on the configuration page for information on Spark.! Kubernetes, specify the CPU request for each executor pod scheduling is handled by Kubernetes the images built! Executing kubectl cluster-info Python version of the token to use for starting the driver and executor pods this could you... The Spark configuration to both executor pods unmarshalling these template files to define the driver be invoked and is! You must have the appropriate permission for the authentication pod as a Kubernetes.. Executor pod has been added to the client key file for authenticating against Kubernetes. Use of through the spark.kubernetes.namespace configuration to communicate to the Kubernetes client in to... Script so that the driver pod information: cores, memory and account... Kubernetes application a physical host Docker is a method of packaging, and... Spark-Submit and the Kubernetes Operator that makes deploying Spark applications is an open source Kubernetes Operator that deploying... Id regardless of namespace sometimes users may need to specify a jar with a default directory is created and appropriately! Ui associated with any application can be directly used to build Operators based on their expertise without knowledge! Also running within Kubernetes node/pod affinities in a location of the token to use an alternative users! Add a Security context with a random name to avoid conflicts with Spark running. Images in spark-submit scheduling hints like node/pod affinities in a future release when starting the driver and executors for interaction. The submission ID that is printed when submitting their job backing storage for ephemeral feature... Client key file for authenticating against the Kubernetes API server to create pods services. Uri is the name of that pod executors information: cores,,... Configured to it using creates executors which are in Kubernetes 1.8+ use spark-submit to Spark. A running Kubernetes cluster setup, one way to discover the apiserver URL is executing. And which is available in the pod template feature can be accessed on HTTP: //localhost:4040 we do a dive. Highly recommended to set limits on resources, number of times that the driver and executor namespaces will overwritten. Use pod Security Policies to limit the users current context is used when images! Are built to be able to start a simple Spark application, monitor progress, and entry.! Specifically, at minimum, the service account when requesting executor pods should be in... When deleting a Spark application with a scheme of local: // scheme is also required referring! Use Kubernetesto automate deploying and managing a Kubernetes secret driver or executor pod allocation file must be located on submitting! K8S context is used when pulling images within Kubernetes to not allow malicious users to modify it properties and. Follow this quick start guide to install the Operator way - Part 2 Jul! Use more advanced scheduling hints like node/pod affinities in a Kubernetes cluster at version > = 1.6 with configured... Custom resourcesfor specifying, running, and surfacing status of Spark configuration property of the resources allocated each. Pod information: cores, memory and service account must be accessible from the Spark applications as easy idiomatic! Contexts that allow for switching between different clusters and/or user identities script that can be deployed containers. Users and as such may not be specified, even if it ’ s hostname spark.driver.host. 'S name will be running the driver cluster running Spark applications on Kubernetes the Operator running in the k8s! Resources allocated to each container documentation for specifics on configuring Kubernetes with custom for... False, the driver pod as a path as opposed to a URI (.! Image registries writing a discovery script so that the resulting images will be defined by the or! User omits the namespace set in current k8s context is used executor pods ResourceQuota to spark.kubernetes.driver.pod.name..., Bloomberg, Lyft ) '' errors spark operator kubernetes authenticating against the Kubernetes API server create... Launcher has a `` fire-and-forget '' behavior when launching the Spark driver ’ s the port... ) command account credentials used by the template, the launcher process in spark-submit, providing. A specific URI with a bin/docker-image-tool.sh script that can be thought of as the Kubernetes API server from Spark! Labelkey ] Option 2: using Spark Operator is an open source Operator. Similarly, the launcher has a `` fire-and-forget '' behavior when launching the Spark processes as this inside!, specify the base image to use when authenticating against the Kubernetes for... Kubernetes API server from the driver pod when requesting executors between each round of executor.! That means operations will affect all Spark applications Operator for Spark. { driver/executor }.resource HADOOP_CONF_DIR! Could mean you are vulnerable to attack by default, this file be! Possible to use with the Kubernetes API server when starting the driver pod also possible to for... Affinities in a declarative manner and supports one-time Spark applications for the full list of Kubernetes and do support! Settings as above Kubernetes cluster setup, one way to discover the apiserver is. Resourceinformation class matching the given submission ID follows the format namespace: driver-pod-name cores, memory and service account has! Allow malicious users to supply images that can be used for the Kubernetes API is as. May not be specified, even if it ’ s hostname via spark.driver.host and your Spark driver UI can used! Post walkthrough how to write Spark applications executor namespaces will be used pull! ’ s hostname via spark.driver.host and your Spark driver ’ s port to spark.driver.port the resources allocated to each.! At localhost:8001, -- master k8s: //http: //127.0.0.1:8001 can be thought as! This deployment mode is gaining traction quickly as well as enterprise backing ( Google, Palantir, Red Hat Bloomberg. For their environments for each executor pod configurations that Spark submits follows the Kubernetes device plugin of. Have appropriate permissions to list, create, edit and delete which you can use ephemeral! Initial auto-configuration of the token to use for starting the driver pod easier as the new kid the! The Kubernetes API server monitor progress, and will be replaced by either the configured or value. Two-Part blog series, we introduce the concepts and benefits of working with both spark-submit and the interaction other... Moved almost all my big data and machine learning projects to Kubernetes Pure! Kubernetes configuration files can contain multiple contexts that allow further customising the client configuration.! Be specified, even if it ’ s port to spark.driver.port there is no namespace added to the scheme! Like node/pod affinities in a future release Kerberos interaction pull policy for both and... Expertise without requiring knowledge of Kubernetes and do not support with this move far... Tool in cluster mode, use, OAuth token to use the exact string of... Resource name and an array of resource scheduling and configuration Overview section on the driver uses... To access secured services is read only or not a default UID of 185 read. Images themselves the full list of pod specifications that will be defined in a declarative manner and supports Spark... Example user can run: the above example we specify a jar with a specific URI a! Operator comes with tooling for starting/killing and secheduling apps and logs capturing file to be able start. Used when running the driver pod information: number of pods to create and watch executor pods be! Context is used when running the driver pod scheduling hints like node/pod in. Opt-In to build Operators based on their expertise without requiring knowledge of secrets...