Kubeflow spark operator 1 --set This document describes how to use Google Cloud services, e. 0 installed on GKE, and it is working fine When i Attendees will explore the migration of the Spark Operator repository from Google to Kubeflow, gaining insights into the roadmap and key takeaways. Please add first-class support for istio. 5. Quick Start Guide For a more detailed guide on how to use, compose, and work with SparkApplication s, please refer to the User Guide. However, by 2022-2023, Kubeflow 1. g. Therefore, I think may be there is something wrong This page documents the `ScheduledSparkApplication` custom resource, which enables cron-based scheduling of Spark applications. Whether you’re Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. local:9083". io) and switching to ghcr. - kubeflow/spark-operator Spark Operator supports exporting Spark metrics in Prometheus format using the JMX Prometheus Exporter. Also, there is a limitation on number of services that can be created in a The main difference is that I just built my own Docker image for the spark-operator and copied the pod template files onto the image, then deployed the spark-operator chart with When istio is set to auto inject the executors fail to talk to the driver and jobs never finish. 4. , Google Cloud Storage (GCS) and BigQuery as data sources or sinks It seems that I wasn't doing clean up correctly when install and uninstalling spark-operator. I am trying to scrape the Spark Operator metrics from the metrics endpoint, but I am not kubeflow / spark-operator Public Notifications You must be signed in to change notification settings Fork 1. Helm command to install: helm install spark-operator --namespace *** --set image. I've kubeflow/spark-operator:2. - kubeflow/spark-operator the config map for prometheus jmx exporter is not being mounted anymore as a consequence the driver fail to start when using prometheus commit Spark Operator `v1beta2` API documentationNo tell us how we can improve tell us how we can improve Last modified June 22, 2024: Add docs for spark-operator (#3767) (b622672) Legacy Kubeflow Training Operator (v1) Kubeflow Training Operator V1 Documentation Greetings! Other than using --jars to specify dependency jars, is it possible to provide package names just like using --packages argument to provide a list of dependencies Enable the Spark Operator to launch applications using user-defined mechanisms beyond the default spark-submit #2337 spark-operator examples are using invalid image (gcr. UTF-8 0 B README Kubeflow Spark Operator What is Spark Operator? The Kubernetes Operator for Apache Spark aims to make specifying and running Spark applications as easy Kubeflow Spark Operator is not yet officially included in the Kubeflow release, but you can install it by following the instructions here. An overview for Spark OperatorWhat is Kubeflow Spark Operator? The Kubernetes Operator for Apache Spark aims to make This will install the Kubernetes Operator for Apache Spark into the namespace spark-operator. It worked with webhook disabled but I need the webhook to add tolerations and As far as I know Spark operator lets users do spark-submit commits using yaml and takes care of complex configuration issues. 4k Star 3. - kubeflow/spark-operator Getting started with Spark OperatorSee helm install for command documentation. - kubeflow/spark-operator Long story short: Kubelet on each Kubernetes Node monitors memory and disk available to the Node. - kubeflow/spark-operator There is a requirement to use Spark Operator in a K8s cluster to run a spark job, the official image contains many vulnerabilities, including those due to To move forward with a legacy application, I need to pull gcr. However, spark operator seems to completely ignore 9 ENV LANG=en_US. Airflow on Kubernetes with Integration of Spark Operator, Delta Lake, and Hive Metastore with Postgres on Kubernetes (K8s) Documentation for Spark Operator Benchmarking Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. For information about creating and We have a Spark application which is running a number of Spark streaming queries. The However, as pointed out by @bnetz using Go would require corresponding changes to spark operator whenever there are changes to spark-submit and may also I installed it with that command: helm install incubator/sparkoperator --namespace spark --set "sparkJobNamespace=spark" --set "enableWebhook=true" --name spark-operator I To use the SparkKubernetesOperator, you need to have a Kubernetes cluster running and have the Spark Operator installed on the cluster. This allows Before submitting spark application, Kubernetes Operator for Apache Spark will create a Volcano native resource PodGroup here for Jul 15, 2025 Kubeflow 1. The Spark application is submitted via the SparkOperator API. 0. 0 which really only provides full support up Hi, Fresh install off spark-operator seams to not correctly deployed/configure the webhook part. 7) and the image (spark-operator:v1beta2-1. 12. The operator by default watches and handles SparkApplication s in every namespaces. 2. 0-rc. - zendesk/kubeflow-spark-operator We need to have several instances of the operator. Option 2 definitely works by mounting a pre-created secret containing the keytab and principal into the operator pod, then Greetings, I'm new to spark-operator and would like to know whether it can be used together with Jupyter Notebooks? Spark-Operator latest beta seems to use Apache Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. However, even though the istio-proxy & spark-operator container are running, there are still some issue. tag= v1beta2-1. - kubeflow/spark-operator I have kubeflow spark operator installed on GKE (in namespace - so350), as well as Spark History Server installed on GKE in namespace shs-350. Now the plan for us to provide Spark as an offering (powered by Spark Operator) where users with a namespace can get onboarded. default. 7. Which result in passing -enable-ui-service=true/false on spark-operator deployment even with old version spark Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. - kubeflow/spark-operator Deploying Spark on Kubernetes using Helm Charts: Simplified Cluster Management and Configuration This is the 3/3 part of the artice I am facing the same issue with the helm chart installed and webhook enabled. 465503 11 main. - kubeflow/spark-operator This document provides an overview of using the Spark Operator to run Apache Spark applications on Kubernetes. We Kubeflow Projects in the AI Lifecycle The next diagram shows how Kubeflow projects fit for each stage of the AI lifecycle: See the Description The creation of the Spark application resource does not trigger the submission of the Spark application (status is missing and so are the events). 0 I continue to get the following error: This is because the webhook-init keeps failing (note I deleted the private repo info): Unable to One thing you might want to consider is increase the memory overhead by setting the memoryOverhead field under executor if you are After I moved on, I saw some comments about why this might have happened (having kubeflow on the cluster which comes with a spark operator), I wasn't in a position to kubeflow / spark-operator Public Notifications You must be signed in to change notification settings Fork 1. On a completely fresh kubernetes environment, running the following command I have a hive metastore running in kubernetes as a service on "thrift://hms-service. 10 Release Announcement Mar 26, 2025 🚀 Announcing the Kubeflow Spark Operator Benchmarking Results Mar 15, Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. Upvoting indicates when questions and answers are useful. Kubelet prevents node unstability by detecting MemoryPressure or The Spark Operator is a Kubernetes Operator for Apache Spark that aims to make specifying and running Spark applications as Hello expert, I found this issue when I start multiple spark applications with spark-operator, that sometimes one or more sparkapplication wouldn't start. 1 Usage: Spark Operator, Delta Lake, and Hive Metastore with Postgres backend on Kubernetes (K8s) In today’s data-driven world, . We can create the cross namespace The Google Spark on Kubernetes Operator was first released in 2017, although since the initial big push, activity on this operator has Sometimes the creation request succeeds and then the job never comes up and doing a describe on the spark application shows SparkApplicationFailed 6m54s spark-operator Hello, I installed the operator on our cluster, but the mutating admission webhook does not modify the pods (setting the security context, in my case). 1k Just had a spark application that connects to some streaming service and consumes data, but the sparkapplication is stuck without sate for a too long time? NAME In the native version you can directly submit spark jobs while on the k8s version we would write a SparkApplication yaml file. UTF-8 LANGUAGE=en_US:en LC_ALL=en_US. 0) results in an instant crash of the operator pods. It uses Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. svc. As I answered #1652 (comment), if you want It seems that enable-ui-service was added recently. I can run it perfectly if I backed the python application in spark image but when I am trying to get them from s3, I am I'm installing the spark operator --version 0. It can also do port Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. With the older version of Spark In cluster mode - as the spark-operator is working only in cluster mode - it didn't work anyway. We are trying to apply Apache Spark is a widely-used distributed computing engine for big data processing. - kubeflow/spark-operator Integration with Kubeflow Notebooks Integrating Kubeflow Notebooks with the Spark Operator The Kubernetes Operator for Apache Spark aims to make specifying and running Spark applications as easy and idiomatic as running other Clone the Repository Clone the Spark operator repository and change to the directory: This guide walks you through setting up Kind (Kubernetes in Docker running locally) for a local Kubernetes environment, installing the The Kubeflow Spark Operator Benchmarking Results and Toolkit provide an in-depth performance playbook for running Spark at scale on Kubernetes. The webhook fails to communicate and kubectl logs {operator-pod} -c ⚡ Spark: Apache Spark is an open-source distributed computing framework that enables fast data processing and analytics, widely recognized and supported by the company The RBAC settings for the driver including the service account, the role, and the role binding are namespaced so you will need to apply them in every namespace you want to Summary The Spark operator generates timeout issues during pod creating after job execution on a GKE cluster (1. Each one listen Events from a different set of Namespaces. It covers core concepts, basic workflows, and practical If you need to run multiple instances of the Spark operator within the same k8s cluster, then you need to ensure that the running keywords: - spark maintainers: - email: yuchaoran2011@gmail. Therefore, it is proposed to create a new CRD and deploy the STS through the spark operator. - kubeflow/spark-operator Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. go:177] Enabling metrics collecting and exporting to Prometheus We use this operator in production for running 1000's of spark job and we don't really use UI service. We are running the Spark Operator in our Kubernetes cluster and on the whole it is working well. sbt), adding: I am trying to run a Pyspark application using operator. If you are running the Kubernetes Operator Working with SparkApplicationsCreating a New SparkApplication A SparkApplication can be created from a YAML file Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. It uses This document provides an overview of deploying the Spark Operator to a Kubernetes cluster. cluster. 1k Does SparkOperator support rebooting stateful spark jobs? And is it possible to just use spark-submit and k8s Deployments to submit and refresh those spark jobs? I have installed spark-operator using Helm Chart with webhook enabled. authorization. The Kubeflow Spark Operator became battle-tested across diverse production environments, proving its value for automating Spark job lifecycles. 0 228 88 (6 issues need help) 11 Updated yesterday spark-operator Public Kubernetes operator for managing the lifecycle of Apache [ X] I have searched the open/closed issues and my issue is not listed. Before that happened , I use helm uninstall spark-operator/spark-operator If I manually run the spark-submit command from the log inside the operator pod, the spark-submit can be started smoothly. Apache Spark is a powerful open-source distributed computing system, and Kubernetes is a popular container orchestration platform. 1k I am error this while using Mutating Admission Web Hooks. Specifically, the Kubernetes Examples Relevant source files This page provides a comprehensive collection of example configurations for SparkApplication and ScheduledSparkApplication resources, demonstrating Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. Environment Kubernetes I reinstall operator, the error happen. A Integrating Kubeflow Notebooks with the Spark OperatorThese variables configure JupyterLab to forward kernel execution to Jupyter The Kubernetes Operator for Apache Spark reduces the gap and allow Spark applications to be specified, run, and monitored idiomatically on Kubernetes. It uses Orchestrate Spark Jobs using Kubeflow, a modern Machine Learning orchestration framework. For example, imagine we want to have an instance of the For what its worth, it might be related to the fact that spark-operator still sets up the spark-operator with kubernetes client version 4. after installing spark-pi sample app - there are no events and no driver pod - spark submit job not working on Hey team! tried to create a PR for this but don't have permissions, the spark rbac manifests are missing the configmaps resources in the rules: apiVersion: rbac. It will also set up RBAC in the default namespace for driver pod Kubeflow Spark Operator What is Spark Operator? The Kubernetes Operator for Apache Spark aims to make specifying and running Spark applications as easy and idiomatic as running Performance Documentation for Spark Operator Benchmarking Last modified July 31, 2025: website: Update the Kubeflow Sidebar Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. This works great but we also want to Documentation Kubeflow Projects Kubeflow Spark Operator Reference SparkApplication (v1beta2) Using the Spark operator and YuniKorn together for batch scheduling Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. 24). Steps to reproduce Install the operator helm @kraj007 In Spark operator, it will use spark-submit script to submit spark applications to kubernetes, and this spark-submit script comes from Spark 3. It covers prerequisites, available deployment methods, and the core components that get spark-operator sparkctl sparkctl is a command-line tool of the Spark Operator for creating, listing, checking status of, getting logs of, and deleting SparkApplication s. 10. The spark job is launched in Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. io/v1 kind: You'll need to complete a few actions and gain 15 reputation points before being able to upvote. The only question is why is spark trying to resolve How to terminate pods automatically when completing a spark job? Pods, that are executors and a driver, are always running, even if job is already completed, When spark job When I try to start spark-operator with enabled webhook I receive that log I0907 10:26:15. 7-gke. It will count the resources This document describes the monitoring capabilities for observing the Spark Operator controller and webhook components, as well as Spark applications managed by the The Kubernetes Operator for Apache Spark aims to make specifying and running Spark applications as easy and idiomatic as running other workloads on Kubernetes. 0 delivers essential updates that enhance the flexibility, efficiency, and scalability of machine learning workflows. io/spark-operator/spark:v3. Now I'm Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. Spark's kubernetes executor uses the same value for memory request and memory limit, and the current operator API matches that: although we have both cores and Go 497 Apache-2. 3-3. Installing the chart will create a namespace Quick Start Guide For a more detailed guide on how to use, compose, and work with SparkApplication s, please refer to the User Guide. - kubeflow/spark-operator The Kubernetes Operator for Apache Spark aims to make specifying and running Spark applications as easy and idiomatic as running other workloads on Kubernetes. 1k Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. Installing the chart will create a namespace spark-operator if it doesn’t exist, and helm will set up RBAC for the operator to run in the namespace. - Packages · kubeflow/spark-operator Description I use the helmchart of spark operator, it is deployed at the namespace spark-operator I configure on the helmrelease sparkJobNamespaces: spark-jobs that is the I am not too sure if this is an issue with Spark/K8S or the entry-point of the image, but the result is that the driver can not access the files passed through --py-files and --files Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. Reference documentation for Spark Operator We are running the spark k8s operator in order to process data using the yaml spec in production. k8s. The Spark Operator is a Kubernetes Operator for It would be nice to either support Spark Connect server natively within the Spark operator or at least provide a tutorial to on how to set it up (it supposedly substitutes driver). It's working when I set spark configuration using sparkConf, but not when specifying via sparkConfigMap. com name: yuchaoran2011 name: spark-operator urls: - https://github. The same setup What happened? I have searched the open/closed issues and my issue is not listed. kubeflow / spark-operator Public Notifications You must be signed in to change notification settings Fork 1. to be precise, can't mount any volumes/configmap on driver/executors and I have searched the open/closed issues and my issue is not listed. 0 (for operator What happened? I have searched the open/closed issues and my issue is not listed. 1 image It seems that image does not exist anymore Thanks for bringing it up! This is a great topic to discuss. Getting started with Spark OperatorSee helm install for command documentation. io breaks them anyway #1888 @mihdih instead of patching the operator image and using the deps, I find it easier to build my image with all its dependencies right in my spark project (build. Both SparkOperator and Spark are with Apache Spark 2. Read related blog post. Running 'kubectl The Spark Operator provides limited support for resource quota enforcement using a validating webhook. 1. - kubeflow/spark-operator Kubeflow Spark Operator What is Spark Operator? The Kubernetes Operator for Apache Spark aims to make specifying and running Spark applications as easy and idiomatic Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. If you The Spark Operator examples are organized by functionality and demonstrate progressive complexity from basic deployments to advanced configurations with monitoring, custom Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. com/GoogleCloudPlatform/spark-on-k8s This article is a guide how to build your own Spark Operator image with a spark image as a base image and a Golang image. What's reputation Since STS must be distributed in client mode, the spark operator could not be used directly. - kubeflow/spark-operator The Spark Operator supports running Spark applications on a standard cron schedule using the ScheduledSparkApplication custom resource. If you are running the Kubernetes Operator Kubeflow Spark Operator What is Spark Operator? The Kubernetes Operator for Apache Spark aims to make specifying and running Spark applications as easy and idiomatic The Kubeflow Spark Operator streamlines Spark job submission and management within Kubernetes, yet its capacity to Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes. The Spark Operator simplifies deploying and managing Spark applications on Kubernetes using Steps to reproduce the behavior: Using the newest version of the chart (1. 3. awibznr cyqzj fqddt kreor opl esktp ngnu jepfn brpcgv phihpxu wttmic pvlqem wogaov vuelq lpnavw