delight
spark-operator
delight | spark-operator | |
---|---|---|
2 | 8 | |
332 | 2,613 | |
0.0% | 0.8% | |
1.2 | 8.2 | |
about 1 year ago | 2 days ago | |
Scala | Go | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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delight
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The New & Improved Spark UI & Spark History Server is now Generally Available
We encourage you to try it out! Sign up, follow the installation instructions on our github page, and let us know your feedback over email (by replying to the welcome email) or using the live chat window in the product.
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Public Release of Delight - A Spark UI complement with CPU & Memory metrics that will Delight you! Works for free on top of ANY Spark platform. Install our open-source agent and try it out!
Follow our Github https://github.com/datamechanics/delight or my LinkedIn https://www.linkedin.com/in/jystephan/ for updates.
spark-operator
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Dependency issue with Pyspark running on Kubernetes using spark-on-k8s-operator
I have spent days now trying to figure out a dependency issue I'm experiencing with (Py)Spark running on Kubernetes. I'm using the spark-on-k8s-operator and Spark's Google Cloud connector.
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Experience setting up Spark and Hudi on Kubernetes
We're using https://github.com/bitnami/charts/tree/main/bitnami/spark, but I have heard good things about https://github.com/GoogleCloudPlatform/spark-on-k8s-operator as well. Hudi should not need any long running deployments as per the docs https://hudi.apache.org/docs/0.5.1/deployment/#deploying
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[Spark-k8s] — Getting started # Part 1
The SparkOperator must be installed before we can use Spark on Kubernetes. Google created this operator, which is available on Github. In a nutshell, the operator is in charge of monitoring the cluster for specific events related to the spark job, as known as kind: SparkApplication
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So many sparks on K8s... Could anyone give me a few explanations please ?
Spark-Operator (as I understand, Spark-Operator integrates well with K8s while vanilla Spark integration with K8s seems extremely complex to maintain)
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"Running Apache Spark on EKS Fargate"
Spark on K8s Operator is a project from Google that allows submitting spark applications on Kubernetes cluster using CustomResource Definition SparkApplication. It uses mutating admission webhook to modify the pod spec and add the features not officially supported by spark-submit.
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My Journey With Spark On Kubernetes... In Python (1/3)
In this section, you use Helm to deploy the Kubernetes Operator for Apache Spark from the incubator Chart repository. Helm is a package manager you can use to configure and deploy Kubernetes apps.
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My Journey With Spark On Kubernetes... In Python (2/3)
Additional details of how SparkApplications are run can be found in the design documentation.
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Gopher Gold #14 - Wed Oct 07 2020
GoogleCloudPlatform/spark-on-k8s-operator (Go): Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
What are some alternatives?
Spark Utils - Basic framework utilities to quickly start writing production ready Apache Spark applications
volcano - A Cloud Native Batch System (Project under CNCF)
sparkMeasure - This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spark jobs. It focuses on easing the collection and examination of Spark metrics, making it a practical choice for both developers and data engineers.
trojan-go - Go实现的Trojan代理,支持多路复用/路由功能/CDN中转/Shadowsocks混淆插件,多平台,无依赖。A Trojan proxy written in Go. An unidentifiable mechanism that helps you bypass GFW. https://p4gefau1t.github.io/trojan-go/
dblink - Distributed Bayesian Entity Resolution in Apache Spark
helm-operator - Successor: https://github.com/fluxcd/helm-controller — The Flux Helm Operator, once upon a time a solution for declarative Helming.
rfc8312bis - Revision of RFC8312 "CUBIC for Fast Long-Distance Networks"
enhancements - Enhancements tracking repo for Kubernetes
netapp-dataops-toolkit - The NetApp DataOps Toolkit is a Python library that makes it simple for developers, data scientists, DevOps engineers, and data engineers to perform various data management tasks, such as near-instantaneously provisioning, cloning, or snapshotting a data volume or JupyterLab workspace.
kubebuilder - Kubebuilder - SDK for building Kubernetes APIs using CRDs
helm - The Kubernetes Package Manager [Moved to: https://github.com/helm/helm]
flink-on-k8s-operator - Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.