# Batch Jobs for SparkClient: Submitting and Managing Spark Workloads from Python

DevFeed: [Batch Jobs for SparkClient: Submitting and Managing Spark Workloads from Python](<https://devfeed.tech/articles/batch-jobs-for-sparkclient-submitting-and-managing-spark-workloads-from-python-17614.md>)

Original publisher: [Read original article](<https://blog.kubeflow.org/sdk/spark-batch-jobs/>)

Author: Sameer Yadav

Published: 2026-07-25T05:00:00Z

Content type: tutorial

Language: en

Sources: [Kubeflow](<https://devfeed.tech/sources/kubeflow.md>)

Topics: [Apache Spark](<https://devfeed.tech/topics/spark.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>), [Python](<https://devfeed.tech/topics/python.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>)

Tags: [batch](<https://devfeed.tech/tags/batch.md>), [cleanup](<https://devfeed.tech/tags/cleanup.md>), [gsoc](<https://devfeed.tech/tags/gsoc.md>), [jobs](<https://devfeed.tech/tags/jobs.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [logs](<https://devfeed.tech/tags/logs.md>), [pipelines](<https://devfeed.tech/tags/pipelines.md>), [python](<https://devfeed.tech/tags/python.md>), [scheduled](<https://devfeed.tech/tags/scheduled.md>), [sdk](<https://devfeed.tech/tags/sdk.md>), [spark](<https://devfeed.tech/tags/spark.md>)

## AI overview

This tutorial explains how the Kubeflow SDK's SparkClient supports submitting and managing batch Spark workloads on Kubernetes from Python. It covers script- and function-based jobs, lifecycle operations, log retrieval, cleanup, and the implementation's current boundaries.

## Source excerpt

How the SparkClient SDK's new batch job APIs work under the hood -- submit_job(), FileJob/FuncJob, the lifecycle APIs, and log retrieval.