Hi,
In the following under Spark Kubernetes configuration <https://spark.apache.org/docs/latest/running-on-kubernetes.html#configuration>, it states spark.kubernetes.container.image, default None, meaning:Container image to use for the Spark application. This is usually of the form example.com/repo/spark:v1.0.0. *This configuration is required and must be provided by the user, unless explicit images are provided for each different container type.* I interpret this as if you specify both the driver and executor container images, then you don't need to specify the container image itself. However, if both the driver and executor images are provided with NO container image, the job fails. Spark config: (*spark.kubernetes.driver.docker.image,* eu.gcr.io/axial-glow-224522/spark-py:3.1.1-scala_2.12-8-jre-slim-buster-container ) (*spark.kubernetes.executor.docker.image*, eu.gcr.io/axial-glow-224522/spark-py:3.1.1-scala_2.12-8-jre-slim-buster-container ) Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties 21/12/10 08:24:03 INFO SparkKubernetesClientFactory: Auto-configuring K8S client using current context from users K8S config file *Exception in thread "main" org.apache.spark.SparkException: Must specify the driver container image* Sounds like that regardless you still have to specify the container image explicitly HTH view my Linkedin profile <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction.
