Hello all,
I am using Spark 2.x streaming with kafka.
I noticed that spark streaming is processing subsequent micro-batches in case
of failure as it takes a while to notify the driver about the error and
interrupt streaming-executor thread. This is creating a problem as we are
checkpointing the
Hi Team,
I am using Spark 2.x streaming with kafka.
I noticed that spark streaming is processing subsequent micro-batches in case
of failure as it takes a while to notify the driver about the error and
interrupt streaming-executor thread. This is creating problem as we are
checkpointing the off
Hi,
Maybe someone can shed some light on this.
Running Pyspark job in minikube.
Because it is PySpark the following two conf parameters are used:
spark-submit --verbose \
--master k8s://$K8S_SERVER \
--deploy-mode cluster \
--name pytest \