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
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
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 \