If you have the hardware resources, it isn't difficult to set up Spark
in a kubernetes cluster. The online doc describes everything you would
need (https://spark.apache.org/docs/latest/running-on-kubernetes.html).
You're right, both AWS EMR and Google's environment aren't flexible and
not
My company has been exploring the Google Spark Operator for running Spark
jobs on a Kubernetes cluster, but we've found lots of limitations and
problems, and the product seems weakly supported.
Is there any official Apache option, or plans for such an option, to run
Spark jobs on Kubernetes? Is
Hello,
We run our spark workloads on spot and we would like to quantify the impact
of spot interruptions on our workloads. We are proposing the following
metric but would like your opinions on it
We are leveraging Spark's Event Listener and performing the following
T = task
T1 =
Hi everyone,
In *Spark SQL* there are several timestamp related functions
- unix_micros(timestamp)
Returns the number of microseconds since 1970-01-01 00:00:00 UTC.
- unix_millis(timestamp)
Returns the number of milliseconds since 1970-01-01 00:00:00 UTC.
Truncates higher levels
