Re: Databricks Spark Parallelism and Shuffle Partitions

Hi Erica, On your cluster details, you can click on "Advanced", and then set those parameters in the "Spark" tab. Hope that helps. Thanks, Subhash On Thu, Feb 4, 2021 at 5:27 PM Erica Lin wrote: > Hello! > > Is there a way to set spark.sql.shuffle.partitions > and spark.default.parallelism in

Databricks Spark Parallelism and Shuffle Partitions

Hello! Is there a way to set spark.sql.shuffle.partitions and spark.default.parallelism in Databricks? I checked the event log and can't find those parameters in the log either. Is it something that Databricks sets automatically? Thanks, Erica

Exporting all Executor Metrics in Prometheus format in K8s cluster

I’ve been trying to set up monitoring for our Spark 3.0.1 cluster running in K8s. We are using Prometheus as our monitoring system. We require both executor and driver metrics. My initial approach was to use the following configuration, to expose both metrics on the Spark UI: {

Re: Spark Event Log Forwarding and Offset Tracking

Thanks Jacek. Can you point me to some sample implementations of this that I can use as a reference? On Sun, Jan 17, 2021 at 10:09 PM Jacek Laskowski wrote: > Hi, > > > Forwarding Spark Event Logs to identify critical events like job start, > executor failures, job failures etc to ElasticSearch