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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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Forum Posts

JordanYaker
by Contributor
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Integration options for Databricks Jobs and DataDog?

I know that there is already the Databricks (technically Spark) integration for DataDog. Unfortunately, that integration only covers the cluster execution itself and that means only Cluster Metrics and Spark Jobs and Tasks. I'm looking for somethin...

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Hubert-Dudek
by Esteemed Contributor III
  • 1316 Views
  • 2 replies
  • 8 kudos

Databricks has added new metrics to its control panel, replacing the outdated Ganglia tool. These new metrics allow users to monitor the following clu...

Databricks has added new metrics to its control panel, replacing the outdated Ganglia tool. These new metrics allow users to monitor the following cluster performance metrics easily:- CPU utilization- Memory usage- Free filesystem space- Network traf...

Screenshot 2023-04-13 154026
  • 1316 Views
  • 2 replies
  • 8 kudos
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jose_gonzalez
Databricks Employee
  • 8 kudos

Thank you for sharing @Hubert Dudek​ !!!

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Archana
by New Contributor
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What are the metrics to be considered for monitoring the Databricks

I am very new to Databricks, just setting up with things. I would like to explore various features of Databricks and start playing around with the environment.I am curious to know what are the metrics should be considered for monitoring the complete ...

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jessykoo32
New Contributor II
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Databricks is a powerful platform for data engineering, machine learning, and analytics, and it is important to monitor the performance and health of your Databricks environment to ensure that it is running smoothly.Here are a few key metrics that yo...

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Lizzz
by New Contributor II
  • 3270 Views
  • 1 replies
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Resolved! Forward Spark structured streaming metrics to Datadog

We have a spark streaming application written in Pyspark that we'd like to monitor with Datadog. By default, datadog collects a couple of streaming metrics like 'spark.structured_streaming.processing_rate' and 'spark.structured_streaming.latency'. Ho...

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shan_chandra
Databricks Employee
  • 3 kudos

@Liz Zhang​ , Please refer to the below documentation contain pyspark implementation of streamingQueryListener https://www.databricks.com/blog/2022/05/27/how-to-monitor-streaming-queries-in-pyspark.html

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avinash_goje
by New Contributor II
  • 2644 Views
  • 2 replies
  • 2 kudos

How to send metrics from GCP Databricks to Grafana Cloud through Prometheus?

While connecting the Databricks and Grafana, I have gone through the following approach.Install Grafna Agent in Databrics Clusters from Databricks console --> Not working since the system is not booted with systemd as init systemSince Spark 3 has Pro...

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Hubert-Dudek
Esteemed Contributor III
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There is a repo with Prometheus gateway https://gist.github.com/Lowess/3a71792d2d09e38bf8f524644bbf8349. In the community, we usually use DataDog as both plays nicely https://docs.datadoghq.com/integrations/databricks/?tabs=driveronly

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jose_gonzalez
by Databricks Employee
  • 2404 Views
  • 3 replies
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How to check my streaming job's metrics?

I would like to know if there is a way to keep track of my running streaming job.

  • 2404 Views
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brickster_2018
Databricks Employee
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Streaming metrics are available/exposed mainly through 3 ways:Streaming UI, which is available from Spark 3/DBR 7Streaming listener/Observable metrics APISpark driver logs. Search for the string "Streaming query made progress". The metrics are logged...

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