Spark Monitoring & Tuning

Apache Spark 2.2
  • 14 Videos | 55m 53s
  • Includes Assessment
  • Earns a Badge
Likes 18 Likes 18
Explore various ways to monitor Spark applications such as web UIs, metrics, and other monitoring tools, and examine memory tuning.

WHAT YOU WILL LEARN

  • access the web user interface
    use the Spark environment configuration parameters
    use JSON to query monitoring tools for Spark
    set JVM fractional memory amounts for Spark
    modify speculation controls for Spark tasks
    describe data serialization and the role it plays in the performance of Spark applications
    describe memory management and consumption
  • determine executor memory allocation
    describe garbage collection tuning
    set the level of parallelism
    use the broadcast functionality
    use query execution plan explainer
    implement data compression on parquet storage
    monitor Spark applications

IN THIS COURSE

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