This extends Remotely debugging Spark submit Jobs in Java. Running Spark in local mode When you run Spark in local mode, both the Driver and Executor will be running in the same JVM and is very handy to debug the logic of your transformations. … Read more ›...
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Home › Java › 16+ Java Key Areas Interview Q&As for the experienced & architects › Key Area - Debugging › Archive for Key Area – Debug Spark
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Finding your way around YARN and Spark on Cloudera
What is Apache Hadoop YARN? Apache Hadoop YARN (Yet Another Resource Negotiator) is the prerequisite for Enterprise Hadoop for dynamic allocation oc the cluster resources. For example, when you run a Spark job on YARN as opposed to in standalone mode, you can will take advantage of categorizing, isolating, and...
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Login Register 100+ Free Java interview FAQs 100+ Free Big Data interview FAQsRemotely debugging Spark submit Jobs in Java
This extends Remote debugging in Java with Java Debug Wire Protocol (JDWP) to debug Spark jobs written in Java. We need to debug both the “Driver” and the “Executor“.
Debugging the Spark Driver in Java
Step 1: Run the Spark submit job in the remote machine,
…
Spark understanding DAG for tuning performance interview Q&As
This extends 15 Apache Spark best practices & performance tuning interview FAQs to delve into DAGs, Stages, Tasks, Partitions and Shuffling in Spark. If you can’t read Spark Event Timelines & DAGs, you will be running blind as to how efficient your code is. … Read more ›...
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