How to Execute a Spark/Scala JAR Using spark-submit vs Running a Spark JAR with java -jar?

Question

What are the differences between executing a Spark/Scala JAR using spark-submit versus using java -jar?

spark-submit --class com.example.YourApp your-spark-app.jar

Answer

When running a Spark application, you have two prevalent options for executing your JAR file: using the "spark-submit" command or the Java "-jar" option. Each has its use cases, advantages, and configurations that suit different scenarios in Spark job deployments.

spark-submit --class com.example.YourApp --master spark://masterURL:7077 your-spark-app.jar

Causes

  • The two commands process the application differently, which can affect configuration, dependencies, and application resource management.
  • "spark-submit" integrates seamlessly with Spark's infrastructure, allowing for automatic resource allocation and execution on a cluster.
  • Using "java -jar" runs the JAR in a standalone Java environment, which may not fully utilize Spark's capabilities.

Solutions

  • Use "spark-submit" for optimal integration with Spark, allowing for better resource management and configuration options.
  • Utilize different parameters with "spark-submit" to specify the application class, master URL, and other runtime settings, improving flexibility and scalability.
  • Reserve "java -jar" for smaller-scale applications or testing where Spark's full capabilities are not required.

Common Mistakes

Mistake: Using the wrong configuration options that only apply to spark-submit.

Solution: Ensure that you are using spark-submit with appropriate flags to configure the master, executor memory, and other settings.

Mistake: Not specifying the main class when using spark-submit, leading to a runtime error.

Solution: Always include the --class parameter followed by the main class name when using spark-submit.

Mistake: Assuming that java -jar provides the same capabilities as spark-submit.

Solution: Understand that spark-submit manages Spark-specific parameters and optimizes execution for the Spark environment.

Helpers

  • Spark submit
  • Execute Spark JAR
  • Scala JAR execution
  • Java -jar Spark
  • Spark application deployment
  • Spark job submission

Related Questions

⦿How Can I Use a CSV File as a Database in Java?

Learn how to utilize a CSV file as a database in Java with stepbystep guidance and code examples.

⦿Best Practices for Using the Reserved Type Name 'var' in Java

Learn best practices for using the Java reserved type name var including common pitfalls and effective coding strategies.

⦿How to Handle HttpMediaTypeNotAcceptableException in a Spring Boot Controller Using @ExceptionHandler

Learn how to effectively catch HttpMediaTypeNotAcceptableException in Spring Boot using ExceptionHandler with expert tips and code snippets.

⦿How to Create an Installer for RCP Products in .exe or .msi Format

Learn how to create an installer for your RCP product in .exe or .msi format with a stepbystep guide and best practices.

⦿How to Resolve 'mvn test' Returning 0 Tests Run

Learn why mvn test shows 0 tests run and how to fix this common Maven issue effectively.

⦿How to Resolve Mocking Issues in Android UI Testing with Espresso, Mockito, Koin, and Kotlin?

Learn effective solutions for mocking problems in Android UI testing using Espresso Mockito Koin and Kotlin.

⦿How to Map a Projection Query to a DTO with a @ManyToMany @JoinTable Property Using JPQL

Learn how to effectively map a JPQL projection query to a DTO with a ManyToMany JoinTable property for optimal database interaction in Java applications.

⦿How to Transform a Three-Level Nested List into a Nested HashMap Using Java 8 Streams and Lambdas

Learn how to convert a threelevel nested list into a nested HashMap in Java 8 using streams and lambda expressions with detailed code examples.

⦿How to Download Files to Internal Storage Using Volley in Android Studio

Learn the steps to download files to internal storage in Android using Volley. Explore code examples and common mistakes.

⦿How to Consume the Last N Messages from Kafka Partitions in Spring?

Learn how to efficiently consume the last N messages from specific partitions in Kafka using Spring framework.

© Copyright 2025 - CodingTechRoom.com