How do I manage Spark JAR file dependencies with 'spark-submit'?

Understanding Spark JAR File Management with "spark-submit"

Adding JAR Files to a Spark Job

When submitting a Spark job using "spark-submit," you have multiple options for adding additional JAR files:

ClassPath

Options like "--driver-class-path" and "--spark.executor.extraClassPath" are used to modify the ClassPath. Adding a JAR to the ClassPath allows your code to find and load the classes within that JAR.

Separation Character

The separator for multiple JAR files in ClassPath settings depends on the operating system. On Linux, it's a colon (':'), while on Windows, it's a semicolon (';').

File Distribution

JAR files added via "--jars" or "SparkContext.addJar()" are automatically distributed to all worker nodes in client mode. In cluster mode, you need to ensure the JAR files are accessible to all nodes via an external source like HDFS or S3. "SparkContext.addFile()" is useful for distributing non-dependency files.

Accepted File URIs

"spark-submit" accepts JAR files using various URI schemes, including local file paths, HDFS, HTTP, HTTPS, and FTP.

Copying Location

Additional JAR files are copied to the working directory of each SparkContext on worker nodes, typically under "/var/run/spark/work."

Option Priority

Properties set directly on the SparkConf have the highest precedence, followed by flags passed to "spark-submit," and then options in "spark-defaults.conf."

Specific Option Roles

• --jars, SparkContext.addJar(): Adds JAR files but does not modify ClassPath.
• --driver-class-path, spark.driver.extraClassPath: Adds JAR files to the driver's ClassPath.
• --driver-library-path, spark.driver.extraLibraryPath: Modifies the driver's library path setting.
• **--conf spark.executor.extraClassPath`: Adds JAR files to the executor's ClassPath.
• **--conf spark.executor.extraLibraryPath`: Modifies the executor's library path setting.

Combining Options

In client mode, it's safe to use multiple options to add JAR files to both the driver and worker nodes. However, in cluster mode, you may need to use additional methods to ensure the JAR files are available to all worker nodes.

The above is the detailed content of How do I manage Spark JAR file dependencies with 'spark-submit'?. For more information, please follow other related articles on the PHP Chinese website!