Optional. HCFS URIs of archives to be extracted into the working directory
of each executor. Supported file types:
.jar, .tar, .tar.gz, .tgz, and .zip.
Optional. The arguments to pass to the driver. Do not include arguments
that can be set as batch properties, such as --conf, since a collision
can occur that causes an incorrect batch submission.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[[["\u003cp\u003eThe latest version available for the Google Cloud Dataproc v1 API class PySparkBatch is 5.17.0, and multiple previous versions, ranging from 3.1.0 to 5.16.0, are also documented.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003ePySparkBatch\u003c/code\u003e class is used for configuring Apache PySpark batch workloads within the Google Cloud Dataproc environment, as shown through the use of this class in the .NET library.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003ePySparkBatch\u003c/code\u003e class implements interfaces such as \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e and it inherits from the \u003ccode\u003eobject\u003c/code\u003e class.\u003c/p\u003e\n"],["\u003cp\u003eKey properties within the \u003ccode\u003ePySparkBatch\u003c/code\u003e class include \u003ccode\u003eMainPythonFileUri\u003c/code\u003e, \u003ccode\u003eArchiveUris\u003c/code\u003e, \u003ccode\u003eArgs\u003c/code\u003e, \u003ccode\u003eFileUris\u003c/code\u003e, \u003ccode\u003eJarFileUris\u003c/code\u003e, and \u003ccode\u003ePythonFileUris\u003c/code\u003e, which allow users to define various parameters for their PySpark batch jobs, such as file locations, arguments, and archive files.\u003c/p\u003e\n"],["\u003cp\u003eThe main file type for this class is \u003ccode\u003e.py\u003c/code\u003e, and the supported archive file types are \u003ccode\u003e.jar\u003c/code\u003e, \u003ccode\u003e.tar\u003c/code\u003e, \u003ccode\u003e.tar.gz\u003c/code\u003e, \u003ccode\u003e.tgz\u003c/code\u003e, and \u003ccode\u003e.zip\u003c/code\u003e, while \u003ccode\u003e.egg\u003c/code\u003e, \u003ccode\u003e.zip\u003c/code\u003e are supported as python file types.\u003c/p\u003e\n"]]],[],null,[]]
