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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07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\u003eThis webpage provides documentation for the \u003ccode\u003ePySparkBatch\u003c/code\u003e class within the Google Cloud Dataproc v1 API, specifically detailing its structure, methods, and usage.\u003c/p\u003e\n"],["\u003cp\u003eThe page lists various versions of the Google Cloud Dataproc v1 API, ranging from the latest version 5.17.0 down to 3.1.0, each with its corresponding documentation link, and version 5.7.0 being the main reference for the present page content.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003ePySparkBatch\u003c/code\u003e is designed for running Apache PySpark batch workloads, and it implements several interfaces such as \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, \u003ccode\u003eIBufferMessage\u003c/code\u003e, and \u003ccode\u003eIMessage\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003ePySparkBatch\u003c/code\u003e class offers several properties, like \u003ccode\u003eArchiveUris\u003c/code\u003e, \u003ccode\u003eArgs\u003c/code\u003e, \u003ccode\u003eFileUris\u003c/code\u003e, \u003ccode\u003eJarFileUris\u003c/code\u003e, \u003ccode\u003eMainPythonFileUri\u003c/code\u003e, and \u003ccode\u003ePythonFileUris\u003c/code\u003e, to configure the PySpark job environment, including specifying files, archives, and arguments.\u003c/p\u003e\n"],["\u003cp\u003eThe provided documentation includes information about the class's constructors (\u003ccode\u003ePySparkBatch()\u003c/code\u003e and \u003ccode\u003ePySparkBatch(PySparkBatch other)\u003c/code\u003e) along with a detailed breakdown of its properties, including the type and description of the value they represent.\u003c/p\u003e\n"]]],[],null,[]]
