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 Spark 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07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 reference documentation for the \u003ccode\u003eSparkRBatch\u003c/code\u003e class within the Google Cloud Dataproc v1 API, offering details on its structure and functionality for running Apache SparkR batch workloads.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version of \u003ccode\u003eSparkRBatch\u003c/code\u003e is 5.17.0, and the page also lists documentation links for versions ranging from 5.16.0 down to 3.1.0, covering a range of older releases.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eSparkRBatch\u003c/code\u003e is a sealed class that implements multiple interfaces including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e and inherits from the \u003ccode\u003eobject\u003c/code\u003e class, which has members such as \u003ccode\u003eGetHashCode()\u003c/code\u003e, \u003ccode\u003eGetType()\u003c/code\u003e, and \u003ccode\u003eToString()\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThe class contains properties like \u003ccode\u003eArchiveUris\u003c/code\u003e, \u003ccode\u003eArgs\u003c/code\u003e, \u003ccode\u003eFileUris\u003c/code\u003e, and \u003ccode\u003eMainRFileUri\u003c/code\u003e, for managing files and arguments to be used in the SparkR batch workload.\u003c/p\u003e\n"]]],[],null,["# Google Cloud Dataproc v1 API - Class SparkRBatch (5.20.0)\n\nVersion latestkeyboard_arrow_down\n\n- [5.20.0 (latest)](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/latest/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.19.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.19.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.18.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.18.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.17.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.17.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.16.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.16.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.15.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.15.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.14.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.14.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.13.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.13.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.12.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.12.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.11.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.11.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.10.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.10.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.9.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.9.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.8.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.8.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.7.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.7.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.6.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.6.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.5.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.5.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.4.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.4.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.3.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.3.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.2.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.2.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.1.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.1.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [5.0.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/5.0.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [4.0.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/4.0.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [3.4.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/3.4.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [3.3.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/3.3.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [3.2.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/3.2.0/Google.Cloud.Dataproc.V1.SparkRBatch)\n- [3.1.0](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/3.1.0/Google.Cloud.Dataproc.V1.SparkRBatch) \n\n public sealed class SparkRBatch : IMessage\u003cSparkRBatch\u003e, IEquatable\u003cSparkRBatch\u003e, IDeepCloneable\u003cSparkRBatch\u003e, IBufferMessage, IMessage\n\nReference documentation and code samples for the Google Cloud Dataproc v1 API class SparkRBatch.\n\nA configuration for running an\n[Apache SparkR](https://spark.apache.org/docs/latest/sparkr.html)\nbatch workload. \n\nInheritance\n-----------\n\n[object](https://learn.microsoft.com/dotnet/api/system.object) \\\u003e SparkRBatch \n\nImplements\n----------\n\n[IMessage](https://cloud.google.com/dotnet/docs/reference/Google.Protobuf/latest/Google.Protobuf.IMessage-1.html)[SparkRBatch](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/latest/Google.Cloud.Dataproc.V1.SparkRBatch), [IEquatable](https://learn.microsoft.com/dotnet/api/system.iequatable-1)[SparkRBatch](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/latest/Google.Cloud.Dataproc.V1.SparkRBatch), [IDeepCloneable](https://cloud.google.com/dotnet/docs/reference/Google.Protobuf/latest/Google.Protobuf.IDeepCloneable-1.html)[SparkRBatch](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/latest/Google.Cloud.Dataproc.V1.SparkRBatch), [IBufferMessage](https://cloud.google.com/dotnet/docs/reference/Google.Protobuf/latest/Google.Protobuf.IBufferMessage.html), [IMessage](https://cloud.google.com/dotnet/docs/reference/Google.Protobuf/latest/Google.Protobuf.IMessage.html) \n\nInherited Members\n-----------------\n\n[object.GetHashCode()](https://learn.microsoft.com/dotnet/api/system.object.gethashcode) \n[object.GetType()](https://learn.microsoft.com/dotnet/api/system.object.gettype) \n[object.ToString()](https://learn.microsoft.com/dotnet/api/system.object.tostring)\n\nNamespace\n---------\n\n[Google.Cloud.Dataproc.V1](/dotnet/docs/reference/Google.Cloud.Dataproc.V1/latest/Google.Cloud.Dataproc.V1)\n\nAssembly\n--------\n\nGoogle.Cloud.Dataproc.V1.dll\n\nConstructors\n------------\n\n### SparkRBatch()\n\n public SparkRBatch()\n\n### SparkRBatch(SparkRBatch)\n\n public SparkRBatch(SparkRBatch other)\n\nProperties\n----------\n\n### ArchiveUris\n\n public RepeatedField\u003cstring\u003e ArchiveUris { get; }\n\nOptional. HCFS URIs of archives to be extracted into the working directory\nof each executor. Supported file types:\n`.jar`, `.tar`, `.tar.gz`, `.tgz`, and `.zip`.\n\n### Args\n\n public RepeatedField\u003cstring\u003e Args { get; }\n\nOptional. The arguments to pass to the Spark driver. Do not include\narguments that can be set as batch properties, such as `--conf`, since a\ncollision can occur that causes an incorrect batch submission.\n\n### FileUris\n\n public RepeatedField\u003cstring\u003e FileUris { get; }\n\nOptional. HCFS URIs of files to be placed in the working directory of\neach executor.\n\n### MainRFileUri\n\n public string MainRFileUri { get; set; }\n\nRequired. The HCFS URI of the main R file to use as the driver.\nMust be a `.R` or `.r` file."]]
